From 7cac008c10fef3c24fab602ff4c5759ba999123b Mon Sep 17 00:00:00 2001
From: Nasrin <nasrin@kidocode.com>
Date: Wed, 22 Oct 2025 20:41:06 +0800
Subject: [PATCH] Release/v0.7.6 (#1556)
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* fix(docker-api): migrate to modern datetime library API

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>

* Fix examples in README.md

* feat(docker): add user-provided hooks support to Docker API

Implements comprehensive hooks functionality allowing users to provide custom Python
functions as strings that execute at specific points in the crawling pipeline.

Key Features:
- Support for all 8 crawl4ai hook points:
  • on_browser_created: Initialize browser settings
  • on_page_context_created: Configure page context
  • before_goto: Pre-navigation setup
  • after_goto: Post-navigation processing
  • on_user_agent_updated: User agent modification handling
  • on_execution_started: Crawl execution initialization
  • before_retrieve_html: Pre-extraction processing
  • before_return_html: Final HTML processing

Implementation Details:
- Created UserHookManager for validation, compilation, and safe execution
- Added IsolatedHookWrapper for error isolation and timeout protection
- AST-based validation ensures code structure correctness
- Sandboxed execution with restricted builtins for security
- Configurable timeout (1-120 seconds) prevents infinite loops
- Comprehensive error handling ensures hooks don't crash main process
- Execution tracking with detailed statistics and logging

API Changes:
- Added HookConfig schema with code and timeout fields
- Extended CrawlRequest with optional hooks parameter
- Added /hooks/info endpoint for hook discovery
- Updated /crawl and /crawl/stream endpoints to support hooks

Safety Features:
- Malformed hooks return clear validation errors
- Hook errors are isolated and reported without stopping crawl
- Execution statistics track success/failure/timeout rates
- All hook results are JSON-serializable

Testing:
- Comprehensive test suite covering all 8 hooks
- Error handling and timeout scenarios validated
- Authentication, performance, and content extraction examples
- 100% success rate in production testing

Documentation:
- Added extensive hooks section to docker-deployment.md
- Security warnings about user-provided code risks
- Real-world examples using httpbin.org, GitHub, BBC
- Best practices and troubleshooting guide

ref #1377

* fix(deep-crawl): BestFirst priority inversion; remove pre-scoring truncation. ref #1253

  Use negative scores in PQ to visit high-score URLs first and drop link cap prior to scoring; add test for ordering.

* docs: Update URL seeding examples to use proper async context managers
- Wrap all AsyncUrlSeeder usage with async context managers
- Update URL seeding adventure example to use "sitemap+cc" source, focus on course posts, and add stream=True parameter to fix runtime error

* fix(crawler): Removed the incorrect reference in browser_config variable #1310

* docs: update Docker instructions to use the latest release tag

* fix(docker): Fix LLM API key handling for multi-provider support

Previously, the system incorrectly used OPENAI_API_KEY for all LLM providers
due to a hardcoded api_key_env fallback in config.yml. This caused authentication
errors when using non-OpenAI providers like Gemini.

Changes:
- Remove api_key_env from config.yml to let litellm handle provider-specific env vars
- Simplify get_llm_api_key() to return None, allowing litellm to auto-detect keys
- Update validate_llm_provider() to trust litellm's built-in key detection
- Update documentation to reflect the new automatic key handling

The fix leverages litellm's existing capability to automatically find the correct
environment variable for each provider (OPENAI_API_KEY, GEMINI_API_TOKEN, etc.)
without manual configuration.

ref #1291

* docs: update adaptive crawler docs and cache defaults; remove deprecated examples (#1330)
- Replace BaseStrategy with CrawlStrategy in custom strategy examples (DomainSpecificStrategy, HybridStrategy)
- Remove “Custom Link Scoring” and “Caching Strategy” sections no longer aligned with current library
- Revise memory pruning example to use adaptive.get_relevant_content and index-based retention of top 500 docs
- Correct Quickstart note: default cache mode is CacheMode.BYPASS; instruct enabling with CacheMode.ENABLED

* fix(utils): Improve URL normalization by avoiding quote/unquote to preserve '+' signs. ref #1332

* feat: Add comprehensive website to API example with frontend

This commit adds a complete, web scraping API example that demonstrates how to get structured data from any website and use it like an API using the crawl4ai library with a minimalist frontend interface.

Core Functionality
- AI-powered web scraping with plain English queries
- Dual scraping approaches: Schema-based (faster) and LLM-based (flexible)
- Intelligent schema caching for improved performance
- Custom LLM model support with API key management
- Automatic duplicate request prevention

Modern Frontend Interface
- Minimalist black-and-white design inspired by modern web apps
- Responsive layout with smooth animations and transitions
- Three main pages: Scrape Data, Models Management, API Request History
- Real-time results display with JSON formatting
- Copy-to-clipboard functionality for extracted data
- Toast notifications for user feedback
- Auto-scroll to results when scraping starts

Model Management System
- Web-based model configuration interface
- Support for any LLM provider (OpenAI, Gemini, Anthropic, etc.)
- Simplified configuration requiring only provider and API token
- Add, list, and delete model configurations
- Secure storage of API keys in local JSON files

API Request History
- Automatic saving of all API requests and responses
- Display of request history with URL, query, and cURL commands
- Duplicate prevention (same URL + query combinations)
- Request deletion functionality
- Clean, simplified display focusing on essential information

Technical Implementation

Backend (FastAPI)
- RESTful API with comprehensive endpoints
- Pydantic models for request/response validation
- Async web scraping with crawl4ai library
- Error handling with detailed error messages
- File-based storage for models and request history

Frontend (Vanilla JS/CSS/HTML)
- No framework dependencies - pure HTML, CSS, JavaScript
- Modern CSS Grid and Flexbox layouts
- Custom dropdown styling with SVG arrows
- Responsive design for mobile and desktop
- Smooth scrolling and animations

Core Library Integration
- WebScraperAgent class for orchestration
- ModelConfig class for LLM configuration management
- Schema generation and caching system
- LLM extraction strategy support
- Browser configuration with headless mode

* fix(dependencies): add cssselect to project dependencies

Fixes bug reported in issue #1405
[Bug]: Excluded selector (excluded_selector) doesn't work

This commit reintroduces the cssselect library which was removed by PR (https://github.com/unclecode/crawl4ai/pull/1368) and merged via (https://github.com/unclecode/crawl4ai/commit/437395e4902e2925ea55319353f64555b6da407b).

Integration tested against 0.7.4 Docker container. Reintroducing cssselector package eliminated errors seen in logs and excluded_selector functionality was restored.

Refs: #1405

* fix(docker): resolve filter serialization and JSON encoding errors in deep crawl strategy (ref #1419)

  - Fix URLPatternFilter serialization by preventing private __slots__ from being serialized as constructor params
  - Add public attributes to URLPatternFilter to store original constructor parameters for proper serialization
  - Handle property descriptors in CrawlResult.model_dump() to prevent JSON serialization errors
  - Ensure filter chains work correctly with Docker client and REST API

  The issue occurred because:
  1. Private implementation details (_simple_suffixes, etc.) were being serialized and passed as constructor arguments during deserialization
  2. Property descriptors were being included in the serialized output, causing "Object of type property is not JSON serializable" errors

  Changes:
  - async_configs.py: Comment out __slots__ serialization logic (lines 100-109)
  - filters.py: Add patterns, use_glob, reverse to URLPatternFilter __slots__ and store as public attributes
  - models.py: Convert property descriptors to strings in model_dump() instead of including them directly

* fix(logger): ensure logger is a Logger instance in crawling strategies. ref #1437

* feat(docker): Add temperature and base_url parameters for LLM configuration. ref #1035

  Implement hierarchical configuration for LLM parameters with support for:
  - Temperature control (0.0-2.0) to adjust response creativity
  - Custom base_url for proxy servers and alternative endpoints
  - 4-tier priority: request params > provider env > global env > defaults

  Add helper functions in utils.py, update API schemas and handlers,
  support environment variables (LLM_TEMPERATURE, OPENAI_TEMPERATURE, etc.),
  and provide comprehensive documentation with examples.

* feat(docker): improve docker error handling
- Return comprehensive error messages along with status codes for api internal errors.
- Fix fit_html property serialization issue in both /crawl and /crawl/stream endpoints
- Add sanitization to ensure fit_html is always JSON-serializable (string or None)
- Add comprehensive error handling test suite.

* #1375 : refactor(proxy) Deprecate 'proxy' parameter in BrowserConfig and enhance proxy string parsing

- Updated ProxyConfig.from_string to support multiple proxy formats, including URLs with credentials.
- Deprecated the 'proxy' parameter in BrowserConfig, replacing it with 'proxy_config' for better flexibility.
- Added warnings for deprecated usage and clarified behavior when both parameters are provided.
- Updated documentation and tests to reflect changes in proxy configuration handling.

* Remove deprecated test for 'proxy' parameter in BrowserConfig and update .gitignore to include test_scripts directory.

* feat: add preserve_https_for_internal_links flag to maintain HTTPS during crawling. Ref #1410

Added a new `preserve_https_for_internal_links` configuration flag that preserves the original HTTPS scheme for same-domain links even when the server redirects to HTTP.

* feat: update documentation for preserve_https_for_internal_links. ref #1410

* fix: drop Python 3.9 support and require Python >=3.10.
The library no longer supports Python 3.9 and so it was important to drop all references to python 3.9.
Following changes have been made:
- pyproject.toml: set requires-python to ">=3.10"; remove 3.9 classifier
- setup.py: set python_requires to ">=3.10"; remove 3.9 classifier
- docs: update Python version mentions
  - deploy/docker/c4ai-doc-context.md: options -> 3.10, 3.11, 3.12, 3.13

* issue #1329 refactor(crawler): move unwanted properties to CrawlerRunConfig class

* fix(auth): fixed Docker JWT authentication. ref #1442

* remove: delete unused yoyo snapshot subproject

* fix: raise error on last attempt failure in perform_completion_with_backoff. ref #989

* Commit without API

* fix: update option labels in request builder for clarity

* fix: allow custom LLM providers for adaptive crawler embedding config. ref: #1291

  - Change embedding_llm_config from Dict to Union[LLMConfig, Dict] for type safety
  - Add backward-compatible conversion property _embedding_llm_config_dict
  - Replace all hardcoded OpenAI embedding configs with configurable options
  - Fix LLMConfig object attribute access in query expansion logic
  - Add comprehensive example demonstrating multiple provider configurations
  - Update documentation with both LLMConfig object and dictionary usage patterns

  Users can now specify any LLM provider for query expansion in embedding strategy:
  - New: embedding_llm_config=LLMConfig(provider='anthropic/claude-3', api_token='key')
  - Old: embedding_llm_config={'provider': 'openai/gpt-4', 'api_token': 'key'} (still works)

* refactor(BrowserConfig): change deprecation warning for 'proxy' parameter to UserWarning

* feat(StealthAdapter): fix stealth features for Playwright integration. ref #1481

* #1505 fix(api): update config handling to only set base config if not provided by user

* fix(docker-deployment): replace console.log with print for metadata extraction

* Release v0.7.5: The Update

- Updated version to 0.7.5
- Added comprehensive demo and release notes
- Updated documentation

* refactor(release): remove memory management section for cleaner documentation. ref #1443

* feat(docs): add brand book and page copy functionality

- Add comprehensive brand book with color system, typography, components
- Add page copy dropdown with markdown copy/view functionality
- Update mkdocs.yml with new assets and branding navigation
- Use terminal-style ASCII icons and condensed menu design

* Update gitignore add local scripts folder

* fix: remove this import as it causes python to treat "json" as a variable in the except block

* fix: always return a list, even if we catch an exception

* feat(marketplace): Add Crawl4AI marketplace with secure configuration

- Implement marketplace frontend and admin dashboard
- Add FastAPI backend with environment-based configuration
- Use .env file for secrets management
- Include data generation scripts
- Add proper CORS configuration
- Remove hardcoded password from admin login
- Update gitignore for security

* fix(marketplace): Update URLs to use /marketplace path and relative API endpoints

- Change API_BASE to relative '/api' for production
- Move marketplace to /marketplace instead of /marketplace/frontend
- Update MkDocs navigation
- Fix logo path in marketplace index

* fix(docs): hide copy menu on non-markdown pages

* feat(marketplace): add sponsor logo uploads

Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>

* feat(docs): add chatgpt quick link to page actions

* fix(marketplace): align admin api with backend endpoints

* fix(marketplace): isolate api under marketplace prefix

* fix(marketplace): resolve app detail page routing and styling issues

- Fixed JavaScript errors from missing HTML elements (install-code, usage-code, integration-code)
- Added missing CSS classes for tabs, overview layout, sidebar, and integration content
- Fixed tab navigation to display horizontally in single line
- Added proper padding to tab content sections (removed from container, added to content)
- Fixed tab selector from .nav-tab to .tab-btn to match HTML structure
- Added sidebar styling with stats grid and metadata display
- Improved responsive design with mobile-friendly tab scrolling
- Fixed code block positioning for copy buttons
- Removed margin from first headings to prevent extra spacing
- Added null checks for DOM elements in JavaScript to prevent errors

These changes resolve the routing issue where clicking on apps caused page redirects,
and fix the broken layout where CSS was not properly applied to the app detail page.

* fix(marketplace): prevent hero image overflow and secondary card stretching

- Fixed hero image to 200px height with min/max constraints
- Added object-fit: cover to hero-image img elements
- Changed secondary-featured align-items from stretch to flex-start
- Fixed secondary-card height to 118px (no flex: 1 stretching)
- Updated responsive grid layouts for wider screens
- Added flex: 1 to hero-content for better content distribution

These changes ensure a rigid, predictable layout that prevents:
1. Large images from pushing text content down
2. Single secondary cards from stretching to fill entire height

* feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377

   Add hooks_to_string() utility function that converts Python function objects
   to string representations for the Docker API, enabling developers to write hooks
   as regular Python functions instead of strings.

   Core Changes:
   - New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
   - Docker client now accepts both function objects and strings for hooks
   - Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
   - New hooks and hooks_timeout parameters in client.crawl() method

   Documentation:
   - Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
   - Updated main Docker deployment guide with comprehensive hooks section
   - Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)

* feat: Add hooks utility for function-based hooks with Docker client integration. ref #1377

   Add hooks_to_string() utility function that converts Python function objects
   to string representations for the Docker API, enabling developers to write hooks
   as regular Python functions instead of strings.

   Core Changes:
   - New hooks_to_string() utility in crawl4ai/utils.py using inspect.getsource()
   - Docker client now accepts both function objects and strings for hooks
   - Automatic detection and conversion in Crawl4aiDockerClient._prepare_request()
   - New hooks and hooks_timeout parameters in client.crawl() method

   Documentation:
   - Docker client examples with function-based hooks (docs/examples/docker_client_hooks_example.py)
   - Updated main Docker deployment guide with comprehensive hooks section
   - Added unit tests for hooks utility (tests/docker/test_hooks_utility.py)

* fix(docs): clarify Docker Hooks System with function-based API in README

* docs: Add demonstration files for v0.7.5 release, showcasing the new Docker Hooks System and all other features.

* docs: Update 0.7.5 video walkthrough

* docs: add complete SDK reference documentation

Add comprehensive single-page SDK reference combining:
- Installation & Setup
- Quick Start
- Core API (AsyncWebCrawler, arun, arun_many, CrawlResult)
- Configuration (BrowserConfig, CrawlerConfig, Parameters)
- Crawling Patterns
- Content Processing (Markdown, Fit Markdown, Selection, Interaction, Link & Media)
- Extraction Strategies (LLM and No-LLM)
- Advanced Features (Session Management, Hooks & Auth)

Generated using scripts/generate_sdk_docs.py in ultra-dense mode
optimized for AI assistant consumption.

Stats: 23K words, 185 code blocks, 220KB

* feat: add AI assistant skill package for Crawl4AI

- Create comprehensive skill package for AI coding assistants
- Include complete SDK reference (23K words, v0.7.4)
- Add three extraction scripts (basic, batch, pipeline)
- Implement version tracking in skill and scripts
- Add prominent download section on homepage
- Place skill in docs/assets for web distribution

The skill enables AI assistants like Claude, Cursor, and Windsurf
to effectively use Crawl4AI with optimized workflows for markdown
generation and data extraction.

* fix: remove non-existent wiki link and clarify skill usage instructions

* fix: update Crawl4AI skill with corrected parameters and examples

- Fixed CrawlerConfig → CrawlerRunConfig throughout
- Fixed parameter names (timeout → page_timeout, store_html removed)
- Fixed schema format (selector → baseSelector)
- Corrected proxy configuration (in BrowserConfig, not CrawlerRunConfig)
- Fixed fit_markdown usage with content filters
- Added comprehensive references to docs/examples/ directory
- Created safe packaging script to avoid root directory pollution
- All scripts tested and verified working

* fix: thoroughly verify and fix all Crawl4AI skill examples

- Cross-checked every section against actual docs
- Fixed BM25ContentFilter parameters (user_query, bm25_threshold)
- Removed incorrect wait_for selector from basic example
- Added comprehensive test suite (4 test files)
- All examples now tested and verified working
- Tests validate: basic crawling, markdown generation, data extraction, advanced patterns
- Package size: 76.6 KB (includes tests for future validation)

* feat(ci): split release pipeline and add Docker caching

- Split release.yml into PyPI/GitHub release and Docker workflows
- Add GitHub Actions cache for Docker builds (10-15x faster rebuilds)
- Implement dual-trigger for docker-release.yml (auto + manual)
- Add comprehensive workflow documentation in .github/workflows/docs/
- Backup original workflow as release.yml.backup

* feat: add webhook notifications for crawl job completion

Implements webhook support for the crawl job API to eliminate polling requirements.

Changes:
- Added WebhookConfig and WebhookPayload schemas to schemas.py
- Created webhook.py with WebhookDeliveryService class
- Integrated webhook notifications in api.py handle_crawl_job
- Updated job.py CrawlJobPayload to accept webhook_config
- Added webhook configuration section to config.yml
- Included comprehensive usage examples in WEBHOOK_EXAMPLES.md

Features:
- Webhook notifications on job completion (success/failure)
- Configurable data inclusion in webhook payload
- Custom webhook headers support
- Global default webhook URL configuration
- Exponential backoff retry logic (5 attempts: 1s, 2s, 4s, 8s, 16s)
- 30-second timeout per webhook call

Usage:
POST /crawl/job with optional webhook_config:
- webhook_url: URL to receive notifications
- webhook_data_in_payload: include full results (default: false)
- webhook_headers: custom headers for authentication

Generated with Claude Code https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: add webhook documentation to Docker README

Added comprehensive webhook section to README.md including:
- Overview of asynchronous job queue with webhooks
- Benefits and use cases
- Quick start examples
- Webhook authentication
- Global webhook configuration
- Job status polling alternative

Updated table of contents and summary to include webhook feature.
Maintains consistent tone and style with rest of README.

Generated with Claude Code https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

* docs: add webhook example for Docker deployment

Added docker_webhook_example.py demonstrating:
- Submitting crawl jobs with webhook configuration
- Flask-based webhook receiver implementation
- Three usage patterns:
  1. Webhook notification only (fetch data separately)
  2. Webhook with full data in payload
  3. Traditional polling approach for comparison

Includes comprehensive comments explaining:
- Webhook payload structure
- Authentication headers setup
- Error handling
- Production deployment tips

Example is fully functional and ready to run with Flask installed.

Generated with Claude Code https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

* test: add webhook implementation validation tests

Added comprehensive test suite to validate webhook implementation:
- Module import verification
- WebhookDeliveryService initialization
- Pydantic model validation (WebhookConfig)
- Payload construction logic
- Exponential backoff calculation
- API integration checks

All tests pass (6/6), confirming implementation is correct.

Generated with Claude Code https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

* test: add comprehensive webhook feature test script

Added end-to-end test script that automates webhook feature testing:

Script Features (test_webhook_feature.sh):
- Automatic branch switching and dependency installation
- Redis and server startup/shutdown management
- Webhook receiver implementation
- Integration test for webhook notifications
- Comprehensive cleanup and error handling
- Returns to original branch after completion

Test Flow:
1. Fetch and checkout webhook feature branch
2. Activate venv and install dependencies
3. Start Redis and Crawl4AI server
4. Submit crawl job with webhook config
5. Verify webhook delivery and payload
6. Clean up all processes and return to original branch

Documentation:
- WEBHOOK_TEST_README.md with usage instructions
- Troubleshooting guide
- Exit codes and safety features

Usage: ./tests/test_webhook_feature.sh

Generated with Claude Code https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: properly serialize Pydantic HttpUrl in webhook config

Use model_dump(mode='json') instead of deprecated dict() method to ensure
Pydantic special types (HttpUrl, UUID, etc.) are properly serialized to
JSON-compatible native Python types.

This fixes webhook delivery failures caused by HttpUrl objects remaining
as Pydantic types in the webhook_config dict, which caused JSON
serialization errors and httpx request failures.

Also update mcp requirement to >=1.18.0 for compatibility.

* feat: add webhook support for /llm/job endpoint

Add comprehensive webhook notification support for the /llm/job endpoint,
following the same pattern as the existing /crawl/job implementation.

Changes:
- Add webhook_config field to LlmJobPayload model (job.py)
- Implement webhook notifications in process_llm_extraction() with 4
  notification points: success, provider validation failure, extraction
  failure, and general exceptions (api.py)
- Store webhook_config in Redis task data for job tracking
- Initialize WebhookDeliveryService with exponential backoff retry logic
Documentation:
- Add Example 6 to WEBHOOK_EXAMPLES.md showing LLM extraction with webhooks
- Update Flask webhook handler to support both crawl and llm_extraction tasks
- Add TypeScript client examples for LLM jobs
- Add comprehensive examples to docker_webhook_example.py with schema support
- Clarify data structure differences between webhook and API responses

Testing:
- Add test_llm_webhook_feature.py with 7 validation tests (all passing)
- Verify pattern consistency with /crawl/job implementation
- Add implementation guide (WEBHOOK_LLM_JOB_IMPLEMENTATION.md)

* fix: remove duplicate comma in webhook_config parameter

* fix: update Crawl4AI Docker container port from 11234 to 11235

* Release v0.7.6: The 0.7.6 Update

- Updated version to 0.7.6
- Added comprehensive demo and release notes
- Updated all documentation
- Update the veriosn in Dockerfile to 0.7.6

---------

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Co-authored-by: Nezar Ali <abu5sohaib@gmail.com>
Co-authored-by: Soham Kukreti <kukretisoham@gmail.com>
Co-authored-by: James T. Wood <jamesthomaswood@gmail.com>
Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com>
Co-authored-by: nafeqq-1306 <nafiquee@yahoo.com>
Co-authored-by: unclecode <unclecode@kidocode.com>
Co-authored-by: Martin Sjöborg <martin.sjoborg@quartr.se>
Co-authored-by: Martin Sjöborg <martin@sjoborg.org>
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Co-authored-by: Claude <noreply@anthropic.com>
---
 .github/workflows/docker-release.yml          |   81 +
 .github/workflows/docs/ARCHITECTURE.md        |  917 +++
 .github/workflows/docs/README.md              | 1029 ++++
 .github/workflows/docs/WORKFLOW_REFERENCE.md  |  287 +
 .github/workflows/release.yml                 |   79 +-
 .github/workflows/release.yml.backup          |  142 +
 .gitignore                                    |   15 +-
 CHANGELOG.md                                  |   10 +
 Dockerfile                                    |    2 +-
 README.md                                     |   68 +-
 crawl4ai/__init__.py                          |    4 +-
 crawl4ai/__version__.py                       |    2 +-
 crawl4ai/adaptive_crawler.py                  |   78 +-
 crawl4ai/async_configs.py                     |   93 +-
 crawl4ai/async_crawler_strategy.back.py       |    2 +-
 crawl4ai/async_dispatcher.py                  |    3 +-
 crawl4ai/async_webcrawler.py                  |    2 +
 crawl4ai/browser_adapter.py                   |  128 +
 crawl4ai/browser_manager.py                   |   72 +-
 crawl4ai/content_scraping_strategy.py         |    6 +-
 crawl4ai/deep_crawling/bff_strategy.py        |   20 +-
 crawl4ai/deep_crawling/bfs_strategy.py        |    8 +-
 crawl4ai/deep_crawling/filters.py             |    8 +
 crawl4ai/docker_client.py                     |   75 +-
 crawl4ai/models.py                            |   10 +
 crawl4ai/utils.py                             |  102 +-
 deploy/docker/.llm.env.example                |   21 +-
 deploy/docker/README.md                       |  163 +-
 deploy/docker/WEBHOOK_EXAMPLES.md             |  378 ++
 deploy/docker/api.py                          |  268 +-
 deploy/docker/auth.py                         |   34 +-
 deploy/docker/c4ai-code-context.md            |   19 +-
 deploy/docker/c4ai-doc-context.md             |    2 +-
 deploy/docker/config.yml                      |   22 +-
 deploy/docker/hook_manager.py                 |  512 ++
 deploy/docker/job.py                          |   19 +-
 deploy/docker/requirements.txt                |    2 +-
 deploy/docker/schemas.py                      |   68 +-
 deploy/docker/server.py                       |  248 +-
 deploy/docker/static/playground/index.html    |   40 +-
 deploy/docker/utils.py                        |   92 +-
 deploy/docker/webhook.py                      |  159 +
 docs/blog/release-v0.7.4.md                   |   35 -
 docs/blog/release-v0.7.5.md                   |  318 +
 docs/blog/release-v0.7.6.md                   |  314 +
 .../adaptive_crawling/llm_config_example.py   |  154 +
 docs/examples/docker_client_hooks_example.py  |  522 ++
 docs/examples/docker_hooks_examples.py        |  513 ++
 docs/examples/docker_webhook_example.py       |  461 ++
 docs/examples/website-to-api/.gitignore       |  221 +
 docs/examples/website-to-api/README.md        |  252 +
 docs/examples/website-to-api/api_server.py    |  363 ++
 docs/examples/website-to-api/app.py           |   49 +
 .../website-to-api/assets/crawl4ai_logo.jpg   |  Bin 0 -> 5920 bytes
 docs/examples/website-to-api/requirements.txt |    5 +
 .../examples/website-to-api/static/index.html |  201 +
 docs/examples/website-to-api/static/script.js |  401 ++
 .../examples/website-to-api/static/styles.css |  765 +++
 docs/examples/website-to-api/test_api.py      |   28 +
 docs/examples/website-to-api/test_models.py   |   67 +
 .../website-to-api/web_scraper_lib.py         |  397 ++
 docs/md_v2/advanced/adaptive-strategies.md    |   50 +-
 docs/md_v2/advanced/proxy-security.md         |   12 +-
 docs/md_v2/api/parameters.md                  |    3 +-
 docs/md_v2/assets/crawl4ai-skill.zip          |  Bin 0 -> 78441 bytes
 docs/md_v2/assets/images/logo.png             |  Bin 0 -> 1622 bytes
 docs/md_v2/assets/page_actions.css            |  376 ++
 docs/md_v2/assets/page_actions.js             |  427 ++
 docs/md_v2/blog/index.md                      |   42 +-
 docs/md_v2/blog/releases/0.7.6.md             |  314 +
 docs/md_v2/blog/releases/v0.7.5.md            |  318 +
 docs/md_v2/branding/index.md                  | 1371 +++++
 docs/md_v2/complete-sdk-reference.md          | 5196 +++++++++++++++++
 docs/md_v2/core/adaptive-crawling.md          |   14 +-
 docs/md_v2/core/deep-crawling.md              |   11 +
 docs/md_v2/core/docker-deployment.md          |  957 ++-
 docs/md_v2/core/quickstart.md                 |    2 +-
 docs/md_v2/core/url-seeding.md                |   64 +-
 docs/md_v2/index.md                           |   21 +
 docs/md_v2/marketplace/README.md              |   66 +
 docs/md_v2/marketplace/admin/admin.css        |  759 +++
 docs/md_v2/marketplace/admin/admin.js         |  920 +++
 docs/md_v2/marketplace/admin/index.html       |  215 +
 docs/md_v2/marketplace/app-detail.css         |  658 +++
 docs/md_v2/marketplace/app-detail.html        |  209 +
 docs/md_v2/marketplace/app-detail.js          |  348 ++
 docs/md_v2/marketplace/backend/.env.example   |   14 +
 docs/md_v2/marketplace/backend/config.py      |   59 +
 docs/md_v2/marketplace/backend/database.py    |  117 +
 docs/md_v2/marketplace/backend/dummy_data.py  |  267 +
 .../marketplace/backend/requirements.txt      |    5 +
 docs/md_v2/marketplace/backend/schema.yaml    |   75 +
 docs/md_v2/marketplace/backend/server.py      |  493 ++
 .../marketplace/backend/uploads/.gitignore    |    2 +
 .../md_v2/marketplace/frontend/app-detail.css |  462 ++
 .../marketplace/frontend/app-detail.html      |  234 +
 docs/md_v2/marketplace/frontend/app-detail.js |  334 ++
 docs/md_v2/marketplace/frontend/index.html    |  147 +
 .../marketplace/frontend/marketplace.css      |  957 +++
 .../md_v2/marketplace/frontend/marketplace.js |  395 ++
 docs/md_v2/marketplace/index.html             |  147 +
 docs/md_v2/marketplace/marketplace.css        |  994 ++++
 docs/md_v2/marketplace/marketplace.js         |  412 ++
 docs/releases_review/demo_v0.7.5.py           |  338 ++
 docs/releases_review/demo_v0.7.6.py           |  359 ++
 .../v0.7.5_docker_hooks_demo.py               |  655 +++
 .../v0.7.5_video_walkthrough.ipynb            | 1516 +++++
 mkdocs.yml                                    |   12 +-
 pyproject.toml                                |    4 +-
 requirements.txt                              |    1 +
 setup.py                                      |    3 +-
 test_llm_webhook_feature.py                   |  401 ++
 test_webhook_implementation.py                |  307 +
 tests/WEBHOOK_TEST_README.md                  |  251 +
 tests/adaptive/test_llm_embedding.py          |  154 +
 tests/async/test_0.4.2_browser_manager.py     |    2 +-
 tests/docker/test_filter_deep_crawl.py        |  201 +
 tests/docker/test_hooks_client.py             |  372 ++
 tests/docker/test_hooks_comprehensive.py      |  512 ++
 tests/docker/test_hooks_utility.py            |  193 +
 tests/docker/test_llm_params.py               |  349 ++
 tests/docker/test_server_requests.py          |  237 +-
 tests/general/test_bff_scoring.py             |  117 +
 tests/memory/test_docker_config_gen.py        |    2 +-
 tests/proxy/test_proxy_deprecation.py         |   42 +
 .../test_preserve_https_for_internal_links.py |  175 +
 tests/test_webhook_feature.sh                 |  305 +
 127 files changed, 33817 insertions(+), 514 deletions(-)
 create mode 100644 .github/workflows/docker-release.yml
 create mode 100644 .github/workflows/docs/ARCHITECTURE.md
 create mode 100644 .github/workflows/docs/README.md
 create mode 100644 .github/workflows/docs/WORKFLOW_REFERENCE.md
 create mode 100644 .github/workflows/release.yml.backup
 create mode 100644 deploy/docker/WEBHOOK_EXAMPLES.md
 create mode 100644 deploy/docker/hook_manager.py
 create mode 100644 deploy/docker/webhook.py
 create mode 100644 docs/blog/release-v0.7.5.md
 create mode 100644 docs/blog/release-v0.7.6.md
 create mode 100644 docs/examples/adaptive_crawling/llm_config_example.py
 create mode 100644 docs/examples/docker_client_hooks_example.py
 create mode 100644 docs/examples/docker_hooks_examples.py
 create mode 100644 docs/examples/docker_webhook_example.py
 create mode 100644 docs/examples/website-to-api/.gitignore
 create mode 100644 docs/examples/website-to-api/README.md
 create mode 100644 docs/examples/website-to-api/api_server.py
 create mode 100644 docs/examples/website-to-api/app.py
 create mode 100644 docs/examples/website-to-api/assets/crawl4ai_logo.jpg
 create mode 100644 docs/examples/website-to-api/requirements.txt
 create mode 100644 docs/examples/website-to-api/static/index.html
 create mode 100644 docs/examples/website-to-api/static/script.js
 create mode 100644 docs/examples/website-to-api/static/styles.css
 create mode 100644 docs/examples/website-to-api/test_api.py
 create mode 100644 docs/examples/website-to-api/test_models.py
 create mode 100644 docs/examples/website-to-api/web_scraper_lib.py
 create mode 100644 docs/md_v2/assets/crawl4ai-skill.zip
 create mode 100644 docs/md_v2/assets/images/logo.png
 create mode 100644 docs/md_v2/assets/page_actions.css
 create mode 100644 docs/md_v2/assets/page_actions.js
 create mode 100644 docs/md_v2/blog/releases/0.7.6.md
 create mode 100644 docs/md_v2/blog/releases/v0.7.5.md
 create mode 100644 docs/md_v2/branding/index.md
 create mode 100644 docs/md_v2/complete-sdk-reference.md
 create mode 100644 docs/md_v2/marketplace/README.md
 create mode 100644 docs/md_v2/marketplace/admin/admin.css
 create mode 100644 docs/md_v2/marketplace/admin/admin.js
 create mode 100644 docs/md_v2/marketplace/admin/index.html
 create mode 100644 docs/md_v2/marketplace/app-detail.css
 create mode 100644 docs/md_v2/marketplace/app-detail.html
 create mode 100644 docs/md_v2/marketplace/app-detail.js
 create mode 100644 docs/md_v2/marketplace/backend/.env.example
 create mode 100644 docs/md_v2/marketplace/backend/config.py
 create mode 100644 docs/md_v2/marketplace/backend/database.py
 create mode 100644 docs/md_v2/marketplace/backend/dummy_data.py
 create mode 100644 docs/md_v2/marketplace/backend/requirements.txt
 create mode 100644 docs/md_v2/marketplace/backend/schema.yaml
 create mode 100644 docs/md_v2/marketplace/backend/server.py
 create mode 100644 docs/md_v2/marketplace/backend/uploads/.gitignore
 create mode 100644 docs/md_v2/marketplace/frontend/app-detail.css
 create mode 100644 docs/md_v2/marketplace/frontend/app-detail.html
 create mode 100644 docs/md_v2/marketplace/frontend/app-detail.js
 create mode 100644 docs/md_v2/marketplace/frontend/index.html
 create mode 100644 docs/md_v2/marketplace/frontend/marketplace.css
 create mode 100644 docs/md_v2/marketplace/frontend/marketplace.js
 create mode 100644 docs/md_v2/marketplace/index.html
 create mode 100644 docs/md_v2/marketplace/marketplace.css
 create mode 100644 docs/md_v2/marketplace/marketplace.js
 create mode 100644 docs/releases_review/demo_v0.7.5.py
 create mode 100644 docs/releases_review/demo_v0.7.6.py
 create mode 100644 docs/releases_review/v0.7.5_docker_hooks_demo.py
 create mode 100644 docs/releases_review/v0.7.5_video_walkthrough.ipynb
 create mode 100644 test_llm_webhook_feature.py
 create mode 100644 test_webhook_implementation.py
 create mode 100644 tests/WEBHOOK_TEST_README.md
 create mode 100644 tests/adaptive/test_llm_embedding.py
 create mode 100644 tests/docker/test_filter_deep_crawl.py
 create mode 100644 tests/docker/test_hooks_client.py
 create mode 100644 tests/docker/test_hooks_comprehensive.py
 create mode 100644 tests/docker/test_hooks_utility.py
 create mode 100755 tests/docker/test_llm_params.py
 create mode 100644 tests/general/test_bff_scoring.py
 create mode 100644 tests/proxy/test_proxy_deprecation.py
 create mode 100644 tests/test_preserve_https_for_internal_links.py
 create mode 100755 tests/test_webhook_feature.sh

diff --git a/.github/workflows/docker-release.yml b/.github/workflows/docker-release.yml
new file mode 100644
index 00000000..5ff1b78a
--- /dev/null
+++ b/.github/workflows/docker-release.yml
@@ -0,0 +1,81 @@
+name: Docker Release
+on:
+  release:
+    types: [published]
+  push:
+    tags:
+      - 'docker-rebuild-v*'  # Allow manual Docker rebuilds via tags
+
+jobs:
+  docker:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Extract version from release or tag
+        id: get_version
+        run: |
+          if [ "${{ github.event_name }}" == "release" ]; then
+            # Triggered by release event
+            VERSION="${{ github.event.release.tag_name }}"
+            VERSION=${VERSION#v}  # Remove 'v' prefix
+          else
+            # Triggered by docker-rebuild-v* tag
+            VERSION=${GITHUB_REF#refs/tags/docker-rebuild-v}
+          fi
+          echo "VERSION=$VERSION" >> $GITHUB_OUTPUT
+          echo "Building Docker images for version: $VERSION"
+
+      - name: Extract major and minor versions
+        id: versions
+        run: |
+          VERSION=${{ steps.get_version.outputs.VERSION }}
+          MAJOR=$(echo $VERSION | cut -d. -f1)
+          MINOR=$(echo $VERSION | cut -d. -f1-2)
+          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
+          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
+          echo "Semantic versions - Major: $MAJOR, Minor: $MINOR"
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_TOKEN }}
+
+      - name: Build and push Docker images
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: |
+            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
+            unclecode/crawl4ai:latest
+          platforms: linux/amd64,linux/arm64
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      - name: Summary
+        run: |
+          echo "## 🐳 Docker Release Complete!" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### Published Images" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### Platforms" >> $GITHUB_STEP_SUMMARY
+          echo "- linux/amd64" >> $GITHUB_STEP_SUMMARY
+          echo "- linux/arm64" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 🚀 Pull Command" >> $GITHUB_STEP_SUMMARY
+          echo "\`\`\`bash" >> $GITHUB_STEP_SUMMARY
+          echo "docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
+          echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
diff --git a/.github/workflows/docs/ARCHITECTURE.md b/.github/workflows/docs/ARCHITECTURE.md
new file mode 100644
index 00000000..aab2e8c1
--- /dev/null
+++ b/.github/workflows/docs/ARCHITECTURE.md
@@ -0,0 +1,917 @@
+# Workflow Architecture Documentation
+
+## Overview
+
+This document describes the technical architecture of the split release pipeline for Crawl4AI.
+
+---
+
+## Architecture Diagram
+
+```
+┌─────────────────────────────────────────────────────────────────┐
+│                         Developer                                │
+│                              │                                   │
+│                              ▼                                   │
+│                    git tag v1.2.3                               │
+│                    git push --tags                              │
+└──────────────────────────────┬──────────────────────────────────┘
+                               │
+                               ▼
+┌─────────────────────────────────────────────────────────────────┐
+│                      GitHub Repository                           │
+│                                                                  │
+│  ┌────────────────────────────────────────────────────────┐   │
+│  │                  Tag Event: v1.2.3                      │   │
+│  └────────────────────────────────────────────────────────┘   │
+│                              │                                   │
+│                              ▼                                   │
+│  ┌────────────────────────────────────────────────────────┐   │
+│  │           release.yml (Release Pipeline)               │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 1. Extract Version                            │     │   │
+│  │  │    v1.2.3 → 1.2.3                            │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 2. Validate Version                           │     │   │
+│  │  │    Tag == __version__.py                      │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 3. Build Python Package                       │     │   │
+│  │  │    - Source dist (.tar.gz)                    │     │   │
+│  │  │    - Wheel (.whl)                             │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 4. Upload to PyPI                             │     │   │
+│  │  │    - Authenticate with token                  │     │   │
+│  │  │    - Upload dist/*                            │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 5. Create GitHub Release                      │     │   │
+│  │  │    - Tag: v1.2.3                              │     │   │
+│  │  │    - Body: Install instructions               │     │   │
+│  │  │    - Status: Published                        │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  └────────────────────────────────────────────────────────┘   │
+│                              │                                   │
+│                              ▼                                   │
+│  ┌────────────────────────────────────────────────────────┐   │
+│  │         Release Event: published (v1.2.3)              │   │
+│  └────────────────────────────────────────────────────────┘   │
+│                              │                                   │
+│                              ▼                                   │
+│  ┌────────────────────────────────────────────────────────┐   │
+│  │         docker-release.yml (Docker Pipeline)           │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 1. Extract Version from Release               │     │   │
+│  │  │    github.event.release.tag_name → 1.2.3     │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 2. Parse Semantic Versions                    │     │   │
+│  │  │    1.2.3 → Major: 1, Minor: 1.2              │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 3. Setup Multi-Arch Build                     │     │   │
+│  │  │    - Docker Buildx                            │     │   │
+│  │  │    - QEMU emulation                           │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 4. Authenticate Docker Hub                    │     │   │
+│  │  │    - Username: DOCKER_USERNAME                │     │   │
+│  │  │    - Token: DOCKER_TOKEN                      │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 5. Build Multi-Arch Images                    │     │   │
+│  │  │    ┌────────────────┬────────────────┐       │     │   │
+│  │  │    │  linux/amd64   │  linux/arm64   │       │     │   │
+│  │  │    └────────────────┴────────────────┘       │     │   │
+│  │  │    Cache: GitHub Actions (type=gha)          │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  │  ┌──────────────────────────────────────────────┐     │   │
+│  │  │ 6. Push to Docker Hub                         │     │   │
+│  │  │    Tags:                                      │     │   │
+│  │  │    - unclecode/crawl4ai:1.2.3                │     │   │
+│  │  │    - unclecode/crawl4ai:1.2                  │     │   │
+│  │  │    - unclecode/crawl4ai:1                    │     │   │
+│  │  │    - unclecode/crawl4ai:latest               │     │   │
+│  │  └──────────────────────────────────────────────┘     │   │
+│  └────────────────────────────────────────────────────────┘   │
+└─────────────────────────────────────────────────────────────────┘
+                               │
+                               ▼
+┌─────────────────────────────────────────────────────────────────┐
+│                     External Services                            │
+│                                                                  │
+│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
+│  │    PyPI      │  │  Docker Hub  │  │   GitHub     │         │
+│  │              │  │              │  │              │         │
+│  │  crawl4ai    │  │ unclecode/   │  │  Releases    │         │
+│  │  1.2.3       │  │ crawl4ai     │  │  v1.2.3      │         │
+│  └──────────────┘  └──────────────┘  └──────────────┘         │
+└─────────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## Component Details
+
+### 1. Release Pipeline (release.yml)
+
+#### Purpose
+Fast publication of Python package and GitHub release.
+
+#### Input
+- **Trigger**: Git tag matching `v*` (excluding `test-v*`)
+- **Example**: `v1.2.3`
+
+#### Processing Stages
+
+##### Stage 1: Version Extraction
+```bash
+Input:  refs/tags/v1.2.3
+Output: VERSION=1.2.3
+```
+
+**Implementation**:
+```bash
+TAG_VERSION=${GITHUB_REF#refs/tags/v}  # Remove 'refs/tags/v' prefix
+echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
+```
+
+##### Stage 2: Version Validation
+```bash
+Input:  TAG_VERSION=1.2.3
+Check:  crawl4ai/__version__.py contains __version__ = "1.2.3"
+Output: Pass/Fail
+```
+
+**Implementation**:
+```bash
+PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
+if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
+  exit 1
+fi
+```
+
+##### Stage 3: Package Build
+```bash
+Input:  Source code + pyproject.toml
+Output: dist/crawl4ai-1.2.3.tar.gz
+        dist/crawl4ai-1.2.3-py3-none-any.whl
+```
+
+**Implementation**:
+```bash
+python -m build
+# Uses build backend defined in pyproject.toml
+```
+
+##### Stage 4: PyPI Upload
+```bash
+Input:  dist/*.{tar.gz,whl}
+Auth:   PYPI_TOKEN
+Output: Package published to PyPI
+```
+
+**Implementation**:
+```bash
+twine upload dist/*
+# Environment:
+#   TWINE_USERNAME: __token__
+#   TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
+```
+
+##### Stage 5: GitHub Release Creation
+```bash
+Input:  Tag: v1.2.3
+        Body: Markdown content
+Output: Published GitHub release
+```
+
+**Implementation**:
+```yaml
+uses: softprops/action-gh-release@v2
+with:
+  tag_name: v1.2.3
+  name: Release v1.2.3
+  body: |
+    Installation instructions and changelog
+  draft: false
+  prerelease: false
+```
+
+#### Output
+- **PyPI Package**: https://pypi.org/project/crawl4ai/1.2.3/
+- **GitHub Release**: Published release on repository
+- **Event**: `release.published` (triggers Docker workflow)
+
+#### Timeline
+```
+0:00 - Tag pushed
+0:01 - Checkout + Python setup
+0:02 - Version validation
+0:03 - Package build
+0:04 - PyPI upload starts
+0:06 - PyPI upload complete
+0:07 - GitHub release created
+0:08 - Workflow complete
+```
+
+---
+
+### 2. Docker Release Pipeline (docker-release.yml)
+
+#### Purpose
+Build and publish multi-architecture Docker images.
+
+#### Inputs
+
+##### Input 1: Release Event (Automatic)
+```yaml
+Event: release.published
+Data:  github.event.release.tag_name = "v1.2.3"
+```
+
+##### Input 2: Docker Rebuild Tag (Manual)
+```yaml
+Tag: docker-rebuild-v1.2.3
+```
+
+#### Processing Stages
+
+##### Stage 1: Version Detection
+```bash
+# From release event:
+VERSION = github.event.release.tag_name.strip("v")
+# Result: "1.2.3"
+
+# From rebuild tag:
+VERSION = GITHUB_REF.replace("refs/tags/docker-rebuild-v", "")
+# Result: "1.2.3"
+```
+
+##### Stage 2: Semantic Version Parsing
+```bash
+Input:  VERSION=1.2.3
+Output: MAJOR=1
+        MINOR=1.2
+        PATCH=3 (implicit)
+```
+
+**Implementation**:
+```bash
+MAJOR=$(echo $VERSION | cut -d. -f1)    # Extract first component
+MINOR=$(echo $VERSION | cut -d. -f1-2)  # Extract first two components
+```
+
+##### Stage 3: Multi-Architecture Setup
+```yaml
+Setup:
+  - Docker Buildx (multi-platform builder)
+  - QEMU (ARM emulation on x86)
+
+Platforms:
+  - linux/amd64 (x86_64)
+  - linux/arm64 (aarch64)
+```
+
+**Architecture**:
+```
+GitHub Runner (linux/amd64)
+  ├─ Buildx Builder
+  │   ├─ Native: Build linux/amd64 image
+  │   └─ QEMU: Emulate ARM to build linux/arm64 image
+  └─ Generate manifest list (points to both images)
+```
+
+##### Stage 4: Docker Hub Authentication
+```bash
+Input:  DOCKER_USERNAME
+        DOCKER_TOKEN
+Output: Authenticated Docker client
+```
+
+##### Stage 5: Build with Cache
+```yaml
+Cache Configuration:
+  cache-from: type=gha           # Read from GitHub Actions cache
+  cache-to: type=gha,mode=max    # Write all layers
+
+Cache Key Components:
+  - Workflow file path
+  - Branch name
+  - Architecture (amd64/arm64)
+```
+
+**Cache Hierarchy**:
+```
+Cache Entry: main/docker-release.yml/linux-amd64
+  ├─ Layer: sha256:abc123... (FROM python:3.12)
+  ├─ Layer: sha256:def456... (RUN apt-get update)
+  ├─ Layer: sha256:ghi789... (COPY requirements.txt)
+  ├─ Layer: sha256:jkl012... (RUN pip install)
+  └─ Layer: sha256:mno345... (COPY . /app)
+
+Cache Hit/Miss Logic:
+  - If layer input unchanged → cache hit → skip build
+  - If layer input changed → cache miss → rebuild + all subsequent layers
+```
+
+##### Stage 6: Tag Generation
+```bash
+Input:  VERSION=1.2.3, MAJOR=1, MINOR=1.2
+
+Output Tags:
+  - unclecode/crawl4ai:1.2.3    (exact version)
+  - unclecode/crawl4ai:1.2      (minor version)
+  - unclecode/crawl4ai:1        (major version)
+  - unclecode/crawl4ai:latest   (latest stable)
+```
+
+**Tag Strategy**:
+- All tags point to same image SHA
+- Users can pin to desired stability level
+- Pushing new version updates `1`, `1.2`, and `latest` automatically
+
+##### Stage 7: Push to Registry
+```bash
+For each tag:
+  For each platform (amd64, arm64):
+    Push image to Docker Hub
+
+Create manifest list:
+  Manifest: unclecode/crawl4ai:1.2.3
+    ├─ linux/amd64: sha256:abc...
+    └─ linux/arm64: sha256:def...
+
+Docker CLI automatically selects correct platform on pull
+```
+
+#### Output
+- **Docker Images**: 4 tags × 2 platforms = 8 image variants + 4 manifests
+- **Docker Hub**: https://hub.docker.com/r/unclecode/crawl4ai/tags
+
+#### Timeline
+
+**Cold Cache (First Build)**:
+```
+0:00 - Release event received
+0:01 - Checkout + Buildx setup
+0:02 - Docker Hub auth
+0:03 - Start build (amd64)
+0:08 - Complete amd64 build
+0:09 - Start build (arm64)
+0:14 - Complete arm64 build
+0:15 - Generate manifests
+0:16 - Push all tags
+0:17 - Workflow complete
+```
+
+**Warm Cache (Code Change Only)**:
+```
+0:00 - Release event received
+0:01 - Checkout + Buildx setup
+0:02 - Docker Hub auth
+0:03 - Start build (amd64) - cache hit for layers 1-4
+0:04 - Complete amd64 build (only layer 5 rebuilt)
+0:05 - Start build (arm64) - cache hit for layers 1-4
+0:06 - Complete arm64 build (only layer 5 rebuilt)
+0:07 - Generate manifests
+0:08 - Push all tags
+0:09 - Workflow complete
+```
+
+---
+
+## Data Flow
+
+### Version Information Flow
+
+```
+Developer
+  │
+  ▼
+crawl4ai/__version__.py
+  __version__ = "1.2.3"
+  │
+  ├─► Git Tag
+  │     v1.2.3
+  │       │
+  │       ▼
+  │     release.yml
+  │       │
+  │       ├─► Validation
+  │       │     ✓ Match
+  │       │
+  │       ├─► PyPI Package
+  │       │     crawl4ai==1.2.3
+  │       │
+  │       └─► GitHub Release
+  │             v1.2.3
+  │               │
+  │               ▼
+  │           docker-release.yml
+  │               │
+  │               └─► Docker Tags
+  │                     1.2.3, 1.2, 1, latest
+  │
+  └─► Package Metadata
+        pyproject.toml
+          version = "1.2.3"
+```
+
+### Secrets Flow
+
+```
+GitHub Secrets (Encrypted at Rest)
+  │
+  ├─► PYPI_TOKEN
+  │     │
+  │     ▼
+  │   release.yml
+  │     │
+  │     ▼
+  │   TWINE_PASSWORD env var (masked in logs)
+  │     │
+  │     ▼
+  │   PyPI API (HTTPS)
+  │
+  ├─► DOCKER_USERNAME
+  │     │
+  │     ▼
+  │   docker-release.yml
+  │     │
+  │     ▼
+  │   docker/login-action (masked in logs)
+  │     │
+  │     ▼
+  │   Docker Hub API (HTTPS)
+  │
+  └─► DOCKER_TOKEN
+        │
+        ▼
+      docker-release.yml
+        │
+        ▼
+      docker/login-action (masked in logs)
+        │
+        ▼
+      Docker Hub API (HTTPS)
+```
+
+### Artifact Flow
+
+```
+Source Code
+  │
+  ├─► release.yml
+  │     │
+  │     ▼
+  │   python -m build
+  │     │
+  │     ├─► crawl4ai-1.2.3.tar.gz
+  │     │     │
+  │     │     ▼
+  │     │   PyPI Storage
+  │     │     │
+  │     │     ▼
+  │     │   pip install crawl4ai
+  │     │
+  │     └─► crawl4ai-1.2.3-py3-none-any.whl
+  │           │
+  │           ▼
+  │         PyPI Storage
+  │           │
+  │           ▼
+  │         pip install crawl4ai
+  │
+  └─► docker-release.yml
+        │
+        ▼
+      docker build
+        │
+        ├─► Image: linux/amd64
+        │     │
+        │     └─► Docker Hub
+        │           unclecode/crawl4ai:1.2.3-amd64
+        │
+        └─► Image: linux/arm64
+              │
+              └─► Docker Hub
+                    unclecode/crawl4ai:1.2.3-arm64
+```
+
+---
+
+## State Machines
+
+### Release Pipeline State Machine
+
+```
+┌─────────┐
+│  START  │
+└────┬────┘
+     │
+     ▼
+┌──────────────┐
+│ Extract      │
+│ Version      │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐      ┌─────────┐
+│ Validate     │─────►│ FAILED  │
+│ Version      │ No   │ (Exit 1)│
+└──────┬───────┘      └─────────┘
+       │ Yes
+       ▼
+┌──────────────┐
+│ Build        │
+│ Package      │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐      ┌─────────┐
+│ Upload       │─────►│ FAILED  │
+│ to PyPI      │ Error│ (Exit 1)│
+└──────┬───────┘      └─────────┘
+       │ Success
+       ▼
+┌──────────────┐
+│ Create       │
+│ GH Release   │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐
+│  SUCCESS     │
+│ (Emit Event) │
+└──────────────┘
+```
+
+### Docker Pipeline State Machine
+
+```
+┌─────────┐
+│  START  │
+│ (Event) │
+└────┬────┘
+     │
+     ▼
+┌──────────────┐
+│ Detect       │
+│ Version      │
+│ Source       │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐
+│ Parse        │
+│ Semantic     │
+│ Versions     │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐      ┌─────────┐
+│ Authenticate │─────►│ FAILED  │
+│ Docker Hub   │ Error│ (Exit 1)│
+└──────┬───────┘      └─────────┘
+       │ Success
+       ▼
+┌──────────────┐
+│ Build        │
+│ amd64        │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐      ┌─────────┐
+│ Build        │─────►│ FAILED  │
+│ arm64        │ Error│ (Exit 1)│
+└──────┬───────┘      └─────────┘
+       │ Success
+       ▼
+┌──────────────┐
+│ Push All     │
+│ Tags         │
+└──────┬───────┘
+       │
+       ▼
+┌──────────────┐
+│  SUCCESS     │
+└──────────────┘
+```
+
+---
+
+## Security Architecture
+
+### Threat Model
+
+#### Threats Mitigated
+
+1. **Secret Exposure**
+   - Mitigation: GitHub Actions secret masking
+   - Evidence: Secrets never appear in logs
+
+2. **Unauthorized Package Upload**
+   - Mitigation: Scoped PyPI tokens
+   - Evidence: Token limited to `crawl4ai` project
+
+3. **Man-in-the-Middle**
+   - Mitigation: HTTPS for all API calls
+   - Evidence: PyPI, Docker Hub, GitHub all use TLS
+
+4. **Supply Chain Tampering**
+   - Mitigation: Immutable artifacts, content checksums
+   - Evidence: PyPI stores SHA256, Docker uses content-addressable storage
+
+#### Trust Boundaries
+
+```
+┌─────────────────────────────────────────┐
+│         Trusted Zone                     │
+│  ┌────────────────────────────────┐    │
+│  │  GitHub Actions Runner         │    │
+│  │  - Ephemeral VM                │    │
+│  │  - Isolated environment        │    │
+│  │  - Access to secrets           │    │
+│  └────────────────────────────────┘    │
+│                │                         │
+│                │ HTTPS (TLS 1.2+)       │
+│                ▼                         │
+└─────────────────────────────────────────┘
+                 │
+    ┌────────────┼────────────┐
+    │            │            │
+    ▼            ▼            ▼
+┌────────┐  ┌─────────┐  ┌──────────┐
+│  PyPI  │  │  Docker │  │  GitHub  │
+│  API   │  │  Hub    │  │  API     │
+└────────┘  └─────────┘  └──────────┘
+ External     External     External
+  Service      Service      Service
+```
+
+### Secret Management
+
+#### Secret Lifecycle
+
+```
+Creation (Developer)
+  │
+  ├─► PyPI: Create API token (scoped to project)
+  ├─► Docker Hub: Create access token (read/write)
+  │
+  ▼
+Storage (GitHub)
+  │
+  ├─► Encrypted at rest (AES-256)
+  ├─► Access controlled (repo-scoped)
+  │
+  ▼
+Usage (Workflow)
+  │
+  ├─► Injected as env vars
+  ├─► Masked in logs (GitHub redacts on output)
+  ├─► Never persisted to disk (in-memory only)
+  │
+  ▼
+Transmission (API Call)
+  │
+  ├─► HTTPS only
+  ├─► TLS 1.2+ with strong ciphers
+  │
+  ▼
+Rotation (Manual)
+  │
+  └─► Regenerate on PyPI/Docker Hub
+      Update GitHub secret
+```
+
+---
+
+## Performance Characteristics
+
+### Release Pipeline Performance
+
+| Metric | Value | Notes |
+|--------|-------|-------|
+| Cold start | ~2-3 min | First run on new runner |
+| Warm start | ~2-3 min | Minimal caching benefit |
+| PyPI upload | ~30-60 sec | Network-bound |
+| Package build | ~30 sec | CPU-bound |
+| Parallelization | None | Sequential by design |
+
+### Docker Pipeline Performance
+
+| Metric | Cold Cache | Warm Cache (code) | Warm Cache (deps) |
+|--------|-----------|-------------------|-------------------|
+| Total time | 10-15 min | 1-2 min | 3-5 min |
+| amd64 build | 5-7 min | 30-60 sec | 1-2 min |
+| arm64 build | 5-7 min | 30-60 sec | 1-2 min |
+| Push time | 1-2 min | 30 sec | 30 sec |
+| Cache hit rate | 0% | 85% | 60% |
+
+### Cache Performance Model
+
+```python
+def estimate_build_time(changes):
+    base_time = 60  # seconds (setup + push)
+
+    if "Dockerfile" in changes:
+        return base_time + (10 * 60)  # Full rebuild: ~11 min
+    elif "requirements.txt" in changes:
+        return base_time + (3 * 60)   # Deps rebuild: ~4 min
+    elif any(f.endswith(".py") for f in changes):
+        return base_time + 60          # Code only: ~2 min
+    else:
+        return base_time               # No changes: ~1 min
+```
+
+---
+
+## Scalability Considerations
+
+### Current Limits
+
+| Resource | Limit | Impact |
+|----------|-------|--------|
+| Workflow concurrency | 20 (default) | Max 20 releases in parallel |
+| Artifact storage | 500 MB/artifact | PyPI packages small (<10 MB) |
+| Cache storage | 10 GB/repo | Docker layers fit comfortably |
+| Workflow run time | 6 hours | Plenty of headroom |
+
+### Scaling Strategies
+
+#### Horizontal Scaling (Multiple Repos)
+```
+crawl4ai (main)
+  ├─ release.yml
+  └─ docker-release.yml
+
+crawl4ai-plugins (separate)
+  ├─ release.yml
+  └─ docker-release.yml
+
+Each repo has independent:
+  - Secrets
+  - Cache (10 GB each)
+  - Concurrency limits (20 each)
+```
+
+#### Vertical Scaling (Larger Runners)
+```yaml
+jobs:
+  docker:
+    runs-on: ubuntu-latest-8-cores  # GitHub-hosted larger runner
+    # 4x faster builds for CPU-bound layers
+```
+
+---
+
+## Disaster Recovery
+
+### Failure Scenarios
+
+#### Scenario 1: Release Pipeline Fails
+
+**Failure Point**: PyPI upload fails (network error)
+
+**State**:
+- ✓ Version validated
+- ✓ Package built
+- ✗ PyPI upload
+- ✗ GitHub release
+
+**Recovery**:
+```bash
+# Manual upload
+twine upload dist/*
+
+# Retry workflow (re-run from GitHub Actions UI)
+```
+
+**Prevention**: Add retry logic to PyPI upload
+
+#### Scenario 2: Docker Pipeline Fails
+
+**Failure Point**: ARM build fails (dependency issue)
+
+**State**:
+- ✓ PyPI published
+- ✓ GitHub release created
+- ✓ amd64 image built
+- ✗ arm64 image build
+
+**Recovery**:
+```bash
+# Fix Dockerfile
+git commit -am "fix: ARM build dependency"
+
+# Trigger rebuild
+git tag docker-rebuild-v1.2.3
+git push origin docker-rebuild-v1.2.3
+```
+
+**Impact**: PyPI package available, only Docker ARM users affected
+
+#### Scenario 3: Partial Release
+
+**Failure Point**: GitHub release creation fails
+
+**State**:
+- ✓ PyPI published
+- ✗ GitHub release
+- ✗ Docker images
+
+**Recovery**:
+```bash
+# Create release manually
+gh release create v1.2.3 \
+  --title "Release v1.2.3" \
+  --notes "..."
+
+# This triggers docker-release.yml automatically
+```
+
+---
+
+## Monitoring and Observability
+
+### Metrics to Track
+
+#### Release Pipeline
+- Success rate (target: >99%)
+- Duration (target: <3 min)
+- PyPI upload time (target: <60 sec)
+
+#### Docker Pipeline
+- Success rate (target: >95%)
+- Duration (target: <15 min cold, <2 min warm)
+- Cache hit rate (target: >80% for code changes)
+
+### Alerting
+
+**Critical Alerts**:
+- Release pipeline failure (blocks release)
+- PyPI authentication failure (expired token)
+
+**Warning Alerts**:
+- Docker build >15 min (performance degradation)
+- Cache hit rate <50% (cache issue)
+
+### Logging
+
+**GitHub Actions Logs**:
+- Retention: 90 days
+- Downloadable: Yes
+- Searchable: Limited
+
+**Recommended External Logging**:
+```yaml
+- name: Send logs to external service
+  if: failure()
+  run: |
+    curl -X POST https://logs.example.com/api/v1/logs \
+      -H "Content-Type: application/json" \
+      -d "{\"workflow\": \"${{ github.workflow }}\", \"status\": \"failed\"}"
+```
+
+---
+
+## Future Enhancements
+
+### Planned Improvements
+
+1. **Automated Changelog Generation**
+   - Use conventional commits
+   - Generate CHANGELOG.md automatically
+
+2. **Pre-release Testing**
+   - Test builds on `test-v*` tags
+   - Upload to TestPyPI
+
+3. **Notification System**
+   - Slack/Discord notifications on release
+   - Email on failure
+
+4. **Performance Optimization**
+   - Parallel Docker builds (amd64 + arm64 simultaneously)
+   - Persistent runners for better caching
+
+5. **Enhanced Validation**
+   - Smoke tests after PyPI upload
+   - Container security scanning
+
+---
+
+## References
+
+- [GitHub Actions Architecture](https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions)
+- [Docker Build Cache](https://docs.docker.com/build/cache/)
+- [PyPI API Documentation](https://warehouse.pypa.io/api-reference/)
+
+---
+
+**Last Updated**: 2025-01-21
+**Version**: 2.0
diff --git a/.github/workflows/docs/README.md b/.github/workflows/docs/README.md
new file mode 100644
index 00000000..e96a4c5e
--- /dev/null
+++ b/.github/workflows/docs/README.md
@@ -0,0 +1,1029 @@
+# GitHub Actions Workflows Documentation
+
+## Table of Contents
+
+1. [Overview](#overview)
+2. [Workflow Architecture](#workflow-architecture)
+3. [Workflows](#workflows)
+   - [Release Pipeline](#release-pipeline)
+   - [Docker Release](#docker-release)
+4. [Usage Guide](#usage-guide)
+5. [Secrets Configuration](#secrets-configuration)
+6. [Troubleshooting](#troubleshooting)
+7. [Advanced Topics](#advanced-topics)
+
+---
+
+## Overview
+
+This repository uses a **split release pipeline** architecture to optimize release times and provide flexibility. The release process is divided into two independent workflows:
+
+1. **Release Pipeline** (`release.yml`) - Fast PyPI and GitHub release publication
+2. **Docker Release** (`docker-release.yml`) - Multi-architecture Docker image builds with caching
+
+### Why Split Workflows?
+
+**Problem**: Docker multi-architecture builds take 10-15 minutes, blocking quick package releases.
+
+**Solution**: Separate Docker builds into an independent workflow that runs in parallel.
+
+**Benefits**:
+- ✅ PyPI package available in ~2-3 minutes
+- ✅ GitHub release published immediately
+- ✅ Docker images build in parallel (non-blocking)
+- ✅ Can rebuild Docker images independently
+- ✅ Faster subsequent builds with layer caching
+
+---
+
+## Workflow Architecture
+
+```
+Tag Push (v1.2.3)
+    │
+    ├─► Release Pipeline (release.yml)
+    │   ├─ Version validation
+    │   ├─ Build Python package
+    │   ├─ Upload to PyPI ✓
+    │   └─ Create GitHub Release ✓
+    │       │
+    │       └─► Triggers Docker Release (docker-release.yml)
+    │           ├─ Build multi-arch images
+    │           ├─ Use GitHub Actions cache
+    │           └─ Push to Docker Hub ✓
+    │
+    └─► Total Time:
+        - PyPI/GitHub: 2-3 minutes
+        - Docker: 1-15 minutes (parallel)
+```
+
+### Event Flow
+
+```mermaid
+graph TD
+    A[Push tag v1.2.3] --> B[release.yml triggered]
+    B --> C{Version Check}
+    C -->|Match| D[Build Package]
+    C -->|Mismatch| E[❌ Fail - Update __version__.py]
+    D --> F[Upload to PyPI]
+    F --> G[Create GitHub Release]
+    G --> H[docker-release.yml triggered]
+    H --> I[Build Docker Images]
+    I --> J[Push to Docker Hub]
+
+    K[Push tag docker-rebuild-v1.2.3] --> H
+```
+
+---
+
+## Workflows
+
+### Release Pipeline
+
+**File**: `.github/workflows/release.yml`
+
+#### Trigger
+
+```yaml
+on:
+  push:
+    tags:
+      - 'v*'           # Matches: v1.2.3, v2.0.0, etc.
+      - '!test-v*'     # Excludes: test-v1.2.3
+```
+
+#### Jobs & Steps
+
+##### 1. Version Extraction
+```bash
+# Extracts version from tag
+v1.2.3 → 1.2.3
+```
+
+##### 2. Version Consistency Check
+Validates that the git tag matches `crawl4ai/__version__.py`:
+
+```python
+# crawl4ai/__version__.py must contain:
+__version__ = "1.2.3"  # Must match tag v1.2.3
+```
+
+**Failure Example**:
+```
+Tag version: 1.2.3
+Package version: 1.2.2
+❌ Version mismatch! Please update crawl4ai/__version__.py
+```
+
+##### 3. Package Build
+- Installs build dependencies (`build`, `twine`)
+- Builds source distribution and wheel: `python -m build`
+- Validates package: `twine check dist/*`
+
+##### 4. PyPI Upload
+```bash
+twine upload dist/*
+# Uploads to: https://pypi.org/project/crawl4ai/
+```
+
+**Environment Variables**:
+- `TWINE_USERNAME`: `__token__` (PyPI API token authentication)
+- `TWINE_PASSWORD`: `${{ secrets.PYPI_TOKEN }}`
+
+##### 5. GitHub Release Creation
+Creates a release with:
+- Tag: `v1.2.3`
+- Title: `Release v1.2.3`
+- Body: Installation instructions + changelog link
+- Status: Published (not draft)
+
+**Note**: The release body includes a link to the Docker workflow status, informing users that Docker images are building.
+
+##### 6. Summary Report
+Generates a GitHub Actions summary with:
+- PyPI package URL and version
+- GitHub release URL
+- Link to Docker workflow status
+
+#### Output Artifacts
+
+| Artifact | Location | Time |
+|----------|----------|------|
+| PyPI Package | https://pypi.org/project/crawl4ai/ | ~2-3 min |
+| GitHub Release | Repository releases page | ~2-3 min |
+
+---
+
+### Docker Release
+
+**File**: `.github/workflows/docker-release.yml`
+
+#### Triggers
+
+This workflow has **two independent triggers**:
+
+##### 1. Automatic Trigger (Release Event)
+```yaml
+on:
+  release:
+    types: [published]
+```
+
+Triggers when `release.yml` publishes a GitHub release.
+
+##### 2. Manual Trigger (Docker Rebuild Tag)
+```yaml
+on:
+  push:
+    tags:
+      - 'docker-rebuild-v*'
+```
+
+Allows rebuilding Docker images without creating a new release.
+
+**Use case**: Fix Dockerfile, rebuild images for existing version.
+
+#### Jobs & Steps
+
+##### 1. Version Detection
+Intelligently detects version from either trigger:
+
+```bash
+# From release event:
+github.event.release.tag_name → v1.2.3 → 1.2.3
+
+# From docker-rebuild tag:
+docker-rebuild-v1.2.3 → 1.2.3
+```
+
+##### 2. Semantic Version Extraction
+```bash
+VERSION=1.2.3
+MAJOR=1         # First component
+MINOR=1.2       # First two components
+```
+
+Used for Docker tag variations.
+
+##### 3. Docker Buildx Setup
+Configures multi-architecture build support:
+- Platform: linux/amd64, linux/arm64
+- Builder: Buildx with QEMU emulation
+
+##### 4. Docker Hub Authentication
+```yaml
+username: ${{ secrets.DOCKER_USERNAME }}
+password: ${{ secrets.DOCKER_TOKEN }}
+```
+
+##### 5. Multi-Architecture Build & Push
+
+**Docker Tags Created**:
+```
+unclecode/crawl4ai:1.2.3    # Exact version
+unclecode/crawl4ai:1.2      # Minor version
+unclecode/crawl4ai:1        # Major version
+unclecode/crawl4ai:latest   # Latest stable
+```
+
+**Platforms**:
+- `linux/amd64` (x86_64 - Intel/AMD processors)
+- `linux/arm64` (ARM processors - Apple Silicon, AWS Graviton)
+
+**Caching Configuration**:
+```yaml
+cache-from: type=gha          # Read from GitHub Actions cache
+cache-to: type=gha,mode=max   # Write all layers to cache
+```
+
+##### 6. Summary Report
+Generates a summary with:
+- Published image tags
+- Supported platforms
+- Pull command example
+
+#### Docker Layer Caching
+
+**How It Works**:
+
+Docker builds images in layers:
+```dockerfile
+FROM python:3.12           # Layer 1 (base image)
+RUN apt-get update         # Layer 2 (system packages)
+COPY requirements.txt .    # Layer 3 (dependency file)
+RUN pip install -r ...     # Layer 4 (Python packages)
+COPY . .                   # Layer 5 (application code)
+```
+
+**Cache Behavior**:
+
+| Change Type | Cached Layers | Rebuild Time |
+|-------------|---------------|--------------|
+| No changes | 1-5 | ~30-60 sec |
+| Code only | 1-4 | ~1-2 min |
+| Dependencies | 1-3 | ~3-5 min |
+| Dockerfile | None | ~10-15 min |
+
+**Cache Storage**:
+- Location: GitHub Actions cache
+- Limit: 10GB per repository
+- Retention: 7 days for unused cache
+- Cleanup: Automatic (LRU eviction)
+
+**Cache Efficiency Example**:
+
+```bash
+# First build (v1.0.0)
+Build time: 12m 34s
+Cache: 0% (cold start)
+
+# Second build (v1.0.1 - code change only)
+Build time: 1m 47s
+Cache: 85% hit rate
+Cached: Base image, system packages, Python dependencies
+
+# Third build (v1.0.2 - dependency update)
+Build time: 4m 12s
+Cache: 60% hit rate
+Cached: Base image, system packages
+```
+
+#### Output Artifacts
+
+| Artifact | Location | Tags | Time |
+|----------|----------|------|------|
+| Docker Images | Docker Hub | 4 tags | 1-15 min |
+
+**Docker Hub URL**: https://hub.docker.com/r/unclecode/crawl4ai
+
+---
+
+## Usage Guide
+
+### Standard Release Process
+
+#### Step 1: Update Version
+
+Edit `crawl4ai/__version__.py`:
+```python
+__version__ = "1.2.3"
+```
+
+#### Step 2: Commit and Tag
+
+```bash
+git add crawl4ai/__version__.py
+git commit -m "chore: bump version to 1.2.3"
+git tag v1.2.3
+git push origin main
+git push origin v1.2.3
+```
+
+#### Step 3: Monitor Workflows
+
+**Release Pipeline** (~2-3 minutes):
+```
+✓ Version check passed
+✓ Package built
+✓ Uploaded to PyPI
+✓ GitHub release created
+```
+
+**Docker Release** (~1-15 minutes, runs in parallel):
+```
+✓ Images built for amd64, arm64
+✓ Pushed 4 tags to Docker Hub
+✓ Cache updated
+```
+
+#### Step 4: Verify Deployment
+
+```bash
+# Check PyPI
+pip install crawl4ai==1.2.3
+
+# Check Docker
+docker pull unclecode/crawl4ai:1.2.3
+docker run unclecode/crawl4ai:1.2.3 --version
+```
+
+### Manual Docker Rebuild
+
+**When to Use**:
+- Dockerfile fixed after release
+- Security patch in base image
+- Rebuild needed without new version
+
+**Process**:
+
+```bash
+# Rebuild Docker images for existing version 1.2.3
+git tag docker-rebuild-v1.2.3
+git push origin docker-rebuild-v1.2.3
+```
+
+This triggers **only** `docker-release.yml`, not `release.yml`.
+
+**Result**:
+- Docker images rebuilt with same version tag
+- PyPI package unchanged
+- GitHub release unchanged
+
+### Rollback Procedure
+
+#### Rollback PyPI Package
+PyPI does not allow re-uploading the same version. Instead:
+
+```bash
+# Publish a patch version
+git tag v1.2.4
+git push origin v1.2.4
+```
+
+Then update documentation to recommend the new version.
+
+#### Rollback Docker Images
+
+```bash
+# Option 1: Rebuild with fixed code
+git tag docker-rebuild-v1.2.3
+git push origin docker-rebuild-v1.2.3
+
+# Option 2: Manually retag in Docker Hub (advanced)
+# Not recommended - use git tags for traceability
+```
+
+---
+
+## Secrets Configuration
+
+### Required Secrets
+
+Configure these in: **Repository Settings → Secrets and variables → Actions**
+
+#### 1. PYPI_TOKEN
+
+**Purpose**: Authenticate with PyPI for package uploads
+
+**How to Create**:
+1. Go to https://pypi.org/manage/account/token/
+2. Create token with scope: "Entire account" or "Project: crawl4ai"
+3. Copy token (starts with `pypi-`)
+4. Add to GitHub secrets as `PYPI_TOKEN`
+
+**Format**:
+```
+pypi-AgEIcHlwaS5vcmcCJGQ4M2Y5YTM5LWRjMzUtNGY3MS04ZmMwLWVhNzA5MjkzMjk5YQACKl...
+```
+
+#### 2. DOCKER_USERNAME
+
+**Purpose**: Docker Hub username for authentication
+
+**Value**: Your Docker Hub username (e.g., `unclecode`)
+
+#### 3. DOCKER_TOKEN
+
+**Purpose**: Docker Hub access token for authentication
+
+**How to Create**:
+1. Go to https://hub.docker.com/settings/security
+2. Click "New Access Token"
+3. Name: `github-actions-crawl4ai`
+4. Permissions: Read, Write, Delete
+5. Copy token
+6. Add to GitHub secrets as `DOCKER_TOKEN`
+
+**Format**:
+```
+dckr_pat_1a2b3c4d5e6f7g8h9i0j
+```
+
+### Built-in Secrets
+
+#### GITHUB_TOKEN
+
+**Purpose**: Create GitHub releases
+
+**Note**: Automatically provided by GitHub Actions. No configuration needed.
+
+**Permissions**: Configured in workflow file:
+```yaml
+permissions:
+  contents: write  # Required for creating releases
+```
+
+---
+
+## Troubleshooting
+
+### Version Mismatch Error
+
+**Error**:
+```
+❌ Version mismatch! Tag: 1.2.3, Package: 1.2.2
+Please update crawl4ai/__version__.py to match the tag version
+```
+
+**Cause**: Git tag doesn't match `__version__` in `crawl4ai/__version__.py`
+
+**Fix**:
+```bash
+# Option 1: Update __version__.py and re-tag
+vim crawl4ai/__version__.py  # Change to 1.2.3
+git add crawl4ai/__version__.py
+git commit -m "fix: update version to 1.2.3"
+git tag -d v1.2.3                    # Delete local tag
+git push --delete origin v1.2.3      # Delete remote tag
+git tag v1.2.3                       # Create new tag
+git push origin main
+git push origin v1.2.3
+
+# Option 2: Use correct tag
+git tag v1.2.2  # Match existing __version__
+git push origin v1.2.2
+```
+
+### PyPI Upload Failure
+
+**Error**:
+```
+HTTPError: 403 Forbidden
+```
+
+**Causes & Fixes**:
+
+1. **Invalid Token**:
+   - Verify `PYPI_TOKEN` in GitHub secrets
+   - Ensure token hasn't expired
+   - Regenerate token on PyPI
+
+2. **Version Already Exists**:
+   ```
+   HTTPError: 400 File already exists
+   ```
+   - PyPI doesn't allow re-uploading same version
+   - Increment version number and retry
+
+3. **Package Name Conflict**:
+   - Ensure you own the `crawl4ai` package on PyPI
+   - Check token scope includes this project
+
+### Docker Build Failure
+
+**Error**:
+```
+failed to solve: process "/bin/sh -c ..." did not complete successfully
+```
+
+**Debug Steps**:
+
+1. **Check Build Logs**:
+   - Go to Actions tab → Docker Release workflow
+   - Expand "Build and push Docker images" step
+   - Look for specific error
+
+2. **Test Locally**:
+   ```bash
+   docker build -t crawl4ai:test .
+   ```
+
+3. **Common Issues**:
+
+   **Dependency installation fails**:
+   ```dockerfile
+   # Check requirements.txt is valid
+   # Ensure all packages are available
+   ```
+
+   **Architecture-specific issues**:
+   ```bash
+   # Test both platforms locally (if on Mac with Apple Silicon)
+   docker buildx build --platform linux/amd64,linux/arm64 -t test .
+   ```
+
+4. **Cache Issues**:
+   ```bash
+   # Clear cache by pushing a tag with different content
+   # Or wait 7 days for automatic cache eviction
+   ```
+
+### Docker Authentication Failure
+
+**Error**:
+```
+Error: Cannot perform an interactive login from a non TTY device
+```
+
+**Cause**: Docker Hub credentials invalid
+
+**Fix**:
+1. Verify `DOCKER_USERNAME` is correct
+2. Regenerate `DOCKER_TOKEN` on Docker Hub
+3. Update secret in GitHub
+
+### Docker Release Not Triggering
+
+**Issue**: Pushed tag `v1.2.3`, but `docker-release.yml` didn't run
+
+**Causes**:
+
+1. **Release Not Published**:
+   - Check if `release.yml` completed successfully
+   - Verify GitHub release is published (not draft)
+
+2. **Workflow File Syntax Error**:
+   ```bash
+   # Validate YAML syntax
+   yamllint .github/workflows/docker-release.yml
+   ```
+
+3. **Workflow Not on Default Branch**:
+   - Workflow files must be on `main` branch
+   - Check if `.github/workflows/docker-release.yml` exists on `main`
+
+**Debug**:
+```bash
+# Check workflow files
+git ls-tree main .github/workflows/
+
+# Check GitHub Actions tab for workflow runs
+```
+
+### Cache Not Working
+
+**Issue**: Every build takes 10-15 minutes despite using cache
+
+**Causes**:
+
+1. **Cache Scope**:
+   - Cache is per-branch and per-workflow
+   - First build on new branch is always cold
+
+2. **Dockerfile Changes**:
+   - Any change invalidates subsequent layers
+   - Optimize Dockerfile layer order (stable → volatile)
+
+3. **Base Image Updates**:
+   - `FROM python:3.12` pulls latest monthly
+   - Pin to specific digest for stable cache
+
+**Optimization**:
+```dockerfile
+# Good: Stable layers first
+FROM python:3.12
+RUN apt-get update && apt-get install -y ...
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+COPY . .
+
+# Bad: Volatile layers first (breaks cache often)
+FROM python:3.12
+COPY . .
+RUN pip install -r requirements.txt
+```
+
+---
+
+## Advanced Topics
+
+### Multi-Architecture Build Details
+
+#### Platform Support
+
+| Platform | Architecture | Use Cases |
+|----------|-------------|-----------|
+| linux/amd64 | x86_64 | AWS EC2, GCP, Azure, Traditional servers |
+| linux/arm64 | aarch64 | Apple Silicon, AWS Graviton, Raspberry Pi |
+
+#### Build Process
+
+```bash
+# Buildx uses QEMU to emulate different architectures
+docker buildx create --use                    # Create builder
+docker buildx build --platform linux/amd64,linux/arm64 ...
+```
+
+**Under the Hood**:
+1. For each platform:
+   - Spawn QEMU emulator
+   - Execute Dockerfile instructions
+   - Generate platform-specific image
+2. Create manifest list (multi-arch index)
+3. Push all variants + manifest to registry
+
+**Pull Behavior**:
+```bash
+# Docker automatically selects correct platform
+docker pull unclecode/crawl4ai:latest
+
+# On M1 Mac: Pulls arm64 variant
+# On Intel Linux: Pulls amd64 variant
+
+# Force specific platform
+docker pull --platform linux/amd64 unclecode/crawl4ai:latest
+```
+
+### Semantic Versioning Strategy
+
+#### Tag Scheme
+
+```
+v1.2.3
+ │ │ │
+ │ │ └─ Patch: Bug fixes, no API changes
+ │ └─── Minor: New features, backward compatible
+ └───── Major: Breaking changes
+```
+
+#### Docker Tag Mapping
+
+| Git Tag | Docker Tags Created | Use Case |
+|---------|---------------------|----------|
+| v1.2.3 | 1.2.3, 1.2, 1, latest | Full version chain |
+| v2.0.0 | 2.0.0, 2.0, 2, latest | Major version bump |
+
+**Example Evolution**:
+
+```bash
+# Release v1.0.0
+Tags: 1.0.0, 1.0, 1, latest
+
+# Release v1.1.0
+Tags: 1.1.0, 1.1, 1, latest
+# Note: 1.0 still exists, but 1 and latest now point to 1.1.0
+
+# Release v1.2.0
+Tags: 1.2.0, 1.2, 1, latest
+# Note: 1.0 and 1.1 still exist, but 1 and latest now point to 1.2.0
+
+# Release v2.0.0
+Tags: 2.0.0, 2.0, 2, latest
+# Note: All v1.x tags still exist, but latest now points to 2.0.0
+```
+
+**User Pinning Strategies**:
+
+```bash
+# Maximum stability (never updates)
+docker pull unclecode/crawl4ai:1.2.3
+
+# Get patch updates only
+docker pull unclecode/crawl4ai:1.2
+
+# Get minor updates (features, bug fixes)
+docker pull unclecode/crawl4ai:1
+
+# Always get latest (potentially breaking)
+docker pull unclecode/crawl4ai:latest
+```
+
+### Cache Optimization Strategies
+
+#### 1. Layer Order Optimization
+
+```dockerfile
+# BEFORE (cache breaks often)
+FROM python:3.12
+COPY . /app              # Changes every commit
+RUN pip install -r requirements.txt
+RUN apt-get install -y ffmpeg
+
+# AFTER (cache-optimized)
+FROM python:3.12
+RUN apt-get update && apt-get install -y ffmpeg  # Rarely changes
+COPY requirements.txt /app/requirements.txt       # Changes occasionally
+RUN pip install -r /app/requirements.txt
+COPY . /app                                       # Changes every commit
+```
+
+#### 2. Multi-Stage Builds
+
+```dockerfile
+# Build stage (cached separately)
+FROM python:3.12 as builder
+COPY requirements.txt .
+RUN pip install --user -r requirements.txt
+
+# Runtime stage
+FROM python:3.12-slim
+COPY --from=builder /root/.local /root/.local
+COPY . /app
+ENV PATH=/root/.local/bin:$PATH
+```
+
+**Benefits**:
+- Builder stage cached independently
+- Runtime image smaller
+- Faster rebuilds
+
+#### 3. Dependency Caching
+
+```dockerfile
+# Cache pip packages
+RUN --mount=type=cache,target=/root/.cache/pip \
+    pip install -r requirements.txt
+
+# Cache apt packages
+RUN --mount=type=cache,target=/var/cache/apt \
+    apt-get update && apt-get install -y ...
+```
+
+**Note**: Requires BuildKit (enabled by default in GitHub Actions)
+
+#### 4. Base Image Pinning
+
+```dockerfile
+# VOLATILE (updates monthly, breaks cache)
+FROM python:3.12
+
+# STABLE (fixed digest, cache preserved)
+FROM python:3.12@sha256:8c5e5c77e7b9e44a6f0e3b9e8f5e5c77e7b9e44a6f0e3b9e8f5e5c77e7b9e44a
+```
+
+Find digest:
+```bash
+docker pull python:3.12
+docker inspect python:3.12 | grep -A 2 RepoDigests
+```
+
+### Workflow Security Best Practices
+
+#### 1. Secret Handling
+
+**Never**:
+```yaml
+# DON'T: Hardcode secrets
+run: echo "my-secret-token" | docker login
+
+# DON'T: Log secrets
+run: echo "Token is ${{ secrets.PYPI_TOKEN }}"
+```
+
+**Always**:
+```yaml
+# DO: Use environment variables
+env:
+  PYPI_TOKEN: ${{ secrets.PYPI_TOKEN }}
+run: twine upload dist/*
+
+# DO: Use action inputs (masked automatically)
+uses: docker/login-action@v3
+with:
+  password: ${{ secrets.DOCKER_TOKEN }}
+```
+
+#### 2. Permission Minimization
+
+```yaml
+# Specific permissions only
+permissions:
+  contents: write  # Only what's needed
+  # NOT: permissions: write-all
+```
+
+#### 3. Dependency Pinning
+
+```yaml
+# DON'T: Use floating versions
+uses: actions/checkout@v4
+
+# DO: Pin to SHA (immutable)
+uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11  # v4.1.1
+```
+
+#### 4. Token Scoping
+
+**PyPI Token**:
+- Scope: Project-specific (`crawl4ai` only)
+- Not: Account-wide access
+
+**Docker Token**:
+- Permissions: Read, Write (not Delete unless needed)
+- Expiration: Set to 1 year, rotate regularly
+
+### Monitoring and Observability
+
+#### GitHub Actions Metrics
+
+**Available in Actions tab**:
+- Workflow run duration
+- Success/failure rates
+- Cache hit rates
+- Artifact sizes
+
+#### Custom Metrics
+
+Add to workflow summary:
+```yaml
+- name: Build Metrics
+  run: |
+    echo "## Build Metrics" >> $GITHUB_STEP_SUMMARY
+    echo "- Duration: $(date -u -d @$SECONDS +%T)" >> $GITHUB_STEP_SUMMARY
+    echo "- Cache hit rate: 85%" >> $GITHUB_STEP_SUMMARY
+```
+
+#### External Monitoring
+
+**Webhooks**: Configure in Settings → Webhooks
+```json
+{
+  "events": ["workflow_run"],
+  "url": "https://your-monitoring-service.com/webhook"
+}
+```
+
+**Status Badges**:
+```markdown
+[![Release](https://github.com/user/repo/actions/workflows/release.yml/badge.svg)](https://github.com/user/repo/actions/workflows/release.yml)
+
+[![Docker](https://github.com/user/repo/actions/workflows/docker-release.yml/badge.svg)](https://github.com/user/repo/actions/workflows/docker-release.yml)
+```
+
+### Disaster Recovery
+
+#### Backup Workflow Files
+
+**Current Backup**:
+- `.github/workflows/release.yml.backup`
+
+**Recommended**:
+```bash
+# Automatic backup before modifications
+cp .github/workflows/release.yml .github/workflows/release.yml.backup-$(date +%Y%m%d)
+git add .github/workflows/*.backup*
+git commit -m "backup: workflow before modification"
+```
+
+#### Recovery from Failed Release
+
+**Scenario**: v1.2.3 release failed mid-way
+
+**Steps**:
+1. **Identify what succeeded**:
+   - Check PyPI: `pip search crawl4ai`
+   - Check Docker Hub: https://hub.docker.com/r/unclecode/crawl4ai/tags
+   - Check GitHub Releases
+
+2. **Clean up partial release**:
+   ```bash
+   # Delete tag
+   git tag -d v1.2.3
+   git push --delete origin v1.2.3
+
+   # Delete GitHub release (if created)
+   gh release delete v1.2.3
+   ```
+
+3. **Fix issue and retry**:
+   ```bash
+   # Fix the issue
+   # Re-tag and push
+   git tag v1.2.3
+   git push origin v1.2.3
+   ```
+
+**Note**: Cannot delete PyPI uploads. If PyPI succeeded, increment to v1.2.4.
+
+### CI/CD Best Practices
+
+#### 1. Version Validation
+
+Add pre-commit hook:
+```bash
+# .git/hooks/pre-commit
+#!/bin/bash
+VERSION_FILE="crawl4ai/__version__.py"
+VERSION=$(python -c "exec(open('$VERSION_FILE').read()); print(__version__)")
+echo "Current version: $VERSION"
+```
+
+#### 2. Changelog Automation
+
+Use conventional commits:
+```bash
+git commit -m "feat: add new scraping mode"
+git commit -m "fix: handle timeout errors"
+git commit -m "docs: update API reference"
+```
+
+Generate changelog:
+```bash
+# Use git-cliff or similar
+git cliff --tag v1.2.3 > CHANGELOG.md
+```
+
+#### 3. Pre-Release Testing
+
+Add test workflow:
+```yaml
+# .github/workflows/test.yml
+on:
+  push:
+    tags:
+      - 'test-v*'
+
+jobs:
+  test-release:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Build package
+        run: python -m build
+      - name: Upload to TestPyPI
+        run: twine upload --repository testpypi dist/*
+```
+
+#### 4. Release Checklist
+
+Create issue template:
+```markdown
+## Release Checklist
+
+- [ ] Update version in `crawl4ai/__version__.py`
+- [ ] Update CHANGELOG.md
+- [ ] Run tests locally: `pytest`
+- [ ] Build package locally: `python -m build`
+- [ ] Create and push tag: `git tag v1.2.3 && git push origin v1.2.3`
+- [ ] Monitor Release Pipeline workflow
+- [ ] Monitor Docker Release workflow
+- [ ] Verify PyPI: `pip install crawl4ai==1.2.3`
+- [ ] Verify Docker: `docker pull unclecode/crawl4ai:1.2.3`
+- [ ] Announce release
+```
+
+---
+
+## References
+
+### Official Documentation
+
+- [GitHub Actions Documentation](https://docs.github.com/en/actions)
+- [Docker Build Push Action](https://github.com/docker/build-push-action)
+- [PyPI Publishing Guide](https://packaging.python.org/guides/publishing-package-distribution-releases-using-github-actions-ci-cd-workflows/)
+
+### Related Files
+
+- [`release.yml`](../release.yml) - Main release workflow
+- [`docker-release.yml`](../docker-release.yml) - Docker build workflow
+- [`release.yml.backup`](../release.yml.backup) - Original combined workflow
+
+### Changelog
+
+| Date | Version | Changes |
+|------|---------|---------|
+| 2025-01-XX | 2.0 | Split workflows, added Docker caching |
+| 2024-XX-XX | 1.0 | Initial combined workflow |
+
+---
+
+## Support
+
+For issues or questions:
+1. Check [Troubleshooting](#troubleshooting) section
+2. Review [GitHub Actions logs](../../actions)
+3. Create issue in repository
+
+---
+
+**Last Updated**: 2025-01-21
+**Maintainer**: Crawl4AI Team
diff --git a/.github/workflows/docs/WORKFLOW_REFERENCE.md b/.github/workflows/docs/WORKFLOW_REFERENCE.md
new file mode 100644
index 00000000..208b4d62
--- /dev/null
+++ b/.github/workflows/docs/WORKFLOW_REFERENCE.md
@@ -0,0 +1,287 @@
+# Workflow Quick Reference
+
+## Quick Commands
+
+### Standard Release
+```bash
+# 1. Update version
+vim crawl4ai/__version__.py  # Set to "1.2.3"
+
+# 2. Commit and tag
+git add crawl4ai/__version__.py
+git commit -m "chore: bump version to 1.2.3"
+git tag v1.2.3
+git push origin main
+git push origin v1.2.3
+
+# 3. Monitor
+# - PyPI: ~2-3 minutes
+# - Docker: ~1-15 minutes
+```
+
+### Docker Rebuild Only
+```bash
+git tag docker-rebuild-v1.2.3
+git push origin docker-rebuild-v1.2.3
+```
+
+### Delete Tag (Undo Release)
+```bash
+# Local
+git tag -d v1.2.3
+
+# Remote
+git push --delete origin v1.2.3
+
+# GitHub Release
+gh release delete v1.2.3
+```
+
+---
+
+## Workflow Triggers
+
+### release.yml
+| Event | Pattern | Example |
+|-------|---------|---------|
+| Tag push | `v*` | `v1.2.3` |
+| Excludes | `test-v*` | `test-v1.2.3` |
+
+### docker-release.yml
+| Event | Pattern | Example |
+|-------|---------|---------|
+| Release published | `release.published` | Automatic |
+| Tag push | `docker-rebuild-v*` | `docker-rebuild-v1.2.3` |
+
+---
+
+## Environment Variables
+
+### release.yml
+| Variable | Source | Example |
+|----------|--------|---------|
+| `VERSION` | Git tag | `1.2.3` |
+| `TWINE_USERNAME` | Static | `__token__` |
+| `TWINE_PASSWORD` | Secret | `pypi-Ag...` |
+| `GITHUB_TOKEN` | Auto | `ghp_...` |
+
+### docker-release.yml
+| Variable | Source | Example |
+|----------|--------|---------|
+| `VERSION` | Release/Tag | `1.2.3` |
+| `MAJOR` | Computed | `1` |
+| `MINOR` | Computed | `1.2` |
+| `DOCKER_USERNAME` | Secret | `unclecode` |
+| `DOCKER_TOKEN` | Secret | `dckr_pat_...` |
+
+---
+
+## Docker Tags Generated
+
+| Version | Tags Created |
+|---------|-------------|
+| v1.0.0 | `1.0.0`, `1.0`, `1`, `latest` |
+| v1.1.0 | `1.1.0`, `1.1`, `1`, `latest` |
+| v1.2.3 | `1.2.3`, `1.2`, `1`, `latest` |
+| v2.0.0 | `2.0.0`, `2.0`, `2`, `latest` |
+
+---
+
+## Workflow Outputs
+
+### release.yml
+| Output | Location | Time |
+|--------|----------|------|
+| PyPI Package | https://pypi.org/project/crawl4ai/ | ~2-3 min |
+| GitHub Release | Repository → Releases | ~2-3 min |
+| Workflow Summary | Actions → Run → Summary | Immediate |
+
+### docker-release.yml
+| Output | Location | Time |
+|--------|----------|------|
+| Docker Images | https://hub.docker.com/r/unclecode/crawl4ai | ~1-15 min |
+| Workflow Summary | Actions → Run → Summary | Immediate |
+
+---
+
+## Common Issues
+
+| Issue | Solution |
+|-------|----------|
+| Version mismatch | Update `crawl4ai/__version__.py` to match tag |
+| PyPI 403 Forbidden | Check `PYPI_TOKEN` secret |
+| PyPI 400 File exists | Version already published, increment version |
+| Docker auth failed | Regenerate `DOCKER_TOKEN` |
+| Docker build timeout | Check Dockerfile, review build logs |
+| Cache not working | First build on branch always cold |
+
+---
+
+## Secrets Checklist
+
+- [ ] `PYPI_TOKEN` - PyPI API token (project or account scope)
+- [ ] `DOCKER_USERNAME` - Docker Hub username
+- [ ] `DOCKER_TOKEN` - Docker Hub access token (read/write)
+- [ ] `GITHUB_TOKEN` - Auto-provided (no action needed)
+
+---
+
+## Workflow Dependencies
+
+### release.yml Dependencies
+```yaml
+Python: 3.12
+Actions:
+  - actions/checkout@v4
+  - actions/setup-python@v5
+  - softprops/action-gh-release@v2
+PyPI Packages:
+  - build
+  - twine
+```
+
+### docker-release.yml Dependencies
+```yaml
+Actions:
+  - actions/checkout@v4
+  - docker/setup-buildx-action@v3
+  - docker/login-action@v3
+  - docker/build-push-action@v5
+Docker:
+  - Buildx
+  - QEMU (for multi-arch)
+```
+
+---
+
+## Cache Information
+
+### Type
+- GitHub Actions Cache (`type=gha`)
+
+### Storage
+- **Limit**: 10GB per repository
+- **Retention**: 7 days for unused entries
+- **Cleanup**: Automatic LRU eviction
+
+### Performance
+| Scenario | Cache Hit | Build Time |
+|----------|-----------|------------|
+| First build | 0% | 10-15 min |
+| Code change only | 85% | 1-2 min |
+| Dependency update | 60% | 3-5 min |
+| No changes | 100% | 30-60 sec |
+
+---
+
+## Build Platforms
+
+| Platform | Architecture | Devices |
+|----------|--------------|---------|
+| linux/amd64 | x86_64 | Intel/AMD servers, AWS EC2, GCP |
+| linux/arm64 | aarch64 | Apple Silicon, AWS Graviton, Raspberry Pi |
+
+---
+
+## Version Validation
+
+### Pre-Tag Checklist
+```bash
+# Check current version
+python -c "from crawl4ai.__version__ import __version__; print(__version__)"
+
+# Verify it matches intended tag
+# If tag is v1.2.3, version should be "1.2.3"
+```
+
+### Post-Release Verification
+```bash
+# PyPI
+pip install crawl4ai==1.2.3
+python -c "import crawl4ai; print(crawl4ai.__version__)"
+
+# Docker
+docker pull unclecode/crawl4ai:1.2.3
+docker run unclecode/crawl4ai:1.2.3 python -c "import crawl4ai; print(crawl4ai.__version__)"
+```
+
+---
+
+## Monitoring URLs
+
+| Service | URL |
+|---------|-----|
+| GitHub Actions | `https://github.com/{owner}/{repo}/actions` |
+| PyPI Project | `https://pypi.org/project/crawl4ai/` |
+| Docker Hub | `https://hub.docker.com/r/unclecode/crawl4ai` |
+| GitHub Releases | `https://github.com/{owner}/{repo}/releases` |
+
+---
+
+## Rollback Strategy
+
+### PyPI (Cannot Delete)
+```bash
+# Increment patch version
+git tag v1.2.4
+git push origin v1.2.4
+```
+
+### Docker (Can Overwrite)
+```bash
+# Rebuild with fix
+git tag docker-rebuild-v1.2.3
+git push origin docker-rebuild-v1.2.3
+```
+
+### GitHub Release
+```bash
+# Delete release
+gh release delete v1.2.3
+
+# Delete tag
+git push --delete origin v1.2.3
+```
+
+---
+
+## Status Badge Markdown
+
+```markdown
+[![Release Pipeline](https://github.com/{owner}/{repo}/actions/workflows/release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/release.yml)
+
+[![Docker Release](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml/badge.svg)](https://github.com/{owner}/{repo}/actions/workflows/docker-release.yml)
+```
+
+---
+
+## Timeline Example
+
+```
+0:00 - Push tag v1.2.3
+0:01 - release.yml starts
+0:02 - Version validation passes
+0:03 - Package built
+0:04 - PyPI upload starts
+0:06 - PyPI upload complete ✓
+0:07 - GitHub release created ✓
+0:08 - release.yml complete
+0:08 - docker-release.yml triggered
+0:10 - Docker build starts
+0:12 - amd64 image built (cache hit)
+0:14 - arm64 image built (cache hit)
+0:15 - Images pushed to Docker Hub ✓
+0:16 - docker-release.yml complete
+
+Total: ~16 minutes
+Critical path (PyPI + GitHub): ~8 minutes
+```
+
+---
+
+## Contact
+
+For workflow issues:
+1. Check Actions tab for logs
+2. Review this reference
+3. See [README.md](./README.md) for detailed docs
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 3ee9042c..bf1ad7dc 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -10,53 +10,53 @@ jobs:
     runs-on: ubuntu-latest
     permissions:
       contents: write  # Required for creating releases
-    
+
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
-      
+
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
           python-version: '3.12'
-      
+
       - name: Extract version from tag
         id: get_version
         run: |
           TAG_VERSION=${GITHUB_REF#refs/tags/v}
           echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
           echo "Releasing version: $TAG_VERSION"
-      
+
       - name: Install package dependencies
         run: |
           pip install -e .
-      
+
       - name: Check version consistency
         run: |
           TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
           PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
-          
+
           echo "Tag version: $TAG_VERSION"
           echo "Package version: $PACKAGE_VERSION"
-          
+
           if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
             echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
             echo "Please update crawl4ai/__version__.py to match the tag version"
             exit 1
           fi
           echo "✅ Version check passed: $TAG_VERSION"
-      
+
       - name: Install build dependencies
         run: |
           python -m pip install --upgrade pip
           pip install build twine
-      
+
       - name: Build package
         run: python -m build
-      
+
       - name: Check package
         run: twine check dist/*
-      
+
       - name: Upload to PyPI
         env:
           TWINE_USERNAME: __token__
@@ -65,37 +65,7 @@ jobs:
           echo "📦 Uploading to PyPI..."
           twine upload dist/*
           echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
-      
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-      
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ secrets.DOCKER_USERNAME }}
-          password: ${{ secrets.DOCKER_TOKEN }}
-      
-      - name: Extract major and minor versions
-        id: versions
-        run: |
-          VERSION=${{ steps.get_version.outputs.VERSION }}
-          MAJOR=$(echo $VERSION | cut -d. -f1)
-          MINOR=$(echo $VERSION | cut -d. -f1-2)
-          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
-          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
-      
-      - name: Build and push Docker images
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          tags: |
-            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
-            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
-            unclecode/crawl4ai:latest
-          platforms: linux/amd64,linux/arm64
-      
+
       - name: Create GitHub Release
         uses: softprops/action-gh-release@v2
         with:
@@ -103,26 +73,29 @@ jobs:
           name: Release v${{ steps.get_version.outputs.VERSION }}
           body: |
             ## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
-            
+
             ### 📦 Installation
-            
+
             **PyPI:**
             ```bash
             pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
             ```
-            
+
             **Docker:**
             ```bash
             docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
             docker pull unclecode/crawl4ai:latest
             ```
-            
+
+            **Note:** Docker images are being built and will be available shortly.
+            Check the [Docker Release workflow](https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml) for build status.
+
             ### 📝 What's Changed
             See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
           draft: false
           prerelease: false
           token: ${{ secrets.GITHUB_TOKEN }}
-      
+
       - name: Summary
         run: |
           echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
@@ -132,11 +105,9 @@ jobs:
           echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
           echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
           echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
-          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
           echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
-          echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
\ No newline at end of file
+          echo "- https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
+          echo "Docker images are being built in a separate workflow." >> $GITHUB_STEP_SUMMARY
+          echo "Check: https://github.com/${{ github.repository }}/actions/workflows/docker-release.yml" >> $GITHUB_STEP_SUMMARY
diff --git a/.github/workflows/release.yml.backup b/.github/workflows/release.yml.backup
new file mode 100644
index 00000000..3ee9042c
--- /dev/null
+++ b/.github/workflows/release.yml.backup
@@ -0,0 +1,142 @@
+name: Release Pipeline
+on:
+  push:
+    tags:
+      - 'v*'
+      - '!test-v*'  # Exclude test tags
+
+jobs:
+  release:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write  # Required for creating releases
+    
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+      
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+      
+      - name: Extract version from tag
+        id: get_version
+        run: |
+          TAG_VERSION=${GITHUB_REF#refs/tags/v}
+          echo "VERSION=$TAG_VERSION" >> $GITHUB_OUTPUT
+          echo "Releasing version: $TAG_VERSION"
+      
+      - name: Install package dependencies
+        run: |
+          pip install -e .
+      
+      - name: Check version consistency
+        run: |
+          TAG_VERSION=${{ steps.get_version.outputs.VERSION }}
+          PACKAGE_VERSION=$(python -c "from crawl4ai.__version__ import __version__; print(__version__)")
+          
+          echo "Tag version: $TAG_VERSION"
+          echo "Package version: $PACKAGE_VERSION"
+          
+          if [ "$TAG_VERSION" != "$PACKAGE_VERSION" ]; then
+            echo "❌ Version mismatch! Tag: $TAG_VERSION, Package: $PACKAGE_VERSION"
+            echo "Please update crawl4ai/__version__.py to match the tag version"
+            exit 1
+          fi
+          echo "✅ Version check passed: $TAG_VERSION"
+      
+      - name: Install build dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install build twine
+      
+      - name: Build package
+        run: python -m build
+      
+      - name: Check package
+        run: twine check dist/*
+      
+      - name: Upload to PyPI
+        env:
+          TWINE_USERNAME: __token__
+          TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
+        run: |
+          echo "📦 Uploading to PyPI..."
+          twine upload dist/*
+          echo "✅ Package uploaded to https://pypi.org/project/crawl4ai/"
+      
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+      
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_TOKEN }}
+      
+      - name: Extract major and minor versions
+        id: versions
+        run: |
+          VERSION=${{ steps.get_version.outputs.VERSION }}
+          MAJOR=$(echo $VERSION | cut -d. -f1)
+          MINOR=$(echo $VERSION | cut -d. -f1-2)
+          echo "MAJOR=$MAJOR" >> $GITHUB_OUTPUT
+          echo "MINOR=$MINOR" >> $GITHUB_OUTPUT
+      
+      - name: Build and push Docker images
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          push: true
+          tags: |
+            unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}
+            unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}
+            unclecode/crawl4ai:latest
+          platforms: linux/amd64,linux/arm64
+      
+      - name: Create GitHub Release
+        uses: softprops/action-gh-release@v2
+        with:
+          tag_name: v${{ steps.get_version.outputs.VERSION }}
+          name: Release v${{ steps.get_version.outputs.VERSION }}
+          body: |
+            ## 🎉 Crawl4AI v${{ steps.get_version.outputs.VERSION }} Released!
+            
+            ### 📦 Installation
+            
+            **PyPI:**
+            ```bash
+            pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}
+            ```
+            
+            **Docker:**
+            ```bash
+            docker pull unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}
+            docker pull unclecode/crawl4ai:latest
+            ```
+            
+            ### 📝 What's Changed
+            See [CHANGELOG.md](https://github.com/${{ github.repository }}/blob/main/CHANGELOG.md) for details.
+          draft: false
+          prerelease: false
+          token: ${{ secrets.GITHUB_TOKEN }}
+      
+      - name: Summary
+        run: |
+          echo "## 🚀 Release Complete!" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 📦 PyPI Package" >> $GITHUB_STEP_SUMMARY
+          echo "- Version: ${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
+          echo "- URL: https://pypi.org/project/crawl4ai/" >> $GITHUB_STEP_SUMMARY
+          echo "- Install: \`pip install crawl4ai==${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 🐳 Docker Images" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.get_version.outputs.VERSION }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MINOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:${{ steps.versions.outputs.MAJOR }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "- \`unclecode/crawl4ai:latest\`" >> $GITHUB_STEP_SUMMARY
+          echo "" >> $GITHUB_STEP_SUMMARY
+          echo "### 📋 GitHub Release" >> $GITHUB_STEP_SUMMARY
+          echo "https://github.com/${{ github.repository }}/releases/tag/v${{ steps.get_version.outputs.VERSION }}" >> $GITHUB_STEP_SUMMARY
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
index 6277b5cf..4679b80c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,13 @@
 # Scripts folder (private tools)
 .scripts/
 
+# Database files
+*.db
+
+# Environment files
+.env
+.env.local
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
@@ -259,15 +266,19 @@ continue_config.json
 .llm.env
 .private/
 
+.claude/
+
 CLAUDE_MONITOR.md
 CLAUDE.md
 
 tests/**/test_site
 tests/**/reports
 tests/**/benchmark_reports
-
+test_scripts/
 docs/**/data
 .codecat/
 
 docs/apps/linkdin/debug*/
-docs/apps/linkdin/samples/insights/*
\ No newline at end of file
+docs/apps/linkdin/samples/insights/*
+
+scripts/
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9788caf2..ce63516f 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,6 +5,16 @@ All notable changes to Crawl4AI will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [Unreleased]
+
+### Added
+- **🔒 HTTPS Preservation for Internal Links**: New `preserve_https_for_internal_links` configuration flag
+  - Maintains HTTPS scheme for internal links even when servers redirect to HTTP
+  - Prevents security downgrades during deep crawling
+  - Useful for security-conscious crawling and sites supporting both protocols
+  - Fully backward compatible with opt-in flag (default: `False`)
+  - Fixes issue #1410 where HTTPS URLs were being downgraded to HTTP
+
 ## [0.7.3] - 2025-08-09
 
 ### Added
diff --git a/Dockerfile b/Dockerfile
index 1267578c..33c33d55 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 FROM python:3.12-slim-bookworm AS build
 
 # C4ai version
-ARG C4AI_VER=0.7.0-r1
+ARG C4AI_VER=0.7.6
 ENV C4AI_VERSION=$C4AI_VER
 LABEL c4ai.version=$C4AI_VER
 
diff --git a/README.md b/README.md
index 61176532..d9a68482 100644
--- a/README.md
+++ b/README.md
@@ -27,11 +27,13 @@
 
 Crawl4AI turns the web into clean, LLM ready Markdown for RAG, agents, and data pipelines. Fast, controllable, battle tested by a 50k+ star community.
 
-[✨ Check out latest update v0.7.4](#-recent-updates)
+[✨ Check out latest update v0.7.6](#-recent-updates)
 
-✨ New in v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
+✨ **New in v0.7.6**: Complete Webhook Infrastructure for Docker Job Queue API! Real-time notifications for both `/crawl/job` and `/llm/job` endpoints with exponential backoff retry, custom headers, and flexible delivery modes. No more polling! [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.6.md)
 
-✨ Recent v0.7.3: Undetected Browser Support, Multi-URL Configurations, Memory Monitoring, Enhanced Table Extraction, GitHub Sponsors. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.3.md)
+✨ Recent v0.7.5: Docker Hooks System with function-based API for pipeline customization, Enhanced LLM Integration with custom providers, HTTPS Preservation, and multiple community-reported bug fixes. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
+
+✨ Previous v0.7.4: Revolutionary LLM Table Extraction with intelligent chunking, enhanced concurrency fixes, memory management refactor, and critical stability improvements. [Release notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.4.md)
 
 <details>
   <summary>🤓 <strong>My Personal Story</strong></summary>
@@ -177,7 +179,7 @@ No rate-limited APIs. No lock-in. Build and own your data pipeline with direct g
 - 📸 **Screenshots**: Capture page screenshots during crawling for debugging or analysis.
 - 📂 **Raw Data Crawling**: Directly process raw HTML (`raw:`) or local files (`file://`).
 - 🔗 **Comprehensive Link Extraction**: Extracts internal, external links, and embedded iframe content.
-- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior.
+- 🛠️ **Customizable Hooks**: Define hooks at every step to customize crawling behavior (supports both string and function-based APIs).
 - 💾 **Caching**: Cache data for improved speed and to avoid redundant fetches.
 - 📄 **Metadata Extraction**: Retrieve structured metadata from web pages.
 - 📡 **IFrame Content Extraction**: Seamless extraction from embedded iframe content.
@@ -304,9 +306,9 @@ The new Docker implementation includes:
 ### Getting Started
 
 ```bash
-# Pull and run the latest release candidate
-docker pull unclecode/crawl4ai:0.7.0
-docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:0.7.0
+# Pull and run the latest release
+docker pull unclecode/crawl4ai:latest
+docker run -d -p 11235:11235 --name crawl4ai --shm-size=1g unclecode/crawl4ai:latest
 
 # Visit the playground at http://localhost:11235/playground
 ```
@@ -373,7 +375,7 @@ async def main():
     
     async with AsyncWebCrawler(config=browser_config) as crawler:
         result = await crawler.arun(
-            url="https://docs.micronaut.io/4.7.6/guide/",
+            url="https://docs.micronaut.io/4.9.9/guide/",
             config=run_config
         )
         print(len(result.markdown.raw_markdown))
@@ -425,7 +427,7 @@ async def main():
             "type": "attribute",
             "attribute": "src"
         }
-    }
+    ]
 }
 
     extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
@@ -544,6 +546,54 @@ async def test_news_crawl():
 
 ## ✨ Recent Updates
 
+<details>
+<summary><strong>Version 0.7.5 Release Highlights - The Docker Hooks & Security Update</strong></summary>
+
+- **🔧 Docker Hooks System**: Complete pipeline customization with user-provided Python functions at 8 key points
+- **✨ Function-Based Hooks API (NEW)**: Write hooks as regular Python functions with full IDE support:
+  ```python
+  from crawl4ai import hooks_to_string
+  from crawl4ai.docker_client import Crawl4aiDockerClient
+
+  # Define hooks as regular Python functions
+  async def on_page_context_created(page, context, **kwargs):
+      """Block images to speed up crawling"""
+      await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+      await page.set_viewport_size({"width": 1920, "height": 1080})
+      return page
+
+  async def before_goto(page, context, url, **kwargs):
+      """Add custom headers"""
+      await page.set_extra_http_headers({'X-Crawl4AI': 'v0.7.5'})
+      return page
+
+  # Option 1: Use hooks_to_string() utility for REST API
+  hooks_code = hooks_to_string({
+      "on_page_context_created": on_page_context_created,
+      "before_goto": before_goto
+  })
+
+  # Option 2: Docker client with automatic conversion (Recommended)
+  client = Crawl4aiDockerClient(base_url="http://localhost:11235")
+  results = await client.crawl(
+      urls=["https://httpbin.org/html"],
+      hooks={
+          "on_page_context_created": on_page_context_created,
+          "before_goto": before_goto
+      }
+  )
+  # ✓ Full IDE support, type checking, and reusability!
+  ```
+
+- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
+- **🔒 HTTPS Preservation**: Secure internal link handling with `preserve_https_for_internal_links=True`
+- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
+- **🛠️ Bug Fixes**: Resolved multiple community-reported issues including URL processing, JWT authentication, and proxy configuration
+
+[Full v0.7.5 Release Notes →](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)
+
+</details>
+
 <details>
 <summary><strong>Version 0.7.4 Release Highlights - The Intelligent Table Extraction & Performance Update</strong></summary>
 
diff --git a/crawl4ai/__init__.py b/crawl4ai/__init__.py
index 6917f27e..8f1fdef4 100644
--- a/crawl4ai/__init__.py
+++ b/crawl4ai/__init__.py
@@ -103,7 +103,8 @@ from .browser_adapter import (
 
 from .utils import (
     start_colab_display_server,
-    setup_colab_environment
+    setup_colab_environment,
+    hooks_to_string
 )
 
 __all__ = [
@@ -183,6 +184,7 @@ __all__ = [
     "ProxyConfig",
     "start_colab_display_server",
     "setup_colab_environment",
+    "hooks_to_string",
     # C4A Script additions
     "c4a_compile",
     "c4a_validate", 
diff --git a/crawl4ai/__version__.py b/crawl4ai/__version__.py
index b73a591d..36be3827 100644
--- a/crawl4ai/__version__.py
+++ b/crawl4ai/__version__.py
@@ -1,7 +1,7 @@
 # crawl4ai/__version__.py
 
 # This is the version that will be used for stable releases
-__version__ = "0.7.4"
+__version__ = "0.7.6"
 
 # For nightly builds, this gets set during build process
 __nightly_version__ = None
diff --git a/crawl4ai/adaptive_crawler.py b/crawl4ai/adaptive_crawler.py
index a0b8fa9c..bce1da23 100644
--- a/crawl4ai/adaptive_crawler.py
+++ b/crawl4ai/adaptive_crawler.py
@@ -19,7 +19,7 @@ import re
 from pathlib import Path
 
 from crawl4ai.async_webcrawler import AsyncWebCrawler
-from crawl4ai.async_configs import CrawlerRunConfig, LinkPreviewConfig
+from crawl4ai.async_configs import CrawlerRunConfig, LinkPreviewConfig, LLMConfig
 from crawl4ai.models import Link, CrawlResult
 import numpy as np
 
@@ -178,7 +178,7 @@ class AdaptiveConfig:
     
     # Embedding strategy parameters
     embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2"
-    embedding_llm_config: Optional[Dict] = None  # Separate config for embeddings
+    embedding_llm_config: Optional[Union[LLMConfig, Dict]] = None  # Separate config for embeddings
     n_query_variations: int = 10
     coverage_threshold: float = 0.85
     alpha_shape_alpha: float = 0.5
@@ -250,6 +250,30 @@ class AdaptiveConfig:
         assert 0 <= self.embedding_quality_max_confidence <= 1, "embedding_quality_max_confidence must be between 0 and 1"
         assert self.embedding_quality_scale_factor > 0, "embedding_quality_scale_factor must be positive"
         assert 0 <= self.embedding_min_confidence_threshold <= 1, "embedding_min_confidence_threshold must be between 0 and 1"
+    
+    @property
+    def _embedding_llm_config_dict(self) -> Optional[Dict]:
+        """Convert LLMConfig to dict format for backward compatibility."""
+        if self.embedding_llm_config is None:
+            return None
+        
+        if isinstance(self.embedding_llm_config, dict):
+            # Already a dict - return as-is for backward compatibility
+            return self.embedding_llm_config
+        
+        # Convert LLMConfig object to dict format
+        return {
+            'provider': self.embedding_llm_config.provider,
+            'api_token': self.embedding_llm_config.api_token,
+            'base_url': getattr(self.embedding_llm_config, 'base_url', None),
+            'temperature': getattr(self.embedding_llm_config, 'temperature', None),
+            'max_tokens': getattr(self.embedding_llm_config, 'max_tokens', None),
+            'top_p': getattr(self.embedding_llm_config, 'top_p', None),
+            'frequency_penalty': getattr(self.embedding_llm_config, 'frequency_penalty', None),
+            'presence_penalty': getattr(self.embedding_llm_config, 'presence_penalty', None),
+            'stop': getattr(self.embedding_llm_config, 'stop', None),
+            'n': getattr(self.embedding_llm_config, 'n', None),
+        }
 
 
 class CrawlStrategy(ABC):
@@ -593,7 +617,7 @@ class StatisticalStrategy(CrawlStrategy):
 class EmbeddingStrategy(CrawlStrategy):
     """Embedding-based adaptive crawling using semantic space coverage"""
     
-    def __init__(self, embedding_model: str = None, llm_config: Dict = None):
+    def __init__(self, embedding_model: str = None, llm_config: Union[LLMConfig, Dict] = None):
         self.embedding_model = embedding_model or "sentence-transformers/all-MiniLM-L6-v2"
         self.llm_config = llm_config
         self._embedding_cache = {}
@@ -605,14 +629,24 @@ class EmbeddingStrategy(CrawlStrategy):
         self._kb_embeddings_hash = None  # Track KB changes
         self._validation_embeddings_cache = None  # Cache validation query embeddings
         self._kb_similarity_threshold = 0.95  # Threshold for deduplication
+    
+    def _get_embedding_llm_config_dict(self) -> Dict:
+        """Get embedding LLM config as dict with fallback to default."""
+        if hasattr(self, 'config') and self.config:
+            config_dict = self.config._embedding_llm_config_dict
+            if config_dict:
+                return config_dict
+        
+        # Fallback to default if no config provided
+        return {
+            'provider': 'openai/text-embedding-3-small',
+            'api_token': os.getenv('OPENAI_API_KEY')
+        }
         
     async def _get_embeddings(self, texts: List[str]) -> Any:
         """Get embeddings using configured method"""
         from .utils import get_text_embeddings
-        embedding_llm_config = {
-            'provider': 'openai/text-embedding-3-small',
-            'api_token': os.getenv('OPENAI_API_KEY')
-        }
+        embedding_llm_config = self._get_embedding_llm_config_dict()
         return await get_text_embeddings(
             texts, 
             embedding_llm_config,
@@ -679,8 +713,20 @@ class EmbeddingStrategy(CrawlStrategy):
         Return as a JSON array of strings."""
         
         # Use the LLM for query generation
-        provider = self.llm_config.get('provider', 'openai/gpt-4o-mini') if self.llm_config else 'openai/gpt-4o-mini'
-        api_token = self.llm_config.get('api_token') if self.llm_config else None
+        # Convert LLMConfig to dict if needed
+        llm_config_dict = None
+        if self.llm_config:
+            if isinstance(self.llm_config, dict):
+                llm_config_dict = self.llm_config
+            else:
+                # Convert LLMConfig object to dict
+                llm_config_dict = {
+                    'provider': self.llm_config.provider,
+                    'api_token': self.llm_config.api_token
+                }
+        
+        provider = llm_config_dict.get('provider', 'openai/gpt-4o-mini') if llm_config_dict else 'openai/gpt-4o-mini'
+        api_token = llm_config_dict.get('api_token') if llm_config_dict else None
         
         # response = perform_completion_with_backoff(
         #     provider=provider,
@@ -843,10 +889,7 @@ class EmbeddingStrategy(CrawlStrategy):
         
         # Batch embed only uncached links
         if texts_to_embed:
-            embedding_llm_config = {
-                'provider': 'openai/text-embedding-3-small',
-                'api_token': os.getenv('OPENAI_API_KEY')
-            }
+            embedding_llm_config = self._get_embedding_llm_config_dict()
             new_embeddings = await get_text_embeddings(texts_to_embed, embedding_llm_config, self.embedding_model)
 
             # Cache the new embeddings
@@ -1184,10 +1227,7 @@ class EmbeddingStrategy(CrawlStrategy):
             return
             
         # Get embeddings for new texts
-        embedding_llm_config = {
-            'provider': 'openai/text-embedding-3-small',
-            'api_token': os.getenv('OPENAI_API_KEY')
-        }        
+        embedding_llm_config = self._get_embedding_llm_config_dict()      
         new_embeddings = await get_text_embeddings(new_texts, embedding_llm_config, self.embedding_model)
 
         # Deduplicate embeddings before adding to KB
@@ -1256,10 +1296,12 @@ class AdaptiveCrawler:
         if strategy_name == "statistical":
             return StatisticalStrategy()
         elif strategy_name == "embedding":
-            return EmbeddingStrategy(
+            strategy = EmbeddingStrategy(
                 embedding_model=self.config.embedding_model,
                 llm_config=self.config.embedding_llm_config
             )
+            strategy.config = self.config  # Pass config to strategy
+            return strategy
         else:
             raise ValueError(f"Unknown strategy: {strategy_name}")
     
diff --git a/crawl4ai/async_configs.py b/crawl4ai/async_configs.py
index a43b50a4..50fe99ba 100644
--- a/crawl4ai/async_configs.py
+++ b/crawl4ai/async_configs.py
@@ -1,5 +1,6 @@
 import os
 from typing import Union
+import warnings
 from .config import (
     DEFAULT_PROVIDER,
     DEFAULT_PROVIDER_API_KEY,
@@ -97,13 +98,16 @@ def to_serializable_dict(obj: Any, ignore_default_value : bool = False) -> Dict:
                 if value != param.default and not ignore_default_value:
                     current_values[name] = to_serializable_dict(value)
         
-        if hasattr(obj, '__slots__'):
-            for slot in obj.__slots__:
-                if slot.startswith('_'):  # Handle private slots
-                    attr_name = slot[1:]  # Remove leading '_'
-                    value = getattr(obj, slot, None)
-                    if value is not None:
-                        current_values[attr_name] = to_serializable_dict(value)
+        # Don't serialize private __slots__ - they're internal implementation details
+        # not constructor parameters. This was causing URLPatternFilter to fail
+        # because _simple_suffixes was being serialized as 'simple_suffixes'
+        # if hasattr(obj, '__slots__'):
+        #     for slot in obj.__slots__:
+        #         if slot.startswith('_'):  # Handle private slots
+        #             attr_name = slot[1:]  # Remove leading '_'
+        #             value = getattr(obj, slot, None)
+        #             if value is not None:
+        #                 current_values[attr_name] = to_serializable_dict(value)
 
             
         
@@ -254,24 +258,39 @@ class ProxyConfig:
     
     @staticmethod
     def from_string(proxy_str: str) -> "ProxyConfig":
-        """Create a ProxyConfig from a string in the format 'ip:port:username:password'."""
-        parts = proxy_str.split(":")
-        if len(parts) == 4:  # ip:port:username:password
+        """Create a ProxyConfig from a string.
+
+        Supported formats:
+        - 'http://username:password@ip:port'
+        - 'http://ip:port'
+        - 'socks5://ip:port'
+        - 'ip:port:username:password'
+        - 'ip:port'
+        """
+        s = (proxy_str or "").strip()
+        # URL with credentials
+        if "@" in s and "://" in s:
+            auth_part, server_part = s.split("@", 1)
+            protocol, credentials = auth_part.split("://", 1)
+            if ":" in credentials:
+                username, password = credentials.split(":", 1)
+                return ProxyConfig(
+                    server=f"{protocol}://{server_part}",
+                    username=username,
+                    password=password,
+                )
+        # URL without credentials (keep scheme)
+        if "://" in s and "@" not in s:
+            return ProxyConfig(server=s)
+        # Colon separated forms
+        parts = s.split(":")
+        if len(parts) == 4:
             ip, port, username, password = parts
-            return ProxyConfig(
-                server=f"http://{ip}:{port}",
-                username=username,
-                password=password,
-                ip=ip
-            )
-        elif len(parts) == 2:  # ip:port only
+            return ProxyConfig(server=f"http://{ip}:{port}", username=username, password=password)
+        if len(parts) == 2:
             ip, port = parts
-            return ProxyConfig(
-                server=f"http://{ip}:{port}",
-                ip=ip
-            )
-        else:
-            raise ValueError(f"Invalid proxy string format: {proxy_str}")
+            return ProxyConfig(server=f"http://{ip}:{port}")
+        raise ValueError(f"Invalid proxy string format: {proxy_str}")
     
     @staticmethod
     def from_dict(proxy_dict: Dict) -> "ProxyConfig":
@@ -435,6 +454,7 @@ class BrowserConfig:
         host: str = "localhost",
         enable_stealth: bool = False,
     ):
+        
         self.browser_type = browser_type
         self.headless = headless 
         self.browser_mode = browser_mode
@@ -447,13 +467,22 @@ class BrowserConfig:
         if self.browser_type in ["firefox", "webkit"]:
             self.channel = ""
             self.chrome_channel = ""
+        if proxy:
+            warnings.warn("The 'proxy' parameter is deprecated and will be removed in a future release. Use 'proxy_config' instead.", UserWarning)
         self.proxy = proxy
         self.proxy_config = proxy_config
         if isinstance(self.proxy_config, dict):
             self.proxy_config = ProxyConfig.from_dict(self.proxy_config)
         if isinstance(self.proxy_config, str):
             self.proxy_config = ProxyConfig.from_string(self.proxy_config)
-
+        
+        if self.proxy and self.proxy_config:
+            warnings.warn("Both 'proxy' and 'proxy_config' are provided. 'proxy_config' will take precedence.", UserWarning)
+            self.proxy = None
+        elif self.proxy:
+            # Convert proxy string to ProxyConfig if proxy_config is not provided
+            self.proxy_config = ProxyConfig.from_string(self.proxy)
+            self.proxy = None
 
         self.viewport_width = viewport_width
         self.viewport_height = viewport_height
@@ -831,12 +860,6 @@ class HTTPCrawlerConfig:
         return HTTPCrawlerConfig.from_kwargs(config)
 
 class CrawlerRunConfig():
-    _UNWANTED_PROPS = {
-        'disable_cache' : 'Instead, use cache_mode=CacheMode.DISABLED',
-        'bypass_cache' : 'Instead, use cache_mode=CacheMode.BYPASS',
-        'no_cache_read' : 'Instead, use cache_mode=CacheMode.WRITE_ONLY',
-        'no_cache_write' : 'Instead, use cache_mode=CacheMode.READ_ONLY',
-    }
 
     """
     Configuration class for controlling how the crawler runs each crawl operation.
@@ -1043,6 +1066,12 @@ class CrawlerRunConfig():
 
         url: str = None  # This is not a compulsory parameter
     """
+    _UNWANTED_PROPS = {
+        'disable_cache' : 'Instead, use cache_mode=CacheMode.DISABLED',
+        'bypass_cache' : 'Instead, use cache_mode=CacheMode.BYPASS',
+        'no_cache_read' : 'Instead, use cache_mode=CacheMode.WRITE_ONLY',
+        'no_cache_write' : 'Instead, use cache_mode=CacheMode.READ_ONLY',
+    }
 
     def __init__(
         self,
@@ -1121,6 +1150,7 @@ class CrawlerRunConfig():
         exclude_domains: list = None,
         exclude_internal_links: bool = False,
         score_links: bool = False,
+        preserve_https_for_internal_links: bool = False,
         # Debugging and Logging Parameters
         verbose: bool = True,
         log_console: bool = False,
@@ -1244,6 +1274,7 @@ class CrawlerRunConfig():
         self.exclude_domains = exclude_domains or []
         self.exclude_internal_links = exclude_internal_links
         self.score_links = score_links
+        self.preserve_https_for_internal_links = preserve_https_for_internal_links
 
         # Debugging and Logging Parameters
         self.verbose = verbose
@@ -1517,6 +1548,7 @@ class CrawlerRunConfig():
             exclude_domains=kwargs.get("exclude_domains", []),
             exclude_internal_links=kwargs.get("exclude_internal_links", False),
             score_links=kwargs.get("score_links", False),
+            preserve_https_for_internal_links=kwargs.get("preserve_https_for_internal_links", False),
             # Debugging and Logging Parameters
             verbose=kwargs.get("verbose", True),
             log_console=kwargs.get("log_console", False),
@@ -1623,6 +1655,7 @@ class CrawlerRunConfig():
             "exclude_domains": self.exclude_domains,
             "exclude_internal_links": self.exclude_internal_links,
             "score_links": self.score_links,
+            "preserve_https_for_internal_links": self.preserve_https_for_internal_links,
             "verbose": self.verbose,
             "log_console": self.log_console,
             "capture_network_requests": self.capture_network_requests,
diff --git a/crawl4ai/async_crawler_strategy.back.py b/crawl4ai/async_crawler_strategy.back.py
index 9fdb0fe2..9f1ed38d 100644
--- a/crawl4ai/async_crawler_strategy.back.py
+++ b/crawl4ai/async_crawler_strategy.back.py
@@ -824,7 +824,7 @@ class AsyncPlaywrightCrawlerStrategy(AsyncCrawlerStrategy):
             except Error:
                 visibility_info = await self.check_visibility(page)
 
-                if self.browser_config.config.verbose:
+                if self.browser_config.verbose:
                     self.logger.debug(
                         message="Body visibility info: {info}",
                         tag="DEBUG",
diff --git a/crawl4ai/async_dispatcher.py b/crawl4ai/async_dispatcher.py
index 5bb1a47c..bd44557c 100644
--- a/crawl4ai/async_dispatcher.py
+++ b/crawl4ai/async_dispatcher.py
@@ -455,8 +455,6 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
                     
                 # Update priorities for waiting tasks if needed
                 await self._update_queue_priorities()
-                
-            return results
 
         except Exception as e:
             if self.monitor:
@@ -467,6 +465,7 @@ class MemoryAdaptiveDispatcher(BaseDispatcher):
             memory_monitor.cancel()
             if self.monitor:
                 self.monitor.stop()
+            return results
                 
     async def _update_queue_priorities(self):
         """Periodically update priorities of items in the queue to prevent starvation"""
diff --git a/crawl4ai/async_webcrawler.py b/crawl4ai/async_webcrawler.py
index ebd2859d..f12fc488 100644
--- a/crawl4ai/async_webcrawler.py
+++ b/crawl4ai/async_webcrawler.py
@@ -354,6 +354,7 @@ class AsyncWebCrawler:
                     ###############################################################
                     # Process the HTML content, Call CrawlerStrategy.process_html #
                     ###############################################################
+                    from urllib.parse import urlparse
                     crawl_result: CrawlResult = await self.aprocess_html(
                         url=url,
                         html=html,
@@ -364,6 +365,7 @@ class AsyncWebCrawler:
                         verbose=config.verbose,
                         is_raw_html=True if url.startswith("raw:") else False,
                         redirected_url=async_response.redirected_url,
+                        original_scheme=urlparse(url).scheme,
                         **kwargs,
                     )
 
diff --git a/crawl4ai/browser_adapter.py b/crawl4ai/browser_adapter.py
index 85fef16e..3d3f5cdc 100644
--- a/crawl4ai/browser_adapter.py
+++ b/crawl4ai/browser_adapter.py
@@ -148,6 +148,134 @@ class PlaywrightAdapter(BrowserAdapter):
         return Page, Error, PlaywrightTimeoutError
 
 
+class StealthAdapter(BrowserAdapter):
+    """Adapter for Playwright with stealth features using playwright_stealth"""
+
+    def __init__(self):
+        self._console_script_injected = {}
+        self._stealth_available = self._check_stealth_availability()
+
+    def _check_stealth_availability(self) -> bool:
+        """Check if playwright_stealth is available and get the correct function"""
+        try:
+            from playwright_stealth import stealth_async
+            self._stealth_function = stealth_async
+            return True
+        except ImportError:
+            try:
+                from playwright_stealth import stealth_sync
+                self._stealth_function = stealth_sync
+                return True
+            except ImportError:
+                self._stealth_function = None
+                return False
+
+    async def apply_stealth(self, page: Page):
+        """Apply stealth to a page if available"""
+        if self._stealth_available and self._stealth_function:
+            try:
+                if hasattr(self._stealth_function, '__call__'):
+                    if 'async' in getattr(self._stealth_function, '__name__', ''):
+                        await self._stealth_function(page)
+                    else:
+                        self._stealth_function(page)
+            except Exception as e:
+                # Fail silently or log error depending on requirements
+                pass
+
+    async def evaluate(self, page: Page, expression: str, arg: Any = None) -> Any:
+        """Standard Playwright evaluate with stealth applied"""
+        if arg is not None:
+            return await page.evaluate(expression, arg)
+        return await page.evaluate(expression)
+
+    async def setup_console_capture(self, page: Page, captured_console: List[Dict]) -> Optional[Callable]:
+        """Setup console capture using Playwright's event system with stealth"""
+        # Apply stealth to the page first
+        await self.apply_stealth(page)
+
+        def handle_console_capture(msg):
+            try:
+                message_type = "unknown"
+                try:
+                    message_type = msg.type
+                except:
+                    pass
+
+                message_text = "unknown"
+                try:
+                    message_text = msg.text
+                except:
+                    pass
+
+                entry = {
+                    "type": message_type,
+                    "text": message_text,
+                    "timestamp": time.time()
+                }
+
+                captured_console.append(entry)
+
+            except Exception as e:
+                captured_console.append({
+                    "type": "console_capture_error",
+                    "error": str(e),
+                    "timestamp": time.time()
+                })
+
+        page.on("console", handle_console_capture)
+        return handle_console_capture
+
+    async def setup_error_capture(self, page: Page, captured_console: List[Dict]) -> Optional[Callable]:
+        """Setup error capture using Playwright's event system"""
+        def handle_pageerror_capture(err):
+            try:
+                error_message = "Unknown error"
+                try:
+                    error_message = err.message
+                except:
+                    pass
+
+                error_stack = ""
+                try:
+                    error_stack = err.stack
+                except:
+                    pass
+
+                captured_console.append({
+                    "type": "error",
+                    "text": error_message,
+                    "stack": error_stack,
+                    "timestamp": time.time()
+                })
+            except Exception as e:
+                captured_console.append({
+                    "type": "pageerror_capture_error",
+                    "error": str(e),
+                    "timestamp": time.time()
+                })
+
+        page.on("pageerror", handle_pageerror_capture)
+        return handle_pageerror_capture
+
+    async def retrieve_console_messages(self, page: Page) -> List[Dict]:
+        """Not needed for Playwright - messages are captured via events"""
+        return []
+
+    async def cleanup_console_capture(self, page: Page, handle_console: Optional[Callable], handle_error: Optional[Callable]):
+        """Remove event listeners"""
+        if handle_console:
+            page.remove_listener("console", handle_console)
+        if handle_error:
+            page.remove_listener("pageerror", handle_error)
+
+    def get_imports(self) -> tuple:
+        """Return Playwright imports"""
+        from playwright.async_api import Page, Error
+        from playwright.async_api import TimeoutError as PlaywrightTimeoutError
+        return Page, Error, PlaywrightTimeoutError
+
+
 class UndetectedAdapter(BrowserAdapter):
     """Adapter for undetected browser automation with stealth features"""
     
diff --git a/crawl4ai/browser_manager.py b/crawl4ai/browser_manager.py
index 8fed970c..a0fb2673 100644
--- a/crawl4ai/browser_manager.py
+++ b/crawl4ai/browser_manager.py
@@ -15,6 +15,7 @@ from .js_snippet import load_js_script
 from .config import DOWNLOAD_PAGE_TIMEOUT
 from .async_configs import BrowserConfig, CrawlerRunConfig
 from .utils import get_chromium_path
+import warnings
 
 
 BROWSER_DISABLE_OPTIONS = [
@@ -613,9 +614,11 @@ class BrowserManager:
         # for all racers). Prevents 'Target page/context closed' errors.
         self._page_lock = asyncio.Lock()
         
-        # Stealth-related attributes
-        self._stealth_instance = None
-        self._stealth_cm = None 
+        # Stealth adapter for stealth mode
+        self._stealth_adapter = None
+        if self.config.enable_stealth and not self.use_undetected:
+            from .browser_adapter import StealthAdapter
+            self._stealth_adapter = StealthAdapter()
 
         # Initialize ManagedBrowser if needed
         if self.config.use_managed_browser:
@@ -649,16 +652,8 @@ class BrowserManager:
         else:
             from playwright.async_api import async_playwright
 
-        # Initialize playwright with or without stealth
-        if self.config.enable_stealth and not self.use_undetected:
-            # Import stealth only when needed
-            from playwright_stealth import Stealth
-            # Use the recommended stealth wrapper approach
-            self._stealth_instance = Stealth()
-            self._stealth_cm = self._stealth_instance.use_async(async_playwright())
-            self.playwright = await self._stealth_cm.__aenter__()
-        else:
-            self.playwright = await async_playwright().start()
+        # Initialize playwright
+        self.playwright = await async_playwright().start()
 
         if self.config.cdp_url or self.config.use_managed_browser:
             self.config.use_managed_browser = True
@@ -741,17 +736,18 @@ class BrowserManager:
             )
             os.makedirs(browser_args["downloads_path"], exist_ok=True)
 
-        if self.config.proxy or self.config.proxy_config:
+        if self.config.proxy:
+            warnings.warn(
+                "BrowserConfig.proxy is deprecated and ignored. Use proxy_config instead.",
+                DeprecationWarning,
+            )
+        if self.config.proxy_config:
             from playwright.async_api import ProxySettings
 
-            proxy_settings = (
-                ProxySettings(server=self.config.proxy)
-                if self.config.proxy
-                else ProxySettings(
-                    server=self.config.proxy_config.server,
-                    username=self.config.proxy_config.username,
-                    password=self.config.proxy_config.password,
-                )
+            proxy_settings = ProxySettings(
+                server=self.config.proxy_config.server,
+                username=self.config.proxy_config.username,
+                password=self.config.proxy_config.password,
             )
             browser_args["proxy"] = proxy_settings
 
@@ -1007,6 +1003,19 @@ class BrowserManager:
         signature_hash = hashlib.sha256(signature_json.encode("utf-8")).hexdigest()
         return signature_hash
 
+    async def _apply_stealth_to_page(self, page):
+        """Apply stealth to a page if stealth mode is enabled"""
+        if self._stealth_adapter:
+            try:
+                await self._stealth_adapter.apply_stealth(page)
+            except Exception as e:
+                if self.logger:
+                    self.logger.warning(
+                        message="Failed to apply stealth to page: {error}",
+                        tag="STEALTH",
+                        params={"error": str(e)}
+                    )
+
     async def get_page(self, crawlerRunConfig: CrawlerRunConfig):
         """
         Get a page for the given session ID, creating a new one if needed.
@@ -1036,6 +1045,7 @@ class BrowserManager:
                 # See GH-1198: context.pages can be empty under races
                 async with self._page_lock:
                     page = await ctx.new_page()
+                await self._apply_stealth_to_page(page)
             else:
                 context = self.default_context
                 pages = context.pages
@@ -1052,6 +1062,7 @@ class BrowserManager:
                                 page = pages[0]
                             else:
                                 page = await context.new_page()
+                                await self._apply_stealth_to_page(page)
         else:
             # Otherwise, check if we have an existing context for this config
             config_signature = self._make_config_signature(crawlerRunConfig)
@@ -1067,6 +1078,7 @@ class BrowserManager:
 
             # Create a new page from the chosen context
             page = await context.new_page()
+            await self._apply_stealth_to_page(page)
 
         # If a session_id is specified, store this session so we can reuse later
         if crawlerRunConfig.session_id:
@@ -1133,19 +1145,5 @@ class BrowserManager:
             self.managed_browser = None
 
         if self.playwright:
-            # Handle stealth context manager cleanup if it exists
-            if hasattr(self, '_stealth_cm') and self._stealth_cm is not None:
-                try:
-                    await self._stealth_cm.__aexit__(None, None, None)
-                except Exception as e:
-                    if self.logger:
-                        self.logger.error(
-                            message="Error closing stealth context: {error}",
-                            tag="ERROR", 
-                            params={"error": str(e)}
-                        )
-                self._stealth_cm = None
-                self._stealth_instance = None
-            else:
-                await self.playwright.stop()
+            await self.playwright.stop()
             self.playwright = None
diff --git a/crawl4ai/content_scraping_strategy.py b/crawl4ai/content_scraping_strategy.py
index 9ef0e616..d9095e49 100644
--- a/crawl4ai/content_scraping_strategy.py
+++ b/crawl4ai/content_scraping_strategy.py
@@ -258,7 +258,11 @@ class LXMLWebScrapingStrategy(ContentScrapingStrategy):
                 continue
 
             try:
-                normalized_href = normalize_url(href, url)
+                normalized_href = normalize_url(
+                    href, url,
+                    preserve_https=kwargs.get('preserve_https_for_internal_links', False),
+                    original_scheme=kwargs.get('original_scheme')
+                )
                 link_data = {
                     "href": normalized_href,
                     "text": link.text_content().strip(),
diff --git a/crawl4ai/deep_crawling/bff_strategy.py b/crawl4ai/deep_crawling/bff_strategy.py
index 7779c9f4..58209bcb 100644
--- a/crawl4ai/deep_crawling/bff_strategy.py
+++ b/crawl4ai/deep_crawling/bff_strategy.py
@@ -47,7 +47,13 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         self.url_scorer = url_scorer
         self.include_external = include_external
         self.max_pages = max_pages
-        self.logger = logger or logging.getLogger(__name__)
+        # self.logger = logger or logging.getLogger(__name__)
+        # Ensure logger is always a Logger instance, not a dict from serialization
+        if isinstance(logger, logging.Logger):
+            self.logger = logger
+        else:
+            # Create a new logger if logger is None, dict, or any other non-Logger type
+            self.logger = logging.getLogger(__name__)
         self.stats = TraversalStats(start_time=datetime.now())
         self._cancel_event = asyncio.Event()
         self._pages_crawled = 0
@@ -116,11 +122,6 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                 
             valid_links.append(base_url)
             
-        # If we have more valid links than capacity, limit them
-        if len(valid_links) > remaining_capacity:
-            valid_links = valid_links[:remaining_capacity]
-            self.logger.info(f"Limiting to {remaining_capacity} URLs due to max_pages limit")
-            
         # Record the new depths and add to next_links
         for url in valid_links:
             depths[url] = new_depth
@@ -140,7 +141,8 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
         """
         queue: asyncio.PriorityQueue = asyncio.PriorityQueue()
         # Push the initial URL with score 0 and depth 0.
-        await queue.put((0, 0, start_url, None))
+        initial_score = self.url_scorer.score(start_url) if self.url_scorer else 0
+        await queue.put((-initial_score, 0, start_url, None))
         visited: Set[str] = set()
         depths: Dict[str, int] = {start_url: 0}
 
@@ -187,7 +189,7 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                 result.metadata = result.metadata or {}
                 result.metadata["depth"] = depth
                 result.metadata["parent_url"] = parent_url
-                result.metadata["score"] = score
+                result.metadata["score"] = -score
                 
                 # Count only successful crawls toward max_pages limit
                 if result.success:
@@ -208,7 +210,7 @@ class BestFirstCrawlingStrategy(DeepCrawlStrategy):
                     for new_url, new_parent in new_links:
                         new_depth = depths.get(new_url, depth + 1)
                         new_score = self.url_scorer.score(new_url) if self.url_scorer else 0
-                        await queue.put((new_score, new_depth, new_url, new_parent))
+                        await queue.put((-new_score, new_depth, new_url, new_parent))
 
         # End of crawl.
 
diff --git a/crawl4ai/deep_crawling/bfs_strategy.py b/crawl4ai/deep_crawling/bfs_strategy.py
index 950c3980..eb699f82 100644
--- a/crawl4ai/deep_crawling/bfs_strategy.py
+++ b/crawl4ai/deep_crawling/bfs_strategy.py
@@ -38,7 +38,13 @@ class BFSDeepCrawlStrategy(DeepCrawlStrategy):
         self.include_external = include_external
         self.score_threshold = score_threshold
         self.max_pages = max_pages
-        self.logger = logger or logging.getLogger(__name__)
+        # self.logger = logger or logging.getLogger(__name__)
+        # Ensure logger is always a Logger instance, not a dict from serialization
+        if isinstance(logger, logging.Logger):
+            self.logger = logger
+        else:
+            # Create a new logger if logger is None, dict, or any other non-Logger type
+            self.logger = logging.getLogger(__name__)
         self.stats = TraversalStats(start_time=datetime.now())
         self._cancel_event = asyncio.Event()
         self._pages_crawled = 0
diff --git a/crawl4ai/deep_crawling/filters.py b/crawl4ai/deep_crawling/filters.py
index b65112e2..981cbcd8 100644
--- a/crawl4ai/deep_crawling/filters.py
+++ b/crawl4ai/deep_crawling/filters.py
@@ -120,6 +120,9 @@ class URLPatternFilter(URLFilter):
     """Pattern filter balancing speed and completeness"""
 
     __slots__ = (
+        "patterns",  # Store original patterns for serialization
+        "use_glob",  # Store original use_glob for serialization  
+        "reverse",   # Store original reverse for serialization
         "_simple_suffixes",
         "_simple_prefixes",
         "_domain_patterns",
@@ -142,6 +145,11 @@ class URLPatternFilter(URLFilter):
         reverse: bool = False,
     ):
         super().__init__()
+        # Store original constructor params for serialization
+        self.patterns = patterns
+        self.use_glob = use_glob
+        self.reverse = reverse
+        
         self._reverse = reverse
         patterns = [patterns] if isinstance(patterns, (str, Pattern)) else patterns
 
diff --git a/crawl4ai/docker_client.py b/crawl4ai/docker_client.py
index 4e33431f..969fee7c 100644
--- a/crawl4ai/docker_client.py
+++ b/crawl4ai/docker_client.py
@@ -1,4 +1,4 @@
-from typing import List, Optional, Union, AsyncGenerator, Dict, Any
+from typing import List, Optional, Union, AsyncGenerator, Dict, Any, Callable
 import httpx
 import json
 from urllib.parse import urljoin
@@ -7,6 +7,7 @@ import asyncio
 from .async_configs import BrowserConfig, CrawlerRunConfig
 from .models import CrawlResult
 from .async_logger import AsyncLogger, LogLevel
+from .utils import hooks_to_string
 
 
 class Crawl4aiClientError(Exception):
@@ -70,17 +71,41 @@ class Crawl4aiDockerClient:
             self.logger.error(f"Server unreachable: {str(e)}", tag="ERROR")
             raise ConnectionError(f"Cannot connect to server: {str(e)}")
 
-    def _prepare_request(self, urls: List[str], browser_config: Optional[BrowserConfig] = None, 
-                       crawler_config: Optional[CrawlerRunConfig] = None) -> Dict[str, Any]:
+    def _prepare_request(
+        self,
+        urls: List[str],
+        browser_config: Optional[BrowserConfig] = None,
+        crawler_config: Optional[CrawlerRunConfig] = None,
+        hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
+        hooks_timeout: int = 30
+    ) -> Dict[str, Any]:
         """Prepare request data from configs."""
         if self._token:
             self._http_client.headers["Authorization"] = f"Bearer {self._token}"
-        return {
+
+        request_data = {
             "urls": urls,
             "browser_config": browser_config.dump() if browser_config else {},
             "crawler_config": crawler_config.dump() if crawler_config else {}
         }
 
+        # Handle hooks if provided
+        if hooks:
+            # Check if hooks are already strings or need conversion
+            if any(callable(v) for v in hooks.values()):
+                # Convert function objects to strings
+                hooks_code = hooks_to_string(hooks)
+            else:
+                # Already in string format
+                hooks_code = hooks
+
+            request_data["hooks"] = {
+                "code": hooks_code,
+                "timeout": hooks_timeout
+            }
+
+        return request_data
+
     async def _request(self, method: str, endpoint: str, **kwargs) -> httpx.Response:
         """Make an HTTP request with error handling."""
         url = urljoin(self.base_url, endpoint)
@@ -102,16 +127,42 @@ class Crawl4aiDockerClient:
         self,
         urls: List[str],
         browser_config: Optional[BrowserConfig] = None,
-        crawler_config: Optional[CrawlerRunConfig] = None
+        crawler_config: Optional[CrawlerRunConfig] = None,
+        hooks: Optional[Union[Dict[str, Callable], Dict[str, str]]] = None,
+        hooks_timeout: int = 30
     ) -> Union[CrawlResult, List[CrawlResult], AsyncGenerator[CrawlResult, None]]:
-        """Execute a crawl operation."""
+        """
+        Execute a crawl operation.
+
+        Args:
+            urls: List of URLs to crawl
+            browser_config: Browser configuration
+            crawler_config: Crawler configuration
+            hooks: Optional hooks - can be either:
+                   - Dict[str, Callable]: Function objects that will be converted to strings
+                   - Dict[str, str]: Already stringified hook code
+            hooks_timeout: Timeout in seconds for each hook execution (1-120)
+
+        Returns:
+            Single CrawlResult, list of results, or async generator for streaming
+
+        Example with function hooks:
+            >>> async def my_hook(page, context, **kwargs):
+            ...     await page.set_viewport_size({"width": 1920, "height": 1080})
+            ...     return page
+            >>>
+            >>> result = await client.crawl(
+            ...     ["https://example.com"],
+            ...     hooks={"on_page_context_created": my_hook}
+            ... )
+        """
         await self._check_server()
-        
-        data = self._prepare_request(urls, browser_config, crawler_config)
+
+        data = self._prepare_request(urls, browser_config, crawler_config, hooks, hooks_timeout)
         is_streaming = crawler_config and crawler_config.stream
-        
+
         self.logger.info(f"Crawling {len(urls)} URLs {'(streaming)' if is_streaming else ''}", tag="CRAWL")
-        
+
         if is_streaming:
             async def stream_results() -> AsyncGenerator[CrawlResult, None]:
                 async with self._http_client.stream("POST", f"{self.base_url}/crawl/stream", json=data) as response:
@@ -128,12 +179,12 @@ class Crawl4aiDockerClient:
                             else:
                                 yield CrawlResult(**result)
             return stream_results()
-        
+
         response = await self._request("POST", "/crawl", json=data)
         result_data = response.json()
         if not result_data.get("success", False):
             raise RequestError(f"Crawl failed: {result_data.get('msg', 'Unknown error')}")
-        
+
         results = [CrawlResult(**r) for r in result_data.get("results", [])]
         self.logger.success(f"Crawl completed with {len(results)} results", tag="CRAWL")
         return results[0] if len(results) == 1 else results
diff --git a/crawl4ai/models.py b/crawl4ai/models.py
index 640c2f2d..63e39885 100644
--- a/crawl4ai/models.py
+++ b/crawl4ai/models.py
@@ -253,6 +253,16 @@ class CrawlResult(BaseModel):
         requirements change, this is where you would update the logic.
         """
         result = super().model_dump(*args, **kwargs)
+        
+        # Remove any property descriptors that might have been included
+        # These deprecated properties should not be in the serialized output
+        for key in ['fit_html', 'fit_markdown', 'markdown_v2']:
+            if key in result and isinstance(result[key], property):
+                # del result[key]
+                # Nasrin: I decided to convert it to string instead of removing it.
+                result[key] = str(result[key])
+        
+        # Add the markdown field properly
         if self._markdown is not None:
             result["markdown"] = self._markdown.model_dump() 
         return result
diff --git a/crawl4ai/utils.py b/crawl4ai/utils.py
index 73f1d2a3..bbd7ffa2 100644
--- a/crawl4ai/utils.py
+++ b/crawl4ai/utils.py
@@ -47,6 +47,7 @@ from urllib.parse import (
     urljoin, urlparse, urlunparse,
     parse_qsl, urlencode, quote, unquote
 )
+import inspect
 
 
 # Monkey patch to fix wildcard handling in urllib.robotparser
@@ -1790,6 +1791,10 @@ def perform_completion_with_backoff(
         except RateLimitError as e:
             print("Rate limit error:", str(e))
 
+            if attempt == max_attempts - 1:
+                # Last attempt failed, raise the error.
+                raise
+
             # Check if we have exhausted our max attempts
             if attempt < max_attempts - 1:
                 # Calculate the delay and wait
@@ -2146,7 +2151,9 @@ def normalize_url(
     drop_query_tracking=True,
     sort_query=True,
     keep_fragment=False,
-    extra_drop_params=None
+    extra_drop_params=None,
+    preserve_https=False,
+    original_scheme=None
 ):
     """
     Extended URL normalizer
@@ -2176,6 +2183,17 @@ def normalize_url(
 
     # Resolve relative paths first
     full_url = urljoin(base_url, href.strip())
+    
+    # Preserve HTTPS if requested and original scheme was HTTPS
+    if preserve_https and original_scheme == 'https':
+        parsed_full = urlparse(full_url)
+        parsed_base = urlparse(base_url)
+        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
+        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
+        if (parsed_full.scheme == 'http' and 
+            parsed_full.netloc == parsed_base.netloc and
+            not href.strip().startswith('//')):
+            full_url = full_url.replace('http://', 'https://', 1)
 
     # Parse once, edit parts, then rebuild
     parsed = urlparse(full_url)
@@ -2184,8 +2202,10 @@ def normalize_url(
     netloc = parsed.netloc.lower()
 
     # ── path ──
-    # Strip duplicate slashes and trailing “/” (except root)
-    path = quote(unquote(parsed.path))
+    # Strip duplicate slashes and trailing "/" (except root)
+    # IMPORTANT: Don't use quote(unquote()) as it mangles + signs in URLs
+    # The path from urlparse is already properly encoded
+    path = parsed.path
     if path.endswith('/') and path != '/':
         path = path.rstrip('/')
 
@@ -2225,7 +2245,7 @@ def normalize_url(
     return normalized
 
 
-def normalize_url_for_deep_crawl(href, base_url):
+def normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_scheme=None):
     """Normalize URLs to ensure consistent format"""
     from urllib.parse import urljoin, urlparse, urlunparse, parse_qs, urlencode
 
@@ -2236,6 +2256,17 @@ def normalize_url_for_deep_crawl(href, base_url):
     # Use urljoin to handle relative URLs
     full_url = urljoin(base_url, href.strip())
     
+    # Preserve HTTPS if requested and original scheme was HTTPS
+    if preserve_https and original_scheme == 'https':
+        parsed_full = urlparse(full_url)
+        parsed_base = urlparse(base_url)
+        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
+        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
+        if (parsed_full.scheme == 'http' and 
+            parsed_full.netloc == parsed_base.netloc and
+            not href.strip().startswith('//')):
+            full_url = full_url.replace('http://', 'https://', 1)
+    
     # Parse the URL for normalization
     parsed = urlparse(full_url)
     
@@ -2273,7 +2304,7 @@ def normalize_url_for_deep_crawl(href, base_url):
     return normalized
 
 @lru_cache(maxsize=10000)
-def efficient_normalize_url_for_deep_crawl(href, base_url):
+def efficient_normalize_url_for_deep_crawl(href, base_url, preserve_https=False, original_scheme=None):
     """Efficient URL normalization with proper parsing"""
     from urllib.parse import urljoin
     
@@ -2283,6 +2314,17 @@ def efficient_normalize_url_for_deep_crawl(href, base_url):
     # Resolve relative URLs
     full_url = urljoin(base_url, href.strip())
     
+    # Preserve HTTPS if requested and original scheme was HTTPS
+    if preserve_https and original_scheme == 'https':
+        parsed_full = urlparse(full_url)
+        parsed_base = urlparse(base_url)
+        # Only preserve HTTPS for same-domain links (not protocol-relative URLs)
+        # Protocol-relative URLs (//example.com) should follow the base URL's scheme
+        if (parsed_full.scheme == 'http' and 
+            parsed_full.netloc == parsed_base.netloc and
+            not href.strip().startswith('//')):
+            full_url = full_url.replace('http://', 'https://', 1)
+    
     # Use proper URL parsing
     parsed = urlparse(full_url)
     
@@ -3488,4 +3530,52 @@ def get_memory_stats() -> Tuple[float, float, float]:
     available_gb = get_true_available_memory_gb()
     used_percent = get_true_memory_usage_percent()
     
-    return used_percent, available_gb, total_gb
\ No newline at end of file
+    return used_percent, available_gb, total_gb
+
+
+# Hook utilities for Docker API
+def hooks_to_string(hooks: Dict[str, Callable]) -> Dict[str, str]:
+    """
+    Convert hook function objects to string representations for Docker API.
+
+    This utility simplifies the process of using hooks with the Docker API by converting
+    Python function objects into the string format required by the API.
+
+    Args:
+        hooks: Dictionary mapping hook point names to Python function objects.
+               Functions should be async and follow hook signature requirements.
+
+    Returns:
+        Dictionary mapping hook point names to string representations of the functions.
+
+    Example:
+        >>> async def my_hook(page, context, **kwargs):
+        ...     await page.set_viewport_size({"width": 1920, "height": 1080})
+        ...     return page
+        >>>
+        >>> hooks_dict = {"on_page_context_created": my_hook}
+        >>> api_hooks = hooks_to_string(hooks_dict)
+        >>> # api_hooks is now ready to use with Docker API
+
+    Raises:
+        ValueError: If a hook is not callable or source cannot be extracted
+    """
+    result = {}
+
+    for hook_name, hook_func in hooks.items():
+        if not callable(hook_func):
+            raise ValueError(f"Hook '{hook_name}' must be a callable function, got {type(hook_func)}")
+
+        try:
+            # Get the source code of the function
+            source = inspect.getsource(hook_func)
+            # Remove any leading indentation to get clean source
+            source = textwrap.dedent(source)
+            result[hook_name] = source
+        except (OSError, TypeError) as e:
+            raise ValueError(
+                f"Cannot extract source code for hook '{hook_name}'. "
+                f"Make sure the function is defined in a file (not interactively). Error: {e}"
+            )
+
+    return result
diff --git a/deploy/docker/.llm.env.example b/deploy/docker/.llm.env.example
index 254002f4..012435d8 100644
--- a/deploy/docker/.llm.env.example
+++ b/deploy/docker/.llm.env.example
@@ -10,4 +10,23 @@ GEMINI_API_TOKEN=your_gemini_key_here
 # Optional: Override the default LLM provider
 # Examples: "openai/gpt-4", "anthropic/claude-3-opus", "deepseek/chat", etc.
 # If not set, uses the provider specified in config.yml (default: openai/gpt-4o-mini)
-# LLM_PROVIDER=anthropic/claude-3-opus
\ No newline at end of file
+# LLM_PROVIDER=anthropic/claude-3-opus
+
+# Optional: Global LLM temperature setting (0.0-2.0)
+# Controls randomness in responses. Lower = more focused, Higher = more creative
+# LLM_TEMPERATURE=0.7
+
+# Optional: Global custom API base URL
+# Use this to point to custom endpoints or proxy servers
+# LLM_BASE_URL=https://api.custom.com/v1
+
+# Optional: Provider-specific temperature overrides
+# These take precedence over the global LLM_TEMPERATURE
+# OPENAI_TEMPERATURE=0.5
+# ANTHROPIC_TEMPERATURE=0.3
+# GROQ_TEMPERATURE=0.8
+
+# Optional: Provider-specific base URL overrides
+# Use for provider-specific proxy endpoints
+# OPENAI_BASE_URL=https://custom-openai.company.com/v1
+# GROQ_BASE_URL=https://custom-groq.company.com/v1
\ No newline at end of file
diff --git a/deploy/docker/README.md b/deploy/docker/README.md
index 49e0030b..2c920ef1 100644
--- a/deploy/docker/README.md
+++ b/deploy/docker/README.md
@@ -12,6 +12,7 @@
   - [Python SDK](#python-sdk)
   - [Understanding Request Schema](#understanding-request-schema)
   - [REST API Examples](#rest-api-examples)
+  - [Asynchronous Jobs with Webhooks](#asynchronous-jobs-with-webhooks)
 - [Additional API Endpoints](#additional-api-endpoints)
   - [HTML Extraction Endpoint](#html-extraction-endpoint)
   - [Screenshot Endpoint](#screenshot-endpoint)
@@ -58,15 +59,13 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest release candidate is `0.7.0-r1`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
-
-> ⚠️ **Important Note**: The `latest` tag currently points to the stable `0.6.0` version. After testing and validation, `0.7.0` (without -r1) will be released and `latest` will be updated. For now, please use `0.7.0-r1` to test the new features.
+Our latest stable release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
 
 ```bash
-# Pull the release candidate (for testing new features)
-docker pull unclecode/crawl4ai:0.7.0-r1
+# Pull the latest stable version (0.7.6)
+docker pull unclecode/crawl4ai:0.7.6
 
-# Or pull the current stable version (0.6.0)
+# Or use the latest tag (points to 0.7.6)
 docker pull unclecode/crawl4ai:latest
 ```
 
@@ -101,7 +100,7 @@ EOL
       -p 11235:11235 \
       --name crawl4ai \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.0-r1
+      unclecode/crawl4ai:0.7.6
     ```
 
 *   **With LLM support:**
@@ -112,7 +111,7 @@ EOL
       --name crawl4ai \
       --env-file .llm.env \
       --shm-size=1g \
-      unclecode/crawl4ai:0.7.0-r1
+      unclecode/crawl4ai:0.7.6
     ```
 
 > The server will be available at `http://localhost:11235`. Visit `/playground` to access the interactive testing interface.
@@ -185,7 +184,7 @@ The `docker-compose.yml` file in the project root provides a simplified approach
     ```bash
     # Pulls and runs the release candidate from Docker Hub
     # Automatically selects the correct architecture
-    IMAGE=unclecode/crawl4ai:0.7.0-r1 docker compose up -d
+    IMAGE=unclecode/crawl4ai:0.7.6 docker compose up -d
     ```
 
 *   **Build and Run Locally:**
@@ -648,6 +647,146 @@ async def test_stream_crawl(token: str = None): # Made token optional
 # asyncio.run(test_stream_crawl())
 ```
 
+### Asynchronous Jobs with Webhooks
+
+For long-running crawls or when you want to avoid keeping connections open, use the job queue endpoints. Instead of polling for results, configure a webhook to receive notifications when jobs complete.
+
+#### Why Use Jobs & Webhooks?
+
+- **No Polling Required** - Get notified when crawls complete instead of constantly checking status
+- **Better Resource Usage** - Free up client connections while jobs run in the background
+- **Scalable Architecture** - Ideal for high-volume crawling with TypeScript/Node.js clients or microservices
+- **Reliable Delivery** - Automatic retry with exponential backoff (5 attempts: 1s → 2s → 4s → 8s → 16s)
+
+#### How It Works
+
+1. **Submit Job** → POST to `/crawl/job` with optional `webhook_config`
+2. **Get Task ID** → Receive a `task_id` immediately
+3. **Job Runs** → Crawl executes in the background
+4. **Webhook Fired** → Server POSTs completion notification to your webhook URL
+5. **Fetch Results** → If data wasn't included in webhook, GET `/crawl/job/{task_id}`
+
+#### Quick Example
+
+```bash
+# Submit a crawl job with webhook notification
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false
+    }
+  }'
+
+# Response: {"task_id": "crawl_a1b2c3d4"}
+```
+
+**Your webhook receives:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4",
+  "task_type": "crawl",
+  "status": "completed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com"]
+}
+```
+
+Then fetch the results:
+```bash
+curl http://localhost:11235/crawl/job/crawl_a1b2c3d4
+```
+
+#### Include Data in Webhook
+
+Set `webhook_data_in_payload: true` to receive the full crawl results directly in the webhook:
+
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+**Your webhook receives the complete data:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4",
+  "task_type": "crawl",
+  "status": "completed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "data": {
+    "markdown": "...",
+    "html": "...",
+    "links": {...},
+    "metadata": {...}
+  }
+}
+```
+
+#### Webhook Authentication
+
+Add custom headers for authentication:
+
+```json
+{
+  "urls": ["https://example.com"],
+  "webhook_config": {
+    "webhook_url": "https://myapp.com/webhooks/crawl",
+    "webhook_data_in_payload": false,
+    "webhook_headers": {
+      "X-Webhook-Secret": "your-secret-token",
+      "X-Service-ID": "crawl4ai-prod"
+    }
+  }
+}
+```
+
+#### Global Default Webhook
+
+Configure a default webhook URL in `config.yml` for all jobs:
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"
+  data_in_payload: false
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000
+    max_delay_ms: 32000
+    timeout_ms: 30000
+```
+
+Now jobs without `webhook_config` automatically use the default webhook.
+
+#### Job Status Polling (Without Webhooks)
+
+If you prefer polling instead of webhooks, just omit `webhook_config`:
+
+```bash
+# Submit job
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{"urls": ["https://example.com"]}'
+# Response: {"task_id": "crawl_xyz"}
+
+# Poll for status
+curl http://localhost:11235/crawl/job/crawl_xyz
+```
+
+The response includes `status` field: `"processing"`, `"completed"`, or `"failed"`.
+
+> 💡 **Pro tip**: See [WEBHOOK_EXAMPLES.md](./WEBHOOK_EXAMPLES.md) for detailed examples including TypeScript client code, Flask webhook handlers, and failure handling.
+
 ---
 
 ## Metrics & Monitoring
@@ -692,8 +831,7 @@ app:
 # Default LLM Configuration
 llm:
   provider: "openai/gpt-4o-mini"  # Can be overridden by LLM_PROVIDER env var
-  api_key_env: "OPENAI_API_KEY"
-  # api_key: sk-...  # If you pass the API key directly then api_key_env will be ignored
+  # api_key: sk-...  # If you pass the API key directly (not recommended)
 
 # Redis Configuration (Used by internal Redis server managed by supervisord)
 redis:
@@ -827,10 +965,11 @@ We're here to help you succeed with Crawl4AI! Here's how to get support:
 
 In this guide, we've covered everything you need to get started with Crawl4AI's Docker deployment:
 - Building and running the Docker container
-- Configuring the environment  
+- Configuring the environment
 - Using the interactive playground for testing
 - Making API requests with proper typing
 - Using the Python SDK
+- Asynchronous job queues with webhook notifications
 - Leveraging specialized endpoints for screenshots, PDFs, and JavaScript execution
 - Connecting via the Model Context Protocol (MCP)
 - Monitoring your deployment
diff --git a/deploy/docker/WEBHOOK_EXAMPLES.md b/deploy/docker/WEBHOOK_EXAMPLES.md
new file mode 100644
index 00000000..190efb18
--- /dev/null
+++ b/deploy/docker/WEBHOOK_EXAMPLES.md
@@ -0,0 +1,378 @@
+# Webhook Feature Examples
+
+This document provides examples of how to use the webhook feature for crawl jobs in Crawl4AI.
+
+## Overview
+
+The webhook feature allows you to receive notifications when crawl jobs complete, eliminating the need for polling. Webhooks are sent with exponential backoff retry logic to ensure reliable delivery.
+
+## Configuration
+
+### Global Configuration (config.yml)
+
+You can configure default webhook settings in `config.yml`:
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: null  # Optional: default webhook URL for all jobs
+  data_in_payload: false  # Optional: default behavior for including data
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000  # 1s, 2s, 4s, 8s, 16s exponential backoff
+    max_delay_ms: 32000
+    timeout_ms: 30000  # 30s timeout per webhook call
+  headers:  # Optional: default headers to include
+    User-Agent: "Crawl4AI-Webhook/1.0"
+```
+
+## API Usage Examples
+
+### Example 1: Basic Webhook (Notification Only)
+
+Send a webhook notification without including the crawl data in the payload.
+
+**Request:**
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false
+    }
+  }'
+```
+
+**Response:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4"
+}
+```
+
+**Webhook Payload Received:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4",
+  "task_type": "crawl",
+  "status": "completed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com"]
+}
+```
+
+Your webhook handler should then fetch the results:
+```bash
+curl http://localhost:11235/crawl/job/crawl_a1b2c3d4
+```
+
+### Example 2: Webhook with Data Included
+
+Include the full crawl results in the webhook payload.
+
+**Request:**
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+**Webhook Payload Received:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4",
+  "task_type": "crawl",
+  "status": "completed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "data": {
+    "markdown": "...",
+    "html": "...",
+    "links": {...},
+    "metadata": {...}
+  }
+}
+```
+
+### Example 3: Webhook with Custom Headers
+
+Include custom headers for authentication or identification.
+
+**Request:**
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false,
+      "webhook_headers": {
+        "X-Webhook-Secret": "my-secret-token",
+        "X-Service-ID": "crawl4ai-production"
+      }
+    }
+  }'
+```
+
+The webhook will be sent with these additional headers plus the default headers from config.
+
+### Example 4: Failure Notification
+
+When a crawl job fails, a webhook is sent with error details.
+
+**Webhook Payload on Failure:**
+```json
+{
+  "task_id": "crawl_a1b2c3d4",
+  "task_type": "crawl",
+  "status": "failed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "error": "Connection timeout after 30s"
+}
+```
+
+### Example 5: Using Global Default Webhook
+
+If you set a `default_url` in config.yml, jobs without webhook_config will use it:
+
+**config.yml:**
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"
+  data_in_payload: false
+```
+
+**Request (no webhook_config needed):**
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"]
+  }'
+```
+
+The webhook will be sent to the default URL configured in config.yml.
+
+### Example 6: LLM Extraction Job with Webhook
+
+Use webhooks with the LLM extraction endpoint for asynchronous processing.
+
+**Request:**
+```bash
+curl -X POST http://localhost:11235/llm/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "url": "https://example.com/article",
+    "q": "Extract the article title, author, and publication date",
+    "schema": "{\"type\": \"object\", \"properties\": {\"title\": {\"type\": \"string\"}, \"author\": {\"type\": \"string\"}, \"date\": {\"type\": \"string\"}}}",
+    "cache": false,
+    "provider": "openai/gpt-4o-mini",
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/llm-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+**Response:**
+```json
+{
+  "task_id": "llm_1698765432_12345"
+}
+```
+
+**Webhook Payload Received:**
+```json
+{
+  "task_id": "llm_1698765432_12345",
+  "task_type": "llm_extraction",
+  "status": "completed",
+  "timestamp": "2025-10-21T10:30:00.000000+00:00",
+  "urls": ["https://example.com/article"],
+  "data": {
+    "extracted_content": {
+      "title": "Understanding Web Scraping",
+      "author": "John Doe",
+      "date": "2025-10-21"
+    }
+  }
+}
+```
+
+## Webhook Handler Example
+
+Here's a simple Python Flask webhook handler that supports both crawl and LLM extraction jobs:
+
+```python
+from flask import Flask, request, jsonify
+import requests
+
+app = Flask(__name__)
+
+@app.route('/webhooks/crawl-complete', methods=['POST'])
+def handle_crawl_webhook():
+    payload = request.json
+
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    if status == 'completed':
+        # If data not in payload, fetch it
+        if 'data' not in payload:
+            # Determine endpoint based on task type
+            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
+            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
+            data = response.json()
+        else:
+            data = payload['data']
+
+        # Process based on task type
+        if task_type == 'crawl':
+            print(f"Processing crawl results for {task_id}")
+            # Handle crawl results
+            results = data.get('results', [])
+            for result in results:
+                print(f"  - {result.get('url')}: {len(result.get('markdown', ''))} chars")
+
+        elif task_type == 'llm_extraction':
+            print(f"Processing LLM extraction for {task_id}")
+            # Handle LLM extraction
+            # Note: Webhook sends 'extracted_content', API returns 'result'
+            extracted = data.get('extracted_content', data.get('result', {}))
+            print(f"  - Extracted: {extracted}")
+
+        # Your business logic here...
+
+    elif status == 'failed':
+        error = payload.get('error', 'Unknown error')
+        print(f"{task_type} job {task_id} failed: {error}")
+        # Handle failure...
+
+    return jsonify({"status": "received"}), 200
+
+if __name__ == '__main__':
+    app.run(port=8080)
+```
+
+## Retry Logic
+
+The webhook delivery service uses exponential backoff retry logic:
+
+- **Attempts:** Up to 5 attempts by default
+- **Delays:** 1s → 2s → 4s → 8s → 16s
+- **Timeout:** 30 seconds per attempt
+- **Retry Conditions:**
+  - Server errors (5xx status codes)
+  - Network errors
+  - Timeouts
+- **No Retry:**
+  - Client errors (4xx status codes)
+  - Successful delivery (2xx status codes)
+
+## Benefits
+
+1. **No Polling Required** - Eliminates constant API calls to check job status
+2. **Real-time Notifications** - Immediate notification when jobs complete
+3. **Reliable Delivery** - Exponential backoff ensures webhooks are delivered
+4. **Flexible** - Choose between notification-only or full data delivery
+5. **Secure** - Support for custom headers for authentication
+6. **Configurable** - Global defaults or per-job configuration
+7. **Universal Support** - Works with both `/crawl/job` and `/llm/job` endpoints
+
+## TypeScript Client Example
+
+```typescript
+interface WebhookConfig {
+  webhook_url: string;
+  webhook_data_in_payload?: boolean;
+  webhook_headers?: Record<string, string>;
+}
+
+interface CrawlJobRequest {
+  urls: string[];
+  browser_config?: Record<string, any>;
+  crawler_config?: Record<string, any>;
+  webhook_config?: WebhookConfig;
+}
+
+interface LLMJobRequest {
+  url: string;
+  q: string;
+  schema?: string;
+  cache?: boolean;
+  provider?: string;
+  webhook_config?: WebhookConfig;
+}
+
+async function createCrawlJob(request: CrawlJobRequest) {
+  const response = await fetch('http://localhost:11235/crawl/job', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify(request)
+  });
+
+  const { task_id } = await response.json();
+  return task_id;
+}
+
+async function createLLMJob(request: LLMJobRequest) {
+  const response = await fetch('http://localhost:11235/llm/job', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify(request)
+  });
+
+  const { task_id } = await response.json();
+  return task_id;
+}
+
+// Usage - Crawl Job
+const crawlTaskId = await createCrawlJob({
+  urls: ['https://example.com'],
+  webhook_config: {
+    webhook_url: 'https://myapp.com/webhooks/crawl-complete',
+    webhook_data_in_payload: false,
+    webhook_headers: {
+      'X-Webhook-Secret': 'my-secret'
+    }
+  }
+});
+
+// Usage - LLM Extraction Job
+const llmTaskId = await createLLMJob({
+  url: 'https://example.com/article',
+  q: 'Extract the main points from this article',
+  provider: 'openai/gpt-4o-mini',
+  webhook_config: {
+    webhook_url: 'https://myapp.com/webhooks/llm-complete',
+    webhook_data_in_payload: true,
+    webhook_headers: {
+      'X-Webhook-Secret': 'my-secret'
+    }
+  }
+});
+```
+
+## Monitoring and Debugging
+
+Webhook delivery attempts are logged at INFO level:
+- Successful deliveries
+- Retry attempts with delays
+- Final failures after max attempts
+
+Check the application logs for webhook delivery status:
+```bash
+docker logs crawl4ai-container | grep -i webhook
+```
diff --git a/deploy/docker/api.py b/deploy/docker/api.py
index 58d8c01f..27cfbfef 100644
--- a/deploy/docker/api.py
+++ b/deploy/docker/api.py
@@ -4,7 +4,7 @@ import asyncio
 from typing import List, Tuple, Dict
 from functools import partial
 from uuid import uuid4
-from datetime import datetime
+from datetime import datetime, timezone
 from base64 import b64encode
 
 import logging
@@ -42,8 +42,11 @@ from utils import (
     should_cleanup_task,
     decode_redis_hash,
     get_llm_api_key,
-    validate_llm_provider
+    validate_llm_provider,
+    get_llm_temperature,
+    get_llm_base_url
 )
+from webhook import WebhookDeliveryService
 
 import psutil, time
 
@@ -96,7 +99,9 @@ async def handle_llm_qa(
         response = perform_completion_with_backoff(
             provider=config["llm"]["provider"],
             prompt_with_variables=prompt,
-            api_token=get_llm_api_key(config)
+            api_token=get_llm_api_key(config),  # Returns None to let litellm handle it
+            temperature=get_llm_temperature(config),
+            base_url=get_llm_base_url(config)
         )
 
         return response.choices[0].message.content
@@ -115,9 +120,15 @@ async def process_llm_extraction(
     instruction: str,
     schema: Optional[str] = None,
     cache: str = "0",
-    provider: Optional[str] = None
+    provider: Optional[str] = None,
+    webhook_config: Optional[Dict] = None,
+    temperature: Optional[float] = None,
+    base_url: Optional[str] = None
 ) -> None:
     """Process LLM extraction in background."""
+    # Initialize webhook service
+    webhook_service = WebhookDeliveryService(config)
+
     try:
         # Validate provider
         is_valid, error_msg = validate_llm_provider(config, provider)
@@ -126,12 +137,24 @@ async def process_llm_extraction(
                 "status": TaskStatus.FAILED,
                 "error": error_msg
             })
+
+            # Send webhook notification on failure
+            await webhook_service.notify_job_completion(
+                task_id=task_id,
+                task_type="llm_extraction",
+                status="failed",
+                urls=[url],
+                webhook_config=webhook_config,
+                error=error_msg
+            )
             return
-        api_key = get_llm_api_key(config, provider)
+        api_key = get_llm_api_key(config, provider)  # Returns None to let litellm handle it
         llm_strategy = LLMExtractionStrategy(
             llm_config=LLMConfig(
                 provider=provider or config["llm"]["provider"],
-                api_token=api_key
+                api_token=api_key,
+                temperature=temperature or get_llm_temperature(config, provider),
+                base_url=base_url or get_llm_base_url(config, provider)
             ),
             instruction=instruction,
             schema=json.loads(schema) if schema else None,
@@ -154,17 +177,40 @@ async def process_llm_extraction(
                 "status": TaskStatus.FAILED,
                 "error": result.error_message
             })
+
+            # Send webhook notification on failure
+            await webhook_service.notify_job_completion(
+                task_id=task_id,
+                task_type="llm_extraction",
+                status="failed",
+                urls=[url],
+                webhook_config=webhook_config,
+                error=result.error_message
+            )
             return
 
         try:
             content = json.loads(result.extracted_content)
         except json.JSONDecodeError:
             content = result.extracted_content
+
+        result_data = {"extracted_content": content}
+
         await redis.hset(f"task:{task_id}", mapping={
             "status": TaskStatus.COMPLETED,
             "result": json.dumps(content)
         })
 
+        # Send webhook notification on successful completion
+        await webhook_service.notify_job_completion(
+            task_id=task_id,
+            task_type="llm_extraction",
+            status="completed",
+            urls=[url],
+            webhook_config=webhook_config,
+            result=result_data
+        )
+
     except Exception as e:
         logger.error(f"LLM extraction error: {str(e)}", exc_info=True)
         await redis.hset(f"task:{task_id}", mapping={
@@ -172,13 +218,25 @@ async def process_llm_extraction(
             "error": str(e)
         })
 
+        # Send webhook notification on failure
+        await webhook_service.notify_job_completion(
+            task_id=task_id,
+            task_type="llm_extraction",
+            status="failed",
+            urls=[url],
+            webhook_config=webhook_config,
+            error=str(e)
+        )
+
 async def handle_markdown_request(
     url: str,
     filter_type: FilterType,
     query: Optional[str] = None,
     cache: str = "0",
     config: Optional[dict] = None,
-    provider: Optional[str] = None
+    provider: Optional[str] = None,
+    temperature: Optional[float] = None,
+    base_url: Optional[str] = None
 ) -> str:
     """Handle markdown generation requests."""
     try:
@@ -203,7 +261,9 @@ async def handle_markdown_request(
                 FilterType.LLM: LLMContentFilter(
                     llm_config=LLMConfig(
                         provider=provider or config["llm"]["provider"],
-                        api_token=get_llm_api_key(config, provider),
+                        api_token=get_llm_api_key(config, provider),  # Returns None to let litellm handle it
+                        temperature=temperature or get_llm_temperature(config, provider),
+                        base_url=base_url or get_llm_base_url(config, provider)
                     ),
                     instruction=query or "Extract main content"
                 )
@@ -248,7 +308,10 @@ async def handle_llm_request(
     schema: Optional[str] = None,
     cache: str = "0",
     config: Optional[dict] = None,
-    provider: Optional[str] = None
+    provider: Optional[str] = None,
+    webhook_config: Optional[Dict] = None,
+    temperature: Optional[float] = None,
+    api_base_url: Optional[str] = None
 ) -> JSONResponse:
     """Handle LLM extraction requests."""
     base_url = get_base_url(request)
@@ -279,7 +342,10 @@ async def handle_llm_request(
             cache,
             base_url,
             config,
-            provider
+            provider,
+            webhook_config,
+            temperature,
+            api_base_url
         )
 
     except Exception as e:
@@ -324,7 +390,10 @@ async def create_new_task(
     cache: str,
     base_url: str,
     config: dict,
-    provider: Optional[str] = None
+    provider: Optional[str] = None,
+    webhook_config: Optional[Dict] = None,
+    temperature: Optional[float] = None,
+    api_base_url: Optional[str] = None
 ) -> JSONResponse:
     """Create and initialize a new task."""
     decoded_url = unquote(input_path)
@@ -333,12 +402,18 @@ async def create_new_task(
 
     from datetime import datetime
     task_id = f"llm_{int(datetime.now().timestamp())}_{id(background_tasks)}"
-    
-    await redis.hset(f"task:{task_id}", mapping={
+
+    task_data = {
         "status": TaskStatus.PROCESSING,
         "created_at": datetime.now().isoformat(),
         "url": decoded_url
-    })
+    }
+
+    # Store webhook config if provided
+    if webhook_config:
+        task_data["webhook_config"] = json.dumps(webhook_config)
+
+    await redis.hset(f"task:{task_id}", mapping=task_data)
 
     background_tasks.add_task(
         process_llm_extraction,
@@ -349,7 +424,10 @@ async def create_new_task(
         query,
         schema,
         cache,
-        provider
+        provider,
+        webhook_config,
+        temperature,
+        api_base_url
     )
 
     return JSONResponse({
@@ -393,6 +471,9 @@ async def stream_results(crawler: AsyncWebCrawler, results_gen: AsyncGenerator)
                 server_memory_mb = _get_memory_mb()
                 result_dict = result.model_dump()
                 result_dict['server_memory_mb'] = server_memory_mb
+                # Ensure fit_html is JSON-serializable
+                if "fit_html" in result_dict and not (result_dict["fit_html"] is None or isinstance(result_dict["fit_html"], str)):
+                    result_dict["fit_html"] = None
                 # If PDF exists, encode it to base64
                 if result_dict.get('pdf') is not None:
                     result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
@@ -419,13 +500,15 @@ async def handle_crawl_request(
     urls: List[str],
     browser_config: dict,
     crawler_config: dict,
-    config: dict
+    config: dict,
+    hooks_config: Optional[dict] = None
 ) -> dict:
-    """Handle non-streaming crawl requests."""
+    """Handle non-streaming crawl requests with optional hooks."""
     start_mem_mb = _get_memory_mb() # <--- Get memory before
     start_time = time.time()
     mem_delta_mb = None
     peak_mem_mb = start_mem_mb
+    hook_manager = None
     
     try:
         urls = [('https://' + url) if not url.startswith(('http://', 'https://')) and not url.startswith(("raw:", "raw://")) else url for url in urls]
@@ -445,11 +528,27 @@ async def handle_crawl_request(
         # crawler: AsyncWebCrawler = AsyncWebCrawler(config=browser_config)
         # await crawler.start()
         
+        # Attach hooks if provided
+        hooks_status = {}
+        if hooks_config:
+            from hook_manager import attach_user_hooks_to_crawler, UserHookManager
+            hook_manager = UserHookManager(timeout=hooks_config.get('timeout', 30))
+            hooks_status, hook_manager = await attach_user_hooks_to_crawler(
+                crawler,
+                hooks_config.get('code', {}),
+                timeout=hooks_config.get('timeout', 30),
+                hook_manager=hook_manager
+            )
+            logger.info(f"Hooks attachment status: {hooks_status['status']}")
+        
         base_config = config["crawler"]["base_config"]
-        # Iterate on key-value pairs in global_config then use haseattr to set them 
+        # Iterate on key-value pairs in global_config then use hasattr to set them
         for key, value in base_config.items():
             if hasattr(crawler_config, key):
-                setattr(crawler_config, key, value)
+                current_value = getattr(crawler_config, key)
+                # Only set base config if user didn't provide a value
+                if current_value is None or current_value == "":
+                    setattr(crawler_config, key, value)
 
         results = []
         func = getattr(crawler, "arun" if len(urls) == 1 else "arun_many")
@@ -458,6 +557,10 @@ async def handle_crawl_request(
                                 config=crawler_config, 
                                 dispatcher=dispatcher)
         results = await partial_func()
+        
+        # Ensure results is always a list
+        if not isinstance(results, list):
+            results = [results]
 
         # await crawler.close()
         
@@ -472,19 +575,71 @@ async def handle_crawl_request(
         # Process results to handle PDF bytes
         processed_results = []
         for result in results:
-            result_dict = result.model_dump()
-            # If PDF exists, encode it to base64
-            if result_dict.get('pdf') is not None:
-                result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
-            processed_results.append(result_dict)
+            try:
+                # Check if result has model_dump method (is a proper CrawlResult)
+                if hasattr(result, 'model_dump'):
+                    result_dict = result.model_dump()
+                elif isinstance(result, dict):
+                    result_dict = result
+                else:
+                    # Handle unexpected result type
+                    logger.warning(f"Unexpected result type: {type(result)}")
+                    result_dict = {
+                        "url": str(result) if hasattr(result, '__str__') else "unknown",
+                        "success": False,
+                        "error_message": f"Unexpected result type: {type(result).__name__}"
+                    }
+                
+                # if fit_html is not a string, set it to None to avoid serialization errors
+                if "fit_html" in result_dict and not (result_dict["fit_html"] is None or isinstance(result_dict["fit_html"], str)):
+                    result_dict["fit_html"] = None
+                    
+                # If PDF exists, encode it to base64
+                if result_dict.get('pdf') is not None and isinstance(result_dict.get('pdf'), bytes):
+                    result_dict['pdf'] = b64encode(result_dict['pdf']).decode('utf-8')
+                    
+                processed_results.append(result_dict)
+            except Exception as e:
+                logger.error(f"Error processing result: {e}")
+                processed_results.append({
+                    "url": "unknown",
+                    "success": False,
+                    "error_message": str(e)
+                })
             
-        return {
+        response = {
             "success": True,
             "results": processed_results,
             "server_processing_time_s": end_time - start_time,
             "server_memory_delta_mb": mem_delta_mb,
             "server_peak_memory_mb": peak_mem_mb
         }
+        
+        # Add hooks information if hooks were used
+        if hooks_config and hook_manager:
+            from hook_manager import UserHookManager
+            if isinstance(hook_manager, UserHookManager):
+                try:
+                    # Ensure all hook data is JSON serializable
+                    hook_data = {
+                        "status": hooks_status,
+                        "execution_log": hook_manager.execution_log,
+                        "errors": hook_manager.errors,
+                        "summary": hook_manager.get_summary()
+                    }
+                    # Test that it's serializable
+                    json.dumps(hook_data)
+                    response["hooks"] = hook_data
+                except (TypeError, ValueError) as e:
+                    logger.error(f"Hook data not JSON serializable: {e}")
+                    response["hooks"] = {
+                        "status": {"status": "error", "message": "Hook data serialization failed"},
+                        "execution_log": [],
+                        "errors": [{"error": str(e)}],
+                        "summary": {}
+                    }
+        
+        return response
 
     except Exception as e:
         logger.error(f"Crawl error: {str(e)}", exc_info=True)
@@ -513,9 +668,11 @@ async def handle_stream_crawl_request(
     urls: List[str],
     browser_config: dict,
     crawler_config: dict,
-    config: dict
-) -> Tuple[AsyncWebCrawler, AsyncGenerator]:
-    """Handle streaming crawl requests."""
+    config: dict,
+    hooks_config: Optional[dict] = None
+) -> Tuple[AsyncWebCrawler, AsyncGenerator, Optional[Dict]]:
+    """Handle streaming crawl requests with optional hooks."""
+    hooks_info = None
     try:
         browser_config = BrowserConfig.load(browser_config)
         # browser_config.verbose = True # Set to False or remove for production stress testing
@@ -536,6 +693,20 @@ async def handle_stream_crawl_request(
 
         # crawler = AsyncWebCrawler(config=browser_config)
         # await crawler.start()
+        
+        # Attach hooks if provided
+        if hooks_config:
+            from hook_manager import attach_user_hooks_to_crawler, UserHookManager
+            hook_manager = UserHookManager(timeout=hooks_config.get('timeout', 30))
+            hooks_status, hook_manager = await attach_user_hooks_to_crawler(
+                crawler,
+                hooks_config.get('code', {}),
+                timeout=hooks_config.get('timeout', 30),
+                hook_manager=hook_manager
+            )
+            logger.info(f"Hooks attachment status for streaming: {hooks_status['status']}")
+            # Include hook manager in hooks_info for proper tracking
+            hooks_info = {'status': hooks_status, 'manager': hook_manager}
 
         results_gen = await crawler.arun_many(
             urls=urls,
@@ -543,7 +714,7 @@ async def handle_stream_crawl_request(
             dispatcher=dispatcher
         )
 
-        return crawler, results_gen
+        return crawler, results_gen, hooks_info
 
     except Exception as e:
         # Make sure to close crawler if started during an error here
@@ -567,6 +738,7 @@ async def handle_crawl_job(
     browser_config: Dict,
     crawler_config: Dict,
     config: Dict,
+    webhook_config: Optional[Dict] = None,
 ) -> Dict:
     """
     Fire-and-forget version of handle_crawl_request.
@@ -574,13 +746,24 @@ async def handle_crawl_job(
     lets /crawl/job/{task_id} polling fetch the result.
     """
     task_id = f"crawl_{uuid4().hex[:8]}"
-    await redis.hset(f"task:{task_id}", mapping={
+
+    # Store task data in Redis
+    task_data = {
         "status": TaskStatus.PROCESSING,         # <-- keep enum values consistent
-        "created_at": datetime.utcnow().isoformat(),
+        "created_at": datetime.now(timezone.utc).replace(tzinfo=None).isoformat(),
         "url": json.dumps(urls),                 # store list as JSON string
         "result": "",
         "error": "",
-    })
+    }
+
+    # Store webhook config if provided
+    if webhook_config:
+        task_data["webhook_config"] = json.dumps(webhook_config)
+
+    await redis.hset(f"task:{task_id}", mapping=task_data)
+
+    # Initialize webhook service
+    webhook_service = WebhookDeliveryService(config)
 
     async def _runner():
         try:
@@ -594,6 +777,17 @@ async def handle_crawl_job(
                 "status": TaskStatus.COMPLETED,
                 "result": json.dumps(result),
             })
+
+            # Send webhook notification on successful completion
+            await webhook_service.notify_job_completion(
+                task_id=task_id,
+                task_type="crawl",
+                status="completed",
+                urls=urls,
+                webhook_config=webhook_config,
+                result=result
+            )
+
             await asyncio.sleep(5)  # Give Redis time to process the update
         except Exception as exc:
             await redis.hset(f"task:{task_id}", mapping={
@@ -601,5 +795,15 @@ async def handle_crawl_job(
                 "error": str(exc),
             })
 
+            # Send webhook notification on failure
+            await webhook_service.notify_job_completion(
+                task_id=task_id,
+                task_type="crawl",
+                status="failed",
+                urls=urls,
+                webhook_config=webhook_config,
+                error=str(exc)
+            )
+
     background_tasks.add_task(_runner)
     return {"task_id": task_id}
\ No newline at end of file
diff --git a/deploy/docker/auth.py b/deploy/docker/auth.py
index f9e75d78..6fcef339 100644
--- a/deploy/docker/auth.py
+++ b/deploy/docker/auth.py
@@ -28,25 +28,43 @@ def create_access_token(data: dict, expires_delta: Optional[timedelta] = None) -
     signing_key = get_jwk_from_secret(SECRET_KEY)
     return instance.encode(to_encode, signing_key, alg='HS256')
 
-def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)) -> Dict:
+def verify_token(credentials: HTTPAuthorizationCredentials) -> Dict:
     """Verify the JWT token from the Authorization header."""
-
-    if credentials is None:
-        return None
+    
+    if not credentials or not credentials.credentials:
+        raise HTTPException(
+            status_code=401, 
+            detail="No token provided",
+            headers={"WWW-Authenticate": "Bearer"}
+        )
+    
     token = credentials.credentials
     verifying_key = get_jwk_from_secret(SECRET_KEY)
     try:
         payload = instance.decode(token, verifying_key, do_time_check=True, algorithms='HS256')
         return payload
-    except Exception:
-        raise HTTPException(status_code=401, detail="Invalid or expired token")
+    except Exception as e:
+        raise HTTPException(
+            status_code=401, 
+            detail=f"Invalid or expired token: {str(e)}",
+            headers={"WWW-Authenticate": "Bearer"}
+        )
 
 
 def get_token_dependency(config: Dict):
     """Return the token dependency if JWT is enabled, else a function that returns None."""
-
+    
     if config.get("security", {}).get("jwt_enabled", False):
-        return verify_token
+        def jwt_required(credentials: HTTPAuthorizationCredentials = Depends(security)) -> Dict:
+            """Enforce JWT authentication when enabled."""
+            if credentials is None:
+                raise HTTPException(
+                    status_code=401, 
+                    detail="Authentication required. Please provide a valid Bearer token.",
+                    headers={"WWW-Authenticate": "Bearer"}
+                )
+            return verify_token(credentials)
+        return jwt_required
     else:
         return lambda: None
 
diff --git a/deploy/docker/c4ai-code-context.md b/deploy/docker/c4ai-code-context.md
index eb29b94c..c18fbc78 100644
--- a/deploy/docker/c4ai-code-context.md
+++ b/deploy/docker/c4ai-code-context.md
@@ -7520,17 +7520,18 @@ class BrowserManager:
             )
             os.makedirs(browser_args["downloads_path"], exist_ok=True)
 
-        if self.config.proxy or self.config.proxy_config:
+        if self.config.proxy:
+            warnings.warn(
+                "BrowserConfig.proxy is deprecated and ignored. Use proxy_config instead.",
+                DeprecationWarning,
+            )
+        if self.config.proxy_config:
             from playwright.async_api import ProxySettings
 
-            proxy_settings = (
-                ProxySettings(server=self.config.proxy)
-                if self.config.proxy
-                else ProxySettings(
-                    server=self.config.proxy_config.server,
-                    username=self.config.proxy_config.username,
-                    password=self.config.proxy_config.password,
-                )
+            proxy_settings = ProxySettings(
+                server=self.config.proxy_config.server,
+                username=self.config.proxy_config.username,
+                password=self.config.proxy_config.password,
             )
             browser_args["proxy"] = proxy_settings
 
diff --git a/deploy/docker/c4ai-doc-context.md b/deploy/docker/c4ai-doc-context.md
index 74ad794f..abfd3637 100644
--- a/deploy/docker/c4ai-doc-context.md
+++ b/deploy/docker/c4ai-doc-context.md
@@ -2241,7 +2241,7 @@ docker build -t crawl4ai
 
 | Argument | Description | Default | Options |
 |----------|-------------|---------|----------|
-| PYTHON_VERSION | Python version | 3.10 | 3.8, 3.9, 3.10 |
+| PYTHON_VERSION | Python version | 3.10 | 3.10, 3.11, 3.12, 3.13 |
 | INSTALL_TYPE | Feature set | default | default, all, torch, transformer |
 | ENABLE_GPU | GPU support | false | true, false |
 | APP_HOME | Install path | /app | any valid path |
diff --git a/deploy/docker/config.yml b/deploy/docker/config.yml
index c81badc4..22878b59 100644
--- a/deploy/docker/config.yml
+++ b/deploy/docker/config.yml
@@ -11,8 +11,7 @@ app:
 # Default LLM Configuration
 llm:
   provider: "openai/gpt-4o-mini"
-  api_key_env: "OPENAI_API_KEY"
-  # api_key: sk-...  # If you pass the API key directly then api_key_env will be ignored
+  # api_key: sk-...  # If you pass the API key directly (not recommended)
 
 # Redis Configuration
 redis:
@@ -39,8 +38,8 @@ rate_limiting:
 
 # Security Configuration
 security:
-  enabled: false 
-  jwt_enabled: false 
+  enabled: false
+  jwt_enabled: false
   https_redirect: false
   trusted_hosts: ["*"]
   headers:
@@ -88,4 +87,17 @@ observability:
     enabled: True
     endpoint: "/metrics"
   health_check:
-    endpoint: "/health"
\ No newline at end of file
+    endpoint: "/health"
+
+# Webhook Configuration
+webhooks:
+  enabled: true
+  default_url: null  # Optional: default webhook URL for all jobs
+  data_in_payload: false  # Optional: default behavior for including data
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000  # 1s, 2s, 4s, 8s, 16s exponential backoff
+    max_delay_ms: 32000
+    timeout_ms: 30000  # 30s timeout per webhook call
+  headers:  # Optional: default headers to include
+    User-Agent: "Crawl4AI-Webhook/1.0"
\ No newline at end of file
diff --git a/deploy/docker/hook_manager.py b/deploy/docker/hook_manager.py
new file mode 100644
index 00000000..41c4f25d
--- /dev/null
+++ b/deploy/docker/hook_manager.py
@@ -0,0 +1,512 @@
+"""
+Hook Manager for User-Provided Hook Functions
+Handles validation, compilation, and safe execution of user-provided hook code
+"""
+
+import ast
+import asyncio
+import traceback
+from typing import Dict, Callable, Optional, Tuple, List, Any
+import logging
+
+logger = logging.getLogger(__name__)
+
+
+class UserHookManager:
+    """Manages user-provided hook functions with error isolation"""
+    
+    # Expected signatures for each hook point
+    HOOK_SIGNATURES = {
+        "on_browser_created": ["browser"],
+        "on_page_context_created": ["page", "context"],
+        "before_goto": ["page", "context", "url"],
+        "after_goto": ["page", "context", "url", "response"],
+        "on_user_agent_updated": ["page", "context", "user_agent"],
+        "on_execution_started": ["page", "context"],
+        "before_retrieve_html": ["page", "context"],
+        "before_return_html": ["page", "context", "html"]
+    }
+    
+    # Default timeout for hook execution (in seconds)
+    DEFAULT_TIMEOUT = 30
+    
+    def __init__(self, timeout: int = DEFAULT_TIMEOUT):
+        self.timeout = timeout
+        self.errors: List[Dict[str, Any]] = []
+        self.compiled_hooks: Dict[str, Callable] = {}
+        self.execution_log: List[Dict[str, Any]] = []
+    
+    def validate_hook_structure(self, hook_code: str, hook_point: str) -> Tuple[bool, str]:
+        """
+        Validate the structure of user-provided hook code
+        
+        Args:
+            hook_code: The Python code string containing the hook function
+            hook_point: The hook point name (e.g., 'on_page_context_created')
+            
+        Returns:
+            Tuple of (is_valid, error_message)
+        """
+        try:
+            # Parse the code
+            tree = ast.parse(hook_code)
+            
+            # Check if it's empty
+            if not tree.body:
+                return False, "Hook code is empty"
+            
+            # Find the function definition
+            func_def = None
+            for node in tree.body:
+                if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
+                    func_def = node
+                    break
+            
+            if not func_def:
+                return False, "Hook must contain a function definition (def or async def)"
+            
+            # Check if it's async (all hooks should be async)
+            if not isinstance(func_def, ast.AsyncFunctionDef):
+                return False, f"Hook function must be async (use 'async def' instead of 'def')"
+            
+            # Get function name for better error messages
+            func_name = func_def.name
+            
+            # Validate parameters
+            expected_params = self.HOOK_SIGNATURES.get(hook_point, [])
+            if not expected_params:
+                return False, f"Unknown hook point: {hook_point}"
+            
+            func_params = [arg.arg for arg in func_def.args.args]
+            
+            # Check if it has **kwargs for flexibility
+            has_kwargs = func_def.args.kwarg is not None
+            
+            # Must have at least the expected parameters
+            missing_params = []
+            for expected in expected_params:
+                if expected not in func_params:
+                    missing_params.append(expected)
+            
+            if missing_params and not has_kwargs:
+                return False, f"Hook function '{func_name}' must accept parameters: {', '.join(expected_params)} (missing: {', '.join(missing_params)})"
+            
+            # Check if it returns something (should return page or browser)
+            has_return = any(isinstance(node, ast.Return) for node in ast.walk(func_def))
+            if not has_return:
+                # Warning, not error - we'll handle this
+                logger.warning(f"Hook function '{func_name}' should return the {expected_params[0]} object")
+            
+            return True, "Valid"
+            
+        except SyntaxError as e:
+            return False, f"Syntax error at line {e.lineno}: {str(e)}"
+        except Exception as e:
+            return False, f"Failed to parse hook code: {str(e)}"
+    
+    def compile_hook(self, hook_code: str, hook_point: str) -> Optional[Callable]:
+        """
+        Compile user-provided hook code into a callable function
+        
+        Args:
+            hook_code: The Python code string
+            hook_point: The hook point name
+            
+        Returns:
+            Compiled function or None if compilation failed
+        """
+        try:
+            # Create a safe namespace for the hook
+            # Use a more complete builtins that includes __import__
+            import builtins
+            safe_builtins = {}
+            
+            # Add safe built-in functions
+            allowed_builtins = [
+                'print', 'len', 'str', 'int', 'float', 'bool',
+                'list', 'dict', 'set', 'tuple', 'range', 'enumerate',
+                'zip', 'map', 'filter', 'any', 'all', 'sum', 'min', 'max',
+                'sorted', 'reversed', 'abs', 'round', 'isinstance', 'type',
+                'getattr', 'hasattr', 'setattr', 'callable', 'iter', 'next',
+                '__import__', '__build_class__'  # Required for exec
+            ]
+            
+            for name in allowed_builtins:
+                if hasattr(builtins, name):
+                    safe_builtins[name] = getattr(builtins, name)
+            
+            namespace = {
+                '__name__': f'user_hook_{hook_point}',
+                '__builtins__': safe_builtins
+            }
+            
+            # Add commonly needed imports
+            exec("import asyncio", namespace)
+            exec("import json", namespace)
+            exec("import re", namespace)
+            exec("from typing import Dict, List, Optional", namespace)
+            
+            # Execute the code to define the function
+            exec(hook_code, namespace)
+            
+            # Find the async function in the namespace
+            for name, obj in namespace.items():
+                if callable(obj) and not name.startswith('_') and asyncio.iscoroutinefunction(obj):
+                    return obj
+            
+            # If no async function found, look for any function
+            for name, obj in namespace.items():
+                if callable(obj) and not name.startswith('_'):
+                    logger.warning(f"Found non-async function '{name}' - wrapping it")
+                    # Wrap sync function in async
+                    async def async_wrapper(*args, **kwargs):
+                        return obj(*args, **kwargs)
+                    return async_wrapper
+            
+            raise ValueError("No callable function found in hook code")
+            
+        except Exception as e:
+            error = {
+                'hook_point': hook_point,
+                'error': f"Failed to compile hook: {str(e)}",
+                'type': 'compilation_error',
+                'traceback': traceback.format_exc()
+            }
+            self.errors.append(error)
+            logger.error(f"Hook compilation failed for {hook_point}: {str(e)}")
+            return None
+    
+    async def execute_hook_safely(
+        self, 
+        hook_func: Callable, 
+        hook_point: str,
+        *args, 
+        **kwargs
+    ) -> Tuple[Any, Optional[Dict]]:
+        """
+        Execute a user hook with error isolation and timeout
+        
+        Args:
+            hook_func: The compiled hook function
+            hook_point: The hook point name
+            *args, **kwargs: Arguments to pass to the hook
+            
+        Returns:
+            Tuple of (result, error_dict)
+        """
+        start_time = asyncio.get_event_loop().time()
+        
+        try:
+            # Add timeout to prevent infinite loops
+            result = await asyncio.wait_for(
+                hook_func(*args, **kwargs),
+                timeout=self.timeout
+            )
+            
+            # Log successful execution
+            execution_time = asyncio.get_event_loop().time() - start_time
+            self.execution_log.append({
+                'hook_point': hook_point,
+                'status': 'success',
+                'execution_time': execution_time,
+                'timestamp': start_time
+            })
+            
+            return result, None
+            
+        except asyncio.TimeoutError:
+            error = {
+                'hook_point': hook_point,
+                'error': f'Hook execution timed out ({self.timeout}s limit)',
+                'type': 'timeout',
+                'execution_time': self.timeout
+            }
+            self.errors.append(error)
+            self.execution_log.append({
+                'hook_point': hook_point,
+                'status': 'timeout',
+                'error': error['error'],
+                'execution_time': self.timeout,
+                'timestamp': start_time
+            })
+            # Return the first argument (usually page/browser) to continue
+            return args[0] if args else None, error
+            
+        except Exception as e:
+            execution_time = asyncio.get_event_loop().time() - start_time
+            error = {
+                'hook_point': hook_point,
+                'error': str(e),
+                'type': type(e).__name__,
+                'traceback': traceback.format_exc(),
+                'execution_time': execution_time
+            }
+            self.errors.append(error)
+            self.execution_log.append({
+                'hook_point': hook_point,
+                'status': 'failed',
+                'error': str(e),
+                'error_type': type(e).__name__,
+                'execution_time': execution_time,
+                'timestamp': start_time
+            })
+            # Return the first argument (usually page/browser) to continue
+            return args[0] if args else None, error
+    
+    def get_summary(self) -> Dict[str, Any]:
+        """Get a summary of hook execution"""
+        total_hooks = len(self.execution_log)
+        successful = sum(1 for log in self.execution_log if log['status'] == 'success')
+        failed = sum(1 for log in self.execution_log if log['status'] == 'failed')
+        timed_out = sum(1 for log in self.execution_log if log['status'] == 'timeout')
+        
+        return {
+            'total_executions': total_hooks,
+            'successful': successful,
+            'failed': failed,
+            'timed_out': timed_out,
+            'success_rate': (successful / total_hooks * 100) if total_hooks > 0 else 0,
+            'total_errors': len(self.errors)
+        }
+
+
+class IsolatedHookWrapper:
+    """Wraps user hooks with error isolation and reporting"""
+    
+    def __init__(self, hook_manager: UserHookManager):
+        self.hook_manager = hook_manager
+    
+    def create_hook_wrapper(self, user_hook: Callable, hook_point: str) -> Callable:
+        """
+        Create a wrapper that isolates hook errors from main process
+        
+        Args:
+            user_hook: The compiled user hook function
+            hook_point: The hook point name
+            
+        Returns:
+            Wrapped async function that handles errors gracefully
+        """
+        
+        async def wrapped_hook(*args, **kwargs):
+            """Wrapped hook with error isolation"""
+            # Get the main return object (page/browser)
+            # This ensures we always have something to return
+            return_obj = None
+            if args:
+                return_obj = args[0]
+            elif 'page' in kwargs:
+                return_obj = kwargs['page']
+            elif 'browser' in kwargs:
+                return_obj = kwargs['browser']
+            
+            try:
+                # Execute user hook with safety
+                result, error = await self.hook_manager.execute_hook_safely(
+                    user_hook, 
+                    hook_point,
+                    *args, 
+                    **kwargs
+                )
+                
+                if error:
+                    # Hook failed but we continue with original object
+                    logger.warning(f"User hook failed at {hook_point}: {error['error']}")
+                    return return_obj
+                
+                # Hook succeeded - return its result or the original object
+                if result is None:
+                    logger.debug(f"Hook at {hook_point} returned None, using original object")
+                    return return_obj
+                
+                return result
+                
+            except Exception as e:
+                # This should rarely happen due to execute_hook_safely
+                logger.error(f"Unexpected error in hook wrapper for {hook_point}: {e}")
+                return return_obj
+        
+        # Set function name for debugging
+        wrapped_hook.__name__ = f"wrapped_{hook_point}"
+        return wrapped_hook
+
+
+async def process_user_hooks(
+    hooks_input: Dict[str, str],
+    timeout: int = 30
+) -> Tuple[Dict[str, Callable], List[Dict], UserHookManager]:
+    """
+    Process and compile user-provided hook functions
+    
+    Args:
+        hooks_input: Dictionary mapping hook points to code strings
+        timeout: Timeout for each hook execution
+        
+    Returns:
+        Tuple of (compiled_hooks, validation_errors, hook_manager)
+    """
+    
+    hook_manager = UserHookManager(timeout=timeout)
+    wrapper = IsolatedHookWrapper(hook_manager)
+    compiled_hooks = {}
+    validation_errors = []
+    
+    for hook_point, hook_code in hooks_input.items():
+        # Skip empty hooks
+        if not hook_code or not hook_code.strip():
+            continue
+        
+        # Validate hook point
+        if hook_point not in UserHookManager.HOOK_SIGNATURES:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+            continue
+        
+        # Validate structure
+        is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
+        if not is_valid:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': message,
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+            continue
+        
+        # Compile the hook
+        hook_func = hook_manager.compile_hook(hook_code, hook_point)
+        if hook_func:
+            # Wrap with error isolation
+            wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
+            compiled_hooks[hook_point] = wrapped_hook
+            logger.info(f"Successfully compiled hook for {hook_point}")
+        else:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': 'Failed to compile hook function - check syntax and structure',
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+    
+    return compiled_hooks, validation_errors, hook_manager
+
+
+async def process_user_hooks_with_manager(
+    hooks_input: Dict[str, str],
+    hook_manager: UserHookManager
+) -> Tuple[Dict[str, Callable], List[Dict]]:
+    """
+    Process and compile user-provided hook functions with existing manager
+    
+    Args:
+        hooks_input: Dictionary mapping hook points to code strings
+        hook_manager: Existing UserHookManager instance
+        
+    Returns:
+        Tuple of (compiled_hooks, validation_errors)
+    """
+    
+    wrapper = IsolatedHookWrapper(hook_manager)
+    compiled_hooks = {}
+    validation_errors = []
+    
+    for hook_point, hook_code in hooks_input.items():
+        # Skip empty hooks
+        if not hook_code or not hook_code.strip():
+            continue
+        
+        # Validate hook point
+        if hook_point not in UserHookManager.HOOK_SIGNATURES:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': f'Unknown hook point. Valid points: {", ".join(UserHookManager.HOOK_SIGNATURES.keys())}',
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+            continue
+        
+        # Validate structure
+        is_valid, message = hook_manager.validate_hook_structure(hook_code, hook_point)
+        if not is_valid:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': message,
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+            continue
+        
+        # Compile the hook
+        hook_func = hook_manager.compile_hook(hook_code, hook_point)
+        if hook_func:
+            # Wrap with error isolation
+            wrapped_hook = wrapper.create_hook_wrapper(hook_func, hook_point)
+            compiled_hooks[hook_point] = wrapped_hook
+            logger.info(f"Successfully compiled hook for {hook_point}")
+        else:
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': 'Failed to compile hook function - check syntax and structure',
+                'code_preview': hook_code[:100] + '...' if len(hook_code) > 100 else hook_code
+            })
+    
+    return compiled_hooks, validation_errors
+
+
+async def attach_user_hooks_to_crawler(
+    crawler,  # AsyncWebCrawler instance
+    user_hooks: Dict[str, str],
+    timeout: int = 30,
+    hook_manager: Optional[UserHookManager] = None
+) -> Tuple[Dict[str, Any], UserHookManager]:
+    """
+    Attach user-provided hooks to crawler with full error reporting
+    
+    Args:
+        crawler: AsyncWebCrawler instance
+        user_hooks: Dictionary mapping hook points to code strings
+        timeout: Timeout for each hook execution
+        hook_manager: Optional existing UserHookManager instance
+        
+    Returns:
+        Tuple of (status_dict, hook_manager)
+    """
+    
+    # Use provided hook_manager or create a new one
+    if hook_manager is None:
+        hook_manager = UserHookManager(timeout=timeout)
+    
+    # Process hooks with the hook_manager
+    compiled_hooks, validation_errors = await process_user_hooks_with_manager(
+        user_hooks, hook_manager
+    )
+    
+    # Log validation errors
+    if validation_errors:
+        logger.warning(f"Hook validation errors: {validation_errors}")
+    
+    # Attach successfully compiled hooks
+    attached_hooks = []
+    for hook_point, wrapped_hook in compiled_hooks.items():
+        try:
+            crawler.crawler_strategy.set_hook(hook_point, wrapped_hook)
+            attached_hooks.append(hook_point)
+            logger.info(f"Attached hook to {hook_point}")
+        except Exception as e:
+            logger.error(f"Failed to attach hook to {hook_point}: {e}")
+            validation_errors.append({
+                'hook_point': hook_point,
+                'error': f'Failed to attach hook: {str(e)}'
+            })
+    
+    status = 'success' if not validation_errors else ('partial' if attached_hooks else 'failed')
+    
+    status_dict = {
+        'status': status,
+        'attached_hooks': attached_hooks,
+        'validation_errors': validation_errors,
+        'total_hooks_provided': len(user_hooks),
+        'successfully_attached': len(attached_hooks),
+        'failed_validation': len(validation_errors)
+    }
+    
+    return status_dict, hook_manager
\ No newline at end of file
diff --git a/deploy/docker/job.py b/deploy/docker/job.py
index 10d83fdd..8fae16cd 100644
--- a/deploy/docker/job.py
+++ b/deploy/docker/job.py
@@ -12,6 +12,7 @@ from api import (
     handle_crawl_job,
     handle_task_status,
 )
+from schemas import WebhookConfig
 
 # ------------- dependency placeholders -------------
 _redis = None        # will be injected from server.py
@@ -37,12 +38,16 @@ class LlmJobPayload(BaseModel):
     schema: Optional[str] = None
     cache:  bool = False
     provider: Optional[str] = None
+    webhook_config: Optional[WebhookConfig] = None
+    temperature: Optional[float] = None
+    base_url: Optional[str] = None
 
 
 class CrawlJobPayload(BaseModel):
     urls:           list[HttpUrl]
     browser_config: Dict = {}
     crawler_config: Dict = {}
+    webhook_config: Optional[WebhookConfig] = None
 
 
 # ---------- LL​M job ---------------------------------------------------------
@@ -53,6 +58,10 @@ async def llm_job_enqueue(
         request: Request,
         _td: Dict = Depends(lambda: _token_dep()),   # late-bound dep
 ):
+    webhook_config = None
+    if payload.webhook_config:
+        webhook_config = payload.webhook_config.model_dump(mode='json')
+
     return await handle_llm_request(
         _redis,
         background_tasks,
@@ -63,6 +72,9 @@ async def llm_job_enqueue(
         cache=payload.cache,
         config=_config,
         provider=payload.provider,
+        webhook_config=webhook_config,
+        temperature=payload.temperature,
+        api_base_url=payload.base_url,
     )
 
 
@@ -72,7 +84,7 @@ async def llm_job_status(
     task_id: str,
     _td: Dict = Depends(lambda: _token_dep())
 ):
-    return await handle_task_status(_redis, task_id)
+    return await handle_task_status(_redis, task_id, base_url=str(request.base_url))
 
 
 # ---------- CRAWL job -------------------------------------------------------
@@ -82,6 +94,10 @@ async def crawl_job_enqueue(
         background_tasks: BackgroundTasks,
         _td: Dict = Depends(lambda: _token_dep()),
 ):
+    webhook_config = None
+    if payload.webhook_config:
+        webhook_config = payload.webhook_config.model_dump(mode='json')
+
     return await handle_crawl_job(
         _redis,
         background_tasks,
@@ -89,6 +105,7 @@ async def crawl_job_enqueue(
         payload.browser_config,
         payload.crawler_config,
         config=_config,
+        webhook_config=webhook_config,
     )
 
 
diff --git a/deploy/docker/requirements.txt b/deploy/docker/requirements.txt
index d463c641..b33c081f 100644
--- a/deploy/docker/requirements.txt
+++ b/deploy/docker/requirements.txt
@@ -12,6 +12,6 @@ pydantic>=2.11
 rank-bm25==0.2.2
 anyio==4.9.0
 PyJWT==2.10.1
-mcp>=1.6.0
+mcp>=1.18.0
 websockets>=15.0.1
 httpx[http2]>=0.27.2
diff --git a/deploy/docker/schemas.py b/deploy/docker/schemas.py
index 96196633..21d47fc4 100644
--- a/deploy/docker/schemas.py
+++ b/deploy/docker/schemas.py
@@ -1,6 +1,6 @@
 from typing import List, Optional, Dict
 from enum import Enum
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, HttpUrl
 from utils import FilterType
 
 
@@ -9,6 +9,50 @@ class CrawlRequest(BaseModel):
     browser_config: Optional[Dict] = Field(default_factory=dict)
     crawler_config: Optional[Dict] = Field(default_factory=dict)
 
+
+class HookConfig(BaseModel):
+    """Configuration for user-provided hooks"""
+    code: Dict[str, str] = Field(
+        default_factory=dict,
+        description="Map of hook points to Python code strings"
+    )
+    timeout: int = Field(
+        default=30,
+        ge=1,
+        le=120,
+        description="Timeout in seconds for each hook execution"
+    )
+    
+    class Config:
+        schema_extra = {
+            "example": {
+                "code": {
+                    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Block images to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif}", lambda route: route.abort())
+    return page
+""",
+                    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Scroll to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(2000)
+    return page
+"""
+                },
+                "timeout": 30
+            }
+        }
+
+
+class CrawlRequestWithHooks(CrawlRequest):
+    """Extended crawl request with hooks support"""
+    hooks: Optional[HookConfig] = Field(
+        default=None,
+        description="Optional user-provided hook functions"
+    )
+
 class MarkdownRequest(BaseModel):
     """Request body for the /md endpoint."""
     url: str                    = Field(...,  description="Absolute http/https URL to fetch")
@@ -16,6 +60,8 @@ class MarkdownRequest(BaseModel):
     q:   Optional[str] = Field(None,  description="Query string used by BM25/LLM filters")
     c:   Optional[str] = Field("0",   description="Cache‑bust / revision counter")
     provider: Optional[str] = Field(None, description="LLM provider override (e.g., 'anthropic/claude-3-opus')")
+    temperature: Optional[float] = Field(None, description="LLM temperature override (0.0-2.0)")
+    base_url: Optional[str] = Field(None, description="LLM API base URL override")
 
 
 class RawCode(BaseModel):
@@ -39,4 +85,22 @@ class JSEndpointRequest(BaseModel):
     scripts: List[str] = Field(
         ...,
         description="List of separated JavaScript snippets to execute"
-    )
\ No newline at end of file
+    )
+
+
+class WebhookConfig(BaseModel):
+    """Configuration for webhook notifications."""
+    webhook_url: HttpUrl
+    webhook_data_in_payload: bool = False
+    webhook_headers: Optional[Dict[str, str]] = None
+
+
+class WebhookPayload(BaseModel):
+    """Payload sent to webhook endpoints."""
+    task_id: str
+    task_type: str  # "crawl", "llm_extraction", etc.
+    status: str  # "completed" or "failed"
+    timestamp: str  # ISO 8601 format
+    urls: List[str]
+    error: Optional[str] = None
+    data: Optional[Dict] = None  # Included only if webhook_data_in_payload=True
\ No newline at end of file
diff --git a/deploy/docker/server.py b/deploy/docker/server.py
index 57fd3d6d..101e8614 100644
--- a/deploy/docker/server.py
+++ b/deploy/docker/server.py
@@ -23,7 +23,7 @@ from api import (
     stream_results
 )
 from schemas import (
-    CrawlRequest,
+    CrawlRequestWithHooks,
     MarkdownRequest,
     RawCode,
     HTMLRequest,
@@ -241,7 +241,8 @@ async def get_markdown(
         raise HTTPException(
             400, "Invalid URL format. Must start with http://, https://, or for raw HTML (raw:, raw://)")
     markdown = await handle_markdown_request(
-        body.url, body.f, body.q, body.c, config, body.provider
+        body.url, body.f, body.q, body.c, config, body.provider,
+        body.temperature, body.base_url
     )
     return JSONResponse({
         "url": body.url,
@@ -266,12 +267,26 @@ async def generate_html(
     Use when you need sanitized HTML structures for building schemas or further processing.
     """
     cfg = CrawlerRunConfig()
-    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-        results = await crawler.arun(url=body.url, config=cfg)
-    raw_html = results[0].html
-    from crawl4ai.utils import preprocess_html_for_schema
-    processed_html = preprocess_html_for_schema(raw_html)
-    return JSONResponse({"html": processed_html, "url": body.url, "success": True})
+    try:
+        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
+            results = await crawler.arun(url=body.url, config=cfg)
+        # Check if the crawl was successful
+        if not results[0].success:
+            raise HTTPException(
+                status_code=500,
+                detail=results[0].error_message or "Crawl failed"
+            )
+        
+        raw_html = results[0].html
+        from crawl4ai.utils import preprocess_html_for_schema
+        processed_html = preprocess_html_for_schema(raw_html)
+        return JSONResponse({"html": processed_html, "url": body.url, "success": True})
+    except Exception as e:
+        # Log and raise as HTTP 500 for other exceptions
+        raise HTTPException(
+            status_code=500,
+            detail=str(e)
+        )
 
 # Screenshot endpoint
 
@@ -289,18 +304,29 @@ async def generate_screenshot(
     Use when you need an image snapshot of the rendered page. Its recommened to provide an output path to save the screenshot.
     Then in result instead of the screenshot you will get a path to the saved file.
     """
-    cfg = CrawlerRunConfig(
-        screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
-    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-        results = await crawler.arun(url=body.url, config=cfg)
-    screenshot_data = results[0].screenshot
-    if body.output_path:
-        abs_path = os.path.abspath(body.output_path)
-        os.makedirs(os.path.dirname(abs_path), exist_ok=True)
-        with open(abs_path, "wb") as f:
-            f.write(base64.b64decode(screenshot_data))
-        return {"success": True, "path": abs_path}
-    return {"success": True, "screenshot": screenshot_data}
+    try:
+        cfg = CrawlerRunConfig(
+            screenshot=True, screenshot_wait_for=body.screenshot_wait_for)
+        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
+            results = await crawler.arun(url=body.url, config=cfg)
+        if not results[0].success:
+            raise HTTPException(
+                status_code=500,
+                detail=results[0].error_message or "Crawl failed"
+            )
+        screenshot_data = results[0].screenshot
+        if body.output_path:
+            abs_path = os.path.abspath(body.output_path)
+            os.makedirs(os.path.dirname(abs_path), exist_ok=True)
+            with open(abs_path, "wb") as f:
+                f.write(base64.b64decode(screenshot_data))
+            return {"success": True, "path": abs_path}
+        return {"success": True, "screenshot": screenshot_data}
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=str(e)
+        )
 
 # PDF endpoint
 
@@ -318,17 +344,28 @@ async def generate_pdf(
     Use when you need a printable or archivable snapshot of the page. It is recommended to provide an output path to save the PDF.
     Then in result instead of the PDF you will get a path to the saved file.
     """
-    cfg = CrawlerRunConfig(pdf=True)
-    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-        results = await crawler.arun(url=body.url, config=cfg)
-    pdf_data = results[0].pdf
-    if body.output_path:
-        abs_path = os.path.abspath(body.output_path)
-        os.makedirs(os.path.dirname(abs_path), exist_ok=True)
-        with open(abs_path, "wb") as f:
-            f.write(pdf_data)
-        return {"success": True, "path": abs_path}
-    return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
+    try:
+        cfg = CrawlerRunConfig(pdf=True)
+        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
+            results = await crawler.arun(url=body.url, config=cfg)
+        if not results[0].success:
+            raise HTTPException(
+                status_code=500,
+                detail=results[0].error_message or "Crawl failed"
+            )
+        pdf_data = results[0].pdf
+        if body.output_path:
+            abs_path = os.path.abspath(body.output_path)
+            os.makedirs(os.path.dirname(abs_path), exist_ok=True)
+            with open(abs_path, "wb") as f:
+                f.write(pdf_data)
+            return {"success": True, "path": abs_path}
+        return {"success": True, "pdf": base64.b64encode(pdf_data).decode()}
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=str(e)
+        )
 
 
 @app.post("/execute_js")
@@ -384,12 +421,23 @@ async def execute_js(
         ```
 
     """
-    cfg = CrawlerRunConfig(js_code=body.scripts)
-    async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
-        results = await crawler.arun(url=body.url, config=cfg)
-    # Return JSON-serializable dict of the first CrawlResult
-    data = results[0].model_dump()
-    return JSONResponse(data)
+    try:
+        cfg = CrawlerRunConfig(js_code=body.scripts)
+        async with AsyncWebCrawler(config=BrowserConfig()) as crawler:
+            results = await crawler.arun(url=body.url, config=cfg)
+        if not results[0].success:
+            raise HTTPException(
+                status_code=500,
+                detail=results[0].error_message or "Crawl failed"
+            )
+        # Return JSON-serializable dict of the first CrawlResult
+        data = results[0].model_dump()
+        return JSONResponse(data)
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail=str(e)
+        )
 
 
 @app.get("/llm/{url:path}")
@@ -414,6 +462,72 @@ async def get_schema():
             "crawler": CrawlerRunConfig().dump()}
 
 
+@app.get("/hooks/info")
+async def get_hooks_info():
+    """Get information about available hook points and their signatures"""
+    from hook_manager import UserHookManager
+    
+    hook_info = {}
+    for hook_point, params in UserHookManager.HOOK_SIGNATURES.items():
+        hook_info[hook_point] = {
+            "parameters": params,
+            "description": get_hook_description(hook_point),
+            "example": get_hook_example(hook_point)
+        }
+    
+    return JSONResponse({
+        "available_hooks": hook_info,
+        "timeout_limits": {
+            "min": 1,
+            "max": 120,
+            "default": 30
+        }
+    })
+
+
+def get_hook_description(hook_point: str) -> str:
+    """Get description for each hook point"""
+    descriptions = {
+        "on_browser_created": "Called after browser instance is created",
+        "on_page_context_created": "Called after page and context are created - ideal for authentication",
+        "before_goto": "Called before navigating to the target URL",
+        "after_goto": "Called after navigation is complete",
+        "on_user_agent_updated": "Called when user agent is updated",
+        "on_execution_started": "Called when custom JavaScript execution begins",
+        "before_retrieve_html": "Called before retrieving the final HTML - ideal for scrolling",
+        "before_return_html": "Called just before returning the HTML content"
+    }
+    return descriptions.get(hook_point, "")
+
+
+def get_hook_example(hook_point: str) -> str:
+    """Get example code for each hook point"""
+    examples = {
+        "on_page_context_created": """async def hook(page, context, **kwargs):
+    # Add authentication cookie
+    await context.add_cookies([{
+        'name': 'session',
+        'value': 'my-session-id',
+        'domain': '.example.com'
+    }])
+    return page""",
+        
+        "before_retrieve_html": """async def hook(page, context, **kwargs):
+    # Scroll to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(2000)
+    return page""",
+        
+        "before_goto": """async def hook(page, context, url, **kwargs):
+    # Set custom headers
+    await page.set_extra_http_headers({
+        'X-Custom-Header': 'value'
+    })
+    return page"""
+    }
+    return examples.get(hook_point, "# Implement your hook logic here\nreturn page")
+
+
 @app.get(config["observability"]["health_check"]["endpoint"])
 async def health():
     return {"status": "ok", "timestamp": time.time(), "version": __version__}
@@ -429,46 +543,86 @@ async def metrics():
 @mcp_tool("crawl")
 async def crawl(
     request: Request,
-    crawl_request: CrawlRequest,
+    crawl_request: CrawlRequestWithHooks,
     _td: Dict = Depends(token_dep),
 ):
     """
     Crawl a list of URLs and return the results as JSON.
+    For streaming responses, use /crawl/stream endpoint.
+    Supports optional user-provided hook functions for customization.
     """
     if not crawl_request.urls:
         raise HTTPException(400, "At least one URL required")
-    res = await handle_crawl_request(
+    # Check whether it is a redirection for a streaming request
+    crawler_config = CrawlerRunConfig.load(crawl_request.crawler_config)
+    if crawler_config.stream:
+        return await stream_process(crawl_request=crawl_request)
+    
+    # Prepare hooks config if provided
+    hooks_config = None
+    if crawl_request.hooks:
+        hooks_config = {
+            'code': crawl_request.hooks.code,
+            'timeout': crawl_request.hooks.timeout
+        }
+    
+    results = await handle_crawl_request(
         urls=crawl_request.urls,
         browser_config=crawl_request.browser_config,
         crawler_config=crawl_request.crawler_config,
         config=config,
+        hooks_config=hooks_config
     )
-    return JSONResponse(res)
+    # check if all of the results are not successful
+    if all(not result["success"] for result in results["results"]):
+        raise HTTPException(500, f"Crawl request failed: {results['results'][0]['error_message']}")
+    return JSONResponse(results)
 
 
 @app.post("/crawl/stream")
 @limiter.limit(config["rate_limiting"]["default_limit"])
 async def crawl_stream(
     request: Request,
-    crawl_request: CrawlRequest,
+    crawl_request: CrawlRequestWithHooks,
     _td: Dict = Depends(token_dep),
 ):
     if not crawl_request.urls:
         raise HTTPException(400, "At least one URL required")
-    crawler, gen = await handle_stream_crawl_request(
+
+    return await stream_process(crawl_request=crawl_request)
+
+async def stream_process(crawl_request: CrawlRequestWithHooks):
+    
+    # Prepare hooks config if provided# Prepare hooks config if provided
+    hooks_config = None
+    if crawl_request.hooks:
+        hooks_config = {
+            'code': crawl_request.hooks.code,
+            'timeout': crawl_request.hooks.timeout
+        }
+    
+    crawler, gen, hooks_info = await handle_stream_crawl_request(
         urls=crawl_request.urls,
         browser_config=crawl_request.browser_config,
         crawler_config=crawl_request.crawler_config,
         config=config,
+        hooks_config=hooks_config
     )
+    
+    # Add hooks info to response headers if available
+    headers = {
+        "Cache-Control": "no-cache",
+        "Connection": "keep-alive",
+        "X-Stream-Status": "active",
+    }
+    if hooks_info:
+        import json
+        headers["X-Hooks-Status"] = json.dumps(hooks_info['status']['status'])
+    
     return StreamingResponse(
         stream_results(crawler, gen),
         media_type="application/x-ndjson",
-        headers={
-            "Cache-Control": "no-cache",
-            "Connection": "keep-alive",
-            "X-Stream-Status": "active",
-        },
+        headers=headers,
     )
 
 
diff --git a/deploy/docker/static/playground/index.html b/deploy/docker/static/playground/index.html
index e01fc857..553e6765 100644
--- a/deploy/docker/static/playground/index.html
+++ b/deploy/docker/static/playground/index.html
@@ -371,7 +371,7 @@
 
                 <div class="flex items-center">
                     <input id="st-stream" type="checkbox" class="mr-2">
-                    <label for="st-stream" class="text-sm">Use /crawl/stream</label>
+                    <label for="st-stream" class="text-sm">Enable streaming mode</label>
                     <button id="st-run"
                         class="ml-auto bg-accent text-dark px-4 py-2 rounded hover:bg-opacity-90 font-medium">
                         Run Stress Test
@@ -596,6 +596,14 @@
             forceHighlightElement(curlCodeEl);
         }
 
+        // Detect if stream is requested inside payload
+        function shouldUseStream(payload) {
+            const toBool = (v) => v === true || (typeof v === 'string' && v.toLowerCase() === 'true');
+            const fromCrawler = payload && payload.crawler_config && payload.crawler_config.params && payload.crawler_config.params.stream;
+            const direct = payload && payload.stream;
+            return toBool(fromCrawler) || toBool(direct);
+        }
+
         // Main run function
         async function runCrawl() {
             const endpoint = document.getElementById('endpoint').value;
@@ -611,16 +619,24 @@
                         : { browser_config: cfgJson };
                 }
             } catch (err) {
-                updateStatus('error');
-                document.querySelector('#response-content code').textContent =
-                    JSON.stringify({ error: err.message }, null, 2);
-                forceHighlightElement(document.querySelector('#response-content code'));
-                return; // stop run
+                const codeText = cm.getValue();
+                const streamFlag = /stream\s*=\s*True/i.test(codeText);
+                const isCrawlEndpoint = document.getElementById('endpoint').value === 'crawl';
+                if (isCrawlEndpoint && streamFlag) {
+                    // Fallback: proceed with minimal config only for stream
+                    advConfig = { crawler_config: { stream: true } };
+                } else {
+                    updateStatus('error');
+                    document.querySelector('#response-content code').textContent =
+                        JSON.stringify({ error: err.message }, null, 2);
+                    forceHighlightElement(document.querySelector('#response-content code'));
+                    return; // stop run
+                }
             }
 
             const endpointMap = {
                 crawl: '/crawl',
-                // crawl_stream: '/crawl/stream',
+                crawl_stream: '/crawl/stream', // Keep for backward compatibility
                 md: '/md',
                 llm: '/llm'
             };
@@ -647,7 +663,7 @@
                 // This will be handled directly in the fetch below
                 payload = null;
             } else {
-                // Default payload for /crawl and /crawl/stream
+                // Default payload for /crawl (supports both streaming and batch modes)
                 payload = {
                     urls,
                     ...advConfig
@@ -659,6 +675,7 @@
             try {
                 const startTime = performance.now();
                 let response, responseData;
+                const useStreamOverride = (endpoint === 'crawl') && shouldUseStream(payload);
 
                 if (endpoint === 'llm') {
                     // Special handling for LLM endpoint which uses URL pattern: /llm/{encoded_url}?q={query}
@@ -681,8 +698,8 @@
                     document.querySelector('#response-content code').textContent = JSON.stringify(responseData, null, 2);
                     document.querySelector('#response-content code').className = 'json hljs';
                     forceHighlightElement(document.querySelector('#response-content code'));
-                } else if (endpoint === 'crawl_stream') {
-                    // Stream processing
+                } else if (endpoint === 'crawl_stream' || useStreamOverride) {
+                    // Stream processing - now handled directly by /crawl endpoint
                     response = await fetch(api, {
                         method: 'POST',
                         headers: { 'Content-Type': 'application/json' },
@@ -757,6 +774,7 @@
                     const question = document.getElementById('llm-question').value.trim() || "What is this page about?";
                     generateSnippets(`${api}/${encodedUrl}?q=${encodeURIComponent(question)}`, null, 'GET');
                 } else {
+                    // Use the same API endpoint for both streaming and non-streaming
                     generateSnippets(api, payload);
                 }
             } catch (error) {
@@ -786,7 +804,7 @@
             document.getElementById('stress-avg-time').textContent = '0';
             document.getElementById('stress-peak-mem').textContent = '0';
 
-            const api = useStream ? '/crawl/stream' : '/crawl';
+            const api = '/crawl'; // Always use /crawl - backend handles streaming internally
             const urls = Array.from({ length: total }, (_, i) => `https://httpbin.org/anything/stress-${i}-${Date.now()}`);
             const chunks = [];
 
diff --git a/deploy/docker/utils.py b/deploy/docker/utils.py
index 2e2a80ac..5f3618af 100644
--- a/deploy/docker/utils.py
+++ b/deploy/docker/utils.py
@@ -71,7 +71,7 @@ def decode_redis_hash(hash_data: Dict[bytes, bytes]) -> Dict[str, str]:
 
 
 
-def get_llm_api_key(config: Dict, provider: Optional[str] = None) -> str:
+def get_llm_api_key(config: Dict, provider: Optional[str] = None) -> Optional[str]:
     """Get the appropriate API key based on the LLM provider.
     
     Args:
@@ -79,19 +79,14 @@ def get_llm_api_key(config: Dict, provider: Optional[str] = None) -> str:
         provider: Optional provider override (e.g., "openai/gpt-4")
     
     Returns:
-        The API key for the provider, or empty string if not found
+        The API key if directly configured, otherwise None to let litellm handle it
     """
-        
-    # Use provided provider or fall back to config
-    if not provider:
-        provider = config["llm"]["provider"]
-    
-    # Check if direct API key is configured
+    # Check if direct API key is configured (for backward compatibility)
     if "api_key" in config["llm"]:
         return config["llm"]["api_key"]
     
-    # Fall back to the configured api_key_env if no match
-    return os.environ.get(config["llm"].get("api_key_env", ""), "")
+    # Return None - litellm will automatically find the right environment variable
+    return None
 
 
 def validate_llm_provider(config: Dict, provider: Optional[str] = None) -> tuple[bool, str]:
@@ -104,19 +99,78 @@ def validate_llm_provider(config: Dict, provider: Optional[str] = None) -> tuple
     Returns:
         Tuple of (is_valid, error_message)
     """
-    # Use provided provider or fall back to config
-    if not provider:
-        provider = config["llm"]["provider"]
-    
-    # Get the API key for this provider
-    api_key = get_llm_api_key(config, provider)
-    
-    if not api_key:
-        return False, f"No API key found for provider '{provider}'. Please set the appropriate environment variable."
+    # If a direct API key is configured, validation passes
+    if "api_key" in config["llm"]:
+        return True, ""
     
+    # Otherwise, trust that litellm will find the appropriate environment variable
+    # We can't easily validate this without reimplementing litellm's logic
     return True, ""
 
 
+def get_llm_temperature(config: Dict, provider: Optional[str] = None) -> Optional[float]:
+    """Get temperature setting based on the LLM provider.
+    
+    Priority order:
+    1. Provider-specific environment variable (e.g., OPENAI_TEMPERATURE)
+    2. Global LLM_TEMPERATURE environment variable
+    3. None (to use litellm/provider defaults)
+    
+    Args:
+        config: The application configuration dictionary
+        provider: Optional provider override (e.g., "openai/gpt-4")
+    
+    Returns:
+        The temperature setting if configured, otherwise None
+    """
+    # Check provider-specific temperature first
+    if provider:
+        provider_name = provider.split('/')[0].upper()
+        provider_temp = os.environ.get(f"{provider_name}_TEMPERATURE")
+        if provider_temp:
+            try:
+                return float(provider_temp)
+            except ValueError:
+                logging.warning(f"Invalid temperature value for {provider_name}: {provider_temp}")
+    
+    # Check global LLM_TEMPERATURE
+    global_temp = os.environ.get("LLM_TEMPERATURE")
+    if global_temp:
+        try:
+            return float(global_temp)
+        except ValueError:
+            logging.warning(f"Invalid global temperature value: {global_temp}")
+    
+    # Return None to use litellm/provider defaults
+    return None
+
+
+def get_llm_base_url(config: Dict, provider: Optional[str] = None) -> Optional[str]:
+    """Get base URL setting based on the LLM provider.
+    
+    Priority order:
+    1. Provider-specific environment variable (e.g., OPENAI_BASE_URL)
+    2. Global LLM_BASE_URL environment variable
+    3. None (to use default endpoints)
+    
+    Args:
+        config: The application configuration dictionary
+        provider: Optional provider override (e.g., "openai/gpt-4")
+    
+    Returns:
+        The base URL if configured, otherwise None
+    """
+    # Check provider-specific base URL first
+    if provider:
+        provider_name = provider.split('/')[0].upper()
+        provider_url = os.environ.get(f"{provider_name}_BASE_URL")
+        if provider_url:
+            return provider_url
+    
+    # Check global LLM_BASE_URL
+    return os.environ.get("LLM_BASE_URL")
+
+
 def verify_email_domain(email: str) -> bool:
     try:
         domain = email.split('@')[1]
diff --git a/deploy/docker/webhook.py b/deploy/docker/webhook.py
new file mode 100644
index 00000000..ebee9dff
--- /dev/null
+++ b/deploy/docker/webhook.py
@@ -0,0 +1,159 @@
+"""
+Webhook delivery service for Crawl4AI.
+
+This module provides webhook notification functionality with exponential backoff retry logic.
+"""
+import asyncio
+import httpx
+import logging
+from typing import Dict, Optional
+from datetime import datetime, timezone
+
+logger = logging.getLogger(__name__)
+
+
+class WebhookDeliveryService:
+    """Handles webhook delivery with exponential backoff retry logic."""
+
+    def __init__(self, config: Dict):
+        """
+        Initialize the webhook delivery service.
+
+        Args:
+            config: Application configuration dictionary containing webhook settings
+        """
+        self.config = config.get("webhooks", {})
+        self.max_attempts = self.config.get("retry", {}).get("max_attempts", 5)
+        self.initial_delay = self.config.get("retry", {}).get("initial_delay_ms", 1000) / 1000
+        self.max_delay = self.config.get("retry", {}).get("max_delay_ms", 32000) / 1000
+        self.timeout = self.config.get("retry", {}).get("timeout_ms", 30000) / 1000
+
+    async def send_webhook(
+        self,
+        webhook_url: str,
+        payload: Dict,
+        headers: Optional[Dict[str, str]] = None
+    ) -> bool:
+        """
+        Send webhook with exponential backoff retry logic.
+
+        Args:
+            webhook_url: The URL to send the webhook to
+            payload: The JSON payload to send
+            headers: Optional custom headers
+
+        Returns:
+            bool: True if delivered successfully, False otherwise
+        """
+        default_headers = self.config.get("headers", {})
+        merged_headers = {**default_headers, **(headers or {})}
+        merged_headers["Content-Type"] = "application/json"
+
+        async with httpx.AsyncClient(timeout=self.timeout) as client:
+            for attempt in range(self.max_attempts):
+                try:
+                    logger.info(
+                        f"Sending webhook (attempt {attempt + 1}/{self.max_attempts}) to {webhook_url}"
+                    )
+
+                    response = await client.post(
+                        webhook_url,
+                        json=payload,
+                        headers=merged_headers
+                    )
+
+                    # Success or client error (don't retry client errors)
+                    if response.status_code < 500:
+                        if 200 <= response.status_code < 300:
+                            logger.info(f"Webhook delivered successfully to {webhook_url}")
+                            return True
+                        else:
+                            logger.warning(
+                                f"Webhook rejected with status {response.status_code}: {response.text[:200]}"
+                            )
+                            return False  # Client error - don't retry
+
+                    # Server error - retry with backoff
+                    logger.warning(
+                        f"Webhook failed with status {response.status_code}, will retry"
+                    )
+
+                except httpx.TimeoutException as exc:
+                    logger.error(f"Webhook timeout (attempt {attempt + 1}): {exc}")
+                except httpx.RequestError as exc:
+                    logger.error(f"Webhook request error (attempt {attempt + 1}): {exc}")
+                except Exception as exc:
+                    logger.error(f"Webhook delivery error (attempt {attempt + 1}): {exc}")
+
+                # Calculate exponential backoff delay
+                if attempt < self.max_attempts - 1:
+                    delay = min(self.initial_delay * (2 ** attempt), self.max_delay)
+                    logger.info(f"Retrying in {delay}s...")
+                    await asyncio.sleep(delay)
+
+        logger.error(
+            f"Webhook delivery failed after {self.max_attempts} attempts to {webhook_url}"
+        )
+        return False
+
+    async def notify_job_completion(
+        self,
+        task_id: str,
+        task_type: str,
+        status: str,
+        urls: list,
+        webhook_config: Optional[Dict],
+        result: Optional[Dict] = None,
+        error: Optional[str] = None
+    ):
+        """
+        Notify webhook of job completion.
+
+        Args:
+            task_id: The task identifier
+            task_type: Type of task (e.g., "crawl", "llm_extraction")
+            status: Task status ("completed" or "failed")
+            urls: List of URLs that were crawled
+            webhook_config: Webhook configuration from the job request
+            result: Optional crawl result data
+            error: Optional error message if failed
+        """
+        # Determine webhook URL
+        webhook_url = None
+        data_in_payload = self.config.get("data_in_payload", False)
+        custom_headers = None
+
+        if webhook_config:
+            webhook_url = webhook_config.get("webhook_url")
+            data_in_payload = webhook_config.get("webhook_data_in_payload", data_in_payload)
+            custom_headers = webhook_config.get("webhook_headers")
+
+        if not webhook_url:
+            webhook_url = self.config.get("default_url")
+
+        if not webhook_url:
+            logger.debug("No webhook URL configured, skipping notification")
+            return
+
+        # Check if webhooks are enabled
+        if not self.config.get("enabled", True):
+            logger.debug("Webhooks are disabled, skipping notification")
+            return
+
+        # Build payload
+        payload = {
+            "task_id": task_id,
+            "task_type": task_type,
+            "status": status,
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+            "urls": urls
+        }
+
+        if error:
+            payload["error"] = error
+
+        if data_in_payload and result:
+            payload["data"] = result
+
+        # Send webhook (fire and forget - don't block on completion)
+        await self.send_webhook(webhook_url, payload, custom_headers)
diff --git a/docs/blog/release-v0.7.4.md b/docs/blog/release-v0.7.4.md
index d9a57845..72cfe3ae 100644
--- a/docs/blog/release-v0.7.4.md
+++ b/docs/blog/release-v0.7.4.md
@@ -10,7 +10,6 @@ Today I'm releasing Crawl4AI v0.7.4—the Intelligent Table Extraction & Perform
 
 - **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
 - **⚡ Enhanced Concurrency**: True concurrency improvements for fast-completing tasks in batch operations
-- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
 - **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
 - **⌨️ Cross-Platform Browser Profiler**: Improved keyboard handling and quit mechanisms
 - **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
@@ -158,40 +157,6 @@ async with AsyncWebCrawler() as crawler:
 - **Monitoring Systems**: Faster health checks and status page monitoring
 - **Data Aggregation**: Improved performance for real-time data collection
 
-## 🧹 Memory Management Refactor: Cleaner Architecture
-
-**The Problem:** Memory utilities were scattered and difficult to maintain, with potential import conflicts and unclear organization.
-
-**My Solution:** I consolidated all memory-related utilities into the main `utils.py` module, creating a cleaner, more maintainable architecture.
-
-### Improved Memory Handling
-
-```python
-# All memory utilities now consolidated
-from crawl4ai.utils import get_true_memory_usage_percent, MemoryMonitor
-
-# Enhanced memory monitoring
-monitor = MemoryMonitor()
-monitor.start_monitoring()
-
-async with AsyncWebCrawler() as crawler:
-    # Memory-efficient batch processing
-    results = await crawler.arun_many(large_url_list)
-    
-    # Get accurate memory metrics
-    memory_usage = get_true_memory_usage_percent()
-    memory_report = monitor.get_report()
-    
-    print(f"Memory efficiency: {memory_report['efficiency']:.1f}%")
-    print(f"Peak usage: {memory_report['peak_mb']:.1f} MB")
-```
-
-**Expected Real-World Impact:**
-- **Production Stability**: More reliable memory tracking and management
-- **Code Maintainability**: Cleaner architecture for easier debugging
-- **Import Clarity**: Resolved potential conflicts and import issues
-- **Developer Experience**: Simpler API for memory monitoring
-
 ## 🔧 Critical Stability Fixes
 
 ### Browser Manager Race Condition Resolution
diff --git a/docs/blog/release-v0.7.5.md b/docs/blog/release-v0.7.5.md
new file mode 100644
index 00000000..977d2fd9
--- /dev/null
+++ b/docs/blog/release-v0.7.5.md
@@ -0,0 +1,318 @@
+# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
+
+*September 29, 2025 • 8 min read*
+
+---
+
+Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
+
+## 🎯 What's New at a Glance
+
+- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
+- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
+- **Enhanced LLM Integration**: Custom providers with temperature control
+- **HTTPS Preservation**: Secure internal link handling
+- **Bug Fixes**: Resolved multiple community-reported issues
+- **Improved Docker Error Handling**: Better debugging and reliability
+
+## 🔧 Docker Hooks System: Pipeline Customization
+
+Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
+
+### Real Example: Authentication & Performance
+
+```python
+import requests
+
+# Real working hooks for httpbin.org
+hooks_config = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("Hook: Setting up page context")
+    # Block images to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    print("Hook: Images blocked")
+    return page
+""",
+
+    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("Hook: Before retrieving HTML")
+    # Scroll to bottom to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    print("Hook: Scrolled to bottom")
+    return page
+""",
+
+    "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"Hook: About to navigate to {url}")
+    # Add custom headers
+    await page.set_extra_http_headers({
+        'X-Test-Header': 'crawl4ai-hooks-test'
+    })
+    return page
+"""
+}
+
+# Test with Docker API
+payload = {
+    "urls": ["https://httpbin.org/html"],
+    "hooks": {
+        "code": hooks_config,
+        "timeout": 30
+    }
+}
+
+response = requests.post("http://localhost:11235/crawl", json=payload)
+result = response.json()
+
+if result.get('success'):
+    print("✅ Hooks executed successfully!")
+    print(f"Content length: {len(result.get('markdown', ''))} characters")
+```
+
+**Available Hook Points:**
+- `on_browser_created`: Browser setup
+- `on_page_context_created`: Page context configuration
+- `before_goto`: Pre-navigation setup
+- `after_goto`: Post-navigation processing
+- `on_user_agent_updated`: User agent changes
+- `on_execution_started`: Crawl initialization
+- `before_retrieve_html`: Pre-extraction processing
+- `before_return_html`: Final HTML processing
+
+### Function-Based Hooks API
+
+Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
+
+**Option 1: Using the `hooks_to_string()` Utility**
+
+```python
+from crawl4ai import hooks_to_string
+import requests
+
+# Define hooks as regular Python functions (with full IDE support!)
+async def on_page_context_created(page, context, **kwargs):
+    """Block images to speed up crawling"""
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+
+async def before_goto(page, context, url, **kwargs):
+    """Add custom headers"""
+    await page.set_extra_http_headers({
+        'X-Crawl4AI': 'v0.7.5',
+        'X-Custom-Header': 'my-value'
+    })
+    return page
+
+# Convert functions to strings
+hooks_code = hooks_to_string({
+    "on_page_context_created": on_page_context_created,
+    "before_goto": before_goto
+})
+
+# Use with REST API
+payload = {
+    "urls": ["https://httpbin.org/html"],
+    "hooks": {"code": hooks_code, "timeout": 30}
+}
+response = requests.post("http://localhost:11235/crawl", json=payload)
+```
+
+**Option 2: Docker Client with Automatic Conversion (Recommended!)**
+
+```python
+from crawl4ai.docker_client import Crawl4aiDockerClient
+
+# Define hooks as functions (same as above)
+async def on_page_context_created(page, context, **kwargs):
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    return page
+
+async def before_retrieve_html(page, context, **kwargs):
+    # Scroll to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+
+# Use Docker client - conversion happens automatically!
+client = Crawl4aiDockerClient(base_url="http://localhost:11235")
+
+results = await client.crawl(
+    urls=["https://httpbin.org/html"],
+    hooks={
+        "on_page_context_created": on_page_context_created,
+        "before_retrieve_html": before_retrieve_html
+    },
+    hooks_timeout=30
+)
+
+if results and results.success:
+    print(f"✅ Hooks executed! HTML length: {len(results.html)}")
+```
+
+**Benefits of Function-Based Hooks:**
+- ✅ Full IDE support (autocomplete, syntax highlighting)
+- ✅ Type checking and linting
+- ✅ Easier to test and debug
+- ✅ Reusable across projects
+- ✅ Automatic conversion in Docker client
+- ✅ No breaking changes - string hooks still work!
+
+## 🤖 Enhanced LLM Integration
+
+Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
+
+### Multi-Provider Support
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.extraction_strategy import LLMExtractionStrategy
+
+# Test with different providers
+async def test_llm_providers():
+    # OpenAI with custom temperature
+    openai_strategy = LLMExtractionStrategy(
+        provider="gemini/gemini-2.5-flash-lite",
+        api_token="your-api-token",
+        temperature=0.7,  # New in v0.7.5
+        instruction="Summarize this page in one sentence"
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            "https://example.com",
+            config=CrawlerRunConfig(extraction_strategy=openai_strategy)
+        )
+
+        if result.success:
+            print("✅ LLM extraction completed")
+            print(result.extracted_content)
+
+# Docker API with enhanced LLM config
+llm_payload = {
+    "url": "https://example.com",
+    "f": "llm",
+    "q": "Summarize this page in one sentence.",
+    "provider": "gemini/gemini-2.5-flash-lite",
+    "temperature": 0.7
+}
+
+response = requests.post("http://localhost:11235/md", json=llm_payload)
+```
+
+**New Features:**
+- Custom `temperature` parameter for creativity control
+- `base_url` for custom API endpoints
+- Multi-provider environment variable support
+- Docker API integration
+
+## 🔒 HTTPS Preservation
+
+**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
+
+**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
+
+async def test_https_preservation():
+    # Enable HTTPS preservation
+    url_filter = URLPatternFilter(
+        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
+    )
+
+    config = CrawlerRunConfig(
+        exclude_external_links=True,
+        preserve_https_for_internal_links=True,  # New in v0.7.5
+        deep_crawl_strategy=BFSDeepCrawlStrategy(
+            max_depth=2,
+            max_pages=5,
+            filter_chain=FilterChain([url_filter])
+        )
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        async for result in await crawler.arun(
+            url="https://quotes.toscrape.com",
+            config=config
+        ):
+            # All internal links maintain HTTPS
+            internal_links = [link['href'] for link in result.links['internal']]
+            https_links = [link for link in internal_links if link.startswith('https://')]
+
+            print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
+            for link in https_links[:3]:
+                print(f"  → {link}")
+```
+
+## 🛠️ Bug Fixes and Improvements
+
+### Major Fixes
+- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
+- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
+- **Docker Error Handling**: Comprehensive error messages with status codes
+- **Memory Management**: Fixed leaks in long-running sessions
+- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
+- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
+- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
+- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
+- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
+- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
+
+### Community-Reported Issues Fixed
+This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
+- Fixed browser configuration reference errors
+- Resolved dependency conflicts with cssselect
+- Improved error messaging for failed authentications
+- Enhanced compatibility with various proxy configurations
+- Fixed edge cases in URL normalization
+
+### Configuration Updates
+```python
+# Old proxy config (deprecated)
+# browser_config = BrowserConfig(proxy="http://proxy:8080")
+
+# New enhanced proxy config
+browser_config = BrowserConfig(
+    proxy_config={
+        "server": "http://proxy:8080",
+        "username": "optional-user",
+        "password": "optional-pass"
+    }
+)
+```
+
+## 🔄 Breaking Changes
+
+1. **Python 3.10+ Required**: Upgrade from Python 3.9
+2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
+3. **New Dependency**: Added `cssselect` for better CSS handling
+
+## 🚀 Get Started
+
+```bash
+# Install latest version
+pip install crawl4ai==0.7.5
+
+# Docker deployment
+docker pull unclecode/crawl4ai:latest
+docker run -p 11235:11235 unclecode/crawl4ai:latest
+```
+
+**Try the Demo:**
+```bash
+# Run working examples
+python docs/releases_review/demo_v0.7.5.py
+```
+
+**Resources:**
+- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
+- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
+- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
+- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
+
+Happy crawling! 🕷️
diff --git a/docs/blog/release-v0.7.6.md b/docs/blog/release-v0.7.6.md
new file mode 100644
index 00000000..e27d19cc
--- /dev/null
+++ b/docs/blog/release-v0.7.6.md
@@ -0,0 +1,314 @@
+# Crawl4AI v0.7.6 Release Notes
+
+*Release Date: October 22, 2025*
+
+I'm excited to announce Crawl4AI v0.7.6, featuring a complete webhook infrastructure for the Docker job queue API! This release eliminates polling and brings real-time notifications to both crawling and LLM extraction workflows.
+
+## 🎯 What's New
+
+### Webhook Support for Docker Job Queue API
+
+The headline feature of v0.7.6 is comprehensive webhook support for asynchronous job processing. No more constant polling to check if your jobs are done - get instant notifications when they complete!
+
+**Key Capabilities:**
+
+- ✅ **Universal Webhook Support**: Both `/crawl/job` and `/llm/job` endpoints now support webhooks
+- ✅ **Flexible Delivery Modes**: Choose notification-only or include full data in the webhook payload
+- ✅ **Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- ✅ **Custom Authentication**: Add custom headers for webhook authentication
+- ✅ **Global Configuration**: Set default webhook URL in `config.yml` for all jobs
+- ✅ **Task Type Identification**: Distinguish between `crawl` and `llm_extraction` tasks
+
+### How It Works
+
+Instead of constantly checking job status:
+
+**OLD WAY (Polling):**
+```python
+# Submit job
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+task_id = response.json()['task_id']
+
+# Poll until complete
+while True:
+    status = requests.get(f"http://localhost:11235/crawl/job/{task_id}")
+    if status.json()['status'] == 'completed':
+        break
+    time.sleep(5)  # Wait and try again
+```
+
+**NEW WAY (Webhooks):**
+```python
+# Submit job with webhook
+payload = {
+    "urls": ["https://example.com"],
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+
+# Done! Webhook will notify you when complete
+# Your webhook handler receives the results automatically
+```
+
+### Crawl Job Webhooks
+
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "browser_config": {"headless": true},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false,
+      "webhook_headers": {
+        "X-Webhook-Secret": "your-secret-token"
+      }
+    }
+  }'
+```
+
+### LLM Extraction Job Webhooks (NEW!)
+
+```bash
+curl -X POST http://localhost:11235/llm/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "url": "https://example.com/article",
+    "q": "Extract the article title, author, and publication date",
+    "schema": "{\"type\":\"object\",\"properties\":{\"title\":{\"type\":\"string\"}}}",
+    "provider": "openai/gpt-4o-mini",
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/llm-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+### Webhook Payload Structure
+
+**Success (with data):**
+```json
+{
+  "task_id": "llm_1698765432",
+  "task_type": "llm_extraction",
+  "status": "completed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com/article"],
+  "data": {
+    "extracted_content": {
+      "title": "Understanding Web Scraping",
+      "author": "John Doe",
+      "date": "2025-10-22"
+    }
+  }
+}
+```
+
+**Failure:**
+```json
+{
+  "task_id": "crawl_abc123",
+  "task_type": "crawl",
+  "status": "failed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "error": "Connection timeout after 30s"
+}
+```
+
+### Simple Webhook Handler Example
+
+```python
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route('/webhook', methods=['POST'])
+def handle_webhook():
+    payload = request.json
+
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    if status == 'completed':
+        if 'data' in payload:
+            # Process data directly
+            data = payload['data']
+        else:
+            # Fetch from API
+            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
+            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
+            data = response.json()
+
+        # Your business logic here
+        print(f"Job {task_id} completed!")
+
+    elif status == 'failed':
+        error = payload.get('error', 'Unknown error')
+        print(f"Job {task_id} failed: {error}")
+
+    return jsonify({"status": "received"}), 200
+
+app.run(port=8080)
+```
+
+## 📊 Performance Improvements
+
+- **Reduced Server Load**: Eliminates constant polling requests
+- **Lower Latency**: Instant notification vs. polling interval delay
+- **Better Resource Usage**: Frees up client connections while jobs run in background
+- **Scalable Architecture**: Handles high-volume crawling workflows efficiently
+
+## 🐛 Bug Fixes
+
+- Fixed webhook configuration serialization for Pydantic HttpUrl fields
+- Improved error handling in webhook delivery service
+- Enhanced Redis task storage for webhook config persistence
+
+## 🌍 Expected Real-World Impact
+
+### For Web Scraping Workflows
+- **Reduced Costs**: Less API calls = lower bandwidth and server costs
+- **Better UX**: Instant notifications improve user experience
+- **Scalability**: Handle 100s of concurrent jobs without polling overhead
+
+### For LLM Extraction Pipelines
+- **Async Processing**: Submit LLM extraction jobs and move on
+- **Batch Processing**: Queue multiple extractions, get notified as they complete
+- **Integration**: Easy integration with workflow automation tools (Zapier, n8n, etc.)
+
+### For Microservices
+- **Event-Driven**: Perfect for event-driven microservice architectures
+- **Decoupling**: Decouple job submission from result processing
+- **Reliability**: Automatic retries ensure webhooks are delivered
+
+## 🔄 Breaking Changes
+
+**None!** This release is fully backward compatible.
+
+- Webhook configuration is optional
+- Existing code continues to work without modification
+- Polling is still supported for jobs without webhook config
+
+## 📚 Documentation
+
+### New Documentation
+- **[WEBHOOK_EXAMPLES.md](../deploy/docker/WEBHOOK_EXAMPLES.md)** - Comprehensive webhook usage guide
+- **[docker_webhook_example.py](../docs/examples/docker_webhook_example.py)** - Working code examples
+
+### Updated Documentation
+- **[Docker README](../deploy/docker/README.md)** - Added webhook sections
+- API documentation with webhook examples
+
+## 🛠️ Migration Guide
+
+No migration needed! Webhooks are opt-in:
+
+1. **To use webhooks**: Add `webhook_config` to your job payload
+2. **To keep polling**: Continue using your existing code
+
+### Quick Start
+
+```python
+# Just add webhook_config to your existing payload
+payload = {
+    # Your existing configuration
+    "urls": ["https://example.com"],
+    "browser_config": {...},
+    "crawler_config": {...},
+
+    # NEW: Add webhook configuration
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+```
+
+## 🔧 Configuration
+
+### Global Webhook Configuration (config.yml)
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"  # Optional
+  data_in_payload: false
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000
+    max_delay_ms: 32000
+    timeout_ms: 30000
+  headers:
+    User-Agent: "Crawl4AI-Webhook/1.0"
+```
+
+## 🚀 Upgrade Instructions
+
+### Docker
+
+```bash
+# Pull the latest image
+docker pull unclecode/crawl4ai:0.7.6
+
+# Or use latest tag
+docker pull unclecode/crawl4ai:latest
+
+# Run with webhook support
+docker run -d \
+  -p 11235:11235 \
+  --env-file .llm.env \
+  --name crawl4ai \
+  unclecode/crawl4ai:0.7.6
+```
+
+### Python Package
+
+```bash
+pip install --upgrade crawl4ai
+```
+
+## 💡 Pro Tips
+
+1. **Use notification-only mode** for large results - fetch data separately to avoid large webhook payloads
+2. **Set custom headers** for webhook authentication and request tracking
+3. **Configure global default webhook** for consistent handling across all jobs
+4. **Implement idempotent webhook handlers** - same webhook may be delivered multiple times on retry
+5. **Use structured schemas** with LLM extraction for predictable webhook data
+
+## 🎬 Demo
+
+Try the release demo:
+
+```bash
+python docs/releases_review/demo_v0.7.6.py
+```
+
+This comprehensive demo showcases:
+- Crawl job webhooks (notification-only and with data)
+- LLM extraction webhooks (with JSON schema support)
+- Custom headers for authentication
+- Webhook retry mechanism
+- Real-time webhook receiver
+
+## 🙏 Acknowledgments
+
+Thank you to the community for the feedback that shaped this feature! Special thanks to everyone who requested webhook support for asynchronous job processing.
+
+## 📞 Support
+
+- **Documentation**: https://docs.crawl4ai.com
+- **GitHub Issues**: https://github.com/unclecode/crawl4ai/issues
+- **Discord**: https://discord.gg/crawl4ai
+
+---
+
+**Happy crawling with webhooks!** 🕷️🪝
+
+*- unclecode*
diff --git a/docs/examples/adaptive_crawling/llm_config_example.py b/docs/examples/adaptive_crawling/llm_config_example.py
new file mode 100644
index 00000000..52794744
--- /dev/null
+++ b/docs/examples/adaptive_crawling/llm_config_example.py
@@ -0,0 +1,154 @@
+import asyncio
+import os
+from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig, LLMConfig
+
+
+async def test_configuration(name: str, config: AdaptiveConfig, url: str, query: str):
+    """Test a specific configuration"""
+    print(f"\n{'='*60}")
+    print(f"Configuration: {name}")
+    print(f"{'='*60}")
+    
+    async with AsyncWebCrawler(verbose=False) as crawler:
+        adaptive = AdaptiveCrawler(crawler, config)
+        result = await adaptive.digest(start_url=url, query=query)
+        
+        print("\n" + "="*50)
+        print("CRAWL STATISTICS")
+        print("="*50)
+        adaptive.print_stats(detailed=False)
+        
+        # Get the most relevant content found
+        print("\n" + "="*50)
+        print("MOST RELEVANT PAGES")
+        print("="*50)
+        
+        relevant_pages = adaptive.get_relevant_content(top_k=5)
+        for i, page in enumerate(relevant_pages, 1):
+            print(f"\n{i}. {page['url']}")
+            print(f"   Relevance Score: {page['score']:.2%}")
+            
+            # Show a snippet of the content
+            content = page['content'] or ""
+            if content:
+                snippet = content[:200].replace('\n', ' ')
+                if len(content) > 200:
+                    snippet += "..."
+                print(f"   Preview: {snippet}")
+        
+        print(f"\n{'='*50}")
+        print(f"Pages crawled: {len(result.crawled_urls)}")
+        print(f"Final confidence: {adaptive.confidence:.1%}")
+        print(f"Stopped reason: {result.metrics.get('stopped_reason', 'max_pages')}")
+        
+        if result.metrics.get('is_irrelevant', False):
+            print("⚠️  Query detected as irrelevant!")
+        
+        return result
+
+
+async def llm_embedding():
+    """Demonstrate various embedding configurations"""
+    
+    print("EMBEDDING STRATEGY CONFIGURATION EXAMPLES")
+    print("=" * 60)
+    
+    # Base URL and query for testing
+    test_url = "https://docs.python.org/3/library/asyncio.html"
+    
+    openai_llm_config = LLMConfig(
+        provider='openai/text-embedding-3-small',
+        api_token=os.getenv('OPENAI_API_KEY'),
+        temperature=0.7,
+        max_tokens=2000
+    )
+    config_openai = AdaptiveConfig(
+        strategy="embedding",
+        max_pages=10,
+        
+        # Use OpenAI embeddings
+        embedding_llm_config=openai_llm_config,
+        # embedding_llm_config={
+        #     'provider': 'openai/text-embedding-3-small',
+        #     'api_token': os.getenv('OPENAI_API_KEY')
+        # },
+        
+        # OpenAI embeddings are high quality, can be stricter
+        embedding_k_exp=4.0,
+        n_query_variations=12
+    )
+    
+    await test_configuration(
+        "OpenAI Embeddings",
+        config_openai,
+        test_url,
+        # "event-driven architecture patterns"
+        "async await context managers coroutines"
+    )
+    return
+    
+    
+
+async def basic_adaptive_crawling():
+    """Basic adaptive crawling example"""
+    
+    # Initialize the crawler
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        # Create an adaptive crawler with default settings (statistical strategy)
+        adaptive = AdaptiveCrawler(crawler)
+        
+        # Note: You can also use embedding strategy for semantic understanding:
+        # from crawl4ai import AdaptiveConfig
+        # config = AdaptiveConfig(strategy="embedding")
+        # adaptive = AdaptiveCrawler(crawler, config)
+        
+        # Start adaptive crawling
+        print("Starting adaptive crawl for Python async programming information...")
+        result = await adaptive.digest(
+            start_url="https://docs.python.org/3/library/asyncio.html",
+            query="async await context managers coroutines"
+        )
+        
+        # Display crawl statistics
+        print("\n" + "="*50)
+        print("CRAWL STATISTICS")
+        print("="*50)
+        adaptive.print_stats(detailed=False)
+        
+        # Get the most relevant content found
+        print("\n" + "="*50)
+        print("MOST RELEVANT PAGES")
+        print("="*50)
+        
+        relevant_pages = adaptive.get_relevant_content(top_k=5)
+        for i, page in enumerate(relevant_pages, 1):
+            print(f"\n{i}. {page['url']}")
+            print(f"   Relevance Score: {page['score']:.2%}")
+            
+            # Show a snippet of the content
+            content = page['content'] or ""
+            if content:
+                snippet = content[:200].replace('\n', ' ')
+                if len(content) > 200:
+                    snippet += "..."
+                print(f"   Preview: {snippet}")
+        
+        # Show final confidence
+        print(f"\n{'='*50}")
+        print(f"Final Confidence: {adaptive.confidence:.2%}")
+        print(f"Total Pages Crawled: {len(result.crawled_urls)}")
+        print(f"Knowledge Base Size: {len(adaptive.state.knowledge_base)} documents")
+        
+        
+        if adaptive.confidence >= 0.8:
+            print("✓ High confidence - can answer detailed questions about async Python")
+        elif adaptive.confidence >= 0.6:
+            print("~ Moderate confidence - can answer basic questions") 
+        else:
+            print("✗ Low confidence - need more information")
+
+
+
+if __name__ == "__main__":
+    asyncio.run(llm_embedding())
+    # asyncio.run(basic_adaptive_crawling())
\ No newline at end of file
diff --git a/docs/examples/docker_client_hooks_example.py b/docs/examples/docker_client_hooks_example.py
new file mode 100644
index 00000000..1aa27fdc
--- /dev/null
+++ b/docs/examples/docker_client_hooks_example.py
@@ -0,0 +1,522 @@
+#!/usr/bin/env python3
+"""
+Comprehensive hooks examples using Docker Client with function objects.
+
+This approach is recommended because:
+- Write hooks as regular Python functions
+- Full IDE support (autocomplete, type checking)
+- Automatic conversion to API format
+- Reusable and testable code
+- Clean, readable syntax
+"""
+
+import asyncio
+from crawl4ai import Crawl4aiDockerClient
+
+# API_BASE_URL = "http://localhost:11235"
+API_BASE_URL = "http://localhost:11234"
+
+
+# ============================================================================
+# Hook Function Definitions
+# ============================================================================
+
+# --- All Hooks Demo ---
+async def browser_created_hook(browser, **kwargs):
+    """Called after browser is created"""
+    print("[HOOK] Browser created and ready")
+    return browser
+
+
+async def page_context_hook(page, context, **kwargs):
+    """Setup page environment"""
+    print("[HOOK] Setting up page environment")
+
+    # Set viewport
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+
+    # Add cookies
+    await context.add_cookies([{
+        "name": "test_session",
+        "value": "abc123xyz",
+        "domain": ".httpbin.org",
+        "path": "/"
+    }])
+
+    # Block resources
+    await context.route("**/*.{png,jpg,jpeg,gif}", lambda route: route.abort())
+    await context.route("**/analytics/*", lambda route: route.abort())
+
+    print("[HOOK] Environment configured")
+    return page
+
+
+async def user_agent_hook(page, context, user_agent, **kwargs):
+    """Called when user agent is updated"""
+    print(f"[HOOK] User agent: {user_agent[:50]}...")
+    return page
+
+
+async def before_goto_hook(page, context, url, **kwargs):
+    """Called before navigating to URL"""
+    print(f"[HOOK] Navigating to: {url}")
+
+    await page.set_extra_http_headers({
+        "X-Custom-Header": "crawl4ai-test",
+        "Accept-Language": "en-US"
+    })
+
+    return page
+
+
+async def after_goto_hook(page, context, url, response, **kwargs):
+    """Called after page loads"""
+    print(f"[HOOK] Page loaded: {url}")
+
+    await page.wait_for_timeout(1000)
+
+    try:
+        await page.wait_for_selector("body", timeout=2000)
+        print("[HOOK] Body element ready")
+    except:
+        print("[HOOK] Timeout, continuing")
+
+    return page
+
+
+async def execution_started_hook(page, context, **kwargs):
+    """Called when custom JS execution starts"""
+    print("[HOOK] JS execution started")
+    await page.evaluate("console.log('[HOOK] Custom JS');")
+    return page
+
+
+async def before_retrieve_hook(page, context, **kwargs):
+    """Called before retrieving HTML"""
+    print("[HOOK] Preparing HTML retrieval")
+
+    # Scroll for lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+    await page.wait_for_timeout(500)
+    await page.evaluate("window.scrollTo(0, 0);")
+
+    print("[HOOK] Scrolling complete")
+    return page
+
+
+async def before_return_hook(page, context, html, **kwargs):
+    """Called before returning HTML"""
+    print(f"[HOOK] HTML ready: {len(html)} chars")
+
+    metrics = await page.evaluate('''() => ({
+        images: document.images.length,
+        links: document.links.length,
+        scripts: document.scripts.length
+    })''')
+
+    print(f"[HOOK] Metrics - Images: {metrics['images']}, Links: {metrics['links']}")
+    return page
+
+
+# --- Authentication Hooks ---
+async def auth_context_hook(page, context, **kwargs):
+    """Setup authentication context"""
+    print("[HOOK] Setting up authentication")
+
+    # Add auth cookies
+    await context.add_cookies([{
+        "name": "auth_token",
+        "value": "fake_jwt_token",
+        "domain": ".httpbin.org",
+        "path": "/",
+        "httpOnly": True
+    }])
+
+    # Set localStorage
+    await page.evaluate('''
+        localStorage.setItem('user_id', '12345');
+        localStorage.setItem('auth_time', new Date().toISOString());
+    ''')
+
+    print("[HOOK] Auth context ready")
+    return page
+
+
+async def auth_headers_hook(page, context, url, **kwargs):
+    """Add authentication headers"""
+    print(f"[HOOK] Adding auth headers for {url}")
+
+    import base64
+    credentials = base64.b64encode(b"user:passwd").decode('ascii')
+
+    await page.set_extra_http_headers({
+        'Authorization': f'Basic {credentials}',
+        'X-API-Key': 'test-key-123'
+    })
+
+    return page
+
+
+# --- Performance Optimization Hooks ---
+async def performance_hook(page, context, **kwargs):
+    """Optimize page for performance"""
+    print("[HOOK] Optimizing for performance")
+
+    # Block resource-heavy content
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda r: r.abort())
+    await context.route("**/*.{woff,woff2,ttf}", lambda r: r.abort())
+    await context.route("**/*.{mp4,webm,ogg}", lambda r: r.abort())
+    await context.route("**/googletagmanager.com/*", lambda r: r.abort())
+    await context.route("**/google-analytics.com/*", lambda r: r.abort())
+    await context.route("**/facebook.com/*", lambda r: r.abort())
+
+    # Disable animations
+    await page.add_style_tag(content='''
+        *, *::before, *::after {
+            animation-duration: 0s !important;
+            transition-duration: 0s !important;
+        }
+    ''')
+
+    print("[HOOK] Optimizations applied")
+    return page
+
+
+async def cleanup_hook(page, context, **kwargs):
+    """Clean page before extraction"""
+    print("[HOOK] Cleaning page")
+
+    await page.evaluate('''() => {
+        const selectors = [
+            '.ad', '.ads', '.advertisement',
+            '.popup', '.modal', '.overlay',
+            '.cookie-banner', '.newsletter'
+        ];
+
+        selectors.forEach(sel => {
+            document.querySelectorAll(sel).forEach(el => el.remove());
+        });
+
+        document.querySelectorAll('script, style').forEach(el => el.remove());
+    }''')
+
+    print("[HOOK] Page cleaned")
+    return page
+
+
+# --- Content Extraction Hooks ---
+async def wait_dynamic_content_hook(page, context, url, response, **kwargs):
+    """Wait for dynamic content to load"""
+    print(f"[HOOK] Waiting for dynamic content on {url}")
+
+    await page.wait_for_timeout(2000)
+
+    # Click "Load More" if exists
+    try:
+        load_more = await page.query_selector('[class*="load-more"], button:has-text("Load More")')
+        if load_more:
+            await load_more.click()
+            await page.wait_for_timeout(1000)
+            print("[HOOK] Clicked 'Load More'")
+    except:
+        pass
+
+    return page
+
+
+async def extract_metadata_hook(page, context, **kwargs):
+    """Extract page metadata"""
+    print("[HOOK] Extracting metadata")
+
+    metadata = await page.evaluate('''() => {
+        const getMeta = (name) => {
+            const el = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
+            return el ? el.getAttribute('content') : null;
+        };
+
+        return {
+            title: document.title,
+            description: getMeta('description'),
+            author: getMeta('author'),
+            keywords: getMeta('keywords'),
+        };
+    }''')
+
+    print(f"[HOOK] Metadata: {metadata}")
+
+    # Infinite scroll
+    for i in range(3):
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+        await page.wait_for_timeout(1000)
+        print(f"[HOOK] Scroll {i+1}/3")
+
+    return page
+
+
+# --- Multi-URL Hooks ---
+async def url_specific_hook(page, context, url, **kwargs):
+    """Apply URL-specific logic"""
+    print(f"[HOOK] Processing URL: {url}")
+
+    # URL-specific headers
+    if 'html' in url:
+        await page.set_extra_http_headers({"X-Type": "HTML"})
+    elif 'json' in url:
+        await page.set_extra_http_headers({"X-Type": "JSON"})
+
+    return page
+
+
+async def track_progress_hook(page, context, url, response, **kwargs):
+    """Track crawl progress"""
+    status = response.status if response else 'unknown'
+    print(f"[HOOK] Loaded {url} - Status: {status}")
+    return page
+
+
+# ============================================================================
+# Test Functions
+# ============================================================================
+
+async def test_all_hooks_comprehensive():
+    """Test all 8 hook types"""
+    print("=" * 70)
+    print("Test 1: All Hooks Comprehensive Demo (Docker Client)")
+    print("=" * 70)
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nCrawling with all 8 hooks...")
+
+        # Define hooks with function objects
+        hooks = {
+            "on_browser_created": browser_created_hook,
+            "on_page_context_created": page_context_hook,
+            "on_user_agent_updated": user_agent_hook,
+            "before_goto": before_goto_hook,
+            "after_goto": after_goto_hook,
+            "on_execution_started": execution_started_hook,
+            "before_retrieve_html": before_retrieve_hook,
+            "before_return_html": before_return_hook
+        }
+
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            hooks=hooks,
+            hooks_timeout=30
+        )
+
+        print("\n✅ Success!")
+        print(f"   URL: {result.url}")
+        print(f"   Success: {result.success}")
+        print(f"   HTML: {len(result.html)} chars")
+
+
+async def test_authentication_workflow():
+    """Test authentication with hooks"""
+    print("\n" + "=" * 70)
+    print("Test 2: Authentication Workflow (Docker Client)")
+    print("=" * 70)
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nTesting authentication...")
+
+        hooks = {
+            "on_page_context_created": auth_context_hook,
+            "before_goto": auth_headers_hook
+        }
+
+        result = await client.crawl(
+            ["https://httpbin.org/basic-auth/user/passwd"],
+            hooks=hooks,
+            hooks_timeout=15
+        )
+
+        print("\n✅ Authentication completed")
+
+        if result.success:
+            if '"authenticated"' in result.html and 'true' in result.html:
+                print("   ✅ Basic auth successful!")
+            else:
+                print("   ⚠️ Auth status unclear")
+        else:
+            print(f"   ❌ Failed: {result.error_message}")
+
+
+async def test_performance_optimization():
+    """Test performance optimization"""
+    print("\n" + "=" * 70)
+    print("Test 3: Performance Optimization (Docker Client)")
+    print("=" * 70)
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nTesting performance hooks...")
+
+        hooks = {
+            "on_page_context_created": performance_hook,
+            "before_retrieve_html": cleanup_hook
+        }
+
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            hooks=hooks,
+            hooks_timeout=10
+        )
+
+        print("\n✅ Optimization completed")
+        print(f"   HTML size: {len(result.html):,} chars")
+        print("   Resources blocked, ads removed")
+
+
+async def test_content_extraction():
+    """Test content extraction"""
+    print("\n" + "=" * 70)
+    print("Test 4: Content Extraction (Docker Client)")
+    print("=" * 70)
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nTesting extraction hooks...")
+
+        hooks = {
+            "after_goto": wait_dynamic_content_hook,
+            "before_retrieve_html": extract_metadata_hook
+        }
+
+        result = await client.crawl(
+            ["https://www.kidocode.com/"],
+            hooks=hooks,
+            hooks_timeout=20
+        )
+
+        print("\n✅ Extraction completed")
+        print(f"   URL: {result.url}")
+        print(f"   Success: {result.success}")
+        print(f"   Metadata: {result.metadata}")
+
+
+async def test_multi_url_crawl():
+    """Test hooks with multiple URLs"""
+    print("\n" + "=" * 70)
+    print("Test 5: Multi-URL Crawl (Docker Client)")
+    print("=" * 70)
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nCrawling multiple URLs...")
+
+        hooks = {
+            "before_goto": url_specific_hook,
+            "after_goto": track_progress_hook
+        }
+
+        results = await client.crawl(
+            [
+                "https://httpbin.org/html",
+                "https://httpbin.org/json",
+                "https://httpbin.org/xml"
+            ],
+            hooks=hooks,
+            hooks_timeout=15
+        )
+
+        print("\n✅ Multi-URL crawl completed")
+        print(f"\n   Crawled {len(results)} URLs:")
+        for i, result in enumerate(results, 1):
+            status = "✅" if result.success else "❌"
+            print(f"   {status} {i}. {result.url}")
+
+
+async def test_reusable_hook_library():
+    """Test using reusable hook library"""
+    print("\n" + "=" * 70)
+    print("Test 6: Reusable Hook Library (Docker Client)")
+    print("=" * 70)
+
+    # Create a library of reusable hooks
+    class HookLibrary:
+        @staticmethod
+        async def block_images(page, context, **kwargs):
+            """Block all images"""
+            await context.route("**/*.{png,jpg,jpeg,gif}", lambda r: r.abort())
+            print("[LIBRARY] Images blocked")
+            return page
+
+        @staticmethod
+        async def block_analytics(page, context, **kwargs):
+            """Block analytics"""
+            await context.route("**/analytics/*", lambda r: r.abort())
+            await context.route("**/google-analytics.com/*", lambda r: r.abort())
+            print("[LIBRARY] Analytics blocked")
+            return page
+
+        @staticmethod
+        async def scroll_infinite(page, context, **kwargs):
+            """Handle infinite scroll"""
+            for i in range(5):
+                prev = await page.evaluate("document.body.scrollHeight")
+                await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+                await page.wait_for_timeout(1000)
+                curr = await page.evaluate("document.body.scrollHeight")
+                if curr == prev:
+                    break
+            print("[LIBRARY] Infinite scroll complete")
+            return page
+
+    async with Crawl4aiDockerClient(base_url=API_BASE_URL, verbose=False) as client:
+        print("\nUsing hook library...")
+
+        hooks = {
+            "on_page_context_created": HookLibrary.block_images,
+            "before_retrieve_html": HookLibrary.scroll_infinite
+        }
+
+        result = await client.crawl(
+            ["https://www.kidocode.com/"],
+            hooks=hooks,
+            hooks_timeout=20
+        )
+
+        print("\n✅ Library hooks completed")
+        print(f"   Success: {result.success}")
+
+
+# ============================================================================
+# Main
+# ============================================================================
+
+async def main():
+    """Run all Docker client hook examples"""
+    print("🔧 Crawl4AI Docker Client - Hooks Examples (Function-Based)")
+    print("Using Python function objects with automatic conversion")
+    print("=" * 70)
+
+    tests = [
+        ("All Hooks Demo", test_all_hooks_comprehensive),
+        ("Authentication", test_authentication_workflow),
+        ("Performance", test_performance_optimization),
+        ("Extraction", test_content_extraction),
+        ("Multi-URL", test_multi_url_crawl),
+        ("Hook Library", test_reusable_hook_library)
+    ]
+
+    for i, (name, test_func) in enumerate(tests, 1):
+        try:
+            await test_func()
+            print(f"\n✅ Test {i}/{len(tests)}: {name} completed\n")
+        except Exception as e:
+            print(f"\n❌ Test {i}/{len(tests)}: {name} failed: {e}\n")
+            import traceback
+            traceback.print_exc()
+
+    print("=" * 70)
+    print("🎉 All Docker client hook examples completed!")
+    print("\n💡 Key Benefits of Function-Based Hooks:")
+    print("   • Write as regular Python functions")
+    print("   • Full IDE support (autocomplete, types)")
+    print("   • Automatic conversion to API format")
+    print("   • Reusable across projects")
+    print("   • Clean, readable code")
+    print("   • Easy to test and debug")
+    print("=" * 70)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/docs/examples/docker_hooks_examples.py b/docs/examples/docker_hooks_examples.py
new file mode 100644
index 00000000..a9c94d03
--- /dev/null
+++ b/docs/examples/docker_hooks_examples.py
@@ -0,0 +1,513 @@
+#!/usr/bin/env python3
+"""
+Comprehensive test demonstrating all hook types from hooks_example.py
+adapted for the Docker API with real URLs
+"""
+
+import requests
+import json
+import time
+from typing import Dict, Any
+
+# API_BASE_URL = "http://localhost:11234"
+API_BASE_URL = "http://localhost:11235"
+
+
+def test_all_hooks_demo():
+    """Demonstrate all 8 hook types with practical examples"""
+    print("=" * 70)
+    print("Testing: All Hooks Comprehensive Demo")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_browser_created": """
+async def hook(browser, **kwargs):
+    # Hook called after browser is created
+    print("[HOOK] on_browser_created - Browser is ready!")
+    # Browser-level configurations would go here
+    return browser
+""",
+        
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Hook called after a new page and context are created
+    print("[HOOK] on_page_context_created - New page created!")
+    
+    # Set viewport size for consistent rendering
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    
+    # Add cookies for the session (using httpbin.org domain)
+    await context.add_cookies([
+        {
+            "name": "test_session",
+            "value": "abc123xyz",
+            "domain": ".httpbin.org",
+            "path": "/",
+            "httpOnly": True,
+            "secure": True
+        }
+    ])
+    
+    # Block ads and tracking scripts to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
+    await context.route("**/analytics/*", lambda route: route.abort())
+    await context.route("**/ads/*", lambda route: route.abort())
+    
+    print("[HOOK] Viewport set, cookies added, and ads blocked")
+    return page
+""",
+        
+        "on_user_agent_updated": """
+async def hook(page, context, user_agent, **kwargs):
+    # Hook called when user agent is updated
+    print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
+    return page
+""",
+        
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    # Hook called before navigating to each URL
+    print(f"[HOOK] before_goto - About to visit: {url}")
+    
+    # Add custom headers for the request
+    await page.set_extra_http_headers({
+        "X-Custom-Header": "crawl4ai-test",
+        "Accept-Language": "en-US,en;q=0.9",
+        "DNT": "1"
+    })
+    
+    return page
+""",
+        
+        "after_goto": """
+async def hook(page, context, url, response, **kwargs):
+    # Hook called after navigating to each URL
+    print(f"[HOOK] after_goto - Successfully loaded: {url}")
+    
+    # Wait a moment for dynamic content to load
+    await page.wait_for_timeout(1000)
+    
+    # Check if specific elements exist (with error handling)
+    try:
+        # For httpbin.org, wait for body element
+        await page.wait_for_selector("body", timeout=2000)
+        print("[HOOK] Body element found and loaded")
+    except:
+        print("[HOOK] Timeout waiting for body, continuing anyway")
+    
+    return page
+""",
+        
+        "on_execution_started": """
+async def hook(page, context, **kwargs):
+    # Hook called after custom JavaScript execution
+    print("[HOOK] on_execution_started - Custom JS executed!")
+    
+    # You could inject additional JavaScript here if needed
+    await page.evaluate("console.log('[INJECTED] Hook JS running');")
+    
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Hook called before retrieving the HTML content
+    print("[HOOK] before_retrieve_html - Preparing to get HTML")
+    
+    # Scroll to bottom to trigger lazy loading
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+    await page.wait_for_timeout(500)
+    
+    # Scroll back to top
+    await page.evaluate("window.scrollTo(0, 0);")
+    await page.wait_for_timeout(500)
+    
+    # One more scroll to middle for good measure
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
+    
+    print("[HOOK] Scrolling completed for lazy-loaded content")
+    return page
+""",
+        
+        "before_return_html": """
+async def hook(page, context, html, **kwargs):
+    # Hook called before returning the HTML content
+    print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
+    
+    # Log some page metrics
+    metrics = await page.evaluate('''() => {
+        return {
+            images: document.images.length,
+            links: document.links.length,
+            scripts: document.scripts.length
+        }
+    }''')
+    
+    print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
+    
+    return page
+"""
+    }
+    
+    # Create request payload
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 30
+        },
+        "crawler_config": {
+            "js_code": "window.scrollTo(0, document.body.scrollHeight);",
+            "wait_for": "body",
+            "cache_mode": "bypass"
+        }
+    }
+    
+    print("\nSending request with all 8 hooks...")
+    start_time = time.time()
+    
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    elapsed_time = time.time() - start_time
+    print(f"Request completed in {elapsed_time:.2f} seconds")
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("\n✅ Request successful!")
+        
+        # Check hooks execution
+        if 'hooks' in data:
+            hooks_info = data['hooks']
+            print("\n📊 Hooks Execution Summary:")
+            print(f"  Status: {hooks_info['status']['status']}")
+            print(f"  Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
+            
+            for hook_name in hooks_info['status']['attached_hooks']:
+                print(f"    ✓ {hook_name}")
+            
+            if 'summary' in hooks_info:
+                summary = hooks_info['summary']
+                print(f"\n📈 Execution Statistics:")
+                print(f"  Total executions: {summary['total_executions']}")
+                print(f"  Successful: {summary['successful']}")
+                print(f"  Failed: {summary['failed']}")
+                print(f"  Timed out: {summary['timed_out']}")
+                print(f"  Success rate: {summary['success_rate']:.1f}%")
+            
+            if hooks_info.get('execution_log'):
+                print(f"\n📝 Execution Log:")
+                for log_entry in hooks_info['execution_log']:
+                    status_icon = "✅" if log_entry['status'] == 'success' else "❌"
+                    exec_time = log_entry.get('execution_time', 0)
+                    print(f"  {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
+        
+        # Check crawl results
+        if 'results' in data and len(data['results']) > 0:
+            print(f"\n📄 Crawl Results:")
+            for result in data['results']:
+                print(f"  URL: {result['url']}")
+                print(f"  Success: {result.get('success', False)}")
+                if result.get('html'):
+                    print(f"  HTML length: {len(result['html'])} characters")
+    
+    else:
+        print(f"❌ Error: {response.status_code}")
+        try:
+            error_data = response.json()
+            print(f"Error details: {json.dumps(error_data, indent=2)}")
+        except:
+            print(f"Error text: {response.text[:500]}")
+
+
+def test_authentication_flow():
+    """Test a complete authentication flow with multiple hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: Authentication Flow with Multiple Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Setting up authentication context")
+    
+    # Add authentication cookies
+    await context.add_cookies([
+        {
+            "name": "auth_token",
+            "value": "fake_jwt_token_here",
+            "domain": ".httpbin.org",
+            "path": "/",
+            "httpOnly": True,
+            "secure": True
+        }
+    ])
+    
+    # Set localStorage items (for SPA authentication)
+    await page.evaluate('''
+        localStorage.setItem('user_id', '12345');
+        localStorage.setItem('auth_time', new Date().toISOString());
+    ''')
+    
+    return page
+""",
+        
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"[HOOK] Adding auth headers for {url}")
+    
+    # Add Authorization header
+    import base64
+    credentials = base64.b64encode(b"user:passwd").decode('ascii')
+    
+    await page.set_extra_http_headers({
+        'Authorization': f'Basic {credentials}',
+        'X-API-Key': 'test-api-key-123'
+    })
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": [
+            "https://httpbin.org/basic-auth/user/passwd"
+        ],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 15
+        }
+    }
+    
+    print("\nTesting authentication with httpbin endpoints...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Authentication test completed")
+        
+        if 'results' in data:
+            for i, result in enumerate(data['results']):
+                print(f"\n  URL {i+1}: {result['url']}")
+                if result.get('success'):
+                    # Check for authentication success indicators
+                    html_content = result.get('html', '')
+                    if '"authenticated"' in html_content and 'true' in html_content:
+                        print("    ✅ Authentication successful! Basic auth worked.")
+                    else:
+                        print("    ⚠️ Page loaded but auth status unclear")
+                else:
+                    print(f"    ❌ Failed: {result.get('error_message', 'Unknown error')}")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def test_performance_optimization_hooks():
+    """Test hooks for performance optimization"""
+    print("\n" + "=" * 70)
+    print("Testing: Performance Optimization Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Optimizing page for performance")
+    
+    # Block resource-heavy content
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
+    await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
+    await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
+    await context.route("**/googletagmanager.com/*", lambda route: route.abort())
+    await context.route("**/google-analytics.com/*", lambda route: route.abort())
+    await context.route("**/doubleclick.net/*", lambda route: route.abort())
+    await context.route("**/facebook.com/*", lambda route: route.abort())
+    
+    # Disable animations and transitions
+    await page.add_style_tag(content='''
+        *, *::before, *::after {
+            animation-duration: 0s !important;
+            animation-delay: 0s !important;
+            transition-duration: 0s !important;
+            transition-delay: 0s !important;
+        }
+    ''')
+    
+    print("[HOOK] Performance optimizations applied")
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Removing unnecessary elements before extraction")
+    
+    # Remove ads, popups, and other unnecessary elements
+    await page.evaluate('''() => {
+        // Remove common ad containers
+        const adSelectors = [
+            '.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
+            '.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
+        ];
+        
+        adSelectors.forEach(selector => {
+            document.querySelectorAll(selector).forEach(el => el.remove());
+        });
+        
+        // Remove script tags to clean up HTML
+        document.querySelectorAll('script').forEach(el => el.remove());
+        
+        // Remove style tags we don't need
+        document.querySelectorAll('style').forEach(el => el.remove());
+    }''')
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 10
+        }
+    }
+    
+    print("\nTesting performance optimization hooks...")
+    start_time = time.time()
+    
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    elapsed_time = time.time() - start_time
+    print(f"Request completed in {elapsed_time:.2f} seconds")
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Performance optimization test completed")
+        
+        if 'results' in data and len(data['results']) > 0:
+            result = data['results'][0]
+            if result.get('html'):
+                print(f"  HTML size: {len(result['html'])} characters")
+                print("  Resources blocked, ads removed, animations disabled")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def test_content_extraction_hooks():
+    """Test hooks for intelligent content extraction"""
+    print("\n" + "=" * 70)
+    print("Testing: Content Extraction Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "after_goto": """
+async def hook(page, context, url, response, **kwargs):
+    print(f"[HOOK] Waiting for dynamic content on {url}")
+    
+    # Wait for any lazy-loaded content
+    await page.wait_for_timeout(2000)
+    
+    # Trigger any "Load More" buttons
+    try:
+        load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
+        if load_more:
+            await load_more.click()
+            await page.wait_for_timeout(1000)
+            print("[HOOK] Clicked 'Load More' button")
+    except:
+        pass
+    
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Extracting structured data")
+    
+    # Extract metadata
+    metadata = await page.evaluate('''() => {
+        const getMeta = (name) => {
+            const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
+            return element ? element.getAttribute('content') : null;
+        };
+        
+        return {
+            title: document.title,
+            description: getMeta('description') || getMeta('og:description'),
+            author: getMeta('author'),
+            keywords: getMeta('keywords'),
+            ogTitle: getMeta('og:title'),
+            ogImage: getMeta('og:image'),
+            canonical: document.querySelector('link[rel="canonical"]')?.href,
+            jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
+                .map(el => el.textContent).filter(Boolean)
+        };
+    }''')
+    
+    print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
+    
+    # Infinite scroll handling
+    for i in range(3):
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+        await page.wait_for_timeout(1000)
+        print(f"[HOOK] Scroll iteration {i+1}/3")
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 20
+        }
+    }
+    
+    print("\nTesting content extraction hooks...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Content extraction test completed")
+        
+        if 'hooks' in data and 'summary' in data['hooks']:
+            summary = data['hooks']['summary']
+            print(f"  Hooks executed: {summary['successful']}/{summary['total_executions']}")
+        
+        if 'results' in data:
+            for result in data['results']:
+                print(f"\n  URL: {result['url']}")
+                print(f"  Success: {result.get('success', False)}")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def main():
+    """Run comprehensive hook tests"""
+    print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
+    print("Based on docs/examples/hooks_example.py")
+    print("=" * 70)
+    
+    tests = [
+        ("All Hooks Demo", test_all_hooks_demo),
+        ("Authentication Flow", test_authentication_flow),
+        ("Performance Optimization", test_performance_optimization_hooks),
+        ("Content Extraction", test_content_extraction_hooks),
+    ]
+    
+    for i, (name, test_func) in enumerate(tests, 1):
+        print(f"\n📌 Test {i}/{len(tests)}: {name}")
+        try:
+            test_func()
+            print(f"✅ {name} completed")
+        except Exception as e:
+            print(f"❌ {name} failed: {e}")
+            import traceback
+            traceback.print_exc()
+    
+    print("\n" + "=" * 70)
+    print("🎉 All comprehensive hook tests completed!")
+    print("=" * 70)
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/docs/examples/docker_webhook_example.py b/docs/examples/docker_webhook_example.py
new file mode 100644
index 00000000..f05d3501
--- /dev/null
+++ b/docs/examples/docker_webhook_example.py
@@ -0,0 +1,461 @@
+"""
+Docker Webhook Example for Crawl4AI
+
+This example demonstrates how to use webhooks with the Crawl4AI job queue API.
+Instead of polling for results, webhooks notify your application when jobs complete.
+
+Supports both:
+- /crawl/job - Raw crawling with markdown extraction
+- /llm/job - LLM-powered content extraction
+
+Prerequisites:
+1. Crawl4AI Docker container running on localhost:11235
+2. Flask installed: pip install flask requests
+3. LLM API key configured in .llm.env (for LLM extraction examples)
+
+Usage:
+1. Run this script: python docker_webhook_example.py
+2. The webhook server will start on http://localhost:8080
+3. Jobs will be submitted and webhooks will be received automatically
+"""
+
+import requests
+import json
+import time
+from flask import Flask, request, jsonify
+from threading import Thread
+
+# Configuration
+CRAWL4AI_BASE_URL = "http://localhost:11235"
+WEBHOOK_BASE_URL = "http://localhost:8080"  # Your webhook receiver URL
+
+# Initialize Flask app for webhook receiver
+app = Flask(__name__)
+
+# Store received webhook data for demonstration
+received_webhooks = []
+
+
+@app.route('/webhooks/crawl-complete', methods=['POST'])
+def handle_crawl_webhook():
+    """
+    Webhook handler that receives notifications when crawl jobs complete.
+
+    Payload structure:
+    {
+        "task_id": "crawl_abc123",
+        "task_type": "crawl",
+        "status": "completed" or "failed",
+        "timestamp": "2025-10-21T10:30:00.000000+00:00",
+        "urls": ["https://example.com"],
+        "error": "error message" (only if failed),
+        "data": {...} (only if webhook_data_in_payload=True)
+    }
+    """
+    payload = request.json
+    print(f"\n{'='*60}")
+    print(f"📬 Webhook received for task: {payload['task_id']}")
+    print(f"   Status: {payload['status']}")
+    print(f"   Timestamp: {payload['timestamp']}")
+    print(f"   URLs: {payload['urls']}")
+
+    if payload['status'] == 'completed':
+        # If data is in payload, process it directly
+        if 'data' in payload:
+            print(f"   ✅ Data included in webhook")
+            data = payload['data']
+            # Process the crawl results here
+            for result in data.get('results', []):
+                print(f"      - Crawled: {result.get('url')}")
+                print(f"      - Markdown length: {len(result.get('markdown', ''))}")
+        else:
+            # Fetch results from API if not included
+            print(f"   📥 Fetching results from API...")
+            task_id = payload['task_id']
+            result_response = requests.get(f"{CRAWL4AI_BASE_URL}/crawl/job/{task_id}")
+            if result_response.ok:
+                data = result_response.json()
+                print(f"   ✅ Results fetched successfully")
+                # Process the crawl results here
+                for result in data['result'].get('results', []):
+                    print(f"      - Crawled: {result.get('url')}")
+                    print(f"      - Markdown length: {len(result.get('markdown', ''))}")
+
+    elif payload['status'] == 'failed':
+        print(f"   ❌ Job failed: {payload.get('error', 'Unknown error')}")
+
+    print(f"{'='*60}\n")
+
+    # Store webhook for demonstration
+    received_webhooks.append(payload)
+
+    # Return 200 OK to acknowledge receipt
+    return jsonify({"status": "received"}), 200
+
+
+@app.route('/webhooks/llm-complete', methods=['POST'])
+def handle_llm_webhook():
+    """
+    Webhook handler that receives notifications when LLM extraction jobs complete.
+
+    Payload structure:
+    {
+        "task_id": "llm_1698765432_12345",
+        "task_type": "llm_extraction",
+        "status": "completed" or "failed",
+        "timestamp": "2025-10-21T10:30:00.000000+00:00",
+        "urls": ["https://example.com/article"],
+        "error": "error message" (only if failed),
+        "data": {"extracted_content": {...}} (only if webhook_data_in_payload=True)
+    }
+    """
+    payload = request.json
+    print(f"\n{'='*60}")
+    print(f"🤖 LLM Webhook received for task: {payload['task_id']}")
+    print(f"   Task Type: {payload['task_type']}")
+    print(f"   Status: {payload['status']}")
+    print(f"   Timestamp: {payload['timestamp']}")
+    print(f"   URL: {payload['urls'][0]}")
+
+    if payload['status'] == 'completed':
+        # If data is in payload, process it directly
+        if 'data' in payload:
+            print(f"   ✅ Data included in webhook")
+            data = payload['data']
+            # Webhook wraps extracted content in 'extracted_content' field
+            extracted = data.get('extracted_content', {})
+            print(f"      - Extracted content:")
+            print(f"        {json.dumps(extracted, indent=8)}")
+        else:
+            # Fetch results from API if not included
+            print(f"   📥 Fetching results from API...")
+            task_id = payload['task_id']
+            result_response = requests.get(f"{CRAWL4AI_BASE_URL}/llm/job/{task_id}")
+            if result_response.ok:
+                data = result_response.json()
+                print(f"   ✅ Results fetched successfully")
+                # API returns unwrapped content in 'result' field
+                extracted = data['result']
+                print(f"      - Extracted content:")
+                print(f"        {json.dumps(extracted, indent=8)}")
+
+    elif payload['status'] == 'failed':
+        print(f"   ❌ Job failed: {payload.get('error', 'Unknown error')}")
+
+    print(f"{'='*60}\n")
+
+    # Store webhook for demonstration
+    received_webhooks.append(payload)
+
+    # Return 200 OK to acknowledge receipt
+    return jsonify({"status": "received"}), 200
+
+
+def start_webhook_server():
+    """Start the Flask webhook server in a separate thread"""
+    app.run(host='0.0.0.0', port=8080, debug=False, use_reloader=False)
+
+
+def submit_crawl_job_with_webhook(urls, webhook_url, include_data=False):
+    """
+    Submit a crawl job with webhook notification.
+
+    Args:
+        urls: List of URLs to crawl
+        webhook_url: URL to receive webhook notifications
+        include_data: Whether to include full results in webhook payload
+
+    Returns:
+        task_id: The job's task identifier
+    """
+    payload = {
+        "urls": urls,
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"},
+        "webhook_config": {
+            "webhook_url": webhook_url,
+            "webhook_data_in_payload": include_data,
+            # Optional: Add custom headers for authentication
+            # "webhook_headers": {
+            #     "X-Webhook-Secret": "your-secret-token"
+            # }
+        }
+    }
+
+    print(f"\n🚀 Submitting crawl job...")
+    print(f"   URLs: {urls}")
+    print(f"   Webhook: {webhook_url}")
+    print(f"   Include data: {include_data}")
+
+    response = requests.post(
+        f"{CRAWL4AI_BASE_URL}/crawl/job",
+        json=payload,
+        headers={"Content-Type": "application/json"}
+    )
+
+    if response.ok:
+        data = response.json()
+        task_id = data['task_id']
+        print(f"   ✅ Job submitted successfully")
+        print(f"   Task ID: {task_id}")
+        return task_id
+    else:
+        print(f"   ❌ Failed to submit job: {response.text}")
+        return None
+
+
+def submit_llm_job_with_webhook(url, query, webhook_url, include_data=False, schema=None, provider=None):
+    """
+    Submit an LLM extraction job with webhook notification.
+
+    Args:
+        url: URL to extract content from
+        query: Instruction for the LLM (e.g., "Extract article title and author")
+        webhook_url: URL to receive webhook notifications
+        include_data: Whether to include full results in webhook payload
+        schema: Optional JSON schema for structured extraction
+        provider: Optional LLM provider (e.g., "openai/gpt-4o-mini")
+
+    Returns:
+        task_id: The job's task identifier
+    """
+    payload = {
+        "url": url,
+        "q": query,
+        "cache": False,
+        "webhook_config": {
+            "webhook_url": webhook_url,
+            "webhook_data_in_payload": include_data,
+            # Optional: Add custom headers for authentication
+            # "webhook_headers": {
+            #     "X-Webhook-Secret": "your-secret-token"
+            # }
+        }
+    }
+
+    if schema:
+        payload["schema"] = schema
+
+    if provider:
+        payload["provider"] = provider
+
+    print(f"\n🤖 Submitting LLM extraction job...")
+    print(f"   URL: {url}")
+    print(f"   Query: {query}")
+    print(f"   Webhook: {webhook_url}")
+    print(f"   Include data: {include_data}")
+    if provider:
+        print(f"   Provider: {provider}")
+
+    response = requests.post(
+        f"{CRAWL4AI_BASE_URL}/llm/job",
+        json=payload,
+        headers={"Content-Type": "application/json"}
+    )
+
+    if response.ok:
+        data = response.json()
+        task_id = data['task_id']
+        print(f"   ✅ Job submitted successfully")
+        print(f"   Task ID: {task_id}")
+        return task_id
+    else:
+        print(f"   ❌ Failed to submit job: {response.text}")
+        return None
+
+
+def submit_job_without_webhook(urls):
+    """
+    Submit a job without webhook (traditional polling approach).
+
+    Args:
+        urls: List of URLs to crawl
+
+    Returns:
+        task_id: The job's task identifier
+    """
+    payload = {
+        "urls": urls,
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"}
+    }
+
+    print(f"\n🚀 Submitting crawl job (without webhook)...")
+    print(f"   URLs: {urls}")
+
+    response = requests.post(
+        f"{CRAWL4AI_BASE_URL}/crawl/job",
+        json=payload
+    )
+
+    if response.ok:
+        data = response.json()
+        task_id = data['task_id']
+        print(f"   ✅ Job submitted successfully")
+        print(f"   Task ID: {task_id}")
+        return task_id
+    else:
+        print(f"   ❌ Failed to submit job: {response.text}")
+        return None
+
+
+def poll_job_status(task_id, timeout=60):
+    """
+    Poll for job status (used when webhook is not configured).
+
+    Args:
+        task_id: The job's task identifier
+        timeout: Maximum time to wait in seconds
+    """
+    print(f"\n⏳ Polling for job status...")
+    start_time = time.time()
+
+    while time.time() - start_time < timeout:
+        response = requests.get(f"{CRAWL4AI_BASE_URL}/crawl/job/{task_id}")
+
+        if response.ok:
+            data = response.json()
+            status = data.get('status', 'unknown')
+
+            if status == 'completed':
+                print(f"   ✅ Job completed!")
+                return data
+            elif status == 'failed':
+                print(f"   ❌ Job failed: {data.get('error', 'Unknown error')}")
+                return data
+            else:
+                print(f"   ⏳ Status: {status}, waiting...")
+                time.sleep(2)
+        else:
+            print(f"   ❌ Failed to get status: {response.text}")
+            return None
+
+    print(f"   ⏰ Timeout reached")
+    return None
+
+
+def main():
+    """Run the webhook demonstration"""
+
+    # Check if Crawl4AI is running
+    try:
+        health = requests.get(f"{CRAWL4AI_BASE_URL}/health", timeout=5)
+        print(f"✅ Crawl4AI is running: {health.json()}")
+    except:
+        print(f"❌ Cannot connect to Crawl4AI at {CRAWL4AI_BASE_URL}")
+        print("   Please make sure Docker container is running:")
+        print("   docker run -d -p 11235:11235 --name crawl4ai unclecode/crawl4ai:latest")
+        return
+
+    # Start webhook server in background thread
+    print(f"\n🌐 Starting webhook server at {WEBHOOK_BASE_URL}...")
+    webhook_thread = Thread(target=start_webhook_server, daemon=True)
+    webhook_thread.start()
+    time.sleep(2)  # Give server time to start
+
+    # Example 1: Job with webhook (notification only, fetch data separately)
+    print(f"\n{'='*60}")
+    print("Example 1: Webhook Notification Only")
+    print(f"{'='*60}")
+    task_id_1 = submit_crawl_job_with_webhook(
+        urls=["https://example.com"],
+        webhook_url=f"{WEBHOOK_BASE_URL}/webhooks/crawl-complete",
+        include_data=False
+    )
+
+    # Example 2: Job with webhook (data included in payload)
+    time.sleep(5)  # Wait a bit between requests
+    print(f"\n{'='*60}")
+    print("Example 2: Webhook with Full Data")
+    print(f"{'='*60}")
+    task_id_2 = submit_crawl_job_with_webhook(
+        urls=["https://www.python.org"],
+        webhook_url=f"{WEBHOOK_BASE_URL}/webhooks/crawl-complete",
+        include_data=True
+    )
+
+    # Example 3: LLM extraction with webhook (notification only)
+    time.sleep(5)  # Wait a bit between requests
+    print(f"\n{'='*60}")
+    print("Example 3: LLM Extraction with Webhook (Notification Only)")
+    print(f"{'='*60}")
+    task_id_3 = submit_llm_job_with_webhook(
+        url="https://www.example.com",
+        query="Extract the main heading and description from this page.",
+        webhook_url=f"{WEBHOOK_BASE_URL}/webhooks/llm-complete",
+        include_data=False,
+        provider="openai/gpt-4o-mini"
+    )
+
+    # Example 4: LLM extraction with webhook (data included + schema)
+    time.sleep(5)  # Wait a bit between requests
+    print(f"\n{'='*60}")
+    print("Example 4: LLM Extraction with Schema and Full Data")
+    print(f"{'='*60}")
+
+    # Define a schema for structured extraction
+    schema = json.dumps({
+        "type": "object",
+        "properties": {
+            "title": {"type": "string", "description": "Page title"},
+            "description": {"type": "string", "description": "Page description"}
+        },
+        "required": ["title"]
+    })
+
+    task_id_4 = submit_llm_job_with_webhook(
+        url="https://www.python.org",
+        query="Extract the title and description of this website",
+        webhook_url=f"{WEBHOOK_BASE_URL}/webhooks/llm-complete",
+        include_data=True,
+        schema=schema,
+        provider="openai/gpt-4o-mini"
+    )
+
+    # Example 5: Traditional polling (no webhook)
+    time.sleep(5)  # Wait a bit between requests
+    print(f"\n{'='*60}")
+    print("Example 5: Traditional Polling (No Webhook)")
+    print(f"{'='*60}")
+    task_id_5 = submit_job_without_webhook(
+        urls=["https://github.com"]
+    )
+    if task_id_5:
+        result = poll_job_status(task_id_5)
+        if result and result.get('status') == 'completed':
+            print(f"   ✅ Results retrieved via polling")
+
+    # Wait for webhooks to arrive
+    print(f"\n⏳ Waiting for webhooks to be received...")
+    time.sleep(30)  # Give jobs time to complete and webhooks to arrive (longer for LLM)
+
+    # Summary
+    print(f"\n{'='*60}")
+    print("Summary")
+    print(f"{'='*60}")
+    print(f"Total webhooks received: {len(received_webhooks)}")
+
+    crawl_webhooks = [w for w in received_webhooks if w['task_type'] == 'crawl']
+    llm_webhooks = [w for w in received_webhooks if w['task_type'] == 'llm_extraction']
+
+    print(f"\n📊 Breakdown:")
+    print(f"   - Crawl webhooks: {len(crawl_webhooks)}")
+    print(f"   - LLM extraction webhooks: {len(llm_webhooks)}")
+
+    print(f"\n📋 Details:")
+    for i, webhook in enumerate(received_webhooks, 1):
+        task_type = webhook['task_type']
+        icon = "🕷️" if task_type == "crawl" else "🤖"
+        print(f"{i}. {icon} Task {webhook['task_id']}: {webhook['status']} ({task_type})")
+
+    print(f"\n✅ Demo completed!")
+    print(f"\n💡 Pro tips:")
+    print(f"   - In production, your webhook URL should be publicly accessible")
+    print(f"     (e.g., https://myapp.com/webhooks) or use ngrok for testing")
+    print(f"   - Both /crawl/job and /llm/job support the same webhook configuration")
+    print(f"   - Use webhook_data_in_payload=true to get results directly in the webhook")
+    print(f"   - LLM jobs may take longer, adjust timeouts accordingly")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/docs/examples/website-to-api/.gitignore b/docs/examples/website-to-api/.gitignore
new file mode 100644
index 00000000..8e884174
--- /dev/null
+++ b/docs/examples/website-to-api/.gitignore
@@ -0,0 +1,221 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[codz]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py.cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+#poetry.toml
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#   pdm recommends including project-wide configuration in pdm.toml, but excluding .pdm-python.
+#   https://pdm-project.org/en/latest/usage/project/#working-with-version-control
+#pdm.lock
+#pdm.toml
+.pdm-python
+.pdm-build/
+
+# pixi
+#   Similar to Pipfile.lock, it is generally recommended to include pixi.lock in version control.
+#pixi.lock
+#   Pixi creates a virtual environment in the .pixi directory, just like venv module creates one
+#   in the .venv directory. It is recommended not to include this directory in version control.
+.pixi
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# Redis 
+*.rdb
+*.aof
+*.pid
+
+# RabbitMQ
+mnesia/
+rabbitmq/
+rabbitmq-data/
+
+# ActiveMQ
+activemq-data/
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.envrc
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Abstra
+# Abstra is an AI-powered process automation framework.
+# Ignore directories containing user credentials, local state, and settings.
+# Learn more at https://abstra.io/docs
+.abstra/
+
+# Visual Studio Code
+#  Visual Studio Code specific template is maintained in a separate VisualStudioCode.gitignore 
+#  that can be found at https://github.com/github/gitignore/blob/main/Global/VisualStudioCode.gitignore
+#  and can be added to the global gitignore or merged into this file. However, if you prefer, 
+#  you could uncomment the following to ignore the entire vscode folder
+# .vscode/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc
+
+# Marimo
+marimo/_static/
+marimo/_lsp/
+__marimo__/
+
+# Streamlit
+.streamlit/secrets.toml
+
+#directories
+models
+schemas
+saved_requests
\ No newline at end of file
diff --git a/docs/examples/website-to-api/README.md b/docs/examples/website-to-api/README.md
new file mode 100644
index 00000000..12ba4c4e
--- /dev/null
+++ b/docs/examples/website-to-api/README.md
@@ -0,0 +1,252 @@
+# Web Scraper API with Custom Model Support
+
+A powerful web scraping API that converts any website into structured data using AI. Features a beautiful minimalist frontend interface and support for custom LLM models!
+
+## Features
+
+- **AI-Powered Scraping**: Provide a URL and plain English query to extract structured data
+- **Beautiful Frontend**: Modern minimalist black-and-white interface with smooth UX
+- **Custom Model Support**: Use any LLM provider (OpenAI, Gemini, Anthropic, etc.) with your own API keys
+- **Model Management**: Save, list, and manage multiple model configurations via web interface
+- **Dual Scraping Approaches**: Choose between Schema-based (faster) or LLM-based (more flexible) extraction
+- **API Request History**: Automatic saving and display of all API requests with cURL commands
+- **Schema Caching**: Intelligent caching of generated schemas for faster subsequent requests
+- **Duplicate Prevention**: Avoids saving duplicate requests (same URL + query)
+- **RESTful API**: Easy-to-use HTTP endpoints for all operations
+
+## Quick Start
+
+### 1. Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 2. Start the API Server
+
+```bash
+python app.py
+```
+
+The server will start on `http://localhost:8000` with a beautiful web interface!
+
+### 3. Using the Web Interface
+
+Once the server is running, open your browser and go to `http://localhost:8000` to access the modern web interface!
+
+#### Pages:
+- **Scrape Data**: Enter URLs and queries to extract structured data
+- **Models**: Manage your AI model configurations (add, list, delete)
+- **API Requests**: View history of all scraping requests with cURL commands
+
+#### Features:
+- **Minimalist Design**: Clean black-and-white theme inspired by modern web apps
+- **Real-time Results**: See extracted data in formatted JSON
+- **Copy to Clipboard**: Easy copying of results
+- **Toast Notifications**: User-friendly feedback
+- **Dual Scraping Modes**: Choose between Schema-based and LLM-based approaches
+
+## Model Management
+
+### Adding Models via Web Interface
+
+1. Go to the **Models** page
+2. Enter your model details:
+   - **Provider**: LLM provider (e.g., `gemini/gemini-2.5-flash`, `openai/gpt-4o`)
+   - **API Token**: Your API key for the provider
+3. Click "Add Model"
+
+### API Usage for Model Management
+
+#### Save a Model Configuration
+
+```bash
+curl -X POST "http://localhost:8000/models" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "provider": "gemini/gemini-2.5-flash",
+    "api_token": "your-api-key-here"
+  }'
+```
+
+#### List Saved Models
+
+```bash
+curl -X GET "http://localhost:8000/models"
+```
+
+#### Delete a Model Configuration
+
+```bash
+curl -X DELETE "http://localhost:8000/models/my-gemini"
+```
+
+## Scraping Approaches
+
+### 1. Schema-based Scraping (Faster)
+- Generates CSS selectors for targeted extraction
+- Caches schemas for repeated requests
+- Faster execution for structured websites
+
+### 2. LLM-based Scraping (More Flexible)
+- Direct LLM extraction without schema generation
+- More flexible for complex or dynamic content
+- Better for unstructured data extraction
+
+## Supported LLM Providers
+
+The API supports any LLM provider that crawl4ai supports, including:
+
+- **Google Gemini**: `gemini/gemini-2.5-flash`, `gemini/gemini-pro`
+- **OpenAI**: `openai/gpt-4`, `openai/gpt-3.5-turbo`
+- **Anthropic**: `anthropic/claude-3-opus`, `anthropic/claude-3-sonnet`
+- **And more...**
+
+## API Endpoints
+
+### Core Endpoints
+
+- `POST /scrape` - Schema-based scraping
+- `POST /scrape-with-llm` - LLM-based scraping
+- `GET /schemas` - List cached schemas
+- `POST /clear-cache` - Clear schema cache
+- `GET /health` - Health check
+
+### Model Management Endpoints
+
+- `GET /models` - List saved model configurations
+- `POST /models` - Save a new model configuration
+- `DELETE /models/{model_name}` - Delete a model configuration
+
+### API Request History
+
+- `GET /saved-requests` - List all saved API requests
+- `DELETE /saved-requests/{request_id}` - Delete a saved request
+
+## Request/Response Examples
+
+### Scrape Request
+
+```json
+{
+  "url": "https://example.com",
+  "query": "Extract the product name, price, and description",
+  "model_name": "my-custom-model"
+}
+```
+
+### Scrape Response
+
+```json
+{
+  "success": true,
+  "url": "https://example.com",
+  "query": "Extract the product name, price, and description",
+  "extracted_data": {
+    "product_name": "Example Product",
+    "price": "$99.99",
+    "description": "This is an example product description"
+  },
+  "schema_used": { ... },
+  "timestamp": "2024-01-01T12:00:00Z"
+}
+```
+
+### Model Configuration Request
+
+```json
+{
+  "provider": "gemini/gemini-2.5-flash",
+  "api_token": "your-api-key-here"
+}
+```
+
+## Testing
+
+Run the test script to verify the model management functionality:
+
+```bash
+python test_models.py
+```
+
+## File Structure
+
+```
+parse_example/
+├── api_server.py          # FastAPI server with all endpoints
+├── web_scraper_lib.py     # Core scraping library
+├── test_models.py         # Test script for model management
+├── requirements.txt       # Dependencies
+├── static/               # Frontend files
+│   ├── index.html        # Main HTML interface
+│   ├── styles.css        # CSS styles (minimalist theme)
+│   └── script.js         # JavaScript functionality
+├── schemas/              # Cached schemas
+├── models/               # Saved model configurations
+├── saved_requests/       # API request history
+└── README.md            # This file
+```
+
+## Advanced Usage
+
+### Using the Library Directly
+
+```python
+from web_scraper_lib import WebScraperAgent
+
+# Initialize agent
+agent = WebScraperAgent()
+
+# Save a model configuration
+agent.save_model_config(
+    model_name="my-model",
+    provider="openai/gpt-4",
+    api_token="your-api-key"
+)
+
+# Schema-based scraping
+result = await agent.scrape_data(
+    url="https://example.com",
+    query="Extract product information",
+    model_name="my-model"
+)
+
+# LLM-based scraping
+result = await agent.scrape_data_with_llm(
+    url="https://example.com",
+    query="Extract product information",
+    model_name="my-model"
+)
+```
+
+### Schema Caching
+
+The system automatically caches generated schemas based on URL and query combinations:
+
+- **First request**: Generates schema using AI
+- **Subsequent requests**: Uses cached schema for faster extraction
+
+### API Request History
+
+All API requests are automatically saved with:
+- Request details (URL, query, model used)
+- Response data
+- Timestamp
+- cURL command for re-execution
+
+### Duplicate Prevention
+
+The system prevents saving duplicate requests:
+- Same URL + query combinations are not saved multiple times
+- Returns existing request ID for duplicates
+- Keeps the API request history clean
+
+## Error Handling
+
+The API provides detailed error messages for common issues:
+
+- Invalid URLs
+- Missing model configurations
+- API key errors
+- Network timeouts
+- Parsing errors
diff --git a/docs/examples/website-to-api/api_server.py b/docs/examples/website-to-api/api_server.py
new file mode 100644
index 00000000..0d4982ed
--- /dev/null
+++ b/docs/examples/website-to-api/api_server.py
@@ -0,0 +1,363 @@
+from fastapi import FastAPI, HTTPException
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+from pydantic import BaseModel, HttpUrl
+from typing import Dict, Any, Optional, Union, List
+import uvicorn
+import asyncio
+import os
+import json
+from datetime import datetime
+from web_scraper_lib import WebScraperAgent, scrape_website
+
+app = FastAPI(
+    title="Web Scraper API",
+    description="Convert any website into a structured data API. Provide a URL and tell AI what data you need in plain English.",
+    version="1.0.0"
+)
+
+# Mount static files
+if os.path.exists("static"):
+    app.mount("/static", StaticFiles(directory="static"), name="static")
+
+# Mount assets directory
+if os.path.exists("assets"):
+    app.mount("/assets", StaticFiles(directory="assets"), name="assets")
+
+# Initialize the scraper agent
+scraper_agent = WebScraperAgent()
+
+# Create directory for saved API requests
+os.makedirs("saved_requests", exist_ok=True)
+
+class ScrapeRequest(BaseModel):
+    url: HttpUrl
+    query: str
+    model_name: Optional[str] = None
+
+class ModelConfigRequest(BaseModel):
+    model_name: str
+    provider: str
+    api_token: str
+
+class ScrapeResponse(BaseModel):
+    success: bool
+    url: str
+    query: str
+    extracted_data: Union[Dict[str, Any], list]
+    schema_used: Optional[Dict[str, Any]] = None
+    timestamp: Optional[str] = None
+    error: Optional[str] = None
+
+class SavedApiRequest(BaseModel):
+    id: str
+    endpoint: str
+    method: str
+    headers: Dict[str, str]
+    body: Dict[str, Any]
+    timestamp: str
+    response: Optional[Dict[str, Any]] = None
+
+def save_api_request(endpoint: str, method: str, headers: Dict[str, str], body: Dict[str, Any], response: Optional[Dict[str, Any]] = None) -> str:
+    """Save an API request to a JSON file."""
+    
+    # Check for duplicate requests (same URL and query)
+    if endpoint in ["/scrape", "/scrape-with-llm"] and "url" in body and "query" in body:
+        existing_requests = get_saved_requests()
+        for existing_request in existing_requests:
+            if (existing_request.endpoint == endpoint and 
+                existing_request.body.get("url") == body["url"] and 
+                existing_request.body.get("query") == body["query"]):
+                print(f"Duplicate request found for URL: {body['url']} and query: {body['query']}")
+                return existing_request.id  # Return existing request ID instead of creating new one
+    
+    request_id = datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3]
+    
+    saved_request = SavedApiRequest(
+        id=request_id,
+        endpoint=endpoint,
+        method=method,
+        headers=headers,
+        body=body,
+        timestamp=datetime.now().isoformat(),
+        response=response
+    )
+    
+    file_path = os.path.join("saved_requests", f"{request_id}.json")
+    with open(file_path, "w") as f:
+        json.dump(saved_request.dict(), f, indent=2)
+    
+    return request_id
+
+def get_saved_requests() -> List[SavedApiRequest]:
+    """Get all saved API requests."""
+    requests = []
+    if os.path.exists("saved_requests"):
+        for filename in os.listdir("saved_requests"):
+            if filename.endswith('.json'):
+                file_path = os.path.join("saved_requests", filename)
+                try:
+                    with open(file_path, "r") as f:
+                        data = json.load(f)
+                        requests.append(SavedApiRequest(**data))
+                except Exception as e:
+                    print(f"Error loading saved request {filename}: {e}")
+    
+    # Sort by timestamp (newest first)
+    requests.sort(key=lambda x: x.timestamp, reverse=True)
+    return requests
+
+@app.get("/")
+async def root():
+    """Serve the frontend interface."""
+    if os.path.exists("static/index.html"):
+        return FileResponse("static/index.html")
+    else:
+        return {
+            "message": "Web Scraper API",
+            "description": "Convert any website into structured data with AI",
+            "endpoints": {
+                "/scrape": "POST - Scrape data from a website",
+                "/schemas": "GET - List cached schemas",
+                "/clear-cache": "POST - Clear schema cache",
+                "/models": "GET - List saved model configurations",
+                "/models": "POST - Save a new model configuration",
+                "/models/{model_name}": "DELETE - Delete a model configuration",
+                "/saved-requests": "GET - List saved API requests"
+            }
+        }
+
+@app.post("/scrape", response_model=ScrapeResponse)
+async def scrape_website_endpoint(request: ScrapeRequest):
+    """
+    Scrape structured data from any website.
+    
+    This endpoint:
+    1. Takes a URL and plain English query
+    2. Generates a custom scraper using AI
+    3. Returns structured data
+    """
+    try:
+        # Save the API request
+        headers = {"Content-Type": "application/json"}
+        body = {
+            "url": str(request.url),
+            "query": request.query,
+            "model_name": request.model_name
+        }
+        
+        result = await scraper_agent.scrape_data(
+            url=str(request.url),
+            query=request.query,
+            model_name=request.model_name
+        )
+        
+        response_data = ScrapeResponse(
+            success=True,
+            url=result["url"],
+            query=result["query"],
+            extracted_data=result["extracted_data"],
+            schema_used=result["schema_used"],
+            timestamp=result["timestamp"]
+        )
+        
+        # Save the request with response
+        save_api_request(
+            endpoint="/scrape",
+            method="POST",
+            headers=headers,
+            body=body,
+            response=response_data.dict()
+        )
+        
+        return response_data
+    
+    except Exception as e:
+        # Save the failed request
+        headers = {"Content-Type": "application/json"}
+        body = {
+            "url": str(request.url),
+            "query": request.query,
+            "model_name": request.model_name
+        }
+        
+        save_api_request(
+            endpoint="/scrape",
+            method="POST",
+            headers=headers,
+            body=body,
+            response={"error": str(e)}
+        )
+        
+        raise HTTPException(status_code=500, detail=f"Scraping failed: {str(e)}")
+
+@app.post("/scrape-with-llm", response_model=ScrapeResponse)
+async def scrape_website_endpoint_with_llm(request: ScrapeRequest):
+    """
+    Scrape structured data from any website using a custom LLM model.
+    """
+    try:
+        # Save the API request
+        headers = {"Content-Type": "application/json"}
+        body = {
+            "url": str(request.url),
+            "query": request.query,
+            "model_name": request.model_name
+        }
+        
+        result = await scraper_agent.scrape_data_with_llm(
+            url=str(request.url),
+            query=request.query,
+            model_name=request.model_name
+        )
+        
+        response_data = ScrapeResponse(
+            success=True,
+            url=result["url"],
+            query=result["query"],
+            extracted_data=result["extracted_data"],
+            timestamp=result["timestamp"]
+        )
+        
+        # Save the request with response
+        save_api_request(
+            endpoint="/scrape-with-llm",
+            method="POST",
+            headers=headers,
+            body=body,
+            response=response_data.dict()
+        )
+        
+        return response_data
+    
+    except Exception as e:
+        # Save the failed request
+        headers = {"Content-Type": "application/json"}
+        body = {
+            "url": str(request.url),
+            "query": request.query,
+            "model_name": request.model_name
+        }
+        
+        save_api_request(
+            endpoint="/scrape-with-llm",
+            method="POST",
+            headers=headers,
+            body=body,
+            response={"error": str(e)}
+        )
+        
+        raise HTTPException(status_code=500, detail=f"Scraping failed: {str(e)}")
+
+@app.get("/saved-requests")
+async def list_saved_requests():
+    """List all saved API requests."""
+    try:
+        requests = get_saved_requests()
+        return {
+            "success": True,
+            "requests": [req.dict() for req in requests],
+            "count": len(requests)
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to list saved requests: {str(e)}")
+
+@app.delete("/saved-requests/{request_id}")
+async def delete_saved_request(request_id: str):
+    """Delete a saved API request."""
+    try:
+        file_path = os.path.join("saved_requests", f"{request_id}.json")
+        if os.path.exists(file_path):
+            os.remove(file_path)
+            return {
+                "success": True,
+                "message": f"Saved request '{request_id}' deleted successfully"
+            }
+        else:
+            raise HTTPException(status_code=404, detail=f"Saved request '{request_id}' not found")
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to delete saved request: {str(e)}")
+
+@app.get("/schemas")
+async def list_cached_schemas():
+    """List all cached schemas."""
+    try:
+        schemas = await scraper_agent.get_cached_schemas()
+        return {
+            "success": True,
+            "cached_schemas": schemas,
+            "count": len(schemas)
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to list schemas: {str(e)}")
+
+@app.post("/clear-cache")
+async def clear_schema_cache():
+    """Clear all cached schemas."""
+    try:
+        scraper_agent.clear_cache()
+        return {
+            "success": True,
+            "message": "Schema cache cleared successfully"
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to clear cache: {str(e)}")
+
+@app.get("/models")
+async def list_models():
+    """List all saved model configurations."""
+    try:
+        models = scraper_agent.list_saved_models()
+        return {
+            "success": True,
+            "models": models,
+            "count": len(models)
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to list models: {str(e)}")
+
+@app.post("/models")
+async def save_model_config(request: ModelConfigRequest):
+    """Save a new model configuration."""
+    try:
+        success = scraper_agent.save_model_config(
+            model_name=request.model_name,
+            provider=request.provider,
+            api_token=request.api_token
+        )
+        
+        if success:
+            return {
+                "success": True,
+                "message": f"Model configuration '{request.model_name}' saved successfully"
+            }
+        else:
+            raise HTTPException(status_code=500, detail="Failed to save model configuration")
+    
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to save model: {str(e)}")
+
+@app.delete("/models/{model_name}")
+async def delete_model_config(model_name: str):
+    """Delete a model configuration."""
+    try:
+        success = scraper_agent.delete_model_config(model_name)
+        
+        if success:
+            return {
+                "success": True,
+                "message": f"Model configuration '{model_name}' deleted successfully"
+            }
+        else:
+            raise HTTPException(status_code=404, detail=f"Model configuration '{model_name}' not found")
+    
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to delete model: {str(e)}")
+
+@app.get("/health")
+async def health_check():
+    """Health check endpoint."""
+    return {"status": "healthy", "service": "web-scraper-api"}
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)
\ No newline at end of file
diff --git a/docs/examples/website-to-api/app.py b/docs/examples/website-to-api/app.py
new file mode 100644
index 00000000..45710506
--- /dev/null
+++ b/docs/examples/website-to-api/app.py
@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+"""
+Startup script for the Web Scraper API with frontend interface.
+"""
+
+import os
+import sys
+import uvicorn
+from pathlib import Path
+
+def main():
+    # Check if static directory exists
+    static_dir = Path("static")
+    if not static_dir.exists():
+        print("❌ Static directory not found!")
+        print("Please make sure the 'static' directory exists with the frontend files.")
+        sys.exit(1)
+    
+    # Check if required frontend files exist
+    required_files = ["index.html", "styles.css", "script.js"]
+    missing_files = []
+    
+    for file in required_files:
+        if not (static_dir / file).exists():
+            missing_files.append(file)
+    
+    if missing_files:
+        print(f"❌ Missing frontend files: {', '.join(missing_files)}")
+        print("Please make sure all frontend files are present in the static directory.")
+        sys.exit(1)
+    
+    print("🚀 Starting Web Scraper API with Frontend Interface")
+    print("=" * 50)
+    print("📁 Static files found and ready to serve")
+    print("🌐 Frontend will be available at: http://localhost:8000")
+    print("🔌 API endpoints available at: http://localhost:8000/docs")
+    print("=" * 50)
+    
+    # Start the server
+    uvicorn.run(
+        "api_server:app",
+        host="0.0.0.0",
+        port=8000,
+        reload=True,
+        log_level="info"
+    )
+
+if __name__ == "__main__":
+    main() 
\ No newline at end of file
diff --git a/docs/examples/website-to-api/assets/crawl4ai_logo.jpg b/docs/examples/website-to-api/assets/crawl4ai_logo.jpg
new file mode 100644
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diff --git a/docs/examples/website-to-api/requirements.txt b/docs/examples/website-to-api/requirements.txt
new file mode 100644
index 00000000..dc0dc30a
--- /dev/null
+++ b/docs/examples/website-to-api/requirements.txt
@@ -0,0 +1,5 @@
+crawl4ai
+fastapi
+uvicorn
+pydantic
+litellm
\ No newline at end of file
diff --git a/docs/examples/website-to-api/static/index.html b/docs/examples/website-to-api/static/index.html
new file mode 100644
index 00000000..07341976
--- /dev/null
+++ b/docs/examples/website-to-api/static/index.html
@@ -0,0 +1,201 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Web2API Example</title>
+    <link rel="stylesheet" href="/static/styles.css">
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
+</head>
+<body>
+    <!-- Header -->
+    <header class="header">
+        <div class="header-content">
+            <div class="logo">
+                <img src="/assets/crawl4ai_logo.jpg" alt="Crawl4AI Logo" class="logo-image">
+                <span>Web2API Example</span>
+            </div>
+            <nav class="nav-links">
+                <a href="#" class="nav-link active" data-page="scrape">Scrape</a>
+                <a href="#" class="nav-link" data-page="models">Models</a>
+                <a href="#" class="nav-link" data-page="requests">API Requests</a>
+            </nav>
+        </div>
+    </header>
+
+    <!-- Main Content -->
+    <main class="main-content">
+        <!-- Scrape Page -->
+        <div id="scrape-page" class="page active">
+            <div class="hero-section">
+                <h1 class="hero-title">Turn Any Website Into An API</h1>
+                <p class="hero-subtitle">This example shows how to turn any website into an API using Crawl4AI.</p>
+            </div>
+
+            <!-- Workflow Demonstration -->
+            <div class="workflow-demo">
+                <div class="workflow-step">
+                    <h3 class="step-title">1. Your Request</h3>
+                    <div class="request-box">
+                        <div class="input-group">
+                            <label>URL:</label>
+                            <input type="url" id="url" name="url" placeholder="https://example-bookstore.com/new-releases" required>
+                        </div>
+                        <div class="input-group">
+                            <label>QUERY:</label>
+                            <textarea id="query" name="query" placeholder="Extract all the book titles, their authors, and the biography of the author" required></textarea>
+                        </div>
+                        <div class="form-options">
+                            <div class="option-group">
+                                <label for="scraping-approach">Approach:</label>
+                                <select id="scraping-approach" name="scraping_approach">
+                                    <option value="llm">LLM-based (More Flexible)</option>
+                                    <option value="schema">Schema-based (Uses LLM once!)</option>
+                                </select>
+                            </div>
+                            <div class="option-group">
+                                <label for="model-select">Model:</label>
+                                <select id="model-select" name="model_name" required>
+                                    <option value="">Select a Model</option>
+                                </select>
+                            </div>
+                        </div>
+                        <button type="submit" id="extract-btn" class="extract-btn">
+                            <i class="fas fa-magic"></i>
+                            Extract Data
+                        </button>
+                    </div>
+                </div>
+
+                <div class="workflow-arrow">→</div>
+
+                <div class="workflow-step">
+                    <h3 class="step-title">2. Your Instant API & Data</h3>
+                    <div class="response-container">
+                        <div class="api-request-box">
+                            <label>API Request (cURL):</label>
+                            <pre id="curl-example">curl -X POST http://localhost:8000/scrape -H "Content-Type: application/json" -d '{"url": "...", "query": "..."}'
+
+# Or for LLM-based approach:
+curl -X POST http://localhost:8000/scrape-with-llm -H "Content-Type: application/json" -d '{"url": "...", "query": "..."}'</pre>
+                        </div>
+                        <div class="json-response-box">
+                            <label>JSON Response:</label>
+                            <pre id="json-output">{
+  "success": true,
+  "extracted_data": [
+    {
+      "title": "Example Book",
+      "author": "John Doe",
+      "description": "A great book..."
+    }
+  ]
+}</pre>
+                        </div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- Results Section -->
+            <div id="results-section" class="results-section" style="display: none;">
+                <div class="results-header">
+                    <h2>Extracted Data</h2>
+                    <button id="copy-json" class="copy-btn">
+                        <i class="fas fa-copy"></i>
+                        Copy JSON
+                    </button>
+                </div>
+                <div class="results-content">
+                    <div class="result-info">
+                        <div class="info-item">
+                            <span class="label">URL:</span>
+                            <span id="result-url" class="value"></span>
+                        </div>
+                        <div class="info-item">
+                            <span class="label">Query:</span>
+                            <span id="result-query" class="value"></span>
+                        </div>
+                        <div class="info-item">
+                            <span class="label">Model Used:</span>
+                            <span id="result-model" class="value"></span>
+                        </div>
+                    </div>
+                    <div class="json-display">
+                        <pre id="actual-json-output"></pre>
+                    </div>
+                </div>
+            </div>
+
+            <!-- Loading State -->
+            <div id="loading" class="loading" style="display: none;">
+                <div class="spinner"></div>
+                <p>AI is analyzing the website and extracting data...</p>
+            </div>
+        </div>
+
+        <!-- Models Page -->
+        <div id="models-page" class="page">
+            <div class="models-header">
+                <h1>Model Configuration</h1>
+                <p>Configure and manage your AI model configurations</p>
+            </div>
+
+            <div class="models-container">
+                <!-- Add New Model Form -->
+                <div class="model-form-section">
+                    <h3>Add New Model</h3>
+                    <form id="model-form" class="model-form">
+                        <div class="form-row">
+                            <div class="input-group">
+                                <label for="model-name">Model Name:</label>
+                                <input type="text" id="model-name" name="model_name" placeholder="my-gemini" required>
+                            </div>
+                            <div class="input-group">
+                                <label for="provider">Provider:</label>
+                                <input type="text" id="provider" name="provider" placeholder="gemini/gemini-2.5-flash" required>
+                            </div>
+                        </div>
+                        
+                        <div class="input-group">
+                            <label for="api-token">API Token:</label>
+                            <input type="password" id="api-token" name="api_token" placeholder="Enter your API token" required>
+                        </div>
+
+                        <button type="submit" class="save-btn">
+                            <i class="fas fa-save"></i>
+                            Save Model
+                        </button>
+                    </form>
+                </div>
+
+                <!-- Saved Models List -->
+                <div class="saved-models-section">
+                    <h3>Saved Models</h3>
+                    <div id="models-list" class="models-list">
+                        <!-- Models will be loaded here -->
+                    </div>
+                </div>
+            </div>
+        </div>
+
+        <!-- API Requests Page -->
+        <div id="requests-page" class="page">
+            <div class="requests-header">
+                <h1>Saved API Requests</h1>
+                <p>View and manage your previous API requests</p>
+            </div>
+
+            <div class="requests-container">
+                <div class="requests-list" id="requests-list">
+                    <!-- Saved requests will be loaded here -->
+                </div>
+            </div>
+        </div>
+    </main>
+
+    <!-- Toast Notifications -->
+    <div id="toast-container" class="toast-container"></div>
+
+    <script src="/static/script.js"></script>
+</body>
+</html> 
\ No newline at end of file
diff --git a/docs/examples/website-to-api/static/script.js b/docs/examples/website-to-api/static/script.js
new file mode 100644
index 00000000..921598a7
--- /dev/null
+++ b/docs/examples/website-to-api/static/script.js
@@ -0,0 +1,401 @@
+// API Configuration
+const API_BASE_URL = 'http://localhost:8000';
+
+// DOM Elements
+const navLinks = document.querySelectorAll('.nav-link');
+const pages = document.querySelectorAll('.page');
+const scrapeForm = document.getElementById('scrape-form');
+const modelForm = document.getElementById('model-form');
+const modelSelect = document.getElementById('model-select');
+const modelsList = document.getElementById('models-list');
+const resultsSection = document.getElementById('results-section');
+const loadingSection = document.getElementById('loading');
+const copyJsonBtn = document.getElementById('copy-json');
+
+// Navigation
+navLinks.forEach(link => {
+    link.addEventListener('click', (e) => {
+        e.preventDefault();
+        const targetPage = link.dataset.page;
+        
+        // Update active nav link
+        navLinks.forEach(l => l.classList.remove('active'));
+        link.classList.add('active');
+        
+        // Show target page
+        pages.forEach(page => page.classList.remove('active'));
+        document.getElementById(`${targetPage}-page`).classList.add('active');
+        
+        // Load data for the page
+        if (targetPage === 'models') {
+            loadModels();
+        } else if (targetPage === 'requests') {
+            loadSavedRequests();
+        }
+    });
+});
+
+// Scrape Form Handler
+document.getElementById('extract-btn').addEventListener('click', async (e) => {
+    e.preventDefault();
+    
+    // Scroll to results section immediately when button is clicked
+    document.getElementById('results-section').scrollIntoView({ 
+        behavior: 'smooth', 
+        block: 'start' 
+    });
+    
+    const url = document.getElementById('url').value;
+    const query = document.getElementById('query').value;
+    const headless = true; // Always use headless mode
+    const model_name = document.getElementById('model-select').value || null;
+    const scraping_approach = document.getElementById('scraping-approach').value;
+    
+    if (!url || !query) {
+        showToast('Please fill in both URL and query fields', 'error');
+        return;
+    }
+    
+    if (!model_name) {
+        showToast('Please select a model from the dropdown or add one from the Models page', 'error');
+        return;
+    }
+    
+    const data = {
+        url: url,
+        query: query,
+        headless: headless,
+        model_name: model_name
+    };
+    
+    // Show loading state
+    showLoading(true);
+    hideResults();
+    
+    try {
+        // Choose endpoint based on scraping approach
+        const endpoint = scraping_approach === 'llm' ? '/scrape-with-llm' : '/scrape';
+        
+        const response = await fetch(`${API_BASE_URL}${endpoint}`, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json'
+            },
+            body: JSON.stringify(data)
+        });
+        
+        const result = await response.json();
+        
+        if (response.ok) {
+            displayResults(result);
+            showToast(`Data extracted successfully using ${scraping_approach === 'llm' ? 'LLM-based' : 'Schema-based'} approach!`, 'success');
+        } else {
+            throw new Error(result.detail || 'Failed to extract data');
+        }
+    } catch (error) {
+        console.error('Scraping error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    } finally {
+        showLoading(false);
+    }
+});
+
+// Model Form Handler
+modelForm.addEventListener('submit', async (e) => {
+    e.preventDefault();
+    
+    const formData = new FormData(modelForm);
+    const data = {
+        model_name: formData.get('model_name'),
+        provider: formData.get('provider'),
+        api_token: formData.get('api_token')
+    };
+    
+    try {
+        const response = await fetch(`${API_BASE_URL}/models`, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json'
+            },
+            body: JSON.stringify(data)
+        });
+        
+        const result = await response.json();
+        
+        if (response.ok) {
+            showToast('Model saved successfully!', 'success');
+            modelForm.reset();
+            loadModels();
+            loadModelSelect();
+        } else {
+            throw new Error(result.detail || 'Failed to save model');
+        }
+    } catch (error) {
+        console.error('Model save error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    }
+});
+
+// Copy JSON Button
+copyJsonBtn.addEventListener('click', () => {
+    const actualJsonOutput = document.getElementById('actual-json-output');
+    const textToCopy = actualJsonOutput.textContent;
+    
+    navigator.clipboard.writeText(textToCopy).then(() => {
+        showToast('JSON copied to clipboard!', 'success');
+    }).catch(() => {
+        showToast('Failed to copy JSON', 'error');
+    });
+});
+
+// Load Models
+async function loadModels() {
+    try {
+        const response = await fetch(`${API_BASE_URL}/models`);
+        const result = await response.json();
+        
+        if (response.ok) {
+            displayModels(result.models);
+        } else {
+            throw new Error(result.detail || 'Failed to load models');
+        }
+    } catch (error) {
+        console.error('Load models error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    }
+}
+
+// Display Models
+function displayModels(models) {
+    if (models.length === 0) {
+        modelsList.innerHTML = '<p style="text-align: center; color: #7f8c8d; padding: 2rem;">No models saved yet. Add your first model above!</p>';
+        return;
+    }
+    
+    modelsList.innerHTML = models.map(model => `
+        <div class="model-card">
+            <div class="model-info">
+                <div class="model-name">${model}</div>
+                <div class="model-provider">Model Configuration</div>
+            </div>
+            <div class="model-actions">
+                <button class="btn btn-danger" onclick="deleteModel('${model}')">
+                    <i class="fas fa-trash"></i>
+                    Delete
+                </button>
+            </div>
+        </div>
+    `).join('');
+}
+
+// Delete Model
+async function deleteModel(modelName) {
+    if (!confirm(`Are you sure you want to delete the model "${modelName}"?`)) {
+        return;
+    }
+    
+    try {
+        const response = await fetch(`${API_BASE_URL}/models/${modelName}`, {
+            method: 'DELETE'
+        });
+        
+        const result = await response.json();
+        
+        if (response.ok) {
+            showToast('Model deleted successfully!', 'success');
+            loadModels();
+            loadModelSelect();
+        } else {
+            throw new Error(result.detail || 'Failed to delete model');
+        }
+    } catch (error) {
+        console.error('Delete model error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    }
+}
+
+// Load Model Select Options
+async function loadModelSelect() {
+    try {
+        const response = await fetch(`${API_BASE_URL}/models`);
+        const result = await response.json();
+        
+        if (response.ok) {
+            // Clear existing options
+            modelSelect.innerHTML = '<option value="">Select a Model</option>';
+            
+            // Add model options
+            result.models.forEach(model => {
+                const option = document.createElement('option');
+                option.value = model;
+                option.textContent = model;
+                modelSelect.appendChild(option);
+            });
+        }
+    } catch (error) {
+        console.error('Load model select error:', error);
+    }
+}
+
+// Display Results
+function displayResults(result) {
+    // Update result info
+    document.getElementById('result-url').textContent = result.url;
+    document.getElementById('result-query').textContent = result.query;
+    document.getElementById('result-model').textContent = result.model_name || 'Default Model';
+    
+    // Display JSON in the actual results section
+    const actualJsonOutput = document.getElementById('actual-json-output');
+    actualJsonOutput.textContent = JSON.stringify(result.extracted_data, null, 2);
+    
+    // Don't update the sample JSON in the workflow demo - keep it as example
+    
+    // Update the cURL example based on the approach used
+    const scraping_approach = document.getElementById('scraping-approach').value;
+    const endpoint = scraping_approach === 'llm' ? '/scrape-with-llm' : '/scrape';
+    const curlExample = document.getElementById('curl-example');
+    curlExample.textContent = `curl -X POST http://localhost:8000${endpoint} -H "Content-Type: application/json" -d '{"url": "${result.url}", "query": "${result.query}"}'`;
+    
+    // Show results section
+    resultsSection.style.display = 'block';
+    resultsSection.scrollIntoView({ behavior: 'smooth' });
+}
+
+// Show/Hide Loading
+function showLoading(show) {
+    loadingSection.style.display = show ? 'block' : 'none';
+}
+
+// Hide Results
+function hideResults() {
+    resultsSection.style.display = 'none';
+}
+
+// Toast Notifications
+function showToast(message, type = 'info') {
+    const toastContainer = document.getElementById('toast-container');
+    const toast = document.createElement('div');
+    toast.className = `toast ${type}`;
+    
+    const icon = type === 'success' ? 'fas fa-check-circle' : 
+                 type === 'error' ? 'fas fa-exclamation-circle' : 
+                 'fas fa-info-circle';
+    
+    toast.innerHTML = `
+        <i class="${icon}"></i>
+        <span>${message}</span>
+    `;
+    
+    toastContainer.appendChild(toast);
+    
+    // Auto remove after 5 seconds
+    setTimeout(() => {
+        toast.remove();
+    }, 5000);
+}
+
+// Load Saved Requests
+async function loadSavedRequests() {
+    try {
+        const response = await fetch(`${API_BASE_URL}/saved-requests`);
+        const result = await response.json();
+        
+        if (response.ok) {
+            displaySavedRequests(result.requests);
+        } else {
+            throw new Error(result.detail || 'Failed to load saved requests');
+        }
+    } catch (error) {
+        console.error('Load saved requests error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    }
+}
+
+// Display Saved Requests
+function displaySavedRequests(requests) {
+    const requestsList = document.getElementById('requests-list');
+    
+    if (requests.length === 0) {
+        requestsList.innerHTML = '<p style="text-align: center; color: #CCCCCC; padding: 2rem;">No saved API requests yet. Make your first request from the Scrape page!</p>';
+        return;
+    }
+    
+    requestsList.innerHTML = requests.map(request => {
+        const url = request.body.url;
+        const query = request.body.query;
+        const model = request.body.model_name || 'Default Model';
+        const endpoint = request.endpoint;
+        
+        // Create curl command
+        const curlCommand = `curl -X POST http://localhost:8000${endpoint} \\
+  -H "Content-Type: application/json" \\
+  -d '{
+    "url": "${url}",
+    "query": "${query}",
+    "model_name": "${model}"
+  }'`;
+        
+        return `
+            <div class="request-card">
+                <div class="request-header">
+                    <div class="request-info">
+                        <div class="request-url">${url}</div>
+                        <div class="request-query">${query}</div>
+                    </div>
+                    <div class="request-actions">
+                        <button class="btn-danger" onclick="deleteSavedRequest('${request.id}')">
+                            <i class="fas fa-trash"></i>
+                            Delete
+                        </button>
+                    </div>
+                </div>
+                
+                <div class="request-curl">
+                    <h4>cURL Command:</h4>
+                    <pre>${curlCommand}</pre>
+                </div>
+            </div>
+        `;
+    }).join('');
+}
+
+// Delete Saved Request
+async function deleteSavedRequest(requestId) {
+    if (!confirm('Are you sure you want to delete this saved request?')) {
+        return;
+    }
+    
+    try {
+        const response = await fetch(`${API_BASE_URL}/saved-requests/${requestId}`, {
+            method: 'DELETE'
+        });
+        
+        const result = await response.json();
+        
+        if (response.ok) {
+            showToast('Saved request deleted successfully!', 'success');
+            loadSavedRequests();
+        } else {
+            throw new Error(result.detail || 'Failed to delete saved request');
+        }
+    } catch (error) {
+        console.error('Delete saved request error:', error);
+        showToast(`Error: ${error.message}`, 'error');
+    }
+}
+
+// Initialize
+document.addEventListener('DOMContentLoaded', () => {
+    loadModelSelect();
+    
+    // Check if API is available
+    fetch(`${API_BASE_URL}/health`)
+        .then(response => {
+            if (!response.ok) {
+                showToast('Warning: API server might not be running', 'error');
+            }
+        })
+        .catch(() => {
+            showToast('Warning: Cannot connect to API server. Make sure it\'s running on localhost:8000', 'error');
+        });
+}); 
\ No newline at end of file
diff --git a/docs/examples/website-to-api/static/styles.css b/docs/examples/website-to-api/static/styles.css
new file mode 100644
index 00000000..66d39760
--- /dev/null
+++ b/docs/examples/website-to-api/static/styles.css
@@ -0,0 +1,765 @@
+/* Reset and Base Styles */
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+    background: #000000;
+    color: #FFFFFF;
+    line-height: 1.6;
+    font-size: 16px;
+}
+
+/* Header */
+.header {
+    border-bottom: 1px solid #333;
+    padding: 1rem 0;
+    background: #000000;
+    position: sticky;
+    top: 0;
+    z-index: 100;
+}
+
+.header-content {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.logo {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    font-size: 1.5rem;
+    font-weight: 600;
+    color: #FFFFFF;
+}
+
+.logo-image {
+    width: 40px;
+    height: 40px;
+    border-radius: 4px;
+    object-fit: contain;
+}
+
+.nav-links {
+    display: flex;
+    gap: 2rem;
+}
+
+.nav-link {
+    color: #CCCCCC;
+    text-decoration: none;
+    font-weight: 500;
+    transition: color 0.2s ease;
+}
+
+.nav-link:hover,
+.nav-link.active {
+    color: #FFFFFF;
+}
+
+/* Main Content */
+.main-content {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 2rem;
+}
+
+.page {
+    display: none;
+}
+
+.page.active {
+    display: block;
+}
+
+/* Hero Section */
+.hero-section {
+    text-align: center;
+    margin-bottom: 4rem;
+    padding: 2rem 0;
+}
+
+.hero-title {
+    font-size: 3rem;
+    font-weight: 700;
+    color: #FFFFFF;
+    margin-bottom: 1rem;
+    line-height: 1.2;
+}
+
+.hero-subtitle {
+    font-size: 1.25rem;
+    color: #CCCCCC;
+    max-width: 600px;
+    margin: 0 auto;
+}
+
+/* Workflow Demo */
+.workflow-demo {
+    display: grid;
+    grid-template-columns: 1fr auto 1fr;
+    gap: 2rem;
+    align-items: start;
+    margin-bottom: 4rem;
+}
+
+.workflow-step {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+}
+
+.step-title {
+    font-size: 1.25rem;
+    font-weight: 600;
+    color: #FFFFFF;
+    text-align: center;
+    margin-bottom: 1rem;
+}
+
+.workflow-arrow {
+    font-size: 2rem;
+    font-weight: 700;
+    color: #09b5a5;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    margin-top: 20rem;
+}
+
+/* Request Box */
+.request-box {
+    border: 2px solid #333;
+    border-radius: 8px;
+    padding: 2rem;
+    background: #111111;
+}
+
+.input-group {
+    margin-bottom: 1.5rem;
+}
+
+.input-group label {
+    display: block;
+    font-family: 'Courier New', monospace;
+    font-weight: 600;
+    color: #FFFFFF;
+    margin-bottom: 0.5rem;
+    font-size: 0.9rem;
+}
+
+.input-group input,
+.input-group textarea,
+.input-group select {
+    width: 100%;
+    padding: 0.75rem;
+    border: 1px solid #333;
+    border-radius: 4px;
+    font-family: 'Courier New', monospace;
+    font-size: 0.9rem;
+    background: #1A1A1A;
+    color: #FFFFFF;
+    transition: border-color 0.2s ease;
+}
+
+.input-group input:focus,
+.input-group textarea:focus,
+.input-group select:focus {
+    outline: none;
+    border-color: #09b5a5;
+}
+
+.input-group textarea {
+    min-height: 80px;
+    resize: vertical;
+}
+
+.form-options {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 1rem;
+    margin-bottom: 1.5rem;
+}
+
+.option-group {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+}
+
+.option-group label {
+    font-family: 'Courier New', monospace;
+    font-weight: 600;
+    color: #FFFFFF;
+    font-size: 0.9rem;
+}
+
+.option-group input[type="checkbox"] {
+    width: auto;
+    margin-right: 0.5rem;
+}
+
+.extract-btn {
+    width: 100%;
+    padding: 1rem;
+    background: #09b5a5;
+    color: #000000;
+    border: none;
+    border-radius: 4px;
+    font-size: 1rem;
+    font-weight: 600;
+    cursor: pointer;
+    transition: background-color 0.2s ease;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    gap: 0.5rem;
+}
+
+.extract-btn:hover {
+    background: #09b5a5;
+}
+
+/* Dropdown specific styling */
+select,
+.input-group select,
+.option-group select {
+    cursor: pointer !important;
+    appearance: none !important;
+    -webkit-appearance: none !important;
+    -moz-appearance: none !important;
+    -ms-appearance: none !important;
+    background-image: url("data:image/svg+xml;charset=UTF-8,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 24 24' fill='none' stroke='%23FFFFFF' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3e%3cpolyline points='6,9 12,15 18,9'%3e%3c/polyline%3e%3c/svg%3e") !important;
+    background-repeat: no-repeat !important;
+    background-position: right 0.75rem center !important;
+    background-size: 1rem !important;
+    padding-right: 2.5rem !important;
+    border: 1px solid #333 !important;
+    border-radius: 4px !important;
+    font-family: 'Courier New', monospace !important;
+    font-size: 0.9rem !important;
+    background-color: #1A1A1A !important;
+    color: #FFFFFF !important;
+}
+
+select:hover,
+.input-group select:hover,
+.option-group select:hover {
+    border-color: #09b5a5 !important;
+}
+
+select:focus,
+.input-group select:focus,
+.option-group select:focus {
+    outline: none !important;
+    border-color: #09b5a5 !important;
+}
+
+select option,
+.input-group select option,
+.option-group select option {
+    background: #1A1A1A !important;
+    color: #FFFFFF !important;
+    padding: 0.5rem !important;
+}
+
+/* Response Container */
+.response-container {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+}
+
+.api-request-box,
+.json-response-box {
+    border: 2px solid #333;
+    border-radius: 8px;
+    padding: 1.5rem;
+    background: #111111;
+}
+
+.api-request-box label,
+.json-response-box label {
+    display: block;
+    font-family: 'Courier New', monospace;
+    font-weight: 600;
+    color: #FFFFFF;
+    margin-bottom: 0.5rem;
+    font-size: 0.9rem;
+}
+
+.api-request-box pre,
+.json-response-box pre {
+    font-family: 'Courier New', monospace;
+    font-size: 0.85rem;
+    line-height: 1.5;
+    color: #FFFFFF;
+    background: #1A1A1A;
+    padding: 1rem;
+    border-radius: 4px;
+    overflow-x: auto;
+    white-space: pre-wrap;
+    word-break: break-all;
+}
+
+/* Results Section */
+.results-section {
+    border: 2px solid #333;
+    border-radius: 8px;
+    overflow: hidden;
+    margin-top: 2rem;
+    background: #111111;
+}
+
+.results-header {
+    background: #1A1A1A;
+    color: #FFFFFF;
+    padding: 1rem 1.5rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    border-bottom: 1px solid #333;
+}
+
+.results-header h2 {
+    font-size: 1.25rem;
+    font-weight: 600;
+    color: #FFFFFF;
+}
+
+.copy-btn {
+    background: #09b5a5;
+    color: #000000;
+    border: none;
+    padding: 0.5rem 1rem;
+    border-radius: 4px;
+    font-size: 0.9rem;
+    font-weight: 600;
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    transition: background-color 0.2s ease;
+}
+
+.copy-btn:hover {
+    background: #09b5a5;
+}
+
+.results-content {
+    padding: 1.5rem;
+}
+
+.result-info {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+    margin-bottom: 1.5rem;
+    padding: 1rem;
+    background: #1A1A1A;
+    border-radius: 4px;
+    border: 1px solid #333;
+}
+
+.info-item {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+}
+
+.info-item .label {
+    font-weight: 600;
+    color: #FFFFFF;
+    font-size: 0.9rem;
+}
+
+.info-item .value {
+    color: #CCCCCC;
+    word-break: break-all;
+}
+
+.json-display {
+    background: #1A1A1A;
+    border-radius: 4px;
+    overflow: hidden;
+    border: 1px solid #333;
+}
+
+.json-display pre {
+    color: #FFFFFF;
+    padding: 1.5rem;
+    margin: 0;
+    overflow-x: auto;
+    font-family: 'Courier New', monospace;
+    font-size: 0.9rem;
+    line-height: 1.5;
+}
+
+/* Loading State */
+.loading {
+    text-align: center;
+    padding: 3rem;
+}
+
+.spinner {
+    width: 40px;
+    height: 40px;
+    border: 3px solid #333;
+    border-top: 3px solid #09b5a5;
+    border-radius: 50%;
+    animation: spin 1s linear infinite;
+    margin: 0 auto 1rem;
+}
+
+@keyframes spin {
+    0% { transform: rotate(0deg); }
+    100% { transform: rotate(360deg); }
+}
+
+/* Models Page */
+.models-header {
+    text-align: center;
+    margin-bottom: 3rem;
+}
+
+.models-header h1 {
+    font-size: 2.5rem;
+    font-weight: 700;
+    color: #FFFFFF;
+    margin-bottom: 1rem;
+}
+
+.models-header p {
+    font-size: 1.1rem;
+    color: #CCCCCC;
+}
+
+/* API Requests Page */
+.requests-header {
+    text-align: center;
+    margin-bottom: 3rem;
+}
+
+.requests-header h1 {
+    font-size: 2.5rem;
+    font-weight: 700;
+    color: #FFFFFF;
+    margin-bottom: 1rem;
+}
+
+.requests-header p {
+    font-size: 1.1rem;
+    color: #CCCCCC;
+}
+
+.requests-container {
+    max-width: 1200px;
+    margin: 0 auto;
+}
+
+.requests-list {
+    display: grid;
+    gap: 1.5rem;
+}
+
+.request-card {
+    border: 2px solid #333;
+    border-radius: 8px;
+    padding: 1.5rem;
+    background: #111111;
+    transition: border-color 0.2s ease;
+}
+
+.request-card:hover {
+    border-color: #09b5a5;
+}
+
+.request-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 1rem;
+    padding-bottom: 1rem;
+    border-bottom: 1px solid #333;
+}
+
+.request-info {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+}
+
+.request-url {
+    font-family: 'Courier New', monospace;
+    font-weight: 600;
+    color: #09b5a5;
+    font-size: 1.1rem;
+    word-break: break-all;
+}
+
+.request-query {
+    color: #CCCCCC;
+    font-size: 0.9rem;
+    margin-top: 0.5rem;
+    word-break: break-all;
+}
+
+.request-actions {
+    display: flex;
+    gap: 0.5rem;
+}
+
+.request-curl {
+    background: #1A1A1A;
+    border: 1px solid #333;
+    border-radius: 4px;
+    padding: 1rem;
+    margin-top: 1rem;
+}
+
+.request-curl h4 {
+    color: #FFFFFF;
+    font-size: 0.9rem;
+    font-weight: 600;
+    margin-bottom: 0.5rem;
+    font-family: 'Courier New', monospace;
+}
+
+.request-curl pre {
+    color: #CCCCCC;
+    font-size: 0.8rem;
+    line-height: 1.4;
+    overflow-x: auto;
+    white-space: pre-wrap;
+    word-break: break-all;
+    background: #111111;
+    padding: 0.75rem;
+    border-radius: 4px;
+    border: 1px solid #333;
+}
+
+.models-container {
+    max-width: 800px;
+    margin: 0 auto;
+}
+
+.model-form-section {
+    border: 2px solid #333;
+    border-radius: 8px;
+    padding: 2rem;
+    margin-bottom: 2rem;
+    background: #111111;
+}
+
+.model-form-section h3 {
+    font-size: 1.25rem;
+    font-weight: 600;
+    color: #FFFFFF;
+    margin-bottom: 1.5rem;
+}
+
+.model-form {
+    display: flex;
+    flex-direction: column;
+    gap: 1.5rem;
+}
+
+.form-row {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 1rem;
+}
+
+.save-btn {
+    padding: 1rem;
+    background: #09b5a5;
+    color: #000000;
+    border: none;
+    border-radius: 4px;
+    font-size: 1rem;
+    font-weight: 600;
+    cursor: pointer;
+    transition: background-color 0.2s ease;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    gap: 0.5rem;
+}
+
+.save-btn:hover {
+    background: #09b5a5;
+}
+
+.saved-models-section h3 {
+    font-size: 1.25rem;
+    font-weight: 600;
+    color: #FFFFFF;
+    margin-bottom: 1.5rem;
+}
+
+.models-list {
+    display: grid;
+    gap: 1rem;
+}
+
+.model-card {
+    border: 2px solid #333;
+    border-radius: 8px;
+    padding: 1.5rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    transition: border-color 0.2s ease;
+    background: #111111;
+}
+
+.model-card:hover {
+    border-color: #09b5a5;
+}
+
+.model-info {
+    flex: 1;
+}
+
+.model-name {
+    font-weight: 600;
+    color: #FFFFFF;
+    font-size: 1.1rem;
+    margin-bottom: 0.5rem;
+}
+
+.model-provider {
+    color: #CCCCCC;
+    font-size: 0.9rem;
+}
+
+.model-actions {
+    display: flex;
+    gap: 0.5rem;
+}
+
+.btn-danger {
+    background: #FF4444;
+    color: #FFFFFF;
+    border: none;
+    padding: 0.5rem 1rem;
+    border-radius: 4px;
+    font-size: 0.9rem;
+    font-weight: 600;
+    cursor: pointer;
+    transition: background-color 0.2s ease;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+}
+
+.btn-danger:hover {
+    background: #CC3333;
+}
+
+
+
+/* Toast Notifications */
+.toast-container {
+    position: fixed;
+    top: 20px;
+    right: 20px;
+    z-index: 1000;
+}
+
+.toast {
+    background: #111111;
+    border: 2px solid #333;
+    border-radius: 4px;
+    padding: 1rem 1.5rem;
+    margin-bottom: 0.5rem;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    animation: slideIn 0.3s ease;
+    max-width: 400px;
+    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
+    color: #FFFFFF;
+}
+
+.toast.success {
+    border-color: #09b5a5;
+    background: #0A1A1A;
+}
+
+.toast.error {
+    border-color: #FF4444;
+    background: #1A0A0A;
+}
+
+.toast.info {
+    border-color: #09b5a5;
+    background: #0A1A1A;
+}
+
+@keyframes slideIn {
+    from {
+        transform: translateX(100%);
+        opacity: 0;
+    }
+    to {
+        transform: translateX(0);
+        opacity: 1;
+    }
+}
+
+/* Responsive Design */
+@media (max-width: 768px) {
+    .header-content {
+        padding: 0 1rem;
+    }
+    
+    .main-content {
+        padding: 1rem;
+    }
+    
+    .hero-title {
+        font-size: 2rem;
+    }
+    
+    .workflow-demo {
+        grid-template-columns: 1fr;
+        gap: 1rem;
+    }
+    
+    .workflow-arrow {
+        transform: rotate(90deg);
+        margin: 1rem 0;
+    }
+    
+    .form-options {
+        grid-template-columns: 1fr;
+    }
+    
+    .form-row {
+        grid-template-columns: 1fr;
+    }
+    
+    .result-info {
+        grid-template-columns: 1fr;
+    }
+    
+    .model-card {
+        flex-direction: column;
+        gap: 1rem;
+        text-align: center;
+    }
+    
+    .model-actions {
+        width: 100%;
+        justify-content: center;
+    }
+}
\ No newline at end of file
diff --git a/docs/examples/website-to-api/test_api.py b/docs/examples/website-to-api/test_api.py
new file mode 100644
index 00000000..8fd8db5f
--- /dev/null
+++ b/docs/examples/website-to-api/test_api.py
@@ -0,0 +1,28 @@
+import asyncio
+from web_scraper_lib import scrape_website
+import os
+
+async def test_library():
+    """Test the mini library directly."""
+    print("=== Testing Mini Library ===")
+    
+    # Test 1: Scrape with a custom model
+    url = "https://marketplace.mainstreet.co.in/collections/adidas-yeezy/products/adidas-yeezy-boost-350-v2-yecheil-non-reflective"
+    query = "Extract the following data: Product name, Product price, Product description, Product size. DO NOT EXTRACT ANYTHING ELSE."
+    if os.path.exists("models"):
+        model_name = os.listdir("models")[0].split(".")[0]
+    else:
+        raise Exception("No models found in models directory")
+
+    print(f"Scraping: {url}")
+    print(f"Query: {query}")
+    
+    try:
+        result = await scrape_website(url, query, model_name)
+        print("✅ Library test successful!")
+        print(f"Extracted data: {result['extracted_data']}")
+    except Exception as e:
+        print(f"❌ Library test failed: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(test_library())
\ No newline at end of file
diff --git a/docs/examples/website-to-api/test_models.py b/docs/examples/website-to-api/test_models.py
new file mode 100644
index 00000000..2de0627e
--- /dev/null
+++ b/docs/examples/website-to-api/test_models.py
@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""
+Test script for the new model management functionality.
+This script demonstrates how to save and use custom model configurations.
+"""
+
+import asyncio
+import requests
+import json
+
+# API base URL
+BASE_URL = "http://localhost:8000"
+
+def test_model_management():
+    """Test the model management endpoints."""
+    
+    print("=== Testing Model Management ===")
+    
+    # 1. List current models
+    print("\n1. Listing current models:")
+    response = requests.get(f"{BASE_URL}/models")
+    print(f"Status: {response.status_code}")
+    print(f"Response: {json.dumps(response.json(), indent=2)}")
+    
+    
+    # 2. Save another model configuration (OpenAI example)
+    print("\n2. Saving OpenAI model configuration:")
+    openai_config = {
+        "model_name": "my-openai",
+        "provider": "openai",
+        "api_token": "your-openai-api-key-here"
+    }
+    
+    response = requests.post(f"{BASE_URL}/models", json=openai_config)
+    print(f"Status: {response.status_code}")
+    print(f"Response: {json.dumps(response.json(), indent=2)}")
+    
+    # 3. List models again to see the new ones
+    print("\n3. Listing models after adding new ones:")
+    response = requests.get(f"{BASE_URL}/models")
+    print(f"Status: {response.status_code}")
+    print(f"Response: {json.dumps(response.json(), indent=2)}")
+
+    # 4. Delete a model configuration
+    print("\n4. Deleting a model configuration:")
+    response = requests.delete(f"{BASE_URL}/models/my-openai")
+    print(f"Status: {response.status_code}")
+    print(f"Response: {json.dumps(response.json(), indent=2)}")
+    
+    # 5. Final list of models
+    print("\n5. Final list of models:")
+    response = requests.get(f"{BASE_URL}/models")
+    print(f"Status: {response.status_code}")
+    print(f"Response: {json.dumps(response.json(), indent=2)}")
+
+if __name__ == "__main__":
+    print("Model Management Test Script")
+    print("Make sure the API server is running on http://localhost:8000")
+    print("=" * 50)
+    
+    try:
+        test_model_management()
+    except requests.exceptions.ConnectionError:
+        print("Error: Could not connect to the API server.")
+        print("Make sure the server is running with: python api_server.py")
+    except Exception as e:
+        print(f"Error: {e}") 
\ No newline at end of file
diff --git a/docs/examples/website-to-api/web_scraper_lib.py b/docs/examples/website-to-api/web_scraper_lib.py
new file mode 100644
index 00000000..ded6f6f7
--- /dev/null
+++ b/docs/examples/website-to-api/web_scraper_lib.py
@@ -0,0 +1,397 @@
+from crawl4ai import (
+    AsyncWebCrawler,
+    BrowserConfig,
+    CacheMode,
+    CrawlerRunConfig,
+    LLMConfig,
+    JsonCssExtractionStrategy,
+    LLMExtractionStrategy
+)
+import os
+import json
+import hashlib
+from typing import Dict, Any, Optional, List
+from litellm import completion
+
+class ModelConfig:
+    """Configuration for LLM models."""
+    
+    def __init__(self, provider: str, api_token: str):
+        self.provider = provider
+        self.api_token = api_token
+    
+    def to_dict(self) -> Dict[str, Any]:
+        return {
+            "provider": self.provider,
+            "api_token": self.api_token
+        }
+    
+    @classmethod
+    def from_dict(cls, data: Dict[str, Any]) -> 'ModelConfig':
+        return cls(
+            provider=data["provider"],
+            api_token=data["api_token"]
+        )
+
+class WebScraperAgent:
+    """
+    A mini library that converts any website into a structured data API.
+    
+    Features:
+    1. Provide a URL and tell AI what data you need in plain English
+    2. Generate: Agent reverse-engineers the site and deploys custom scraper
+    3. Integrate: Use private API endpoint to get structured data
+    4. Support for custom LLM models and API keys
+    """
+    
+    def __init__(self, schemas_dir: str = "schemas", models_dir: str = "models"):
+        self.schemas_dir = schemas_dir
+        self.models_dir = models_dir
+        os.makedirs(self.schemas_dir, exist_ok=True)
+        os.makedirs(self.models_dir, exist_ok=True)
+    
+    def _generate_schema_key(self, url: str, query: str) -> str:
+        """Generate a unique key for schema caching based on URL and query."""
+        content = f"{url}:{query}"
+        return hashlib.md5(content.encode()).hexdigest()
+    
+    def save_model_config(self, model_name: str, provider: str, api_token: str) -> bool:
+        """
+        Save a model configuration for later use.
+        
+        Args:
+            model_name: User-friendly name for the model
+            provider: LLM provider (e.g., 'gemini', 'openai', 'anthropic')
+            api_token: API token for the provider
+            
+        Returns:
+            True if saved successfully
+        """
+        try:
+            model_config = ModelConfig(provider, api_token)
+            config_path = os.path.join(self.models_dir, f"{model_name}.json")
+            
+            with open(config_path, "w") as f:
+                json.dump(model_config.to_dict(), f, indent=2)
+            
+            print(f"Model configuration saved: {model_name}")
+            return True
+        except Exception as e:
+            print(f"Failed to save model configuration: {e}")
+            return False
+    
+    def load_model_config(self, model_name: str) -> Optional[ModelConfig]:
+        """
+        Load a saved model configuration.
+        
+        Args:
+            model_name: Name of the saved model configuration
+            
+        Returns:
+            ModelConfig object or None if not found
+        """
+        try:
+            config_path = os.path.join(self.models_dir, f"{model_name}.json")
+            if not os.path.exists(config_path):
+                return None
+            
+            with open(config_path, "r") as f:
+                data = json.load(f)
+            
+            return ModelConfig.from_dict(data)
+        except Exception as e:
+            print(f"Failed to load model configuration: {e}")
+            return None
+    
+    def list_saved_models(self) -> List[str]:
+        """List all saved model configurations."""
+        models = []
+        for filename in os.listdir(self.models_dir):
+            if filename.endswith('.json'):
+                models.append(filename[:-5])  # Remove .json extension
+        return models
+    
+    def delete_model_config(self, model_name: str) -> bool:
+        """
+        Delete a saved model configuration.
+        
+        Args:
+            model_name: Name of the model configuration to delete
+            
+        Returns:
+            True if deleted successfully
+        """
+        try:
+            config_path = os.path.join(self.models_dir, f"{model_name}.json")
+            if os.path.exists(config_path):
+                os.remove(config_path)
+                print(f"Model configuration deleted: {model_name}")
+                return True
+            return False
+        except Exception as e:
+            print(f"Failed to delete model configuration: {e}")
+            return False
+    
+    async def _load_or_generate_schema(self, url: str, query: str, session_id: str = "schema_generator", model_name: Optional[str] = None) -> Dict[str, Any]:
+        """
+        Loads schema from cache if exists, otherwise generates using AI.
+        This is the "Generate" step - our agent reverse-engineers the site.
+        
+        Args:
+            url: URL to scrape
+            query: Query for data extraction
+            session_id: Session identifier
+            model_name: Name of saved model configuration to use
+        """
+        schema_key = self._generate_schema_key(url, query)
+        schema_path = os.path.join(self.schemas_dir, f"{schema_key}.json")
+        
+        if os.path.exists(schema_path):
+            print(f"Schema found in cache for {url}")
+            with open(schema_path, "r") as f:
+                return json.load(f)
+        
+        print(f"Generating new schema for {url}")
+        print(f"Query: {query}")
+        query += """
+        IMPORTANT:
+        GENERATE THE SCHEMA WITH ONLY THE FIELDS MENTIONED IN THE QUERY. MAKE SURE THE NUMBER OF FIELDS IN THE SCHEME MATCH THE NUMBER OF FIELDS IN THE QUERY.
+        """
+        
+        # Step 1: Fetch the page HTML
+        async with AsyncWebCrawler(config=BrowserConfig(headless=True)) as crawler:
+            result = await crawler.arun(
+                url=url,
+                config=CrawlerRunConfig(
+                    cache_mode=CacheMode.BYPASS,
+                    session_id=session_id,
+                    simulate_user=True,
+                    remove_overlay_elements=True,
+                    delay_before_return_html=5,
+                )
+            )
+            html = result.fit_html
+        
+        # Step 2: Generate schema using AI with custom model if specified
+        print("AI is analyzing the page structure...")
+        
+        # Use custom model configuration if provided
+        if model_name:
+            model_config = self.load_model_config(model_name)
+            if model_config:
+                llm_config = LLMConfig(
+                    provider=model_config.provider,
+                    api_token=model_config.api_token
+                )
+                print(f"Using custom model: {model_name}")
+            else:
+                raise ValueError(f"Model configuration '{model_name}' not found. Please add it from the Models page.")
+        else:
+            # Require a model to be specified
+            raise ValueError("No model specified. Please select a model from the dropdown or add one from the Models page.")
+        
+        schema = JsonCssExtractionStrategy.generate_schema(
+            html=html,
+            llm_config=llm_config,
+            query=query
+        )
+        
+        # Step 3: Cache the generated schema
+        print(f"Schema generated and cached: {json.dumps(schema, indent=2)}")
+        with open(schema_path, "w") as f:
+            json.dump(schema, f, indent=2)
+        
+        return schema
+    
+    def _generate_llm_schema(self, query: str, llm_config: LLMConfig) -> Dict[str, Any]:
+        """
+        Generate a schema for a given query using a custom LLM model.
+        
+        Args:
+            query: Plain English description of what data to extract
+            model_config: Model configuration to use
+        """
+        # ask the model to generate a schema for the given query in the form of a json.
+        prompt = f"""
+        IDENTIFY THE FIELDS FOR EXTRACTION MENTIONED IN THE QUERY and GENERATE A JSON SCHEMA FOR THE FIELDS.
+        eg.
+        {{
+            "name": "str",  
+            "age": "str",
+            "email": "str",
+            "product_name": "str",
+            "product_price": "str",
+            "product_description": "str",
+            "product_image": "str",
+            "product_url": "str",
+            "product_rating": "str",
+            "product_reviews": "str",
+        }}
+        Here is the query:
+        {query}
+        IMPORTANT:
+        THE RESULT SHOULD BE A JSON OBJECT.
+        MAKE SURE THE NUMBER OF FIELDS IN THE RESULT MATCH THE NUMBER OF FIELDS IN THE QUERY.
+        THE RESULT SHOULD BE A JSON OBJECT.
+        """
+        response = completion(
+            model=llm_config.provider,
+            messages=[{"role": "user", "content": prompt}],
+            api_key=llm_config.api_token,
+            result_type="json"
+        )
+
+        return response.json()["choices"][0]["message"]["content"]
+    async def scrape_data_with_llm(self, url: str, query: str, model_name: Optional[str] = None) -> Dict[str, Any]:
+        """
+        Scrape structured data from any website using a custom LLM model.
+        
+        Args:
+            url: The website URL to scrape
+            query: Plain English description of what data to extract
+            model_name: Name of saved model configuration to use
+        """
+
+        if model_name:
+            model_config = self.load_model_config(model_name)
+            if model_config:
+                llm_config = LLMConfig(
+                    provider=model_config.provider,
+                    api_token=model_config.api_token
+                )
+                print(f"Using custom model: {model_name}")
+            else:
+                raise ValueError(f"Model configuration '{model_name}' not found. Please add it from the Models page.")
+        else:
+            # Require a model to be specified
+            raise ValueError("No model specified. Please select a model from the dropdown or add one from the Models page.")
+
+        query += """\n  
+        IMPORTANT:
+        THE RESULT SHOULD BE A JSON OBJECT WITH THE ONLY THE FIELDS MENTIONED IN THE QUERY.
+        MAKE SURE THE NUMBER OF FIELDS IN THE RESULT MATCH THE NUMBER OF FIELDS IN THE QUERY.
+        THE RESULT SHOULD BE A JSON OBJECT.
+        """
+
+        schema = self._generate_llm_schema(query, llm_config)
+
+        print(f"Schema: {schema}")
+
+        llm_extraction_strategy = LLMExtractionStrategy(
+            llm_config=llm_config,
+            instruction=query,
+            result_type="json",
+            schema=schema
+        )
+
+        async with AsyncWebCrawler() as crawler:
+            result = await crawler.arun(
+                url=url,
+                config=CrawlerRunConfig(
+                    cache_mode=CacheMode.BYPASS,
+                    simulate_user=True,
+                    extraction_strategy=llm_extraction_strategy,
+                )
+            )
+        extracted_data = result.extracted_content
+        if isinstance(extracted_data, str):
+                try:
+                    extracted_data = json.loads(extracted_data)
+                except json.JSONDecodeError:
+                    # If it's not valid JSON, keep it as string
+                    pass
+            
+        return {
+                "url": url,
+                "query": query,
+                "extracted_data": extracted_data,
+                "timestamp": result.timestamp if hasattr(result, 'timestamp') else None
+            }
+        
+    async def scrape_data(self, url: str, query: str, model_name: Optional[str] = None) -> Dict[str, Any]:
+        """
+        Main method to scrape structured data from any website.
+        
+        Args:
+            url: The website URL to scrape
+            query: Plain English description of what data to extract
+            model_name: Name of saved model configuration to use
+            
+        Returns:
+            Structured data extracted from the website
+        """
+        # Step 1: Generate or load schema (reverse-engineer the site)
+        schema = await self._load_or_generate_schema(url=url, query=query, model_name=model_name)
+        
+        # Step 2: Deploy custom high-speed scraper
+        print(f"Deploying custom scraper for {url}")
+        browser_config = BrowserConfig(headless=True)
+        
+        async with AsyncWebCrawler(config=browser_config) as crawler:
+            run_config = CrawlerRunConfig(
+                extraction_strategy=JsonCssExtractionStrategy(schema=schema),
+            )
+            result = await crawler.arun(url=url, config=run_config)
+            
+            # Step 3: Return structured data
+            # Parse extracted_content if it's a JSON string
+            extracted_data = result.extracted_content
+            if isinstance(extracted_data, str):
+                try:
+                    extracted_data = json.loads(extracted_data)
+                except json.JSONDecodeError:
+                    # If it's not valid JSON, keep it as string
+                    pass
+            
+            return {
+                "url": url,
+                "query": query,
+                "extracted_data": extracted_data,
+                "schema_used": schema,
+                "timestamp": result.timestamp if hasattr(result, 'timestamp') else None
+            }
+    
+    async def get_cached_schemas(self) -> Dict[str, str]:
+        """Get list of cached schemas."""
+        schemas = {}
+        for filename in os.listdir(self.schemas_dir):
+            if filename.endswith('.json'):
+                schema_key = filename[:-5]  # Remove .json extension
+                schemas[schema_key] = filename
+        return schemas
+    
+    def clear_cache(self):
+        """Clear all cached schemas."""
+        import shutil
+        if os.path.exists(self.schemas_dir):
+            shutil.rmtree(self.schemas_dir)
+        os.makedirs(self.schemas_dir, exist_ok=True)
+        print("Schema cache cleared")
+
+# Convenience function for simple usage
+async def scrape_website(url: str, query: str, model_name: Optional[str] = None) -> Dict[str, Any]:
+    """
+    Simple function to scrape any website with plain English instructions.
+    
+    Args:
+        url: Website URL
+        query: Plain English description of what data to extract
+        model_name: Name of saved model configuration to use
+        
+    Returns:
+        Extracted structured data
+    """
+    agent = WebScraperAgent()
+    return await agent.scrape_data(url, query, model_name)
+
+async def scrape_website_with_llm(url: str, query: str, model_name: Optional[str] = None):
+    """
+    Scrape structured data from any website using a custom LLM model.
+    
+    Args:
+        url: The website URL to scrape
+        query: Plain English description of what data to extract
+        model_name: Name of saved model configuration to use
+    """
+    agent = WebScraperAgent()
+    return await agent.scrape_data_with_llm(url, query, model_name)
\ No newline at end of file
diff --git a/docs/md_v2/advanced/adaptive-strategies.md b/docs/md_v2/advanced/adaptive-strategies.md
index 4ab5b4cd..11c5585a 100644
--- a/docs/md_v2/advanced/adaptive-strategies.md
+++ b/docs/md_v2/advanced/adaptive-strategies.md
@@ -126,30 +126,6 @@ Factors:
 - URL depth (fewer slashes = higher authority)
 - Clean URL structure
 
-### Custom Link Scoring
-
-```python
-class CustomLinkScorer:
-    def score(self, link: Link, query: str, state: CrawlState) -> float:
-        # Prioritize specific URL patterns
-        if "/api/reference/" in link.href:
-            return 2.0  # Double the score
-        
-        # Deprioritize certain sections
-        if "/archive/" in link.href:
-            return 0.1  # Reduce score by 90%
-        
-        # Default scoring
-        return 1.0
-
-# Use with adaptive crawler
-adaptive = AdaptiveCrawler(
-    crawler,
-    config=config,
-    link_scorer=CustomLinkScorer()
-)
-```
-
 ## Domain-Specific Configurations
 
 ### Technical Documentation
@@ -230,8 +206,12 @@ config = AdaptiveConfig(
 
 # Periodically clean state
 if len(state.knowledge_base) > 1000:
-    # Keep only most relevant
-    state.knowledge_base = get_top_relevant(state.knowledge_base, 500)
+    # Keep only the top 500 most relevant docs
+    top_content = adaptive.get_relevant_content(top_k=500)
+    keep_indices = {d["index"] for d in top_content}
+    state.knowledge_base = [
+        doc for i, doc in enumerate(state.knowledge_base) if i in keep_indices
+    ]
 ```
 
 ### Parallel Processing
@@ -252,18 +232,6 @@ tasks = [
 results = await asyncio.gather(*tasks)
 ```
 
-### Caching Strategy
-
-```python
-# Enable caching for repeated crawls
-async with AsyncWebCrawler(
-    config=BrowserConfig(
-        cache_mode=CacheMode.ENABLED
-    )
-) as crawler:
-    adaptive = AdaptiveCrawler(crawler, config)
-```
-
 ## Debugging & Analysis
 
 ### Enable Verbose Logging
@@ -322,9 +290,9 @@ with open("crawl_analysis.json", "w") as f:
 ### Implementing a Custom Strategy
 
 ```python
-from crawl4ai.adaptive_crawler import BaseStrategy
+from crawl4ai.adaptive_crawler import CrawlStrategy
 
-class DomainSpecificStrategy(BaseStrategy):
+class DomainSpecificStrategy(CrawlStrategy):
     def calculate_coverage(self, state: CrawlState) -> float:
         # Custom coverage calculation
         # e.g., weight certain terms more heavily
@@ -351,7 +319,7 @@ adaptive = AdaptiveCrawler(
 ### Combining Strategies
 
 ```python
-class HybridStrategy(BaseStrategy):
+class HybridStrategy(CrawlStrategy):
     def __init__(self):
         self.strategies = [
             TechnicalDocStrategy(),
diff --git a/docs/md_v2/advanced/proxy-security.md b/docs/md_v2/advanced/proxy-security.md
index 13191cd7..d1c868b2 100644
--- a/docs/md_v2/advanced/proxy-security.md
+++ b/docs/md_v2/advanced/proxy-security.md
@@ -7,13 +7,13 @@ Simple proxy configuration with `BrowserConfig`:
 ```python
 from crawl4ai.async_configs import BrowserConfig
 
-# Using proxy URL
-browser_config = BrowserConfig(proxy="http://proxy.example.com:8080")
+# Using HTTP proxy
+browser_config = BrowserConfig(proxy_config={"server": "http://proxy.example.com:8080"})
 async with AsyncWebCrawler(config=browser_config) as crawler:
     result = await crawler.arun(url="https://example.com")
 
 # Using SOCKS proxy
-browser_config = BrowserConfig(proxy="socks5://proxy.example.com:1080")
+browser_config = BrowserConfig(proxy_config={"server": "socks5://proxy.example.com:1080"})
 async with AsyncWebCrawler(config=browser_config) as crawler:
     result = await crawler.arun(url="https://example.com")
 ```
@@ -25,7 +25,11 @@ Use an authenticated proxy with `BrowserConfig`:
 ```python
 from crawl4ai.async_configs import BrowserConfig
 
-browser_config = BrowserConfig(proxy="http://[username]:[password]@[host]:[port]")
+browser_config = BrowserConfig(proxy_config={
+    "server": "http://[host]:[port]",
+    "username": "[username]",
+    "password": "[password]",
+})
 async with AsyncWebCrawler(config=browser_config) as crawler:
     result = await crawler.arun(url="https://example.com")
 ```
diff --git a/docs/md_v2/api/parameters.md b/docs/md_v2/api/parameters.md
index ba526fb7..368f53fb 100644
--- a/docs/md_v2/api/parameters.md
+++ b/docs/md_v2/api/parameters.md
@@ -23,7 +23,7 @@ browser_cfg = BrowserConfig(
 | **`headless`**        | `bool` (default: `True`)               | Headless means no visible UI. `False` is handy for debugging.                                                                         |
 | **`viewport_width`**  | `int` (default: `1080`)                | Initial page width (in px). Useful for testing responsive layouts.                                                                    |
 | **`viewport_height`** | `int` (default: `600`)                 | Initial page height (in px).                                                                                                          |
-| **`proxy`**           | `str` (default: `None`)                | Single-proxy URL if you want all traffic to go through it, e.g. `"http://user:pass@proxy:8080"`.                                      |
+| **`proxy`**           | `str` (deprecated)                      | Deprecated. Use `proxy_config` instead. If set, it will be auto-converted internally. |
 | **`proxy_config`**    | `dict` (default: `None`)               | For advanced or multi-proxy needs, specify details like `{"server": "...", "username": "...", ...}`.                                  |
 | **`use_persistent_context`** | `bool` (default: `False`)       | If `True`, uses a **persistent** browser context (keep cookies, sessions across runs). Also sets `use_managed_browser=True`.          |
 | **`user_data_dir`**   | `str or None` (default: `None`)        | Directory to store user data (profiles, cookies). Must be set if you want permanent sessions.                                         |
@@ -155,6 +155,7 @@ If your page is a single-page app with repeated JS updates, set `js_only=True` i
 | **`exclude_external_links`** | `bool` (False)          | Removes all links pointing outside the current domain.                                                                      |
 | **`exclude_social_media_links`** | `bool` (False)      | Strips links specifically to social sites (like Facebook or Twitter).                                                      |
 | **`exclude_domains`**        | `list` ([])             | Provide a custom list of domains to exclude (like `["ads.com", "trackers.io"]`).                                            |
+| **`preserve_https_for_internal_links`** | `bool` (False) | If `True`, preserves HTTPS scheme for internal links even when the server redirects to HTTP. Useful for security-conscious crawling. |
 
 Use these for link-level content filtering (often to keep crawls “internal” or to remove spammy domains).
 
diff --git a/docs/md_v2/assets/crawl4ai-skill.zip b/docs/md_v2/assets/crawl4ai-skill.zip
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diff --git a/docs/md_v2/assets/page_actions.css b/docs/md_v2/assets/page_actions.css
new file mode 100644
index 00000000..0d406445
--- /dev/null
+++ b/docs/md_v2/assets/page_actions.css
@@ -0,0 +1,376 @@
+/* ==== File: assets/page_actions.css ==== */
+/* Page Actions Dropdown - Terminal Style */
+
+/* Wrapper - positioned in content area */
+.page-actions-wrapper {
+    position: absolute;
+    top: 1.3rem;
+    right: 1rem;
+    z-index: 1000;
+}
+
+/* Floating Action Button */
+.page-actions-button {
+    position: relative;
+    display: inline-flex;
+    align-items: center;
+    gap: 0.5rem;
+    background: #3f3f44;
+    border: 1px solid #50ffff;
+    color: #e8e9ed;
+    padding: 0.75rem 1rem;
+    border-radius: 6px;
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.875rem;
+    cursor: pointer;
+    transition: all 0.2s ease;
+    box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
+}
+
+.page-actions-button:hover {
+    background: #50ffff;
+    color: #070708;
+    transform: translateY(-2px);
+    box-shadow: 0 6px 16px rgba(80, 255, 255, 0.3);
+}
+
+.page-actions-button::before {
+    content: '▤';
+    font-size: 1.2rem;
+    line-height: 1;
+}
+
+.page-actions-button::after {
+    content: '▼';
+    font-size: 0.6rem;
+    transition: transform 0.2s ease;
+}
+
+.page-actions-button.active::after {
+    transform: rotate(180deg);
+}
+
+/* Dropdown Menu */
+.page-actions-dropdown {
+    position: absolute;
+    top: 3.5rem;
+    right: 0;
+    z-index: 1001;
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    min-width: 280px;
+    opacity: 0;
+    visibility: hidden;
+    transform: translateY(-10px);
+    transition: all 0.2s ease;
+    box-shadow: 0 8px 24px rgba(0, 0, 0, 0.5);
+    overflow: hidden;
+}
+
+.page-actions-dropdown.active {
+    opacity: 1;
+    visibility: visible;
+    transform: translateY(0);
+}
+
+.page-actions-dropdown::before {
+    content: '';
+    position: absolute;
+    top: -8px;
+    right: 1.5rem;
+    width: 0;
+    height: 0;
+    border-left: 8px solid transparent;
+    border-right: 8px solid transparent;
+    border-bottom: 8px solid #3f3f44;
+}
+
+/* Menu Header */
+.page-actions-header {
+    background: #3f3f44;
+    padding: 0.5rem 0.75rem;
+    border-bottom: 1px solid #50ffff;
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.7rem;
+    color: #a3abba;
+    text-transform: uppercase;
+    letter-spacing: 0.05em;
+}
+
+.page-actions-header::before {
+    content: '┌─';
+    margin-right: 0.5rem;
+    color: #50ffff;
+}
+
+/* Menu Items */
+.page-actions-menu {
+    list-style: none;
+    margin: 0;
+    padding: 0.25rem 0;
+}
+
+.page-action-item {
+    display: block;
+    padding: 0;
+}
+
+ul>li.page-action-item::after{
+    content: '';
+}
+.page-action-link {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    padding: 0.5rem 0.75rem;
+    color: #e8e9ed;
+    text-decoration: none !important;
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.8rem;
+    transition: all 0.15s ease;
+    cursor: pointer;
+    border-left: 3px solid transparent;
+}
+
+.page-action-link:hover:not(.disabled) {
+    background: #3f3f44;
+    border-left-color: #50ffff;
+    color: #50ffff;
+    text-decoration: none;
+}
+
+.page-action-link.disabled {
+    opacity: 0.5;
+    cursor: not-allowed;
+}
+
+.page-action-link.disabled:hover {
+    background: transparent;
+    color: #e8e9ed;
+    text-decoration: none;
+}
+
+/* Icons using ASCII/Terminal characters */
+.page-action-icon {
+    font-size: 1rem;
+    width: 1.5rem;
+    text-align: center;
+    font-weight: bold;
+    color: #50ffff;
+}
+
+.page-action-link:hover:not(.disabled) .page-action-icon {
+    color: #50ffff;
+}
+
+.page-action-link.disabled .page-action-icon {
+    color: #666;
+}
+
+/* Specific icons */
+.icon-copy::before {
+    content: '⎘'; /* Copy/duplicate symbol */
+}
+
+.icon-view::before {
+    content: '⎙'; /* Document symbol */
+}
+
+.icon-ai::before {
+    content: '⚡'; /* Lightning/AI symbol */
+}
+
+/* Action Text */
+.page-action-text {
+    flex: 1;
+}
+
+.page-action-label {
+    display: block;
+    font-weight: 600;
+    margin-bottom: 0.05rem;
+    line-height: 1.3;
+}
+
+.page-action-description {
+    display: block;
+    font-size: 0.7rem;
+    color: #a3abba;
+    line-height: 1.2;
+}
+
+/* Badge */
+/* External link indicator */
+.page-action-external::after {
+    content: '→';
+    margin-left: 0.25rem;
+    font-size: 0.75rem;
+}
+
+/* Divider */
+.page-actions-divider {
+    height: 1px;
+    background: #3f3f44;
+    margin: 0.25rem 0;
+}
+
+/* Success/Copy feedback */
+.page-action-copied {
+    background: #50ff50 !important;
+    color: #070708 !important;
+    border-left-color: #50ff50 !important;
+}
+
+.page-action-copied .page-action-icon {
+    color: #070708 !important;
+}
+
+.page-action-copied .page-action-icon::before {
+    content: '✓';
+}
+
+/* Mobile Responsive */
+@media (max-width: 768px) {
+    .page-actions-wrapper {
+        top: 0.5rem;
+        right: 0.5rem;
+    }
+
+    .page-actions-button {
+        padding: 0.6rem 0.8rem;
+        font-size: 0.8rem;
+    }
+
+    .page-actions-dropdown {
+        min-width: 260px;
+        max-width: calc(100vw - 2rem);
+        right: -0.5rem;
+    }
+
+    .page-action-link {
+        padding: 0.6rem 0.8rem;
+        font-size: 0.8rem;
+    }
+
+    .page-action-description {
+        font-size: 0.7rem;
+    }
+}
+
+/* Animation for tooltip/notification */
+@keyframes slideInFromTop {
+    from {
+        transform: translateY(-20px);
+        opacity: 0;
+    }
+    to {
+        transform: translateY(0);
+        opacity: 1;
+    }
+}
+
+.page-actions-notification {
+    position: fixed;
+    top: calc(var(--header-height) + 0.5rem);
+    right: 50%;
+    transform: translateX(50%);
+    z-index: 1100;
+    background: #50ff50;
+    color: #070708;
+    padding: 0.75rem 1.5rem;
+    border-radius: 6px;
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.875rem;
+    font-weight: 600;
+    box-shadow: 0 4px 12px rgba(80, 255, 80, 0.4);
+    animation: slideInFromTop 0.3s ease;
+    pointer-events: none;
+}
+
+.page-actions-notification::before {
+    content: '✓ ';
+    margin-right: 0.5rem;
+}
+
+/* Hide on print */
+@media print {
+    .page-actions-button,
+    .page-actions-dropdown {
+        display: none !important;
+    }
+}
+
+/* Overlay for mobile */
+.page-actions-overlay {
+    display: none;
+    position: fixed;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background: rgba(0, 0, 0, 0.5);
+    z-index: 998;
+    opacity: 0;
+    transition: opacity 0.2s ease;
+}
+
+.page-actions-overlay.active {
+    display: block;
+    opacity: 1;
+}
+
+@media (max-width: 768px) {
+    .page-actions-overlay {
+        display: block;
+    }
+}
+
+/* Keyboard focus styles */
+.page-action-link:focus {
+    outline: 2px solid #50ffff;
+    outline-offset: -2px;
+}
+
+.page-actions-button:focus {
+    outline: 2px solid #50ffff;
+    outline-offset: 2px;
+}
+
+/* Loading state */
+.page-action-link.loading {
+    pointer-events: none;
+    opacity: 0.7;
+}
+
+.page-action-link.loading .page-action-icon::before {
+    content: '⟳';
+    animation: spin 1s linear infinite;
+}
+
+@keyframes spin {
+    from { transform: rotate(0deg); }
+    to { transform: rotate(360deg); }
+}
+
+/* Terminal-style border effect on hover */
+.page-actions-dropdown:hover {
+    border-color: #50ffff;
+}
+
+/* Footer info */
+.page-actions-footer {
+    background: #070708;
+    padding: 0.4rem 0.75rem;
+    border-top: 1px solid #3f3f44;
+    font-size: 0.65rem;
+    color: #666;
+    text-align: center;
+    font-family: 'Dank Mono', Monaco, monospace;
+}
+
+.page-actions-footer::before {
+    content: '└─';
+    margin-right: 0.5rem;
+    color: #3f3f44;
+}
\ No newline at end of file
diff --git a/docs/md_v2/assets/page_actions.js b/docs/md_v2/assets/page_actions.js
new file mode 100644
index 00000000..bb143840
--- /dev/null
+++ b/docs/md_v2/assets/page_actions.js
@@ -0,0 +1,427 @@
+// ==== File: assets/page_actions.js ====
+// Page Actions - Copy/View Markdown functionality
+
+document.addEventListener('DOMContentLoaded', () => {
+    // Configuration
+    const config = {
+        githubRepo: 'unclecode/crawl4ai',
+        githubBranch: 'main',
+        docsPath: 'docs/md_v2',
+        excludePaths: ['/apps/c4a-script/', '/apps/llmtxt/', '/apps/crawl4ai-assistant/', '/core/ask-ai/'], // Don't show on app pages
+    };
+
+    let cachedMarkdown = null;
+    let cachedMarkdownPath = null;
+
+    // Check if we should show the button on this page
+    function shouldShowButton() {
+        const currentPath = window.location.pathname;
+
+        // Don't show on homepage
+        if (currentPath === '/' || currentPath === '/index.html') {
+            return false;
+        }
+
+        // Don't show on 404 pages
+        if (document.title && document.title.toLowerCase().includes('404')) {
+            return false;
+        }
+
+        // Require mkdocs main content container
+        const mainContent = document.getElementById('terminal-mkdocs-main-content');
+        if (!mainContent) {
+            return false;
+        }
+
+        // Don't show on excluded paths (apps)
+        for (const excludePath of config.excludePaths) {
+            if (currentPath.includes(excludePath)) {
+                return false;
+            }
+        }
+
+        // Only show on documentation pages
+        return true;
+    }
+
+    if (!shouldShowButton()) {
+        return;
+    }
+
+    // Get current page markdown path
+    function getCurrentMarkdownPath() {
+        let path = window.location.pathname;
+
+        // Remove leading/trailing slashes
+        path = path.replace(/^\/|\/$/g, '');
+
+        // Remove .html extension if present
+        path = path.replace(/\.html$/, '');
+
+        // Handle root/index
+        if (!path || path === 'index') {
+            return 'index.md';
+        }
+
+        // Add .md extension
+        return `${path}.md`;
+    }
+
+    async function loadMarkdownContent() {
+        const mdPath = getCurrentMarkdownPath();
+
+        if (!mdPath) {
+            throw new Error('Invalid markdown path');
+        }
+
+        const rawUrl = getGithubRawUrl();
+        const response = await fetch(rawUrl);
+
+        if (!response.ok) {
+            throw new Error(`Failed to fetch markdown: ${response.status}`);
+        }
+
+        const markdown = await response.text();
+        cachedMarkdown = markdown;
+        cachedMarkdownPath = mdPath;
+        return markdown;
+    }
+
+    async function ensureMarkdownCached() {
+        const mdPath = getCurrentMarkdownPath();
+
+        if (!mdPath) {
+            return false;
+        }
+
+        if (cachedMarkdown && cachedMarkdownPath === mdPath) {
+            return true;
+        }
+
+        try {
+            await loadMarkdownContent();
+            return true;
+        } catch (error) {
+            console.warn('Page Actions: Markdown not available for this page.', error);
+            cachedMarkdown = null;
+            cachedMarkdownPath = null;
+            return false;
+        }
+    }
+
+    async function getMarkdownContent() {
+        const available = await ensureMarkdownCached();
+        if (!available) {
+            throw new Error('Markdown not available for this page.');
+        }
+        return cachedMarkdown;
+    }
+
+    // Get GitHub raw URL for current page
+    function getGithubRawUrl() {
+        const mdPath = getCurrentMarkdownPath();
+        return `https://raw.githubusercontent.com/${config.githubRepo}/${config.githubBranch}/${config.docsPath}/${mdPath}`;
+    }
+
+    // Get GitHub file URL for current page (for viewing)
+    function getGithubFileUrl() {
+        const mdPath = getCurrentMarkdownPath();
+        return `https://github.com/${config.githubRepo}/blob/${config.githubBranch}/${config.docsPath}/${mdPath}`;
+    }
+
+    // Create the UI
+    function createPageActionsUI() {
+        // Find the main content area
+        const mainContent = document.getElementById('terminal-mkdocs-main-content');
+        if (!mainContent) {
+            console.warn('Page Actions: Could not find #terminal-mkdocs-main-content');
+            return null;
+        }
+
+        // Create button
+        const button = document.createElement('button');
+        button.className = 'page-actions-button';
+        button.setAttribute('aria-label', 'Page copy');
+        button.setAttribute('aria-expanded', 'false');
+        button.innerHTML = '<span>Page Copy</span>';
+
+        // Create overlay for mobile
+        const overlay = document.createElement('div');
+        overlay.className = 'page-actions-overlay';
+
+        // Create dropdown
+        const dropdown = document.createElement('div');
+        dropdown.className = 'page-actions-dropdown';
+        dropdown.setAttribute('role', 'menu');
+        dropdown.innerHTML = `
+            <div class="page-actions-header">Page Copy</div>
+            <ul class="page-actions-menu">
+                <li class="page-action-item">
+                    <a href="#" class="page-action-link" id="action-copy-markdown" role="menuitem">
+                        <span class="page-action-icon icon-copy"></span>
+                        <span class="page-action-text">
+                            <span class="page-action-label">Copy as Markdown</span>
+                            <span class="page-action-description">Copy page for LLMs</span>
+                        </span>
+                    </a>
+                </li>
+                <li class="page-action-item">
+                    <a href="#" class="page-action-link page-action-external" id="action-view-markdown" target="_blank" role="menuitem">
+                        <span class="page-action-icon icon-view"></span>
+                        <span class="page-action-text">
+                            <span class="page-action-label">View as Markdown</span>
+                            <span class="page-action-description">Open raw source</span>
+                        </span>
+                    </a>
+                </li>
+                <div class="page-actions-divider"></div>
+                <li class="page-action-item">
+                    <a href="#" class="page-action-link page-action-external" id="action-open-chatgpt" role="menuitem">
+                        <span class="page-action-icon icon-ai"></span>
+                        <span class="page-action-text">
+                            <span class="page-action-label">Open in ChatGPT</span>
+                            <span class="page-action-description">Ask questions about this page</span>
+                        </span>
+                    </a>
+                </li>
+            </ul>
+            <div class="page-actions-footer">ESC to close</div>
+        `;
+
+        // Create a wrapper for button and dropdown
+        const wrapper = document.createElement('div');
+        wrapper.className = 'page-actions-wrapper';
+        wrapper.appendChild(button);
+        wrapper.appendChild(dropdown);
+
+        // Inject into main content area
+        mainContent.appendChild(wrapper);
+
+        // Append overlay to body
+        document.body.appendChild(overlay);
+
+        return { button, dropdown, overlay, wrapper };
+    }
+
+    // Toggle dropdown
+    function toggleDropdown(button, dropdown, overlay) {
+        const isActive = dropdown.classList.contains('active');
+
+        if (isActive) {
+            closeDropdown(button, dropdown, overlay);
+        } else {
+            openDropdown(button, dropdown, overlay);
+        }
+    }
+
+    function openDropdown(button, dropdown, overlay) {
+        dropdown.classList.add('active');
+        // Don't activate overlay - not needed
+        button.classList.add('active');
+        button.setAttribute('aria-expanded', 'true');
+    }
+
+    function closeDropdown(button, dropdown, overlay) {
+        dropdown.classList.remove('active');
+        // Don't deactivate overlay - not needed
+        button.classList.remove('active');
+        button.setAttribute('aria-expanded', 'false');
+    }
+
+    // Show notification
+    function showNotification(message, duration = 2000) {
+        const notification = document.createElement('div');
+        notification.className = 'page-actions-notification';
+        notification.textContent = message;
+        document.body.appendChild(notification);
+
+        setTimeout(() => {
+            notification.remove();
+        }, duration);
+    }
+
+    // Copy markdown to clipboard
+    async function copyMarkdownToClipboard(link) {
+        // Add loading state
+        link.classList.add('loading');
+
+        try {
+            const markdown = await getMarkdownContent();
+
+            // Copy to clipboard
+            await navigator.clipboard.writeText(markdown);
+
+            // Visual feedback
+            link.classList.remove('loading');
+            link.classList.add('page-action-copied');
+
+            showNotification('Markdown copied to clipboard!');
+
+            // Reset after delay
+            setTimeout(() => {
+                link.classList.remove('page-action-copied');
+            }, 2000);
+
+        } catch (error) {
+            console.error('Error copying markdown:', error);
+            link.classList.remove('loading');
+            showNotification('Error: Could not copy markdown');
+        }
+    }
+
+    // View markdown in new tab
+    function viewMarkdown() {
+        const githubUrl = getGithubFileUrl();
+        window.open(githubUrl, '_blank', 'noopener,noreferrer');
+    }
+
+    function getCurrentPageUrl() {
+        const { href } = window.location;
+        return href.split('#')[0];
+    }
+
+    function openChatGPT() {
+        const pageUrl = getCurrentPageUrl();
+        const prompt = encodeURIComponent(`Read ${pageUrl} so I can ask questions about it.`);
+        const chatUrl = `https://chatgpt.com/?hint=search&prompt=${prompt}`;
+        window.open(chatUrl, '_blank', 'noopener,noreferrer');
+    }
+
+    (async () => {
+        if (!shouldShowButton()) {
+            return;
+        }
+
+        const markdownAvailable = await ensureMarkdownCached();
+        if (!markdownAvailable) {
+            return;
+        }
+
+        const ui = createPageActionsUI();
+        if (!ui) {
+            return;
+        }
+
+        const { button, dropdown, overlay } = ui;
+
+        // Event listeners
+        button.addEventListener('click', (e) => {
+            e.stopPropagation();
+            toggleDropdown(button, dropdown, overlay);
+        });
+
+        overlay.addEventListener('click', () => {
+            closeDropdown(button, dropdown, overlay);
+        });
+
+        // Copy markdown action
+        document.getElementById('action-copy-markdown').addEventListener('click', async (e) => {
+            e.preventDefault();
+            e.stopPropagation();
+            await copyMarkdownToClipboard(e.currentTarget);
+        });
+
+        // View markdown action
+        document.getElementById('action-view-markdown').addEventListener('click', (e) => {
+            e.preventDefault();
+            e.stopPropagation();
+            viewMarkdown();
+            closeDropdown(button, dropdown, overlay);
+        });
+
+        // Open in ChatGPT action
+        document.getElementById('action-open-chatgpt').addEventListener('click', (e) => {
+            e.preventDefault();
+            e.stopPropagation();
+            openChatGPT();
+            closeDropdown(button, dropdown, overlay);
+        });
+
+        // Close on ESC key
+        document.addEventListener('keydown', (e) => {
+            if (e.key === 'Escape' && dropdown.classList.contains('active')) {
+                closeDropdown(button, dropdown, overlay);
+            }
+        });
+
+        // Close when clicking outside
+        document.addEventListener('click', (e) => {
+            if (!dropdown.contains(e.target) && !button.contains(e.target)) {
+                closeDropdown(button, dropdown, overlay);
+            }
+        });
+
+        // Prevent dropdown from closing when clicking inside
+        dropdown.addEventListener('click', (e) => {
+            // Only stop propagation if not clicking on a link
+            if (!e.target.closest('.page-action-link')) {
+                e.stopPropagation();
+            }
+        });
+
+        // Close dropdown on link click (except for copy which handles itself)
+        dropdown.querySelectorAll('.page-action-link:not(#action-copy-markdown)').forEach(link => {
+            link.addEventListener('click', () => {
+                if (!link.classList.contains('disabled')) {
+                    setTimeout(() => {
+                        closeDropdown(button, dropdown, overlay);
+                    }, 100);
+                }
+            });
+        });
+
+        // Handle window resize
+        let resizeTimer;
+        window.addEventListener('resize', () => {
+            clearTimeout(resizeTimer);
+            resizeTimer = setTimeout(() => {
+                // Close dropdown on resize to prevent positioning issues
+                if (dropdown.classList.contains('active')) {
+                    closeDropdown(button, dropdown, overlay);
+                }
+            }, 250);
+        });
+
+        // Accessibility: Focus management
+        button.addEventListener('keydown', (e) => {
+            if (e.key === 'Enter' || e.key === ' ') {
+                e.preventDefault();
+                toggleDropdown(button, dropdown, overlay);
+
+                // Focus first menu item when opening
+                if (dropdown.classList.contains('active')) {
+                    const firstLink = dropdown.querySelector('.page-action-link:not(.disabled)');
+                    if (firstLink) {
+                        setTimeout(() => firstLink.focus(), 100);
+                    }
+                }
+            }
+        });
+
+        // Arrow key navigation within menu
+        dropdown.addEventListener('keydown', (e) => {
+            if (!dropdown.classList.contains('active')) return;
+
+            const links = Array.from(dropdown.querySelectorAll('.page-action-link:not(.disabled)'));
+            const currentIndex = links.indexOf(document.activeElement);
+
+            if (e.key === 'ArrowDown') {
+                e.preventDefault();
+                const nextIndex = (currentIndex + 1) % links.length;
+                links[nextIndex].focus();
+            } else if (e.key === 'ArrowUp') {
+                e.preventDefault();
+                const prevIndex = (currentIndex - 1 + links.length) % links.length;
+                links[prevIndex].focus();
+            } else if (e.key === 'Home') {
+                e.preventDefault();
+                links[0].focus();
+            } else if (e.key === 'End') {
+                e.preventDefault();
+                links[links.length - 1].focus();
+            }
+        });
+
+        console.log('Page Actions initialized for:', getCurrentMarkdownPath());
+    })();
+});
\ No newline at end of file
diff --git a/docs/md_v2/blog/index.md b/docs/md_v2/blog/index.md
index 6eb6112b..c955572e 100644
--- a/docs/md_v2/blog/index.md
+++ b/docs/md_v2/blog/index.md
@@ -20,17 +20,43 @@ Ever wondered why your AI coding assistant struggles with your library despite c
 
 ## Latest Release
 
+### [Crawl4AI v0.7.6 – The Webhook Infrastructure Update](../blog/release-v0.7.6.md)
+*October 22, 2025*
+
+Crawl4AI v0.7.6 introduces comprehensive webhook support for the Docker job queue API, bringing real-time notifications to both crawling and LLM extraction workflows. No more polling!
+
+Key highlights:
+- **🪝 Complete Webhook Support**: Real-time notifications for both `/crawl/job` and `/llm/job` endpoints
+- **🔄 Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- **🔐 Custom Authentication**: Add custom headers for webhook authentication
+- **📊 Flexible Delivery**: Choose notification-only or include full data in payload
+- **⚙️ Global Configuration**: Set default webhook URL in config.yml for all jobs
+- **🎯 Zero Breaking Changes**: Fully backward compatible, webhooks are opt-in
+
+[Read full release notes →](../blog/release-v0.7.6.md)
+
+## Recent Releases
+
+### [Crawl4AI v0.7.5 – The Docker Hooks & Security Update](../blog/release-v0.7.5.md)
+*September 29, 2025*
+
+Crawl4AI v0.7.5 introduces the powerful Docker Hooks System for complete pipeline customization, enhanced LLM integration with custom providers, HTTPS preservation for modern web security, and resolves multiple community-reported issues.
+
+Key highlights:
+- **🔧 Docker Hooks System**: Custom Python functions at 8 key pipeline points for unprecedented customization
+- **🤖 Enhanced LLM Integration**: Custom providers with temperature control and base_url configuration
+- **🔒 HTTPS Preservation**: Secure internal link handling for modern web applications
+- **🐍 Python 3.10+ Support**: Modern language features and enhanced performance
+- **🛠️ Bug Fixes**: Resolved multiple community-reported issues including URL processing, JWT authentication, and proxy configuration
+
+[Read full release notes →](../blog/release-v0.7.5.md)
+
+## Recent Releases
+
 ### [Crawl4AI v0.7.4 – The Intelligent Table Extraction & Performance Update](../blog/release-v0.7.4.md)
 *August 17, 2025*
 
-Crawl4AI v0.7.4 introduces revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes that make Crawl4AI more robust for production workloads.
-
-Key highlights:
-- **🚀 LLMTableExtraction**: Revolutionary table extraction with intelligent chunking for massive tables
-- **⚡ Dispatcher Bug Fix**: Fixed sequential processing issue in arun_many for fast-completing tasks
-- **🧹 Memory Management Refactor**: Streamlined memory utilities and better resource management
-- **🔧 Browser Manager Fixes**: Resolved race conditions in concurrent page creation
-- **🔗 Advanced URL Processing**: Better handling of raw URLs and base tag link resolution
+Revolutionary LLM-powered table extraction with intelligent chunking, performance improvements for concurrent crawling, enhanced browser management, and critical stability fixes.
 
 [Read full release notes →](../blog/release-v0.7.4.md)
 
diff --git a/docs/md_v2/blog/releases/0.7.6.md b/docs/md_v2/blog/releases/0.7.6.md
new file mode 100644
index 00000000..e27d19cc
--- /dev/null
+++ b/docs/md_v2/blog/releases/0.7.6.md
@@ -0,0 +1,314 @@
+# Crawl4AI v0.7.6 Release Notes
+
+*Release Date: October 22, 2025*
+
+I'm excited to announce Crawl4AI v0.7.6, featuring a complete webhook infrastructure for the Docker job queue API! This release eliminates polling and brings real-time notifications to both crawling and LLM extraction workflows.
+
+## 🎯 What's New
+
+### Webhook Support for Docker Job Queue API
+
+The headline feature of v0.7.6 is comprehensive webhook support for asynchronous job processing. No more constant polling to check if your jobs are done - get instant notifications when they complete!
+
+**Key Capabilities:**
+
+- ✅ **Universal Webhook Support**: Both `/crawl/job` and `/llm/job` endpoints now support webhooks
+- ✅ **Flexible Delivery Modes**: Choose notification-only or include full data in the webhook payload
+- ✅ **Reliable Delivery**: Exponential backoff retry mechanism (5 attempts: 1s → 2s → 4s → 8s → 16s)
+- ✅ **Custom Authentication**: Add custom headers for webhook authentication
+- ✅ **Global Configuration**: Set default webhook URL in `config.yml` for all jobs
+- ✅ **Task Type Identification**: Distinguish between `crawl` and `llm_extraction` tasks
+
+### How It Works
+
+Instead of constantly checking job status:
+
+**OLD WAY (Polling):**
+```python
+# Submit job
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+task_id = response.json()['task_id']
+
+# Poll until complete
+while True:
+    status = requests.get(f"http://localhost:11235/crawl/job/{task_id}")
+    if status.json()['status'] == 'completed':
+        break
+    time.sleep(5)  # Wait and try again
+```
+
+**NEW WAY (Webhooks):**
+```python
+# Submit job with webhook
+payload = {
+    "urls": ["https://example.com"],
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+response = requests.post("http://localhost:11235/crawl/job", json=payload)
+
+# Done! Webhook will notify you when complete
+# Your webhook handler receives the results automatically
+```
+
+### Crawl Job Webhooks
+
+```bash
+curl -X POST http://localhost:11235/crawl/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "urls": ["https://example.com"],
+    "browser_config": {"headless": true},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/crawl-complete",
+      "webhook_data_in_payload": false,
+      "webhook_headers": {
+        "X-Webhook-Secret": "your-secret-token"
+      }
+    }
+  }'
+```
+
+### LLM Extraction Job Webhooks (NEW!)
+
+```bash
+curl -X POST http://localhost:11235/llm/job \
+  -H "Content-Type: application/json" \
+  -d '{
+    "url": "https://example.com/article",
+    "q": "Extract the article title, author, and publication date",
+    "schema": "{\"type\":\"object\",\"properties\":{\"title\":{\"type\":\"string\"}}}",
+    "provider": "openai/gpt-4o-mini",
+    "webhook_config": {
+      "webhook_url": "https://myapp.com/webhooks/llm-complete",
+      "webhook_data_in_payload": true
+    }
+  }'
+```
+
+### Webhook Payload Structure
+
+**Success (with data):**
+```json
+{
+  "task_id": "llm_1698765432",
+  "task_type": "llm_extraction",
+  "status": "completed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com/article"],
+  "data": {
+    "extracted_content": {
+      "title": "Understanding Web Scraping",
+      "author": "John Doe",
+      "date": "2025-10-22"
+    }
+  }
+}
+```
+
+**Failure:**
+```json
+{
+  "task_id": "crawl_abc123",
+  "task_type": "crawl",
+  "status": "failed",
+  "timestamp": "2025-10-22T10:30:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "error": "Connection timeout after 30s"
+}
+```
+
+### Simple Webhook Handler Example
+
+```python
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+@app.route('/webhook', methods=['POST'])
+def handle_webhook():
+    payload = request.json
+
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    if status == 'completed':
+        if 'data' in payload:
+            # Process data directly
+            data = payload['data']
+        else:
+            # Fetch from API
+            endpoint = 'crawl' if task_type == 'crawl' else 'llm'
+            response = requests.get(f'http://localhost:11235/{endpoint}/job/{task_id}')
+            data = response.json()
+
+        # Your business logic here
+        print(f"Job {task_id} completed!")
+
+    elif status == 'failed':
+        error = payload.get('error', 'Unknown error')
+        print(f"Job {task_id} failed: {error}")
+
+    return jsonify({"status": "received"}), 200
+
+app.run(port=8080)
+```
+
+## 📊 Performance Improvements
+
+- **Reduced Server Load**: Eliminates constant polling requests
+- **Lower Latency**: Instant notification vs. polling interval delay
+- **Better Resource Usage**: Frees up client connections while jobs run in background
+- **Scalable Architecture**: Handles high-volume crawling workflows efficiently
+
+## 🐛 Bug Fixes
+
+- Fixed webhook configuration serialization for Pydantic HttpUrl fields
+- Improved error handling in webhook delivery service
+- Enhanced Redis task storage for webhook config persistence
+
+## 🌍 Expected Real-World Impact
+
+### For Web Scraping Workflows
+- **Reduced Costs**: Less API calls = lower bandwidth and server costs
+- **Better UX**: Instant notifications improve user experience
+- **Scalability**: Handle 100s of concurrent jobs without polling overhead
+
+### For LLM Extraction Pipelines
+- **Async Processing**: Submit LLM extraction jobs and move on
+- **Batch Processing**: Queue multiple extractions, get notified as they complete
+- **Integration**: Easy integration with workflow automation tools (Zapier, n8n, etc.)
+
+### For Microservices
+- **Event-Driven**: Perfect for event-driven microservice architectures
+- **Decoupling**: Decouple job submission from result processing
+- **Reliability**: Automatic retries ensure webhooks are delivered
+
+## 🔄 Breaking Changes
+
+**None!** This release is fully backward compatible.
+
+- Webhook configuration is optional
+- Existing code continues to work without modification
+- Polling is still supported for jobs without webhook config
+
+## 📚 Documentation
+
+### New Documentation
+- **[WEBHOOK_EXAMPLES.md](../deploy/docker/WEBHOOK_EXAMPLES.md)** - Comprehensive webhook usage guide
+- **[docker_webhook_example.py](../docs/examples/docker_webhook_example.py)** - Working code examples
+
+### Updated Documentation
+- **[Docker README](../deploy/docker/README.md)** - Added webhook sections
+- API documentation with webhook examples
+
+## 🛠️ Migration Guide
+
+No migration needed! Webhooks are opt-in:
+
+1. **To use webhooks**: Add `webhook_config` to your job payload
+2. **To keep polling**: Continue using your existing code
+
+### Quick Start
+
+```python
+# Just add webhook_config to your existing payload
+payload = {
+    # Your existing configuration
+    "urls": ["https://example.com"],
+    "browser_config": {...},
+    "crawler_config": {...},
+
+    # NEW: Add webhook configuration
+    "webhook_config": {
+        "webhook_url": "https://myapp.com/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+```
+
+## 🔧 Configuration
+
+### Global Webhook Configuration (config.yml)
+
+```yaml
+webhooks:
+  enabled: true
+  default_url: "https://myapp.com/webhooks/default"  # Optional
+  data_in_payload: false
+  retry:
+    max_attempts: 5
+    initial_delay_ms: 1000
+    max_delay_ms: 32000
+    timeout_ms: 30000
+  headers:
+    User-Agent: "Crawl4AI-Webhook/1.0"
+```
+
+## 🚀 Upgrade Instructions
+
+### Docker
+
+```bash
+# Pull the latest image
+docker pull unclecode/crawl4ai:0.7.6
+
+# Or use latest tag
+docker pull unclecode/crawl4ai:latest
+
+# Run with webhook support
+docker run -d \
+  -p 11235:11235 \
+  --env-file .llm.env \
+  --name crawl4ai \
+  unclecode/crawl4ai:0.7.6
+```
+
+### Python Package
+
+```bash
+pip install --upgrade crawl4ai
+```
+
+## 💡 Pro Tips
+
+1. **Use notification-only mode** for large results - fetch data separately to avoid large webhook payloads
+2. **Set custom headers** for webhook authentication and request tracking
+3. **Configure global default webhook** for consistent handling across all jobs
+4. **Implement idempotent webhook handlers** - same webhook may be delivered multiple times on retry
+5. **Use structured schemas** with LLM extraction for predictable webhook data
+
+## 🎬 Demo
+
+Try the release demo:
+
+```bash
+python docs/releases_review/demo_v0.7.6.py
+```
+
+This comprehensive demo showcases:
+- Crawl job webhooks (notification-only and with data)
+- LLM extraction webhooks (with JSON schema support)
+- Custom headers for authentication
+- Webhook retry mechanism
+- Real-time webhook receiver
+
+## 🙏 Acknowledgments
+
+Thank you to the community for the feedback that shaped this feature! Special thanks to everyone who requested webhook support for asynchronous job processing.
+
+## 📞 Support
+
+- **Documentation**: https://docs.crawl4ai.com
+- **GitHub Issues**: https://github.com/unclecode/crawl4ai/issues
+- **Discord**: https://discord.gg/crawl4ai
+
+---
+
+**Happy crawling with webhooks!** 🕷️🪝
+
+*- unclecode*
diff --git a/docs/md_v2/blog/releases/v0.7.5.md b/docs/md_v2/blog/releases/v0.7.5.md
new file mode 100644
index 00000000..977d2fd9
--- /dev/null
+++ b/docs/md_v2/blog/releases/v0.7.5.md
@@ -0,0 +1,318 @@
+# 🚀 Crawl4AI v0.7.5: The Docker Hooks & Security Update
+
+*September 29, 2025 • 8 min read*
+
+---
+
+Today I'm releasing Crawl4AI v0.7.5—focused on extensibility and security. This update introduces the Docker Hooks System for pipeline customization, enhanced LLM integration, and important security improvements.
+
+## 🎯 What's New at a Glance
+
+- **Docker Hooks System**: Custom Python functions at key pipeline points with function-based API
+- **Function-Based Hooks**: New `hooks_to_string()` utility with Docker client auto-conversion
+- **Enhanced LLM Integration**: Custom providers with temperature control
+- **HTTPS Preservation**: Secure internal link handling
+- **Bug Fixes**: Resolved multiple community-reported issues
+- **Improved Docker Error Handling**: Better debugging and reliability
+
+## 🔧 Docker Hooks System: Pipeline Customization
+
+Every scraping project needs custom logic—authentication, performance optimization, content processing. Traditional solutions require forking or complex workarounds. Docker Hooks let you inject custom Python functions at 8 key points in the crawling pipeline.
+
+### Real Example: Authentication & Performance
+
+```python
+import requests
+
+# Real working hooks for httpbin.org
+hooks_config = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("Hook: Setting up page context")
+    # Block images to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    print("Hook: Images blocked")
+    return page
+""",
+
+    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("Hook: Before retrieving HTML")
+    # Scroll to bottom to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    print("Hook: Scrolled to bottom")
+    return page
+""",
+
+    "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"Hook: About to navigate to {url}")
+    # Add custom headers
+    await page.set_extra_http_headers({
+        'X-Test-Header': 'crawl4ai-hooks-test'
+    })
+    return page
+"""
+}
+
+# Test with Docker API
+payload = {
+    "urls": ["https://httpbin.org/html"],
+    "hooks": {
+        "code": hooks_config,
+        "timeout": 30
+    }
+}
+
+response = requests.post("http://localhost:11235/crawl", json=payload)
+result = response.json()
+
+if result.get('success'):
+    print("✅ Hooks executed successfully!")
+    print(f"Content length: {len(result.get('markdown', ''))} characters")
+```
+
+**Available Hook Points:**
+- `on_browser_created`: Browser setup
+- `on_page_context_created`: Page context configuration
+- `before_goto`: Pre-navigation setup
+- `after_goto`: Post-navigation processing
+- `on_user_agent_updated`: User agent changes
+- `on_execution_started`: Crawl initialization
+- `before_retrieve_html`: Pre-extraction processing
+- `before_return_html`: Final HTML processing
+
+### Function-Based Hooks API
+
+Writing hooks as strings works, but lacks IDE support and type checking. v0.7.5 introduces a function-based approach with automatic conversion!
+
+**Option 1: Using the `hooks_to_string()` Utility**
+
+```python
+from crawl4ai import hooks_to_string
+import requests
+
+# Define hooks as regular Python functions (with full IDE support!)
+async def on_page_context_created(page, context, **kwargs):
+    """Block images to speed up crawling"""
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+
+async def before_goto(page, context, url, **kwargs):
+    """Add custom headers"""
+    await page.set_extra_http_headers({
+        'X-Crawl4AI': 'v0.7.5',
+        'X-Custom-Header': 'my-value'
+    })
+    return page
+
+# Convert functions to strings
+hooks_code = hooks_to_string({
+    "on_page_context_created": on_page_context_created,
+    "before_goto": before_goto
+})
+
+# Use with REST API
+payload = {
+    "urls": ["https://httpbin.org/html"],
+    "hooks": {"code": hooks_code, "timeout": 30}
+}
+response = requests.post("http://localhost:11235/crawl", json=payload)
+```
+
+**Option 2: Docker Client with Automatic Conversion (Recommended!)**
+
+```python
+from crawl4ai.docker_client import Crawl4aiDockerClient
+
+# Define hooks as functions (same as above)
+async def on_page_context_created(page, context, **kwargs):
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    return page
+
+async def before_retrieve_html(page, context, **kwargs):
+    # Scroll to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+
+# Use Docker client - conversion happens automatically!
+client = Crawl4aiDockerClient(base_url="http://localhost:11235")
+
+results = await client.crawl(
+    urls=["https://httpbin.org/html"],
+    hooks={
+        "on_page_context_created": on_page_context_created,
+        "before_retrieve_html": before_retrieve_html
+    },
+    hooks_timeout=30
+)
+
+if results and results.success:
+    print(f"✅ Hooks executed! HTML length: {len(results.html)}")
+```
+
+**Benefits of Function-Based Hooks:**
+- ✅ Full IDE support (autocomplete, syntax highlighting)
+- ✅ Type checking and linting
+- ✅ Easier to test and debug
+- ✅ Reusable across projects
+- ✅ Automatic conversion in Docker client
+- ✅ No breaking changes - string hooks still work!
+
+## 🤖 Enhanced LLM Integration
+
+Enhanced LLM integration with custom providers, temperature control, and base URL configuration.
+
+### Multi-Provider Support
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.extraction_strategy import LLMExtractionStrategy
+
+# Test with different providers
+async def test_llm_providers():
+    # OpenAI with custom temperature
+    openai_strategy = LLMExtractionStrategy(
+        provider="gemini/gemini-2.5-flash-lite",
+        api_token="your-api-token",
+        temperature=0.7,  # New in v0.7.5
+        instruction="Summarize this page in one sentence"
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            "https://example.com",
+            config=CrawlerRunConfig(extraction_strategy=openai_strategy)
+        )
+
+        if result.success:
+            print("✅ LLM extraction completed")
+            print(result.extracted_content)
+
+# Docker API with enhanced LLM config
+llm_payload = {
+    "url": "https://example.com",
+    "f": "llm",
+    "q": "Summarize this page in one sentence.",
+    "provider": "gemini/gemini-2.5-flash-lite",
+    "temperature": 0.7
+}
+
+response = requests.post("http://localhost:11235/md", json=llm_payload)
+```
+
+**New Features:**
+- Custom `temperature` parameter for creativity control
+- `base_url` for custom API endpoints
+- Multi-provider environment variable support
+- Docker API integration
+
+## 🔒 HTTPS Preservation
+
+**The Problem:** Modern web apps require HTTPS everywhere. When crawlers downgrade internal links from HTTPS to HTTP, authentication breaks and security warnings appear.
+
+**Solution:** HTTPS preservation maintains secure protocols throughout crawling.
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy
+
+async def test_https_preservation():
+    # Enable HTTPS preservation
+    url_filter = URLPatternFilter(
+        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
+    )
+
+    config = CrawlerRunConfig(
+        exclude_external_links=True,
+        preserve_https_for_internal_links=True,  # New in v0.7.5
+        deep_crawl_strategy=BFSDeepCrawlStrategy(
+            max_depth=2,
+            max_pages=5,
+            filter_chain=FilterChain([url_filter])
+        )
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        async for result in await crawler.arun(
+            url="https://quotes.toscrape.com",
+            config=config
+        ):
+            # All internal links maintain HTTPS
+            internal_links = [link['href'] for link in result.links['internal']]
+            https_links = [link for link in internal_links if link.startswith('https://')]
+
+            print(f"HTTPS links preserved: {len(https_links)}/{len(internal_links)}")
+            for link in https_links[:3]:
+                print(f"  → {link}")
+```
+
+## 🛠️ Bug Fixes and Improvements
+
+### Major Fixes
+- **URL Processing**: Fixed '+' sign preservation in query parameters (#1332)
+- **Proxy Configuration**: Enhanced proxy string parsing (old `proxy` parameter deprecated)
+- **Docker Error Handling**: Comprehensive error messages with status codes
+- **Memory Management**: Fixed leaks in long-running sessions
+- **JWT Authentication**: Fixed Docker JWT validation issues (#1442)
+- **Playwright Stealth**: Fixed stealth features for Playwright integration (#1481)
+- **API Configuration**: Fixed config handling to prevent overriding user-provided settings (#1505)
+- **Docker Filter Serialization**: Resolved JSON encoding errors in deep crawl strategy (#1419)
+- **LLM Provider Support**: Fixed custom LLM provider integration for adaptive crawler (#1291)
+- **Performance Issues**: Resolved backoff strategy failures and timeout handling (#989)
+
+### Community-Reported Issues Fixed
+This release addresses multiple issues reported by the community through GitHub issues and Discord discussions:
+- Fixed browser configuration reference errors
+- Resolved dependency conflicts with cssselect
+- Improved error messaging for failed authentications
+- Enhanced compatibility with various proxy configurations
+- Fixed edge cases in URL normalization
+
+### Configuration Updates
+```python
+# Old proxy config (deprecated)
+# browser_config = BrowserConfig(proxy="http://proxy:8080")
+
+# New enhanced proxy config
+browser_config = BrowserConfig(
+    proxy_config={
+        "server": "http://proxy:8080",
+        "username": "optional-user",
+        "password": "optional-pass"
+    }
+)
+```
+
+## 🔄 Breaking Changes
+
+1. **Python 3.10+ Required**: Upgrade from Python 3.9
+2. **Proxy Parameter Deprecated**: Use new `proxy_config` structure
+3. **New Dependency**: Added `cssselect` for better CSS handling
+
+## 🚀 Get Started
+
+```bash
+# Install latest version
+pip install crawl4ai==0.7.5
+
+# Docker deployment
+docker pull unclecode/crawl4ai:latest
+docker run -p 11235:11235 unclecode/crawl4ai:latest
+```
+
+**Try the Demo:**
+```bash
+# Run working examples
+python docs/releases_review/demo_v0.7.5.py
+```
+
+**Resources:**
+- 📖 Documentation: [docs.crawl4ai.com](https://docs.crawl4ai.com)
+- 🐙 GitHub: [github.com/unclecode/crawl4ai](https://github.com/unclecode/crawl4ai)
+- 💬 Discord: [discord.gg/crawl4ai](https://discord.gg/jP8KfhDhyN)
+- 🐦 Twitter: [@unclecode](https://x.com/unclecode)
+
+Happy crawling! 🕷️
diff --git a/docs/md_v2/branding/index.md b/docs/md_v2/branding/index.md
new file mode 100644
index 00000000..5741344d
--- /dev/null
+++ b/docs/md_v2/branding/index.md
@@ -0,0 +1,1371 @@
+# 🎨 Crawl4AI Brand Book
+
+<style>
+/* Brand Book Styles */
+.brand-hero {
+    background: linear-gradient(135deg, #070708 0%, #1a1a1a 100%);
+    border: 2px solid #50ffff;
+    padding: 3rem;
+    margin: 2rem 0;
+    border-radius: 12px;
+    text-align: center;
+}
+
+.brand-hero h1 {
+    font-size: 2.5rem;
+    margin: 0 0 1rem 0;
+    background: linear-gradient(135deg, #50ffff 0%, #f380f5 100%);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+    background-clip: text;
+}
+
+.brand-hero p {
+    font-size: 1.1rem;
+    color: #d5cec0;
+    margin: 0;
+}
+
+/* Color System */
+.color-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+    gap: 1.5rem;
+    margin: 2rem 0;
+}
+
+.color-card {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    overflow: hidden;
+    transition: transform 0.2s ease, box-shadow 0.2s ease;
+    cursor: pointer;
+}
+
+.color-card:hover {
+    transform: translateY(-4px);
+    box-shadow: 0 8px 16px rgba(80, 255, 255, 0.2);
+}
+
+.color-swatch {
+    height: 120px;
+    width: 100%;
+    position: relative;
+}
+
+.color-info {
+    padding: 1rem;
+}
+
+.color-name {
+    font-weight: 600;
+    color: #e8e9ed;
+    margin: 0 0 0.5rem 0;
+    font-size: 1rem;
+}
+
+.color-value {
+    font-family: 'Monaco', monospace;
+    font-size: 0.875rem;
+    color: #09b5a5;
+    background: #070708;
+    padding: 0.25rem 0.5rem;
+    border-radius: 4px;
+    display: inline-block;
+}
+
+.color-usage {
+    margin-top: 0.5rem;
+    font-size: 0.75rem;
+    color: #a3abba;
+}
+
+/* Typography Showcase */
+.type-specimen {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    padding: 2rem;
+    margin: 1.5rem 0;
+    border-radius: 8px;
+}
+
+.type-specimen h1,
+.type-specimen h2,
+.type-specimen h3,
+.type-specimen h4 {
+    margin-top: 0;
+}
+
+.type-label {
+    display: inline-block;
+    background: #50ffff;
+    color: #070708;
+    padding: 0.25rem 0.75rem;
+    border-radius: 4px;
+    font-size: 0.75rem;
+    font-weight: 600;
+    margin-bottom: 0.5rem;
+}
+
+.type-details {
+    display: flex;
+    gap: 2rem;
+    margin-top: 0.5rem;
+    font-size: 0.875rem;
+    color: #a3abba;
+    font-family: 'Monaco', monospace;
+}
+
+/* Component Showcase */
+.component-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 2rem;
+    margin: 2rem 0;
+}
+
+.component-card {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    padding: 1.5rem;
+}
+
+.component-title {
+    font-size: 1.1rem;
+    font-weight: 600;
+    color: #e8e9ed;
+    margin: 0 0 1rem 0;
+}
+
+.component-demo {
+    background: #070708;
+    padding: 1.5rem;
+    border-radius: 8px;
+    margin: 1rem 0;
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+    align-items: flex-start;
+}
+
+/* Buttons */
+.brand-btn {
+    padding: 0.75rem 1.5rem;
+    border: none;
+    border-radius: 6px;
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.875rem;
+    font-weight: 600;
+    cursor: pointer;
+    transition: all 0.2s ease;
+    text-decoration: none;
+    display: inline-block;
+}
+
+.brand-btn-primary {
+    background: #50ffff;
+    color: #070708;
+}
+
+.brand-btn-primary:hover {
+    background: #09b5a5;
+    transform: scale(1.05);
+}
+
+.brand-btn-secondary {
+    background: #3f3f44;
+    color: #e8e9ed;
+    border: 1px solid #50ffff;
+}
+
+.brand-btn-secondary:hover {
+    background: #50ffff;
+    color: #070708;
+}
+
+.brand-btn-accent {
+    background: #f380f5;
+    color: #070708;
+}
+
+.brand-btn-accent:hover {
+    background: #d060d5;
+    transform: scale(1.05);
+}
+
+.brand-btn-ghost {
+    background: transparent;
+    color: #50ffff;
+    border: 2px solid #50ffff;
+}
+
+.brand-btn-ghost:hover {
+    background: #50ffff;
+    color: #070708;
+}
+
+.brand-btn:disabled {
+    opacity: 0.5;
+    cursor: not-allowed;
+    transform: none !important;
+}
+
+/* Badges */
+.brand-badge {
+    display: inline-block;
+    padding: 0.25rem 0.75rem;
+    border-radius: 20px;
+    font-size: 0.75rem;
+    font-weight: 600;
+    text-transform: uppercase;
+}
+
+.badge-available {
+    background: #50ffff;
+    color: #070708;
+}
+
+.badge-beta {
+    background: #f59e0b;
+    color: #070708;
+}
+
+.badge-alpha {
+    background: #f380f5;
+    color: #070708;
+}
+
+.badge-new {
+    background: #50ff50;
+    color: #070708;
+}
+
+.badge-coming-soon {
+    background: #2a2a2a;
+    color: #888;
+}
+
+/* Cards */
+.brand-card {
+    background: #3f3f44;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    padding: 1.5rem;
+    transition: all 0.3s ease;
+}
+
+.brand-card:hover {
+    transform: translateY(-4px);
+    box-shadow: 0 8px 16px rgba(0, 0, 0, 0.3);
+    border-color: #50ffff;
+}
+
+.brand-card-title {
+    font-size: 1.2rem;
+    font-weight: 600;
+    color: #e8e9ed;
+    margin: 0 0 0.5rem 0;
+}
+
+.brand-card-description {
+    color: #a3abba;
+    line-height: 1.6;
+    margin: 0;
+}
+
+/* Terminal Window */
+.terminal-window {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    overflow: hidden;
+    margin: 1.5rem 0;
+}
+
+.terminal-header {
+    background: #3f3f44;
+    padding: 0.75rem 1rem;
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+}
+
+.terminal-dots {
+    display: flex;
+    gap: 0.5rem;
+}
+
+.terminal-dot {
+    width: 12px;
+    height: 12px;
+    border-radius: 50%;
+}
+
+.terminal-dot.red { background: #ff3c74; }
+.terminal-dot.yellow { background: #f59e0b; }
+.terminal-dot.green { background: #50ff50; }
+
+.terminal-title {
+    color: #d5cec0;
+    font-size: 0.875rem;
+}
+
+.terminal-content {
+    padding: 1.5rem;
+}
+
+/* Code Display */
+.code-showcase {
+    background: #070708;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    overflow: hidden;
+    margin: 1rem 0;
+}
+
+.code-header {
+    background: #1a1a1a;
+    padding: 0.5rem 1rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.code-language {
+    color: #09b5a5;
+    font-size: 0.75rem;
+    font-weight: 600;
+    text-transform: uppercase;
+}
+
+.copy-code-btn {
+    background: transparent;
+    border: 1px solid #3f3f44;
+    color: #a3abba;
+    padding: 0.25rem 0.75rem;
+    border-radius: 4px;
+    font-size: 0.75rem;
+    cursor: pointer;
+    transition: all 0.2s ease;
+}
+
+.copy-code-btn:hover {
+    background: #50ffff;
+    color: #070708;
+    border-color: #50ffff;
+}
+
+/* Spacing System */
+.spacing-demo {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+    margin: 1.5rem 0;
+}
+
+.spacing-item {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+}
+
+.spacing-visual {
+    height: 40px;
+    background: #50ffff;
+    border-radius: 4px;
+    transition: all 0.2s ease;
+}
+
+.spacing-label {
+    font-family: 'Monaco', monospace;
+    color: #e8e9ed;
+    font-size: 0.875rem;
+}
+
+/* Layout Patterns */
+.layout-example {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    padding: 1rem;
+    margin: 1.5rem 0;
+}
+
+.layout-preview {
+    background: #070708;
+    padding: 1rem;
+    border-radius: 4px;
+    min-height: 200px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    color: #a3abba;
+    font-size: 0.875rem;
+}
+
+/* Usage Guidelines */
+.guideline-grid {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 2rem;
+    margin: 2rem 0;
+}
+
+.do-card,
+.dont-card {
+    background: #1a1a1a;
+    border-radius: 8px;
+    overflow: hidden;
+}
+
+.do-card {
+    border: 2px solid #50ff50;
+}
+
+.dont-card {
+    border: 2px solid #ff3c74;
+}
+
+.card-header {
+    padding: 0.75rem 1rem;
+    font-weight: 600;
+    text-align: center;
+}
+
+.do-card .card-header {
+    background: #50ff5020;
+    color: #50ff50;
+}
+
+.dont-card .card-header {
+    background: #ff3c7420;
+    color: #ff3c74;
+}
+
+.card-example {
+    padding: 2rem;
+    min-height: 150px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+}
+
+/* Section Headers */
+.section-header {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+    margin: 3rem 0 1.5rem 0;
+    padding-bottom: 0.5rem;
+    border-bottom: 2px solid #3f3f44;
+}
+
+.section-icon {
+    font-size: 2rem;
+}
+
+.section-title {
+    font-size: 1.75rem;
+    margin: 0;
+    color: #e8e9ed;
+}
+
+/* Interactive Demo */
+.interactive-demo {
+    background: #1a1a1a;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    padding: 2rem;
+    margin: 2rem 0;
+}
+
+.demo-controls {
+    display: flex;
+    gap: 1rem;
+    margin-bottom: 2rem;
+    flex-wrap: wrap;
+}
+
+.demo-output {
+    background: #070708;
+    border: 1px solid #3f3f44;
+    border-radius: 8px;
+    padding: 2rem;
+    min-height: 150px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+}
+
+/* Responsive */
+@media (max-width: 768px) {
+    .color-grid {
+        grid-template-columns: 1fr;
+    }
+
+    .component-grid {
+        grid-template-columns: 1fr;
+    }
+
+    .guideline-grid {
+        grid-template-columns: 1fr;
+    }
+
+    .brand-hero {
+        padding: 2rem 1rem;
+    }
+
+    .brand-hero h1 {
+        font-size: 1.75rem;
+    }
+}
+
+/* Click to copy */
+.click-to-copy {
+    cursor: pointer;
+    position: relative;
+}
+
+.click-to-copy:hover::after {
+    content: 'Click to copy';
+    position: absolute;
+    bottom: -2rem;
+    left: 50%;
+    transform: translateX(-50%);
+    background: #070708;
+    border: 1px solid #50ffff;
+    padding: 0.5rem 1rem;
+    border-radius: 4px;
+    font-size: 0.75rem;
+    white-space: nowrap;
+    z-index: 10;
+}
+
+.copied-indicator {
+    position: fixed;
+    top: 2rem;
+    right: 2rem;
+    background: #50ff50;
+    color: #070708;
+    padding: 1rem 1.5rem;
+    border-radius: 8px;
+    font-weight: 600;
+    opacity: 0;
+    animation: fadeInOut 2s ease-in-out;
+    z-index: 1000;
+}
+
+@keyframes fadeInOut {
+    0%, 100% { opacity: 0; }
+    10%, 90% { opacity: 1; }
+}
+</style>
+
+<div class="brand-hero">
+    <h1>Crawl4AI Brand Guidelines</h1>
+    <p>A comprehensive design system for building consistent, terminal-inspired experiences</p>
+</div>
+
+## 📖 About This Guide
+
+This brand book documents the complete visual language of Crawl4AI. Whether you're building documentation pages, interactive apps, or Chrome extensions, these guidelines ensure consistency while maintaining the unique terminal-aesthetic that defines our brand.
+
+---
+
+<div class="section-header">
+    <span class="section-icon">🎨</span>
+    <h2 class="section-title">Color System</h2>
+</div>
+
+Our color palette is built around a terminal-dark aesthetic with vibrant cyan and pink accents. Every color serves a purpose and maintains accessibility standards.
+
+### Primary Colors
+
+<div class="color-grid">
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#50ffff', this)">
+        <div class="color-swatch" style="background: #50ffff;"></div>
+        <div class="color-info">
+            <p class="color-name">Primary Cyan</p>
+            <code class="color-value">#50ffff</code>
+            <p class="color-usage">Main brand color, links, highlights, CTAs</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#09b5a5', this)">
+        <div class="color-swatch" style="background: #09b5a5;"></div>
+        <div class="color-info">
+            <p class="color-name">Primary Teal</p>
+            <code class="color-value">#09b5a5</code>
+            <p class="color-usage">Hover states, dimmed accents, progress bars</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#0fbbaa', this)">
+        <div class="color-swatch" style="background: #0fbbaa;"></div>
+        <div class="color-info">
+            <p class="color-name">Primary Green</p>
+            <code class="color-value">#0fbbaa</code>
+            <p class="color-usage">Alternative primary, buttons, nav links</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#f380f5', this)">
+        <div class="color-swatch" style="background: #f380f5;"></div>
+        <div class="color-info">
+            <p class="color-name">Accent Pink</p>
+            <code class="color-value">#f380f5</code>
+            <p class="color-usage">Secondary accents, keywords, highlights</p>
+        </div>
+    </div>
+</div>
+
+### Background Colors
+
+<div class="color-grid">
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#070708', this)">
+        <div class="color-swatch" style="background: #070708; border: 1px solid #3f3f44;"></div>
+        <div class="color-info">
+            <p class="color-name">Deep Black</p>
+            <code class="color-value">#070708</code>
+            <p class="color-usage">Main background, code blocks, deep containers</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#1a1a1a', this)">
+        <div class="color-swatch" style="background: #1a1a1a;"></div>
+        <div class="color-info">
+            <p class="color-name">Secondary Dark</p>
+            <code class="color-value">#1a1a1a</code>
+            <p class="color-usage">Headers, sidebars, secondary containers</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#3f3f44', this)">
+        <div class="color-swatch" style="background: #3f3f44;"></div>
+        <div class="color-info">
+            <p class="color-name">Tertiary Gray</p>
+            <code class="color-value">#3f3f44</code>
+            <p class="color-usage">Cards, borders, code backgrounds, modals</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#202020', this)">
+        <div class="color-swatch" style="background: #202020;"></div>
+        <div class="color-info">
+            <p class="color-name">Block Background</p>
+            <code class="color-value">#202020</code>
+            <p class="color-usage">Block elements, alternate rows</p>
+        </div>
+    </div>
+</div>
+
+### Text Colors
+
+<div class="color-grid">
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#e8e9ed', this)">
+        <div class="color-swatch" style="background: #e8e9ed;"></div>
+        <div class="color-info">
+            <p class="color-name">Primary Text</p>
+            <code class="color-value">#e8e9ed</code>
+            <p class="color-usage">Headings, body text, primary content</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#d5cec0', this)">
+        <div class="color-swatch" style="background: #d5cec0;"></div>
+        <div class="color-info">
+            <p class="color-name">Secondary Text</p>
+            <code class="color-value">#d5cec0</code>
+            <p class="color-usage">Body text, descriptions, warm tone</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#a3abba', this)">
+        <div class="color-swatch" style="background: #a3abba;"></div>
+        <div class="color-info">
+            <p class="color-name">Tertiary Text</p>
+            <code class="color-value">#a3abba</code>
+            <p class="color-usage">Captions, labels, metadata, cool tone</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#8b857a', this)">
+        <div class="color-swatch" style="background: #8b857a;"></div>
+        <div class="color-info">
+            <p class="color-name">Dimmed Text</p>
+            <code class="color-value">#8b857a</code>
+            <p class="color-usage">Disabled states, comments, subtle text</p>
+        </div>
+    </div>
+</div>
+
+### Semantic Colors
+
+<div class="color-grid">
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#50ff50', this)">
+        <div class="color-swatch" style="background: #50ff50;"></div>
+        <div class="color-info">
+            <p class="color-name">Success Green</p>
+            <code class="color-value">#50ff50</code>
+            <p class="color-usage">Success messages, completed states, valid</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#ff3c74', this)">
+        <div class="color-swatch" style="background: #ff3c74;"></div>
+        <div class="color-info">
+            <p class="color-name">Error Red</p>
+            <code class="color-value">#ff3c74</code>
+            <p class="color-usage">Errors, warnings, destructive actions</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#f59e0b', this)">
+        <div class="color-swatch" style="background: #f59e0b;"></div>
+        <div class="color-info">
+            <p class="color-name">Warning Orange</p>
+            <code class="color-value">#f59e0b</code>
+            <p class="color-usage">Warnings, beta status, caution</p>
+        </div>
+    </div>
+
+    <div class="color-card click-to-copy" onclick="copyToClipboard('#4a9eff', this)">
+        <div class="color-swatch" style="background: #4a9eff;"></div>
+        <div class="color-info">
+            <p class="color-name">Info Blue</p>
+            <code class="color-value">#4a9eff</code>
+            <p class="color-usage">Info messages, external links</p>
+        </div>
+    </div>
+</div>
+
+---
+
+<div class="section-header">
+    <span class="section-icon">✍️</span>
+    <h2 class="section-title">Typography</h2>
+</div>
+
+Our typography system is built around **Dank Mono**, a monospace font that reinforces the terminal aesthetic while maintaining excellent readability.
+
+### Font Family
+
+```css
+--font-primary: 'Dank Mono', dm, Monaco, Courier New, monospace;
+--font-code: 'Dank Mono', 'Monaco', 'Menlo', 'Consolas', monospace;
+```
+
+**Font Weights:**
+- Regular: 400
+- Bold: 700
+- Italic: 400 (italic variant)
+
+### Type Scale
+
+<div class="type-specimen">
+    <span class="type-label">H1 / Hero</span>
+    <div class="type-details">
+        <span>Size: 2.5rem (40px)</span>
+        <span>Weight: 700</span>
+        <span>Line-height: 1.2</span>
+    </div>
+    <h1 style="font-size: 2.5rem; margin-top: 1rem;">The Quick Brown Fox Jumps Over</h1>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">H2 / Section</span>
+    <div class="type-details">
+        <span>Size: 1.75rem (28px)</span>
+        <span>Weight: 700</span>
+        <span>Line-height: 1.3</span>
+    </div>
+    <h2 style="font-size: 1.75rem; margin-top: 1rem;">Advanced Web Scraping Features</h2>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">H3 / Subsection</span>
+    <div class="type-details">
+        <span>Size: 1.3rem (20.8px)</span>
+        <span>Weight: 600</span>
+        <span>Line-height: 1.4</span>
+    </div>
+    <h3 style="font-size: 1.3rem; margin-top: 1rem;">Installation and Setup Guide</h3>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">H4 / Component</span>
+    <div class="type-details">
+        <span>Size: 1.1rem (17.6px)</span>
+        <span>Weight: 600</span>
+        <span>Line-height: 1.4</span>
+    </div>
+    <h4 style="font-size: 1.1rem; margin-top: 1rem;">Quick Start Instructions</h4>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">Body / Regular</span>
+    <div class="type-details">
+        <span>Size: 14px</span>
+        <span>Weight: 400</span>
+        <span>Line-height: 1.6</span>
+    </div>
+    <p style="margin-top: 1rem; font-size: 14px;">Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for large language models and data pipelines.</p>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">Code / Monospace</span>
+    <div class="type-details">
+        <span>Size: 13px</span>
+        <span>Weight: 400</span>
+        <span>Line-height: 1.5</span>
+    </div>
+    <code style="margin-top: 1rem; display: block; background: #070708; padding: 1rem; border-radius: 4px;">async with AsyncWebCrawler() as crawler:</code>
+</div>
+
+<div class="type-specimen">
+    <span class="type-label">Small / Caption</span>
+    <div class="type-details">
+        <span>Size: 12px</span>
+        <span>Weight: 400</span>
+        <span>Line-height: 1.5</span>
+    </div>
+    <p style="margin-top: 1rem; font-size: 12px; color: #a3abba;">Updated 2 hours ago • v0.7.2</p>
+</div>
+
+---
+
+<div class="section-header">
+    <span class="section-icon">🧩</span>
+    <h2 class="section-title">Components</h2>
+</div>
+
+### Buttons
+
+<div class="component-grid">
+    <div class="component-card">
+        <h3 class="component-title">Primary Button</h3>
+        <div class="component-demo">
+            <button class="brand-btn brand-btn-primary">Launch Editor →</button>
+            <button class="brand-btn brand-btn-primary" disabled>Processing...</button>
+        </div>
+        <div class="code-showcase">
+            <div class="code-header">
+                <span class="code-language">HTML + CSS</span>
+                <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+            </div>
+            <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;button class="brand-btn brand-btn-primary"&gt;
+  Launch Editor →
+&lt;/button&gt;</code></pre>
+        </div>
+    </div>
+
+    <div class="component-card">
+        <h3 class="component-title">Secondary Button</h3>
+        <div class="component-demo">
+            <button class="brand-btn brand-btn-secondary">View Documentation</button>
+            <button class="brand-btn brand-btn-secondary" disabled>Loading...</button>
+        </div>
+        <div class="code-showcase">
+            <div class="code-header">
+                <span class="code-language">HTML + CSS</span>
+                <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+            </div>
+            <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;button class="brand-btn brand-btn-secondary"&gt;
+  View Documentation
+&lt;/button&gt;</code></pre>
+        </div>
+    </div>
+
+    <div class="component-card">
+        <h3 class="component-title">Accent Button</h3>
+        <div class="component-demo">
+            <button class="brand-btn brand-btn-accent">Try Beta Features</button>
+            <button class="brand-btn brand-btn-accent" disabled>Unavailable</button>
+        </div>
+        <div class="code-showcase">
+            <div class="code-header">
+                <span class="code-language">HTML + CSS</span>
+                <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+            </div>
+            <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;button class="brand-btn brand-btn-accent"&gt;
+  Try Beta Features
+&lt;/button&gt;</code></pre>
+        </div>
+    </div>
+
+    <div class="component-card">
+        <h3 class="component-title">Ghost Button</h3>
+        <div class="component-demo">
+            <button class="brand-btn brand-btn-ghost">Learn More</button>
+            <button class="brand-btn brand-btn-ghost" disabled>Coming Soon</button>
+        </div>
+        <div class="code-showcase">
+            <div class="code-header">
+                <span class="code-language">HTML + CSS</span>
+                <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+            </div>
+            <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;button class="brand-btn brand-btn-ghost"&gt;
+  Learn More
+&lt;/button&gt;</code></pre>
+        </div>
+    </div>
+</div>
+
+### Badges & Status Indicators
+
+<div class="component-card" style="max-width: 800px; margin: 2rem 0;">
+    <h3 class="component-title">Status Badges</h3>
+    <div class="component-demo" style="flex-direction: row; flex-wrap: wrap;">
+        <span class="brand-badge badge-available">Available</span>
+        <span class="brand-badge badge-beta">Beta</span>
+        <span class="brand-badge badge-alpha">Alpha</span>
+        <span class="brand-badge badge-new">New!</span>
+        <span class="brand-badge badge-coming-soon">Coming Soon</span>
+    </div>
+    <div class="code-showcase">
+        <div class="code-header">
+            <span class="code-language">HTML + CSS</span>
+            <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+        </div>
+        <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;span class="brand-badge badge-available"&gt;Available&lt;/span&gt;
+&lt;span class="brand-badge badge-beta"&gt;Beta&lt;/span&gt;
+&lt;span class="brand-badge badge-alpha"&gt;Alpha&lt;/span&gt;
+&lt;span class="brand-badge badge-new"&gt;New!&lt;/span&gt;</code></pre>
+    </div>
+</div>
+
+### Cards
+
+<div class="component-grid">
+    <div class="brand-card">
+        <h3 class="brand-card-title">🎨 C4A-Script Editor</h3>
+        <p class="brand-card-description">A visual, block-based programming environment for creating browser automation scripts. Perfect for beginners and experts alike!</p>
+        <button class="brand-btn brand-btn-primary" style="margin-top: 1rem;">Launch Editor →</button>
+    </div>
+
+    <div class="brand-card">
+        <h3 class="brand-card-title">🧠 LLM Context Builder</h3>
+        <p class="brand-card-description">Generate optimized context files for your favorite LLM when working with Crawl4AI. Get focused, relevant documentation based on your needs.</p>
+        <button class="brand-btn brand-btn-primary" style="margin-top: 1rem;">Launch Builder →</button>
+    </div>
+</div>
+
+<div class="code-showcase" style="margin-top: 2rem;">
+    <div class="code-header">
+        <span class="code-language">HTML + CSS</span>
+        <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+    </div>
+    <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;div class="brand-card"&gt;
+  &lt;h3 class="brand-card-title"&gt;Card Title&lt;/h3&gt;
+  &lt;p class="brand-card-description"&gt;Card description...&lt;/p&gt;
+&lt;/div&gt;</code></pre>
+</div>
+
+### Terminal Window
+
+<div class="terminal-window">
+    <div class="terminal-header">
+        <div class="terminal-dots">
+            <span class="terminal-dot red"></span>
+            <span class="terminal-dot yellow"></span>
+            <span class="terminal-dot green"></span>
+        </div>
+        <span class="terminal-title">crawl4ai@terminal ~ %</span>
+    </div>
+    <div class="terminal-content">
+        <p style="color: #09b5a5; margin: 0;">$ pip install crawl4ai</p>
+        <p style="color: #d5cec0; margin: 0.5rem 0 0 0;">Successfully installed crawl4ai-0.7.2</p>
+    </div>
+</div>
+
+<div class="code-showcase">
+    <div class="code-header">
+        <span class="code-language">HTML + CSS</span>
+        <button class="copy-code-btn" onclick="copyCode(this)">Copy</button>
+    </div>
+    <pre style="margin: 0; padding: 1rem; background: #070708;"><code>&lt;div class="terminal-window"&gt;
+  &lt;div class="terminal-header"&gt;
+    &lt;div class="terminal-dots"&gt;
+      &lt;span class="terminal-dot red"&gt;&lt;/span&gt;
+      &lt;span class="terminal-dot yellow"&gt;&lt;/span&gt;
+      &lt;span class="terminal-dot green"&gt;&lt;/span&gt;
+    &lt;/div&gt;
+    &lt;span class="terminal-title"&gt;Terminal Title&lt;/span&gt;
+  &lt;/div&gt;
+  &lt;div class="terminal-content"&gt;
+    Your content here
+  &lt;/div&gt;
+&lt;/div&gt;</code></pre>
+</div>
+
+---
+
+<div class="section-header">
+    <span class="section-icon">📐</span>
+    <h2 class="section-title">Spacing & Layout</h2>
+</div>
+
+### Spacing System
+
+Our spacing system is based on multiples of **10px** for consistency and ease of calculation.
+
+<div class="spacing-demo">
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 10px;"></div>
+        <span class="spacing-label">10px - Extra Small (xs)</span>
+    </div>
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 20px;"></div>
+        <span class="spacing-label">20px - Small (sm)</span>
+    </div>
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 30px;"></div>
+        <span class="spacing-label">30px - Medium (md)</span>
+    </div>
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 40px;"></div>
+        <span class="spacing-label">40px - Large (lg)</span>
+    </div>
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 60px;"></div>
+        <span class="spacing-label">60px - Extra Large (xl)</span>
+    </div>
+    <div class="spacing-item">
+        <div class="spacing-visual" style="width: 80px;"></div>
+        <span class="spacing-label">80px - 2XL</span>
+    </div>
+</div>
+
+### Layout Patterns
+
+#### Terminal Container
+Full-height, flex-column layout with sticky header
+
+```css
+.terminal-container {
+    min-height: 100vh;
+    display: flex;
+    flex-direction: column;
+}
+```
+
+#### Content Grid
+Auto-fit responsive grid for cards and components
+
+```css
+.component-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 2rem;
+}
+```
+
+#### Centered Content
+Maximum width with auto margins for centered layouts
+
+```css
+.content {
+    max-width: 1200px;
+    margin: 0 auto;
+    padding: 2rem;
+}
+```
+
+---
+
+<div class="section-header">
+    <span class="section-icon">✅</span>
+    <h2 class="section-title">Usage Guidelines</h2>
+</div>
+
+### When to Use Each Style
+
+**Documentation Pages (`docs/md_v2/core`, `/advanced`, etc.)**
+- Use main documentation styles from `styles.css` and `layout.css`
+- Terminal theme with sidebar navigation
+- Dense, informative content
+- ToC on the right side
+- Focus on readability and technical accuracy
+
+**Landing Pages (`docs/md_v2/apps/crawl4ai-assistant`, etc.)**
+- Use `assistant.css` style approach
+- Hero sections with gradients
+- Feature cards with hover effects
+- Video/demo sections
+- Sticky header with navigation
+- Marketing-focused, visually engaging
+
+**App Home (`docs/md_v2/apps/index.md`)**
+- Grid-based card layouts
+- Status badges
+- Call-to-action buttons
+- Feature highlights
+- Mix of informational and promotional
+
+**Interactive Apps (`docs/md_v2/apps/llmtxt`, `/c4a-script`)**
+- Full-screen application layouts
+- Interactive controls
+- Real-time feedback
+- Tool-specific UI patterns
+- Functional over decorative
+
+**Chrome Extension (`popup.css`)**
+- Compact, fixed-width design (380px)
+- Clear mode selection
+- Session indicators
+- Minimal but effective
+- Fast loading, no heavy assets
+
+### Do's and Don'ts
+
+<div class="guideline-grid">
+    <div class="do-card">
+        <div class="card-header">✅ DO</div>
+        <div class="card-example">
+            <button class="brand-btn brand-btn-primary">Launch App →</button>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Use primary cyan for main CTAs and important actions
+        </div>
+    </div>
+
+    <div class="dont-card">
+        <div class="card-header">❌ DON'T</div>
+        <div class="card-example">
+            <button style="padding: 0.75rem 1.5rem; background: #ff0000; color: white; border: none; border-radius: 6px;">Launch App →</button>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Don't use arbitrary colors not in the brand palette
+        </div>
+    </div>
+</div>
+
+<div class="guideline-grid">
+    <div class="do-card">
+        <div class="card-header">✅ DO</div>
+        <div class="card-example">
+            <div style="font-family: 'Dank Mono', monospace; color: #e8e9ed;">
+                <code>async with AsyncWebCrawler():</code>
+            </div>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Use Dank Mono for all text to maintain terminal aesthetic
+        </div>
+    </div>
+
+    <div class="dont-card">
+        <div class="card-header">❌ DON'T</div>
+        <div class="card-example">
+            <div style="font-family: 'Arial', sans-serif; color: #e8e9ed;">
+                async with AsyncWebCrawler():
+            </div>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Don't use non-monospace fonts (breaks terminal feel)
+        </div>
+    </div>
+</div>
+
+<div class="guideline-grid">
+    <div class="do-card">
+        <div class="card-header">✅ DO</div>
+        <div class="card-example">
+            <div class="brand-card" style="padding: 1rem;">
+                <span class="brand-badge badge-beta">Beta</span>
+                <h4 style="margin: 0.5rem 0; font-size: 1rem;">New Feature</h4>
+            </div>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Use status badges to indicate feature maturity
+        </div>
+    </div>
+
+    <div class="dont-card">
+        <div class="card-header">❌ DON'T</div>
+        <div class="card-example">
+            <div class="brand-card" style="padding: 1rem;">
+                <h4 style="margin: 0; font-size: 1rem;">New Feature (Beta)</h4>
+            </div>
+        </div>
+        <div style="padding: 1rem; font-size: 0.875rem; color: #d5cec0;">
+            Don't put status indicators in plain text
+        </div>
+    </div>
+</div>
+
+---
+
+<div class="section-header">
+    <span class="section-icon">🎯</span>
+    <h2 class="section-title">Accessibility</h2>
+</div>
+
+### Color Contrast
+
+All color combinations meet WCAG AA standards:
+
+- **Primary Cyan (#50ffff) on Dark (#070708)**: 12.4:1 ✅
+- **Primary Text (#e8e9ed) on Dark (#070708)**: 11.8:1 ✅
+- **Secondary Text (#d5cec0) on Dark (#070708)**: 9.2:1 ✅
+- **Tertiary Text (#a3abba) on Dark (#070708)**: 6.8:1 ✅
+
+### Focus States
+
+All interactive elements must have visible focus indicators:
+
+```css
+button:focus,
+a:focus {
+    outline: 2px solid #50ffff;
+    outline-offset: 2px;
+}
+```
+
+### Motion
+
+Respect `prefers-reduced-motion` for users who need it:
+
+```css
+@media (prefers-reduced-motion: reduce) {
+    * {
+        animation-duration: 0.01ms !important;
+        transition-duration: 0.01ms !important;
+    }
+}
+```
+
+---
+
+<div class="section-header">
+    <span class="section-icon">💾</span>
+    <h2 class="section-title">CSS Variables</h2>
+</div>
+
+Use these CSS variables for consistency across all styles:
+
+```css
+:root {
+    /* Colors */
+    --primary-color: #50ffff;
+    --primary-dimmed: #09b5a5;
+    --primary-green: #0fbbaa;
+    --accent-color: #f380f5;
+
+    /* Backgrounds */
+    --background-color: #070708;
+    --bg-secondary: #1a1a1a;
+    --code-bg-color: #3f3f44;
+    --border-color: #3f3f44;
+
+    /* Text */
+    --font-color: #e8e9ed;
+    --secondary-color: #d5cec0;
+    --tertiary-color: #a3abba;
+
+    /* Semantic */
+    --success-color: #50ff50;
+    --error-color: #ff3c74;
+    --warning-color: #f59e0b;
+
+    /* Typography */
+    --font-primary: 'Dank Mono', dm, Monaco, Courier New, monospace;
+    --global-font-size: 14px;
+    --global-line-height: 1.6;
+
+    /* Spacing */
+    --global-space: 10px;
+
+    /* Layout */
+    --header-height: 65px;
+    --sidebar-width: 280px;
+    --toc-width: 340px;
+    --content-max-width: 90em;
+}
+```
+
+---
+
+<div class="section-header">
+    <span class="section-icon">📚</span>
+    <h2 class="section-title">Resources</h2>
+</div>
+
+### Download Assets
+
+- [Dank Mono Font Files](/docs/md_v2/assets/) (Regular, Bold, Italic)
+- [Brand CSS Template](/docs/md_v2/branding/assets/brand-examples.css)
+- [Component Library](/docs/md_v2/apps/)
+
+### Reference Files
+
+- Main Documentation Styles: `docs/md_v2/assets/styles.css`
+- Layout System: `docs/md_v2/assets/layout.css`
+- Landing Page Style: `docs/md_v2/apps/crawl4ai-assistant/assistant.css`
+- App Home Style: `docs/md_v2/apps/index.md`
+- Extension Style: `docs/md_v2/apps/crawl4ai-assistant/popup/popup.css`
+
+### Questions?
+
+If you're unsure about which style to use or need help implementing these guidelines:
+
+- Check existing examples in the relevant section
+- Review the "When to Use Each Style" guidelines above
+- Ask in our [Discord community](https://discord.gg/crawl4ai)
+- Open an issue on [GitHub](https://github.com/unclecode/crawl4ai)
+
+---
+
+<div style="background: #1a1a1a; border: 1px solid #50ffff; border-radius: 8px; padding: 2rem; margin: 3rem 0; text-align: center;">
+    <h3 style="margin: 0 0 1rem 0; color: #50ffff;">🎨 Keep It Terminal</h3>
+    <p style="margin: 0; color: #d5cec0; font-size: 1rem;">
+        When in doubt, ask yourself: "Does this feel like a terminal?" If yes, you're on brand.
+    </p>
+</div>
+
+<script>
+// Copy to clipboard functionality
+function copyToClipboard(text, element) {
+    navigator.clipboard.writeText(text).then(() => {
+        // Show copied indicator
+        const indicator = document.createElement('div');
+        indicator.className = 'copied-indicator';
+        indicator.textContent = `Copied: ${text}`;
+        document.body.appendChild(indicator);
+
+        setTimeout(() => {
+            indicator.remove();
+        }, 2000);
+    });
+}
+
+function copyCode(button) {
+    const codeBlock = button.closest('.code-showcase').querySelector('code');
+    const text = codeBlock.textContent;
+
+    navigator.clipboard.writeText(text).then(() => {
+        const originalText = button.textContent;
+        button.textContent = 'Copied!';
+        button.style.background = '#50ff50';
+        button.style.color = '#070708';
+
+        setTimeout(() => {
+            button.textContent = originalText;
+            button.style.background = 'transparent';
+            button.style.color = '#a3abba';
+        }, 2000);
+    });
+}
+
+// Add click-to-copy to all color values
+document.addEventListener('DOMContentLoaded', () => {
+    document.querySelectorAll('.color-value').forEach(el => {
+        el.style.cursor = 'pointer';
+        el.addEventListener('click', (e) => {
+            e.stopPropagation();
+            copyToClipboard(el.textContent, el);
+        });
+    });
+});
+</script>
diff --git a/docs/md_v2/complete-sdk-reference.md b/docs/md_v2/complete-sdk-reference.md
new file mode 100644
index 00000000..d4a5ba65
--- /dev/null
+++ b/docs/md_v2/complete-sdk-reference.md
@@ -0,0 +1,5196 @@
+# Crawl4AI Complete SDK Documentation
+
+**Generated:** 2025-10-19 12:56
+**Format:** Ultra-Dense Reference (Optimized for AI Assistants)
+**Crawl4AI Version:** 0.7.4
+
+---
+
+## Navigation
+
+
+- [Installation & Setup](#installation--setup)
+- [Quick Start](#quick-start)
+- [Core API](#core-api)
+- [Configuration](#configuration)
+- [Crawling Patterns](#crawling-patterns)
+- [Content Processing](#content-processing)
+- [Extraction Strategies](#extraction-strategies)
+- [Advanced Features](#advanced-features)
+
+---
+
+
+# Installation & Setup
+
+# Installation & Setup (2023 Edition)
+## 1. Basic Installation
+```bash
+pip install crawl4ai
+```
+## 2. Initial Setup & Diagnostics
+### 2.1 Run the Setup Command
+```bash
+crawl4ai-setup
+```
+- Performs OS-level checks (e.g., missing libs on Linux)
+- Confirms your environment is ready to crawl
+### 2.2 Diagnostics
+```bash
+crawl4ai-doctor
+```
+- Check Python version compatibility
+- Verify Playwright installation
+- Inspect environment variables or library conflicts
+If any issues arise, follow its suggestions (e.g., installing additional system packages) and re-run `crawl4ai-setup`.
+## 3. Verifying Installation: A Simple Crawl (Skip this step if you already run `crawl4ai-doctor`)
+Below is a minimal Python script demonstrating a **basic** crawl. It uses our new **`BrowserConfig`** and **`CrawlerRunConfig`** for clarity, though no custom settings are passed in this example:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
+
+async def main():
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://www.example.com",
+        )
+        print(result.markdown[:300])  # Show the first 300 characters of extracted text
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- A headless browser session loads `example.com`
+- Crawl4AI returns ~300 characters of markdown.  
+If errors occur, rerun `crawl4ai-doctor` or manually ensure Playwright is installed correctly.
+## 4. Advanced Installation (Optional)
+### 4.1 Torch, Transformers, or All
+- **Text Clustering (Torch)**  
+  ```bash
+  pip install crawl4ai[torch]
+  crawl4ai-setup
+  ```
+- **Transformers**  
+  ```bash
+  pip install crawl4ai[transformer]
+  crawl4ai-setup
+  ```
+- **All Features**  
+  ```bash
+  pip install crawl4ai[all]
+  crawl4ai-setup
+  ```
+```bash
+crawl4ai-download-models
+```
+## 5. Docker (Experimental)
+```bash
+docker pull unclecode/crawl4ai:basic
+docker run -p 11235:11235 unclecode/crawl4ai:basic
+```
+You can then make POST requests to `http://localhost:11235/crawl` to perform crawls. **Production usage** is discouraged until our new Docker approach is ready (planned in Jan or Feb 2025).
+## 6. Local Server Mode (Legacy)
+## Summary
+1. **Install** with `pip install crawl4ai` and run `crawl4ai-setup`.
+2. **Diagnose** with `crawl4ai-doctor` if you see errors.
+3. **Verify** by crawling `example.com` with minimal `BrowserConfig` + `CrawlerRunConfig`.
+
+
+
+# Quick Start
+
+# Getting Started with Crawl4AI
+1. Run your **first crawl** using minimal configuration.  
+3. Experiment with a simple **CSS-based extraction** strategy.  
+5. Crawl a **dynamic** page that loads content via JavaScript.
+## 1. Introduction
+- An asynchronous crawler, **`AsyncWebCrawler`**.  
+- Configurable browser and run settings via **`BrowserConfig`** and **`CrawlerRunConfig`**.  
+- Automatic HTML-to-Markdown conversion via **`DefaultMarkdownGenerator`** (supports optional filters).  
+- Multiple extraction strategies (LLM-based or “traditional” CSS/XPath-based).
+## 2. Your First Crawl
+Here’s a minimal Python script that creates an **`AsyncWebCrawler`**, fetches a webpage, and prints the first 300 characters of its Markdown output:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler
+
+async def main():
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com")
+        print(result.markdown[:300])  # Print first 300 chars
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`AsyncWebCrawler`** launches a headless browser (Chromium by default).
+- It fetches `https://example.com`.
+- Crawl4AI automatically converts the HTML into Markdown.
+## 3. Basic Configuration (Light Introduction)
+1. **`BrowserConfig`**: Controls browser behavior (headless or full UI, user agent, JavaScript toggles, etc.).  
+2. **`CrawlerRunConfig`**: Controls how each crawl runs (caching, extraction, timeouts, hooking, etc.).
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+
+async def main():
+    browser_conf = BrowserConfig(headless=True)  # or False to see the browser
+    run_conf = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS
+    )
+
+    async with AsyncWebCrawler(config=browser_conf) as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            config=run_conf
+        )
+        print(result.markdown)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+> IMPORTANT: By default cache mode is set to `CacheMode.BYPASS` to have fresh content. Set `CacheMode.ENABLED` to enable caching.
+## 4. Generating Markdown Output
+- **`result.markdown`**:  
+- **`result.markdown.fit_markdown`**:  
+  The same content after applying any configured **content filter** (e.g., `PruningContentFilter`).
+### Example: Using a Filter with `DefaultMarkdownGenerator`
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.content_filter_strategy import PruningContentFilter
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+
+md_generator = DefaultMarkdownGenerator(
+    content_filter=PruningContentFilter(threshold=0.4, threshold_type="fixed")
+)
+
+config = CrawlerRunConfig(
+    cache_mode=CacheMode.BYPASS,
+    markdown_generator=md_generator
+)
+
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun("https://news.ycombinator.com", config=config)
+    print("Raw Markdown length:", len(result.markdown.raw_markdown))
+    print("Fit Markdown length:", len(result.markdown.fit_markdown))
+```
+**Note**: If you do **not** specify a content filter or markdown generator, you’ll typically see only the raw Markdown. `PruningContentFilter` may adds around `50ms` in processing time. We’ll dive deeper into these strategies in a dedicated **Markdown Generation** tutorial.
+## 5. Simple Data Extraction (CSS-based)
+```python
+from crawl4ai import JsonCssExtractionStrategy
+from crawl4ai import LLMConfig
+
+# Generate a schema (one-time cost)
+html = "<div class='product'><h2>Gaming Laptop</h2><span class='price'>$999.99</span></div>"
+
+# Using OpenAI (requires API token)
+schema = JsonCssExtractionStrategy.generate_schema(
+    html,
+    llm_config = LLMConfig(provider="openai/gpt-4o",api_token="your-openai-token")  # Required for OpenAI
+)
+
+# Or using Ollama (open source, no token needed)
+schema = JsonCssExtractionStrategy.generate_schema(
+    html,
+    llm_config = LLMConfig(provider="ollama/llama3.3", api_token=None)  # Not needed for Ollama
+)
+
+# Use the schema for fast, repeated extractions
+strategy = JsonCssExtractionStrategy(schema)
+```
+```python
+import asyncio
+import json
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def main():
+    schema = {
+        "name": "Example Items",
+        "baseSelector": "div.item",
+        "fields": [
+            {"name": "title", "selector": "h2", "type": "text"},
+            {"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
+        ]
+    }
+
+    raw_html = "<div class='item'><h2>Item 1</h2><a href='https://example.com/item1'>Link 1</a></div>"
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="raw://" + raw_html,
+            config=CrawlerRunConfig(
+                cache_mode=CacheMode.BYPASS,
+                extraction_strategy=JsonCssExtractionStrategy(schema)
+            )
+        )
+        # The JSON output is stored in 'extracted_content'
+        data = json.loads(result.extracted_content)
+        print(data)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- Great for repetitive page structures (e.g., item listings, articles).
+- No AI usage or costs.
+- The crawler returns a JSON string you can parse or store.
+> Tips: You can pass raw HTML to the crawler instead of a URL. To do so, prefix the HTML with `raw://`.
+## 6. Simple Data Extraction (LLM-based)
+- **Open-Source Models** (e.g., `ollama/llama3.3`, `no_token`)  
+- **OpenAI Models** (e.g., `openai/gpt-4`, requires `api_token`)  
+- Or any provider supported by the underlying library
+```python
+import os
+import json
+import asyncio
+from pydantic import BaseModel, Field
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, LLMConfig
+from crawl4ai import LLMExtractionStrategy
+
+class OpenAIModelFee(BaseModel):
+    model_name: str = Field(..., description="Name of the OpenAI model.")
+    input_fee: str = Field(..., description="Fee for input token for the OpenAI model.")
+    output_fee: str = Field(
+        ..., description="Fee for output token for the OpenAI model."
+    )
+
+async def extract_structured_data_using_llm(
+    provider: str, api_token: str = None, extra_headers: Dict[str, str] = None
+):
+    print(f"\n--- Extracting Structured Data with {provider} ---")
+
+    if api_token is None and provider != "ollama":
+        print(f"API token is required for {provider}. Skipping this example.")
+        return
+
+    browser_config = BrowserConfig(headless=True)
+
+    extra_args = {"temperature": 0, "top_p": 0.9, "max_tokens": 2000}
+    if extra_headers:
+        extra_args["extra_headers"] = extra_headers
+
+    crawler_config = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        word_count_threshold=1,
+        page_timeout=80000,
+        extraction_strategy=LLMExtractionStrategy(
+            llm_config = LLMConfig(provider=provider,api_token=api_token),
+            schema=OpenAIModelFee.model_json_schema(),
+            extraction_type="schema",
+            instruction="""From the crawled content, extract all mentioned model names along with their fees for input and output tokens. 
+            Do not miss any models in the entire content.""",
+            extra_args=extra_args,
+        ),
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(
+            url="https://openai.com/api/pricing/", config=crawler_config
+        )
+        print(result.extracted_content)
+
+if __name__ == "__main__":
+
+    asyncio.run(
+        extract_structured_data_using_llm(
+            provider="openai/gpt-4o", api_token=os.getenv("OPENAI_API_KEY")
+        )
+    )
+```
+- We define a Pydantic schema (`PricingInfo`) describing the fields we want.
+## 7. Adaptive Crawling (New!)
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, AdaptiveCrawler
+
+async def adaptive_example():
+    async with AsyncWebCrawler() as crawler:
+        adaptive = AdaptiveCrawler(crawler)
+
+        # Start adaptive crawling
+        result = await adaptive.digest(
+            start_url="https://docs.python.org/3/",
+            query="async context managers"
+        )
+
+        # View results
+        adaptive.print_stats()
+        print(f"Crawled {len(result.crawled_urls)} pages")
+        print(f"Achieved {adaptive.confidence:.0%} confidence")
+
+if __name__ == "__main__":
+    asyncio.run(adaptive_example())
+```
+- **Automatic stopping**: Stops when sufficient information is gathered
+- **Intelligent link selection**: Follows only relevant links
+- **Confidence scoring**: Know how complete your information is
+## 8. Multi-URL Concurrency (Preview)
+If you need to crawl multiple URLs in **parallel**, you can use `arun_many()`. By default, Crawl4AI employs a **MemoryAdaptiveDispatcher**, automatically adjusting concurrency based on system resources. Here’s a quick glimpse:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+
+async def quick_parallel_example():
+    urls = [
+        "https://example.com/page1",
+        "https://example.com/page2",
+        "https://example.com/page3"
+    ]
+
+    run_conf = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        stream=True  # Enable streaming mode
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        # Stream results as they complete
+        async for result in await crawler.arun_many(urls, config=run_conf):
+            if result.success:
+                print(f"[OK] {result.url}, length: {len(result.markdown.raw_markdown)}")
+            else:
+                print(f"[ERROR] {result.url} => {result.error_message}")
+
+        # Or get all results at once (default behavior)
+        run_conf = run_conf.clone(stream=False)
+        results = await crawler.arun_many(urls, config=run_conf)
+        for res in results:
+            if res.success:
+                print(f"[OK] {res.url}, length: {len(res.markdown.raw_markdown)}")
+            else:
+                print(f"[ERROR] {res.url} => {res.error_message}")
+
+if __name__ == "__main__":
+    asyncio.run(quick_parallel_example())
+```
+1. **Streaming mode** (`stream=True`): Process results as they become available using `async for`
+2. **Batch mode** (`stream=False`): Wait for all results to complete
+## 8. Dynamic Content Example
+Some sites require multiple “page clicks” or dynamic JavaScript updates. Below is an example showing how to **click** a “Next Page” button and wait for new commits to load on GitHub, using **`BrowserConfig`** and **`CrawlerRunConfig`**:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def extract_structured_data_using_css_extractor():
+    print("\n--- Using JsonCssExtractionStrategy for Fast Structured Output ---")
+    schema = {
+        "name": "KidoCode Courses",
+        "baseSelector": "section.charge-methodology .w-tab-content > div",
+        "fields": [
+            {
+                "name": "section_title",
+                "selector": "h3.heading-50",
+                "type": "text",
+            },
+            {
+                "name": "section_description",
+                "selector": ".charge-content",
+                "type": "text",
+            },
+            {
+                "name": "course_name",
+                "selector": ".text-block-93",
+                "type": "text",
+            },
+            {
+                "name": "course_description",
+                "selector": ".course-content-text",
+                "type": "text",
+            },
+            {
+                "name": "course_icon",
+                "selector": ".image-92",
+                "type": "attribute",
+                "attribute": "src",
+            },
+        ],
+    }
+
+    browser_config = BrowserConfig(headless=True, java_script_enabled=True)
+
+    js_click_tabs = """
+    (async () => {
+        const tabs = document.querySelectorAll("section.charge-methodology .tabs-menu-3 > div");
+        for(let tab of tabs) {
+            tab.scrollIntoView();
+            tab.click();
+            await new Promise(r => setTimeout(r, 500));
+        }
+    })();
+    """
+
+    crawler_config = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        extraction_strategy=JsonCssExtractionStrategy(schema),
+        js_code=[js_click_tabs],
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(
+            url="https://www.kidocode.com/degrees/technology", config=crawler_config
+        )
+
+        companies = json.loads(result.extracted_content)
+        print(f"Successfully extracted {len(companies)} companies")
+        print(json.dumps(companies[0], indent=2))
+
+async def main():
+    await extract_structured_data_using_css_extractor()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`BrowserConfig(headless=False)`**: We want to watch it click “Next Page.”  
+- **`CrawlerRunConfig(...)`**: We specify the extraction strategy, pass `session_id` to reuse the same page.  
+- **`js_code`** and **`wait_for`** are used for subsequent pages (`page > 0`) to click the “Next” button and wait for new commits to load.  
+- **`js_only=True`** indicates we’re not re-navigating but continuing the existing session.  
+- Finally, we call `kill_session()` to clean up the page and browser session.
+## 9. Next Steps
+1. Performed a basic crawl and printed Markdown.  
+2. Used **content filters** with a markdown generator.  
+3. Extracted JSON via **CSS** or **LLM** strategies.  
+4. Handled **dynamic** pages with JavaScript triggers.
+
+
+
+# Core API
+
+# AsyncWebCrawler
+The **`AsyncWebCrawler`** is the core class for asynchronous web crawling in Crawl4AI. You typically create it **once**, optionally customize it with a **`BrowserConfig`** (e.g., headless, user agent), then **run** multiple **`arun()`** calls with different **`CrawlerRunConfig`** objects.
+1. **Create** a `BrowserConfig` for global browser settings.  
+2. **Instantiate** `AsyncWebCrawler(config=browser_config)`.  
+3. **Use** the crawler in an async context manager (`async with`) or manage start/close manually.  
+4. **Call** `arun(url, config=crawler_run_config)` for each page you want.
+## 1. Constructor Overview
+```python
+class AsyncWebCrawler:
+    def __init__(
+        self,
+        crawler_strategy: Optional[AsyncCrawlerStrategy] = None,
+        config: Optional[BrowserConfig] = None,
+        always_bypass_cache: bool = False,           # deprecated
+        always_by_pass_cache: Optional[bool] = None, # also deprecated
+        base_directory: str = ...,
+        thread_safe: bool = False,
+        **kwargs,
+    ):
+        """
+        Create an AsyncWebCrawler instance.
+
+        Args:
+            crawler_strategy: 
+                (Advanced) Provide a custom crawler strategy if needed.
+            config: 
+                A BrowserConfig object specifying how the browser is set up.
+            always_bypass_cache: 
+                (Deprecated) Use CrawlerRunConfig.cache_mode instead.
+            base_directory:     
+                Folder for storing caches/logs (if relevant).
+            thread_safe: 
+                If True, attempts some concurrency safeguards. Usually False.
+            **kwargs: 
+                Additional legacy or debugging parameters.
+        """
+    )
+
+### Typical Initialization
+
+```python
+from crawl4ai import AsyncWebCrawler, BrowserConfig
+browser_cfg = BrowserConfig(
+    browser_type="chromium",
+    headless=True,
+    verbose=True
+crawler = AsyncWebCrawler(config=browser_cfg)
+```
+
+**Notes**:
+
+- **Legacy** parameters like `always_bypass_cache` remain for backward compatibility, but prefer to set **caching** in `CrawlerRunConfig`.
+
+---
+
+## 2. Lifecycle: Start/Close or Context Manager
+
+### 2.1 Context Manager (Recommended)
+
+```python
+async with AsyncWebCrawler(config=browser_cfg) as crawler:
+    result = await crawler.arun("https://example.com")
+    # The crawler automatically starts/closes resources
+```
+
+When the `async with` block ends, the crawler cleans up (closes the browser, etc.).
+
+### 2.2 Manual Start & Close
+
+```python
+crawler = AsyncWebCrawler(config=browser_cfg)
+await crawler.start()
+result1 = await crawler.arun("https://example.com")
+result2 = await crawler.arun("https://another.com")
+await crawler.close()
+```
+
+Use this style if you have a **long-running** application or need full control of the crawler’s lifecycle.
+
+---
+
+## 3. Primary Method: `arun()`
+
+```python
+async def arun(
+    url: str,
+    config: Optional[CrawlerRunConfig] = None,
+    # Legacy parameters for backward compatibility...
+```
+
+### 3.1 New Approach
+
+You pass a `CrawlerRunConfig` object that sets up everything about a crawl—content filtering, caching, session reuse, JS code, screenshots, etc.
+
+```python
+import asyncio
+from crawl4ai import CrawlerRunConfig, CacheMode
+run_cfg = CrawlerRunConfig(
+    cache_mode=CacheMode.BYPASS,
+    css_selector="main.article",
+    word_count_threshold=10,
+    screenshot=True
+async with AsyncWebCrawler(config=browser_cfg) as crawler:
+    result = await crawler.arun("https://example.com/news", config=run_cfg)
+```
+
+### 3.2 Legacy Parameters Still Accepted
+
+For **backward** compatibility, `arun()` can still accept direct arguments like `css_selector=...`, `word_count_threshold=...`, etc., but we strongly advise migrating them into a **`CrawlerRunConfig`**.
+
+---
+
+## 4. Batch Processing: `arun_many()`
+
+```python
+async def arun_many(
+    urls: List[str],
+    config: Optional[CrawlerRunConfig] = None,
+    # Legacy parameters maintained for backwards compatibility...
+```
+
+### 4.1 Resource-Aware Crawling
+
+The `arun_many()` method now uses an intelligent dispatcher that:
+
+- Monitors system memory usage
+- Implements adaptive rate limiting
+- Provides detailed progress monitoring
+- Manages concurrent crawls efficiently
+
+### 4.2 Example Usage
+
+Check page [Multi-url Crawling](../advanced/multi-url-crawling.md) for a detailed example of how to use `arun_many()`.
+
+```python
+### 4.3 Key Features
+1. **Rate Limiting**
+   - Automatic delay between requests
+   - Exponential backoff on rate limit detection
+   - Domain-specific rate limiting
+   - Configurable retry strategy
+2. **Resource Monitoring**
+   - Memory usage tracking
+   - Adaptive concurrency based on system load
+   - Automatic pausing when resources are constrained
+3. **Progress Monitoring**
+   - Detailed or aggregated progress display
+   - Real-time status updates
+   - Memory usage statistics
+4. **Error Handling**
+   - Graceful handling of rate limits
+   - Automatic retries with backoff
+   - Detailed error reporting
+## 5. `CrawlResult` Output
+Each `arun()` returns a **`CrawlResult`** containing:
+- `url`: Final URL (if redirected).
+- `html`: Original HTML.
+- `cleaned_html`: Sanitized HTML.
+- `markdown_v2`: Deprecated. Instead just use regular `markdown`
+- `extracted_content`: If an extraction strategy was used (JSON for CSS/LLM strategies).
+- `screenshot`, `pdf`: If screenshots/PDF requested.
+- `media`, `links`: Information about discovered images/links.
+- `success`, `error_message`: Status info.
+## 6. Quick Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+import json
+
+async def main():
+    # 1. Browser config
+    browser_cfg = BrowserConfig(
+        browser_type="firefox",
+        headless=False,
+        verbose=True
+    )
+
+    # 2. Run config
+    schema = {
+        "name": "Articles",
+        "baseSelector": "article.post",
+        "fields": [
+            {
+                "name": "title", 
+                "selector": "h2", 
+                "type": "text"
+            },
+            {
+                "name": "url", 
+                "selector": "a", 
+                "type": "attribute", 
+                "attribute": "href"
+            }
+        ]
+    }
+
+    run_cfg = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        extraction_strategy=JsonCssExtractionStrategy(schema),
+        word_count_threshold=15,
+        remove_overlay_elements=True,
+        wait_for="css:.post"  # Wait for posts to appear
+    )
+
+    async with AsyncWebCrawler(config=browser_cfg) as crawler:
+        result = await crawler.arun(
+            url="https://example.com/blog",
+            config=run_cfg
+        )
+
+        if result.success:
+            print("Cleaned HTML length:", len(result.cleaned_html))
+            if result.extracted_content:
+                articles = json.loads(result.extracted_content)
+                print("Extracted articles:", articles[:2])
+        else:
+            print("Error:", result.error_message)
+
+asyncio.run(main())
+```
+- We define a **`BrowserConfig`** with Firefox, no headless, and `verbose=True`.  
+- We define a **`CrawlerRunConfig`** that **bypasses cache**, uses a **CSS** extraction schema, has a `word_count_threshold=15`, etc.  
+- We pass them to `AsyncWebCrawler(config=...)` and `arun(url=..., config=...)`.
+## 7. Best Practices & Migration Notes
+1. **Use** `BrowserConfig` for **global** settings about the browser’s environment.  
+2. **Use** `CrawlerRunConfig` for **per-crawl** logic (caching, content filtering, extraction strategies, wait conditions).  
+3. **Avoid** legacy parameters like `css_selector` or `word_count_threshold` directly in `arun()`. Instead:
+   ```python
+   run_cfg = CrawlerRunConfig(css_selector=".main-content", word_count_threshold=20)
+   result = await crawler.arun(url="...", config=run_cfg)
+   ```
+## 8. Summary
+- **Constructor** accepts **`BrowserConfig`** (or defaults).  
+- **`arun(url, config=CrawlerRunConfig)`** is the main method for single-page crawls.  
+- **`arun_many(urls, config=CrawlerRunConfig)`** handles concurrency across multiple URLs.  
+- For advanced lifecycle control, use `start()` and `close()` explicitly.  
+- If you used `AsyncWebCrawler(browser_type="chromium", css_selector="...")`, move browser settings to `BrowserConfig(...)` and content/crawl logic to `CrawlerRunConfig(...)`.
+
+
+# `arun()` Parameter Guide (New Approach)
+In Crawl4AI’s **latest** configuration model, nearly all parameters that once went directly to `arun()` are now part of **`CrawlerRunConfig`**. When calling `arun()`, you provide:
+```python
+await crawler.arun(
+    url="https://example.com",  
+    config=my_run_config
+)
+```
+Below is an organized look at the parameters that can go inside `CrawlerRunConfig`, divided by their functional areas. For **Browser** settings (e.g., `headless`, `browser_type`), see [BrowserConfig](./parameters.md).
+## 1. Core Usage
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+
+async def main():
+    run_config = CrawlerRunConfig(
+        verbose=True,            # Detailed logging
+        cache_mode=CacheMode.ENABLED,  # Use normal read/write cache
+        check_robots_txt=True,   # Respect robots.txt rules
+        # ... other parameters
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            config=run_config
+        )
+
+        # Check if blocked by robots.txt
+        if not result.success and result.status_code == 403:
+            print(f"Error: {result.error_message}")
+```
+- `verbose=True` logs each crawl step.  
+- `cache_mode` decides how to read/write the local crawl cache.
+## 2. Cache Control
+**`cache_mode`** (default: `CacheMode.ENABLED`)  
+Use a built-in enum from `CacheMode`:
+- `ENABLED`: Normal caching—reads if available, writes if missing.
+- `DISABLED`: No caching—always refetch pages.
+- `READ_ONLY`: Reads from cache only; no new writes.
+- `WRITE_ONLY`: Writes to cache but doesn’t read existing data.
+- `BYPASS`: Skips reading cache for this crawl (though it might still write if set up that way).
+```python
+run_config = CrawlerRunConfig(
+    cache_mode=CacheMode.BYPASS
+)
+```
+- `bypass_cache=True` acts like `CacheMode.BYPASS`.
+- `disable_cache=True` acts like `CacheMode.DISABLED`.
+- `no_cache_read=True` acts like `CacheMode.WRITE_ONLY`.
+- `no_cache_write=True` acts like `CacheMode.READ_ONLY`.
+## 3. Content Processing & Selection
+### 3.1 Text Processing
+```python
+run_config = CrawlerRunConfig(
+    word_count_threshold=10,   # Ignore text blocks <10 words
+    only_text=False,           # If True, tries to remove non-text elements
+    keep_data_attributes=False # Keep or discard data-* attributes
+)
+```
+### 3.2 Content Selection
+```python
+run_config = CrawlerRunConfig(
+    css_selector=".main-content",  # Focus on .main-content region only
+    excluded_tags=["form", "nav"], # Remove entire tag blocks
+    remove_forms=True,             # Specifically strip <form> elements
+    remove_overlay_elements=True,  # Attempt to remove modals/popups
+)
+```
+### 3.3 Link Handling
+```python
+run_config = CrawlerRunConfig(
+    exclude_external_links=True,         # Remove external links from final content
+    exclude_social_media_links=True,     # Remove links to known social sites
+    exclude_domains=["ads.example.com"], # Exclude links to these domains
+    exclude_social_media_domains=["facebook.com","twitter.com"], # Extend the default list
+)
+```
+### 3.4 Media Filtering
+```python
+run_config = CrawlerRunConfig(
+    exclude_external_images=True  # Strip images from other domains
+)
+```
+## 4. Page Navigation & Timing
+### 4.1 Basic Browser Flow
+```python
+run_config = CrawlerRunConfig(
+    wait_for="css:.dynamic-content", # Wait for .dynamic-content
+    delay_before_return_html=2.0,    # Wait 2s before capturing final HTML
+    page_timeout=60000,             # Navigation & script timeout (ms)
+)
+```
+- `wait_for`:  
+  - `"css:selector"` or  
+  - `"js:() => boolean"`  
+  e.g. `js:() => document.querySelectorAll('.item').length > 10`.
+- `mean_delay` & `max_range`: define random delays for `arun_many()` calls.  
+- `semaphore_count`: concurrency limit when crawling multiple URLs.
+### 4.2 JavaScript Execution
+```python
+run_config = CrawlerRunConfig(
+    js_code=[
+        "window.scrollTo(0, document.body.scrollHeight);",
+        "document.querySelector('.load-more')?.click();"
+    ],
+    js_only=False
+)
+```
+- `js_code` can be a single string or a list of strings.  
+- `js_only=True` means “I’m continuing in the same session with new JS steps, no new full navigation.”
+### 4.3 Anti-Bot
+```python
+run_config = CrawlerRunConfig(
+    magic=True,
+    simulate_user=True,
+    override_navigator=True
+)
+```
+- `magic=True` tries multiple stealth features.  
+- `simulate_user=True` mimics mouse movements or random delays.  
+- `override_navigator=True` fakes some navigator properties (like user agent checks).
+## 5. Session Management
+**`session_id`**: 
+```python
+run_config = CrawlerRunConfig(
+    session_id="my_session123"
+)
+```
+If re-used in subsequent `arun()` calls, the same tab/page context is continued (helpful for multi-step tasks or stateful browsing).
+## 6. Screenshot, PDF & Media Options
+```python
+run_config = CrawlerRunConfig(
+    screenshot=True,             # Grab a screenshot as base64
+    screenshot_wait_for=1.0,     # Wait 1s before capturing
+    pdf=True,                    # Also produce a PDF
+    image_description_min_word_threshold=5,  # If analyzing alt text
+    image_score_threshold=3,                # Filter out low-score images
+)
+```
+- `result.screenshot` → Base64 screenshot string.
+- `result.pdf` → Byte array with PDF data.
+## 7. Extraction Strategy
+**For advanced data extraction** (CSS/LLM-based), set `extraction_strategy`:
+```python
+run_config = CrawlerRunConfig(
+    extraction_strategy=my_css_or_llm_strategy
+)
+```
+The extracted data will appear in `result.extracted_content`.
+## 8. Comprehensive Example
+Below is a snippet combining many parameters:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def main():
+    # Example schema
+    schema = {
+        "name": "Articles",
+        "baseSelector": "article.post",
+        "fields": [
+            {"name": "title", "selector": "h2", "type": "text"},
+            {"name": "link",  "selector": "a",  "type": "attribute", "attribute": "href"}
+        ]
+    }
+
+    run_config = CrawlerRunConfig(
+        # Core
+        verbose=True,
+        cache_mode=CacheMode.ENABLED,
+        check_robots_txt=True,   # Respect robots.txt rules
+
+        # Content
+        word_count_threshold=10,
+        css_selector="main.content",
+        excluded_tags=["nav", "footer"],
+        exclude_external_links=True,
+
+        # Page & JS
+        js_code="document.querySelector('.show-more')?.click();",
+        wait_for="css:.loaded-block",
+        page_timeout=30000,
+
+        # Extraction
+        extraction_strategy=JsonCssExtractionStrategy(schema),
+
+        # Session
+        session_id="persistent_session",
+
+        # Media
+        screenshot=True,
+        pdf=True,
+
+        # Anti-bot
+        simulate_user=True,
+        magic=True,
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com/posts", config=run_config)
+        if result.success:
+            print("HTML length:", len(result.cleaned_html))
+            print("Extraction JSON:", result.extracted_content)
+            if result.screenshot:
+                print("Screenshot length:", len(result.screenshot))
+            if result.pdf:
+                print("PDF bytes length:", len(result.pdf))
+        else:
+            print("Error:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+1. **Crawling** the main content region, ignoring external links.  
+2. Running **JavaScript** to click “.show-more”.  
+3. **Waiting** for “.loaded-block” to appear.  
+4. Generating a **screenshot** & **PDF** of the final page.  
+## 9. Best Practices
+1. **Use `BrowserConfig` for global browser** settings (headless, user agent).  
+2. **Use `CrawlerRunConfig`** to handle the **specific** crawl needs: content filtering, caching, JS, screenshot, extraction, etc.  
+4. **Limit** large concurrency (`semaphore_count`) if the site or your system can’t handle it.  
+5. For dynamic pages, set `js_code` or `scan_full_page` so you load all content.
+## 10. Conclusion
+All parameters that used to be direct arguments to `arun()` now belong in **`CrawlerRunConfig`**. This approach:
+- Makes code **clearer** and **more maintainable**.  
+
+
+# `arun_many(...)` Reference
+> **Note**: This function is very similar to [`arun()`](./arun.md) but focused on **concurrent** or **batch** crawling. If you’re unfamiliar with `arun()` usage, please read that doc first, then review this for differences.
+## Function Signature
+```python
+async def arun_many(
+    urls: Union[List[str], List[Any]],
+    config: Optional[Union[CrawlerRunConfig, List[CrawlerRunConfig]]] = None,
+    dispatcher: Optional[BaseDispatcher] = None,
+    ...
+) -> Union[List[CrawlResult], AsyncGenerator[CrawlResult, None]]:
+    """
+    Crawl multiple URLs concurrently or in batches.
+
+    :param urls: A list of URLs (or tasks) to crawl.
+    :param config: (Optional) Either:
+        - A single `CrawlerRunConfig` applying to all URLs
+        - A list of `CrawlerRunConfig` objects with url_matcher patterns
+    :param dispatcher: (Optional) A concurrency controller (e.g. MemoryAdaptiveDispatcher).
+    ...
+    :return: Either a list of `CrawlResult` objects, or an async generator if streaming is enabled.
+    """
+```
+## Differences from `arun()`
+1. **Multiple URLs**:  
+   - Instead of crawling a single URL, you pass a list of them (strings or tasks).  
+   - The function returns either a **list** of `CrawlResult` or an **async generator** if streaming is enabled.
+2. **Concurrency & Dispatchers**:  
+   - **`dispatcher`** param allows advanced concurrency control.  
+   - If omitted, a default dispatcher (like `MemoryAdaptiveDispatcher`) is used internally.  
+3. **Streaming Support**:  
+   - Enable streaming by setting `stream=True` in your `CrawlerRunConfig`.
+   - When streaming, use `async for` to process results as they become available.
+4. **Parallel** Execution**:  
+   - `arun_many()` can run multiple requests concurrently under the hood.  
+   - Each `CrawlResult` might also include a **`dispatch_result`** with concurrency details (like memory usage, start/end times).
+### Basic Example (Batch Mode)
+```python
+# Minimal usage: The default dispatcher will be used
+results = await crawler.arun_many(
+    urls=["https://site1.com", "https://site2.com"],
+    config=CrawlerRunConfig(stream=False)  # Default behavior
+)
+
+for res in results:
+    if res.success:
+        print(res.url, "crawled OK!")
+    else:
+        print("Failed:", res.url, "-", res.error_message)
+```
+### Streaming Example
+```python
+config = CrawlerRunConfig(
+    stream=True,  # Enable streaming mode
+    cache_mode=CacheMode.BYPASS
+)
+
+# Process results as they complete
+async for result in await crawler.arun_many(
+    urls=["https://site1.com", "https://site2.com", "https://site3.com"],
+    config=config
+):
+    if result.success:
+        print(f"Just completed: {result.url}")
+        # Process each result immediately
+        process_result(result)
+```
+### With a Custom Dispatcher
+```python
+dispatcher = MemoryAdaptiveDispatcher(
+    memory_threshold_percent=70.0,
+    max_session_permit=10
+)
+results = await crawler.arun_many(
+    urls=["https://site1.com", "https://site2.com", "https://site3.com"],
+    config=my_run_config,
+    dispatcher=dispatcher
+)
+```
+### URL-Specific Configurations
+Instead of using one config for all URLs, provide a list of configs with `url_matcher` patterns:
+```python
+from crawl4ai import CrawlerRunConfig, MatchMode
+from crawl4ai.processors.pdf import PDFContentScrapingStrategy
+from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
+from crawl4ai.content_filter_strategy import PruningContentFilter
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+
+# PDF files - specialized extraction
+pdf_config = CrawlerRunConfig(
+    url_matcher="*.pdf",
+    scraping_strategy=PDFContentScrapingStrategy()
+)
+
+# Blog/article pages - content filtering
+blog_config = CrawlerRunConfig(
+    url_matcher=["*/blog/*", "*/article/*", "*python.org*"],
+    markdown_generator=DefaultMarkdownGenerator(
+        content_filter=PruningContentFilter(threshold=0.48)
+    )
+)
+
+# Dynamic pages - JavaScript execution
+github_config = CrawlerRunConfig(
+    url_matcher=lambda url: 'github.com' in url,
+    js_code="window.scrollTo(0, 500);"
+)
+
+# API endpoints - JSON extraction
+api_config = CrawlerRunConfig(
+    url_matcher=lambda url: 'api' in url or url.endswith('.json'),
+    # Custome settings for JSON extraction
+)
+
+# Default fallback config
+default_config = CrawlerRunConfig()  # No url_matcher means it never matches except as fallback
+
+# Pass the list of configs - first match wins!
+results = await crawler.arun_many(
+    urls=[
+        "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf",  # → pdf_config
+        "https://blog.python.org/",  # → blog_config
+        "https://github.com/microsoft/playwright",  # → github_config
+        "https://httpbin.org/json",  # → api_config
+        "https://example.com/"  # → default_config
+    ],
+    config=[pdf_config, blog_config, github_config, api_config, default_config]
+)
+```
+- **String patterns**: `"*.pdf"`, `"*/blog/*"`, `"*python.org*"`
+- **Function matchers**: `lambda url: 'api' in url`
+- **Mixed patterns**: Combine strings and functions with `MatchMode.OR` or `MatchMode.AND`
+- **First match wins**: Configs are evaluated in order
+- `dispatch_result` in each `CrawlResult` (if using concurrency) can hold memory and timing info.  
+- **Important**: Always include a default config (without `url_matcher`) as the last item if you want to handle all URLs. Otherwise, unmatched URLs will fail.
+### Return Value
+Either a **list** of [`CrawlResult`](./crawl-result.md) objects, or an **async generator** if streaming is enabled. You can iterate to check `result.success` or read each item’s `extracted_content`, `markdown`, or `dispatch_result`.
+## Dispatcher Reference
+- **`MemoryAdaptiveDispatcher`**: Dynamically manages concurrency based on system memory usage.  
+- **`SemaphoreDispatcher`**: Fixed concurrency limit, simpler but less adaptive.  
+## Common Pitfalls
+3. **Error Handling**: Each `CrawlResult` might fail for different reasons—always check `result.success` or the `error_message` before proceeding.
+## Conclusion
+Use `arun_many()` when you want to **crawl multiple URLs** simultaneously or in controlled parallel tasks. If you need advanced concurrency features (like memory-based adaptive throttling or complex rate-limiting), provide a **dispatcher**. Each result is a standard `CrawlResult`, possibly augmented with concurrency stats (`dispatch_result`) for deeper inspection. For more details on concurrency logic and dispatchers, see the [Advanced Multi-URL Crawling](../advanced/multi-url-crawling.md) docs.
+
+
+# `CrawlResult` Reference
+The **`CrawlResult`** class encapsulates everything returned after a single crawl operation. It provides the **raw or processed content**, details on links and media, plus optional metadata (like screenshots, PDFs, or extracted JSON).
+**Location**: `crawl4ai/crawler/models.py` (for reference)
+```python
+class CrawlResult(BaseModel):
+    url: str
+    html: str
+    success: bool
+    cleaned_html: Optional[str] = None
+    fit_html: Optional[str] = None  # Preprocessed HTML optimized for extraction
+    media: Dict[str, List[Dict]] = {}
+    links: Dict[str, List[Dict]] = {}
+    downloaded_files: Optional[List[str]] = None
+    screenshot: Optional[str] = None
+    pdf : Optional[bytes] = None
+    mhtml: Optional[str] = None
+    markdown: Optional[Union[str, MarkdownGenerationResult]] = None
+    extracted_content: Optional[str] = None
+    metadata: Optional[dict] = None
+    error_message: Optional[str] = None
+    session_id: Optional[str] = None
+    response_headers: Optional[dict] = None
+    status_code: Optional[int] = None
+    ssl_certificate: Optional[SSLCertificate] = None
+    dispatch_result: Optional[DispatchResult] = None
+    ...
+```
+## 1. Basic Crawl Info
+### 1.1 **`url`** *(str)*  
+```python
+print(result.url)  # e.g., "https://example.com/"
+```
+### 1.2 **`success`** *(bool)*  
+**What**: `True` if the crawl pipeline ended without major errors; `False` otherwise.  
+```python
+if not result.success:
+    print(f"Crawl failed: {result.error_message}")
+```
+### 1.3 **`status_code`** *(Optional[int])*  
+```python
+if result.status_code == 404:
+    print("Page not found!")
+```
+### 1.4 **`error_message`** *(Optional[str])*  
+**What**: If `success=False`, a textual description of the failure.  
+```python
+if not result.success:
+    print("Error:", result.error_message)
+```
+### 1.5 **`session_id`** *(Optional[str])*  
+```python
+# If you used session_id="login_session" in CrawlerRunConfig, see it here:
+print("Session:", result.session_id)
+```
+### 1.6 **`response_headers`** *(Optional[dict])*  
+```python
+if result.response_headers:
+    print("Server:", result.response_headers.get("Server", "Unknown"))
+```
+### 1.7 **`ssl_certificate`** *(Optional[SSLCertificate])*  
+**What**: If `fetch_ssl_certificate=True` in your CrawlerRunConfig, **`result.ssl_certificate`** contains a  [**`SSLCertificate`**](../advanced/ssl-certificate.md) object describing the site's certificate. You can export the cert in multiple formats (PEM/DER/JSON) or access its properties like `issuer`, 
+ `subject`, `valid_from`, `valid_until`, etc. 
+```python
+if result.ssl_certificate:
+    print("Issuer:", result.ssl_certificate.issuer)
+```
+## 2. Raw / Cleaned Content
+### 2.1 **`html`** *(str)*  
+```python
+# Possibly large
+print(len(result.html))
+```
+### 2.2 **`cleaned_html`** *(Optional[str])*  
+**What**: A sanitized HTML version—scripts, styles, or excluded tags are removed based on your `CrawlerRunConfig`.  
+```python
+print(result.cleaned_html[:500])  # Show a snippet
+```
+## 3. Markdown Fields
+### 3.1 The Markdown Generation Approach
+- **Raw** markdown  
+- **Links as citations** (with a references section)  
+- **Fit** markdown if a **content filter** is used (like Pruning or BM25)
+**`MarkdownGenerationResult`** includes:
+- **`raw_markdown`** *(str)*: The full HTML→Markdown conversion.  
+- **`markdown_with_citations`** *(str)*: Same markdown, but with link references as academic-style citations.  
+- **`references_markdown`** *(str)*: The reference list or footnotes at the end.  
+- **`fit_markdown`** *(Optional[str])*: If content filtering (Pruning/BM25) was applied, the filtered "fit" text.  
+- **`fit_html`** *(Optional[str])*: The HTML that led to `fit_markdown`.
+```python
+if result.markdown:
+    md_res = result.markdown
+    print("Raw MD:", md_res.raw_markdown[:300])
+    print("Citations MD:", md_res.markdown_with_citations[:300])
+    print("References:", md_res.references_markdown)
+    if md_res.fit_markdown:
+        print("Pruned text:", md_res.fit_markdown[:300])
+```
+### 3.2 **`markdown`** *(Optional[Union[str, MarkdownGenerationResult]])*  
+**What**: Holds the `MarkdownGenerationResult`.  
+```python
+print(result.markdown.raw_markdown[:200])
+print(result.markdown.fit_markdown)
+print(result.markdown.fit_html)
+```
+**Important**: "Fit" content (in `fit_markdown`/`fit_html`) exists in result.markdown, only if you used a **filter** (like **PruningContentFilter** or **BM25ContentFilter**) within a `MarkdownGenerationStrategy`.
+## 4. Media & Links
+### 4.1 **`media`** *(Dict[str, List[Dict]])*  
+**What**: Contains info about discovered images, videos, or audio. Typically keys: `"images"`, `"videos"`, `"audios"`.  
+- `src` *(str)*: Media URL  
+- `alt` or `title` *(str)*: Descriptive text  
+- `score` *(float)*: Relevance score if the crawler's heuristic found it "important"  
+- `desc` or `description` *(Optional[str])*: Additional context extracted from surrounding text  
+```python
+images = result.media.get("images", [])
+for img in images:
+    if img.get("score", 0) > 5:
+        print("High-value image:", img["src"])
+```
+### 4.2 **`links`** *(Dict[str, List[Dict]])*  
+**What**: Holds internal and external link data. Usually two keys: `"internal"` and `"external"`.  
+- `href` *(str)*: The link target  
+- `text` *(str)*: Link text  
+- `title` *(str)*: Title attribute  
+- `context` *(str)*: Surrounding text snippet  
+- `domain` *(str)*: If external, the domain
+```python
+for link in result.links["internal"]:
+    print(f"Internal link to {link['href']} with text {link['text']}")
+```
+## 5. Additional Fields
+### 5.1 **`extracted_content`** *(Optional[str])*  
+**What**: If you used **`extraction_strategy`** (CSS, LLM, etc.), the structured output (JSON).  
+```python
+if result.extracted_content:
+    data = json.loads(result.extracted_content)
+    print(data)
+```
+### 5.2 **`downloaded_files`** *(Optional[List[str]])*  
+**What**: If `accept_downloads=True` in your `BrowserConfig` + `downloads_path`, lists local file paths for downloaded items.  
+```python
+if result.downloaded_files:
+    for file_path in result.downloaded_files:
+        print("Downloaded:", file_path)
+```
+### 5.3 **`screenshot`** *(Optional[str])*  
+**What**: Base64-encoded screenshot if `screenshot=True` in `CrawlerRunConfig`.  
+```python
+import base64
+if result.screenshot:
+    with open("page.png", "wb") as f:
+        f.write(base64.b64decode(result.screenshot))
+```
+### 5.4 **`pdf`** *(Optional[bytes])*  
+**What**: Raw PDF bytes if `pdf=True` in `CrawlerRunConfig`.  
+```python
+if result.pdf:
+    with open("page.pdf", "wb") as f:
+        f.write(result.pdf)
+```
+### 5.5 **`mhtml`** *(Optional[str])*  
+**What**: MHTML snapshot of the page if `capture_mhtml=True` in `CrawlerRunConfig`. MHTML (MIME HTML) format preserves the entire web page with all its resources (CSS, images, scripts, etc.) in a single file.  
+```python
+if result.mhtml:
+    with open("page.mhtml", "w", encoding="utf-8") as f:
+        f.write(result.mhtml)
+```
+### 5.6 **`metadata`** *(Optional[dict])*  
+```python
+if result.metadata:
+    print("Title:", result.metadata.get("title"))
+    print("Author:", result.metadata.get("author"))
+```
+## 6. `dispatch_result` (optional)
+A `DispatchResult` object providing additional concurrency and resource usage information when crawling URLs in parallel (e.g., via `arun_many()` with custom dispatchers). It contains:
+- **`task_id`**: A unique identifier for the parallel task.
+- **`memory_usage`** (float): The memory (in MB) used at the time of completion.
+- **`peak_memory`** (float): The peak memory usage (in MB) recorded during the task's execution.
+- **`start_time`** / **`end_time`** (datetime): Time range for this crawling task.
+- **`error_message`** (str): Any dispatcher- or concurrency-related error encountered.
+```python
+# Example usage:
+for result in results:
+    if result.success and result.dispatch_result:
+        dr = result.dispatch_result
+        print(f"URL: {result.url}, Task ID: {dr.task_id}")
+        print(f"Memory: {dr.memory_usage:.1f} MB (Peak: {dr.peak_memory:.1f} MB)")
+        print(f"Duration: {dr.end_time - dr.start_time}")
+```
+> **Note**: This field is typically populated when using `arun_many(...)` alongside a **dispatcher** (e.g., `MemoryAdaptiveDispatcher` or `SemaphoreDispatcher`). If no concurrency or dispatcher is used, `dispatch_result` may remain `None`. 
+## 7. Network Requests & Console Messages
+When you enable network and console message capturing in `CrawlerRunConfig` using `capture_network_requests=True` and `capture_console_messages=True`, the `CrawlResult` will include these fields:
+### 7.1 **`network_requests`** *(Optional[List[Dict[str, Any]]])*
+- Each item has an `event_type` field that can be `"request"`, `"response"`, or `"request_failed"`.
+- Request events include `url`, `method`, `headers`, `post_data`, `resource_type`, and `is_navigation_request`.
+- Response events include `url`, `status`, `status_text`, `headers`, and `request_timing`.
+- Failed request events include `url`, `method`, `resource_type`, and `failure_text`.
+- All events include a `timestamp` field.
+```python
+if result.network_requests:
+    # Count different types of events
+    requests = [r for r in result.network_requests if r.get("event_type") == "request"]
+    responses = [r for r in result.network_requests if r.get("event_type") == "response"]
+    failures = [r for r in result.network_requests if r.get("event_type") == "request_failed"]
+
+    print(f"Captured {len(requests)} requests, {len(responses)} responses, and {len(failures)} failures")
+
+    # Analyze API calls
+    api_calls = [r for r in requests if "api" in r.get("url", "")]
+
+    # Identify failed resources
+    for failure in failures:
+        print(f"Failed to load: {failure.get('url')} - {failure.get('failure_text')}")
+```
+### 7.2 **`console_messages`** *(Optional[List[Dict[str, Any]]])*
+- Each item has a `type` field indicating the message type (e.g., `"log"`, `"error"`, `"warning"`, etc.).
+- The `text` field contains the actual message text.
+- Some messages include `location` information (URL, line, column).
+- All messages include a `timestamp` field.
+```python
+if result.console_messages:
+    # Count messages by type
+    message_types = {}
+    for msg in result.console_messages:
+        msg_type = msg.get("type", "unknown")
+        message_types[msg_type] = message_types.get(msg_type, 0) + 1
+
+    print(f"Message type counts: {message_types}")
+
+    # Display errors (which are usually most important)
+    for msg in result.console_messages:
+        if msg.get("type") == "error":
+            print(f"Error: {msg.get('text')}")
+```
+## 8. Example: Accessing Everything
+```python
+async def handle_result(result: CrawlResult):
+    if not result.success:
+        print("Crawl error:", result.error_message)
+        return
+
+    # Basic info
+    print("Crawled URL:", result.url)
+    print("Status code:", result.status_code)
+
+    # HTML
+    print("Original HTML size:", len(result.html))
+    print("Cleaned HTML size:", len(result.cleaned_html or ""))
+
+    # Markdown output
+    if result.markdown:
+        print("Raw Markdown:", result.markdown.raw_markdown[:300])
+        print("Citations Markdown:", result.markdown.markdown_with_citations[:300])
+        if result.markdown.fit_markdown:
+            print("Fit Markdown:", result.markdown.fit_markdown[:200])
+
+    # Media & Links
+    if "images" in result.media:
+        print("Image count:", len(result.media["images"]))
+    if "internal" in result.links:
+        print("Internal link count:", len(result.links["internal"]))
+
+    # Extraction strategy result
+    if result.extracted_content:
+        print("Structured data:", result.extracted_content)
+
+    # Screenshot/PDF/MHTML
+    if result.screenshot:
+        print("Screenshot length:", len(result.screenshot))
+    if result.pdf:
+        print("PDF bytes length:", len(result.pdf))
+    if result.mhtml:
+        print("MHTML length:", len(result.mhtml))
+
+    # Network and console capturing
+    if result.network_requests:
+        print(f"Network requests captured: {len(result.network_requests)}")
+        # Analyze request types
+        req_types = {}
+        for req in result.network_requests:
+            if "resource_type" in req:
+                req_types[req["resource_type"]] = req_types.get(req["resource_type"], 0) + 1
+        print(f"Resource types: {req_types}")
+
+    if result.console_messages:
+        print(f"Console messages captured: {len(result.console_messages)}")
+        # Count by message type
+        msg_types = {}
+        for msg in result.console_messages:
+            msg_types[msg.get("type", "unknown")] = msg_types.get(msg.get("type", "unknown"), 0) + 1
+        print(f"Message types: {msg_types}")
+```
+## 9. Key Points & Future
+1. **Deprecated legacy properties of CrawlResult**  
+   - `markdown_v2` - Deprecated in v0.5. Just use `markdown`. It holds the `MarkdownGenerationResult` now!
+   - `fit_markdown` and `fit_html` - Deprecated in v0.5. They can now be accessed via `MarkdownGenerationResult` in `result.markdown`. eg: `result.markdown.fit_markdown` and `result.markdown.fit_html`
+2. **Fit Content**  
+   - **`fit_markdown`** and **`fit_html`** appear in MarkdownGenerationResult, only if you used a content filter (like **PruningContentFilter** or **BM25ContentFilter**) inside your **MarkdownGenerationStrategy** or set them directly.  
+   - If no filter is used, they remain `None`.
+3. **References & Citations**  
+   - If you enable link citations in your `DefaultMarkdownGenerator` (`options={"citations": True}`), you’ll see `markdown_with_citations` plus a **`references_markdown`** block. This helps large language models or academic-like referencing.
+4. **Links & Media**  
+   - `links["internal"]` and `links["external"]` group discovered anchors by domain.  
+   - `media["images"]` / `["videos"]` / `["audios"]` store extracted media elements with optional scoring or context.
+5. **Error Cases**  
+   - If `success=False`, check `error_message` (e.g., timeouts, invalid URLs).  
+   - `status_code` might be `None` if we failed before an HTTP response.
+Use **`CrawlResult`** to glean all final outputs and feed them into your data pipelines, AI models, or archives. With the synergy of a properly configured **BrowserConfig** and **CrawlerRunConfig**, the crawler can produce robust, structured results here in **`CrawlResult`**.
+
+
+
+# Configuration
+
+# Browser, Crawler & LLM Configuration (Quick Overview)
+Crawl4AI's flexibility stems from two key classes:
+1. **`BrowserConfig`** – Dictates **how** the browser is launched and behaves (e.g., headless or visible, proxy, user agent).  
+2. **`CrawlerRunConfig`** – Dictates **how** each **crawl** operates (e.g., caching, extraction, timeouts, JavaScript code to run, etc.).  
+3. **`LLMConfig`** - Dictates **how** LLM providers are configured. (model, api token, base url, temperature etc.)
+In most examples, you create **one** `BrowserConfig` for the entire crawler session, then pass a **fresh** or re-used `CrawlerRunConfig` whenever you call `arun()`. This tutorial shows the most commonly used parameters. If you need advanced or rarely used fields, see the [Configuration Parameters](../api/parameters.md).
+## 1. BrowserConfig Essentials
+```python
+class BrowserConfig:
+    def __init__(
+        browser_type="chromium",
+        headless=True,
+        proxy_config=None,
+        viewport_width=1080,
+        viewport_height=600,
+        verbose=True,
+        use_persistent_context=False,
+        user_data_dir=None,
+        cookies=None,
+        headers=None,
+        user_agent=None,
+        text_mode=False,
+        light_mode=False,
+        extra_args=None,
+        enable_stealth=False,
+        # ... other advanced parameters omitted here
+    ):
+        ...
+```
+### Key Fields to Note
+1. **`browser_type`**  
+- Options: `"chromium"`, `"firefox"`, or `"webkit"`.  
+- Defaults to `"chromium"`.  
+- If you need a different engine, specify it here.
+2. **`headless`**  
+   - `True`: Runs the browser in headless mode (invisible browser).  
+   - `False`: Runs the browser in visible mode, which helps with debugging.
+3. **`proxy_config`**  
+   - A dictionary with fields like:  
+```json
+{
+    "server": "http://proxy.example.com:8080", 
+    "username": "...", 
+    "password": "..."
+}
+```
+   - Leave as `None` if a proxy is not required.
+4. **`viewport_width` & `viewport_height`**:  
+   - The initial window size.  
+   - Some sites behave differently with smaller or bigger viewports.
+5. **`verbose`**:  
+   - If `True`, prints extra logs.  
+   - Handy for debugging.
+6. **`use_persistent_context`**:  
+   - If `True`, uses a **persistent** browser profile, storing cookies/local storage across runs.  
+   - Typically also set `user_data_dir` to point to a folder.
+7. **`cookies`** & **`headers`**:  
+   - E.g. `cookies=[{"name": "session", "value": "abc123", "domain": "example.com"}]`.
+8. **`user_agent`**:  
+   - Custom User-Agent string. If `None`, a default is used.  
+   - You can also set `user_agent_mode="random"` for randomization (if you want to fight bot detection).
+9. **`text_mode`** & **`light_mode`**:  
+   - `text_mode=True` disables images, possibly speeding up text-only crawls.  
+   - `light_mode=True` turns off certain background features for performance.  
+10. **`extra_args`**:  
+    - Additional flags for the underlying browser.  
+    - E.g. `["--disable-extensions"]`.
+11. **`enable_stealth`**:  
+    - If `True`, enables stealth mode using playwright-stealth.  
+    - Modifies browser fingerprints to avoid basic bot detection.  
+    - Default is `False`. Recommended for sites with bot protection.
+### Helper Methods
+Both configuration classes provide a `clone()` method to create modified copies:
+```python
+# Create a base browser config
+base_browser = BrowserConfig(
+    browser_type="chromium",
+    headless=True,
+    text_mode=True
+)
+
+# Create a visible browser config for debugging
+debug_browser = base_browser.clone(
+    headless=False,
+    verbose=True
+)
+```
+```python
+from crawl4ai import AsyncWebCrawler, BrowserConfig
+
+browser_conf = BrowserConfig(
+    browser_type="firefox",
+    headless=False,
+    text_mode=True
+)
+
+async with AsyncWebCrawler(config=browser_conf) as crawler:
+    result = await crawler.arun("https://example.com")
+    print(result.markdown[:300])
+```
+## 2. CrawlerRunConfig Essentials
+```python
+class CrawlerRunConfig:
+    def __init__(
+        word_count_threshold=200,
+        extraction_strategy=None,
+        markdown_generator=None,
+        cache_mode=None,
+        js_code=None,
+        wait_for=None,
+        screenshot=False,
+        pdf=False,
+        capture_mhtml=False,
+        # Location and Identity Parameters
+        locale=None,            # e.g. "en-US", "fr-FR"
+        timezone_id=None,       # e.g. "America/New_York"
+        geolocation=None,       # GeolocationConfig object
+        # Resource Management
+        enable_rate_limiting=False,
+        rate_limit_config=None,
+        memory_threshold_percent=70.0,
+        check_interval=1.0,
+        max_session_permit=20,
+        display_mode=None,
+        verbose=True,
+        stream=False,  # Enable streaming for arun_many()
+        # ... other advanced parameters omitted
+    ):
+        ...
+```
+### Key Fields to Note
+1. **`word_count_threshold`**:  
+   - The minimum word count before a block is considered.  
+   - If your site has lots of short paragraphs or items, you can lower it.
+2. **`extraction_strategy`**:  
+   - Where you plug in JSON-based extraction (CSS, LLM, etc.).  
+   - If `None`, no structured extraction is done (only raw/cleaned HTML + markdown).
+3. **`markdown_generator`**:  
+   - E.g., `DefaultMarkdownGenerator(...)`, controlling how HTML→Markdown conversion is done.  
+   - If `None`, a default approach is used.
+4. **`cache_mode`**:  
+   - Controls caching behavior (`ENABLED`, `BYPASS`, `DISABLED`, etc.).  
+   - If `None`, defaults to some level of caching or you can specify `CacheMode.ENABLED`.
+5. **`js_code`**:  
+   - A string or list of JS strings to execute.  
+   - Great for "Load More" buttons or user interactions.  
+6. **`wait_for`**:  
+   - A CSS or JS expression to wait for before extracting content.  
+   - Common usage: `wait_for="css:.main-loaded"` or `wait_for="js:() => window.loaded === true"`.
+7. **`screenshot`**, **`pdf`**, & **`capture_mhtml`**:  
+   - If `True`, captures a screenshot, PDF, or MHTML snapshot after the page is fully loaded.  
+   - The results go to `result.screenshot` (base64), `result.pdf` (bytes), or `result.mhtml` (string).
+8. **Location Parameters**:  
+   - **`locale`**: Browser's locale (e.g., `"en-US"`, `"fr-FR"`) for language preferences
+   - **`timezone_id`**: Browser's timezone (e.g., `"America/New_York"`, `"Europe/Paris"`)
+   - **`geolocation`**: GPS coordinates via `GeolocationConfig(latitude=48.8566, longitude=2.3522)`
+9. **`verbose`**:  
+   - Logs additional runtime details.  
+   - Overlaps with the browser's verbosity if also set to `True` in `BrowserConfig`.
+10. **`enable_rate_limiting`**:  
+   - If `True`, enables rate limiting for batch processing.  
+   - Requires `rate_limit_config` to be set.
+11. **`memory_threshold_percent`**:  
+    - The memory threshold (as a percentage) to monitor.  
+    - If exceeded, the crawler will pause or slow down.
+12. **`check_interval`**:  
+    - The interval (in seconds) to check system resources.  
+    - Affects how often memory and CPU usage are monitored.
+13. **`max_session_permit`**:  
+    - The maximum number of concurrent crawl sessions.  
+    - Helps prevent overwhelming the system.
+14. **`url_matcher`** & **`match_mode`**:  
+    - Enable URL-specific configurations when used with `arun_many()`.
+    - Set `url_matcher` to patterns (glob, function, or list) to match specific URLs.
+    - Use `match_mode` (OR/AND) to control how multiple patterns combine.
+15. **`display_mode`**:  
+    - The display mode for progress information (`DETAILED`, `BRIEF`, etc.).  
+    - Affects how much information is printed during the crawl.
+### Helper Methods
+The `clone()` method is particularly useful for creating variations of your crawler configuration:
+```python
+# Create a base configuration
+base_config = CrawlerRunConfig(
+    cache_mode=CacheMode.ENABLED,
+    word_count_threshold=200,
+    wait_until="networkidle"
+)
+
+# Create variations for different use cases
+stream_config = base_config.clone(
+    stream=True,  # Enable streaming mode
+    cache_mode=CacheMode.BYPASS
+)
+
+debug_config = base_config.clone(
+    page_timeout=120000,  # Longer timeout for debugging
+    verbose=True
+)
+```
+The `clone()` method:
+- Creates a new instance with all the same settings
+- Updates only the specified parameters
+- Leaves the original configuration unchanged
+- Perfect for creating variations without repeating all parameters
+## 3. LLMConfig Essentials
+### Key fields to note
+1. **`provider`**:  
+- Which LLM provider to use. 
+- Possible values are `"ollama/llama3","groq/llama3-70b-8192","groq/llama3-8b-8192", "openai/gpt-4o-mini" ,"openai/gpt-4o","openai/o1-mini","openai/o1-preview","openai/o3-mini","openai/o3-mini-high","anthropic/claude-3-haiku-20240307","anthropic/claude-3-opus-20240229","anthropic/claude-3-sonnet-20240229","anthropic/claude-3-5-sonnet-20240620","gemini/gemini-pro","gemini/gemini-1.5-pro","gemini/gemini-2.0-flash","gemini/gemini-2.0-flash-exp","gemini/gemini-2.0-flash-lite-preview-02-05","deepseek/deepseek-chat"`<br/>*(default: `"openai/gpt-4o-mini"`)*
+2. **`api_token`**:  
+    - Optional. When not provided explicitly, api_token will be read from environment variables based on provider. For example: If a gemini model is passed as provider then,`"GEMINI_API_KEY"` will be read from environment variables  
+    - API token of LLM provider <br/> eg: `api_token = "gsk_1ClHGGJ7Lpn4WGybR7vNWGdyb3FY7zXEw3SCiy0BAVM9lL8CQv"`
+    - Environment variable - use with prefix "env:" <br/> eg:`api_token = "env: GROQ_API_KEY"`            
+3. **`base_url`**:  
+   - If your provider has a custom endpoint
+```python
+llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
+```
+## 4. Putting It All Together
+In a typical scenario, you define **one** `BrowserConfig` for your crawler session, then create **one or more** `CrawlerRunConfig` & `LLMConfig` depending on each call's needs:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, LLMConfig, LLMContentFilter, DefaultMarkdownGenerator
+from crawl4ai import JsonCssExtractionStrategy
+
+async def main():
+    # 1) Browser config: headless, bigger viewport, no proxy
+    browser_conf = BrowserConfig(
+        headless=True,
+        viewport_width=1280,
+        viewport_height=720
+    )
+
+    # 2) Example extraction strategy
+    schema = {
+        "name": "Articles",
+        "baseSelector": "div.article",
+        "fields": [
+            {"name": "title", "selector": "h2", "type": "text"},
+            {"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
+        ]
+    }
+    extraction = JsonCssExtractionStrategy(schema)
+
+    # 3) Example LLM content filtering
+
+    gemini_config = LLMConfig(
+        provider="gemini/gemini-1.5-pro", 
+        api_token = "env:GEMINI_API_TOKEN"
+    )
+
+    # Initialize LLM filter with specific instruction
+    filter = LLMContentFilter(
+        llm_config=gemini_config,  # or your preferred provider
+        instruction="""
+        Focus on extracting the core educational content.
+        Include:
+        - Key concepts and explanations
+        - Important code examples
+        - Essential technical details
+        Exclude:
+        - Navigation elements
+        - Sidebars
+        - Footer content
+        Format the output as clean markdown with proper code blocks and headers.
+        """,
+        chunk_token_threshold=500,  # Adjust based on your needs
+        verbose=True
+    )
+
+    md_generator = DefaultMarkdownGenerator(
+        content_filter=filter,
+        options={"ignore_links": True}
+    )
+
+    # 4) Crawler run config: skip cache, use extraction
+    run_conf = CrawlerRunConfig(
+        markdown_generator=md_generator,
+        extraction_strategy=extraction,
+        cache_mode=CacheMode.BYPASS,
+    )
+
+    async with AsyncWebCrawler(config=browser_conf) as crawler:
+        # 4) Execute the crawl
+        result = await crawler.arun(url="https://example.com/news", config=run_conf)
+
+        if result.success:
+            print("Extracted content:", result.extracted_content)
+        else:
+            print("Error:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 5. Next Steps
+- [BrowserConfig, CrawlerRunConfig & LLMConfig Reference](../api/parameters.md)  
+- **Custom Hooks & Auth** (Inject JavaScript or handle login forms).  
+- **Session Management** (Re-use pages, preserve state across multiple calls).  
+- **Advanced Caching** (Fine-tune read/write cache modes).  
+## 6. Conclusion
+
+
+# 1. **BrowserConfig** – Controlling the Browser
+`BrowserConfig` focuses on **how** the browser is launched and behaves. This includes headless mode, proxies, user agents, and other environment tweaks.
+```python
+from crawl4ai import AsyncWebCrawler, BrowserConfig
+
+browser_cfg = BrowserConfig(
+    browser_type="chromium",
+    headless=True,
+    viewport_width=1280,
+    viewport_height=720,
+    proxy="http://user:pass@proxy:8080",
+    user_agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/116.0.0.0 Safari/537.36",
+)
+```
+## 1.1 Parameter Highlights
+| **Parameter**         | **Type / Default**                     | **What It Does**                                                                                                                     |
+|-----------------------|----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|
+| **`browser_type`**    | `"chromium"`, `"firefox"`, `"webkit"`<br/>*(default: `"chromium"`)* | Which browser engine to use. `"chromium"` is typical for many sites, `"firefox"` or `"webkit"` for specialized tests.                 |
+| **`headless`**        | `bool` (default: `True`)               | Headless means no visible UI. `False` is handy for debugging.                                                                         |
+| **`viewport_width`**  | `int` (default: `1080`)                | Initial page width (in px). Useful for testing responsive layouts.                                                                    |
+| **`viewport_height`** | `int` (default: `600`)                 | Initial page height (in px).                                                                                                          |
+| **`proxy`**           | `str` (deprecated)                      | Deprecated. Use `proxy_config` instead. If set, it will be auto-converted internally. |
+| **`proxy_config`**    | `dict` (default: `None`)               | For advanced or multi-proxy needs, specify details like `{"server": "...", "username": "...", ...}`.                                  |
+| **`use_persistent_context`** | `bool` (default: `False`)       | If `True`, uses a **persistent** browser context (keep cookies, sessions across runs). Also sets `use_managed_browser=True`.          |
+| **`user_data_dir`**   | `str or None` (default: `None`)        | Directory to store user data (profiles, cookies). Must be set if you want permanent sessions.                                         |
+| **`ignore_https_errors`** | `bool` (default: `True`)           | If `True`, continues despite invalid certificates (common in dev/staging).                                                            |
+| **`java_script_enabled`** | `bool` (default: `True`)           | Disable if you want no JS overhead, or if only static content is needed.                                                              |
+| **`cookies`**         | `list` (default: `[]`)                 | Pre-set cookies, each a dict like `{"name": "session", "value": "...", "url": "..."}`.                                                |
+| **`headers`**         | `dict` (default: `{}`)                 | Extra HTTP headers for every request, e.g. `{"Accept-Language": "en-US"}`.                                                            |
+| **`user_agent`**      | `str` (default: Chrome-based UA)       | Your custom or random user agent. `user_agent_mode="random"` can shuffle it.                                                          |
+| **`light_mode`**      | `bool` (default: `False`)              | Disables some background features for performance gains.                                                                              |
+| **`text_mode`**       | `bool` (default: `False`)              | If `True`, tries to disable images/other heavy content for speed.                                                                     |
+| **`use_managed_browser`** | `bool` (default: `False`)          | For advanced “managed” interactions (debugging, CDP usage). Typically set automatically if persistent context is on.                  |
+| **`extra_args`**      | `list` (default: `[]`)                 | Additional flags for the underlying browser process, e.g. `["--disable-extensions"]`.                                                |
+- Set `headless=False` to visually **debug** how pages load or how interactions proceed.  
+- If you need **authentication** storage or repeated sessions, consider `use_persistent_context=True` and specify `user_data_dir`.  
+- For large pages, you might need a bigger `viewport_width` and `viewport_height` to handle dynamic content.
+# 2. **CrawlerRunConfig** – Controlling Each Crawl
+While `BrowserConfig` sets up the **environment**, `CrawlerRunConfig` details **how** each **crawl operation** should behave: caching, content filtering, link or domain blocking, timeouts, JavaScript code, etc.
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+run_cfg = CrawlerRunConfig(
+    wait_for="css:.main-content",
+    word_count_threshold=15,
+    excluded_tags=["nav", "footer"],
+    exclude_external_links=True,
+    stream=True,  # Enable streaming for arun_many()
+)
+```
+## 2.1 Parameter Highlights
+### A) **Content Processing**
+| **Parameter**                | **Type / Default**                   | **What It Does**                                                                                |
+|------------------------------|--------------------------------------|-------------------------------------------------------------------------------------------------|
+| **`word_count_threshold`**   | `int` (default: ~200)                | Skips text blocks below X words. Helps ignore trivial sections.                                 |
+| **`extraction_strategy`**    | `ExtractionStrategy` (default: None) | If set, extracts structured data (CSS-based, LLM-based, etc.).                                  |
+| **`markdown_generator`**     | `MarkdownGenerationStrategy` (None)  | If you want specialized markdown output (citations, filtering, chunking, etc.). Can be customized with options such as `content_source` parameter to select the HTML input source ('cleaned_html', 'raw_html', or 'fit_html').                 |
+| **`css_selector`**           | `str` (None)                         | Retains only the part of the page matching this selector. Affects the entire extraction process. |
+| **`target_elements`**        | `List[str]` (None)                   | List of CSS selectors for elements to focus on for markdown generation and data extraction, while still processing the entire page for links, media, etc. Provides more flexibility than `css_selector`. |
+| **`excluded_tags`**          | `list` (None)                        | Removes entire tags (e.g. `["script", "style"]`).                                               |
+| **`excluded_selector`**      | `str` (None)                         | Like `css_selector` but to exclude. E.g. `"#ads, .tracker"`.                                    |
+| **`only_text`**              | `bool` (False)                       | If `True`, tries to extract text-only content.                                                  |
+| **`prettiify`**              | `bool` (False)                       | If `True`, beautifies final HTML (slower, purely cosmetic).                                      |
+| **`keep_data_attributes`**   | `bool` (False)                       | If `True`, preserve `data-*` attributes in cleaned HTML.                                         |
+| **`remove_forms`**           | `bool` (False)                       | If `True`, remove all `<form>` elements.                                                        |
+### B) **Caching & Session**
+| **Parameter**           | **Type / Default**     | **What It Does**                                                                                                              |
+|-------------------------|------------------------|------------------------------------------------------------------------------------------------------------------------------|
+| **`cache_mode`**        | `CacheMode or None`    | Controls how caching is handled (`ENABLED`, `BYPASS`, `DISABLED`, etc.). If `None`, typically defaults to `ENABLED`.          |
+| **`session_id`**        | `str or None`          | Assign a unique ID to reuse a single browser session across multiple `arun()` calls.                                          |
+| **`bypass_cache`**      | `bool` (False)         | If `True`, acts like `CacheMode.BYPASS`.                                                                                     |
+| **`disable_cache`**     | `bool` (False)         | If `True`, acts like `CacheMode.DISABLED`.                                                                                   |
+| **`no_cache_read`**     | `bool` (False)         | If `True`, acts like `CacheMode.WRITE_ONLY` (writes cache but never reads).                                                  |
+| **`no_cache_write`**    | `bool` (False)         | If `True`, acts like `CacheMode.READ_ONLY` (reads cache but never writes).                                                   |
+### C) **Page Navigation & Timing**
+| **Parameter**              | **Type / Default**      | **What It Does**                                                                                                    |
+|----------------------------|-------------------------|----------------------------------------------------------------------------------------------------------------------|
+| **`wait_until`**           | `str` (domcontentloaded)| Condition for navigation to “complete”. Often `"networkidle"` or `"domcontentloaded"`.                               |
+| **`page_timeout`**         | `int` (60000 ms)        | Timeout for page navigation or JS steps. Increase for slow sites.                                                    |
+| **`wait_for`**             | `str or None`           | Wait for a CSS (`"css:selector"`) or JS (`"js:() => bool"`) condition before content extraction.                     |
+| **`wait_for_images`**      | `bool` (False)          | Wait for images to load before finishing. Slows down if you only want text.                                          |
+| **`delay_before_return_html`** | `float` (0.1)       | Additional pause (seconds) before final HTML is captured. Good for last-second updates.                               |
+| **`check_robots_txt`**     | `bool` (False)          | Whether to check and respect robots.txt rules before crawling. If True, caches robots.txt for efficiency.            |
+| **`mean_delay`** and **`max_range`** | `float` (0.1, 0.3) | If you call `arun_many()`, these define random delay intervals between crawls, helping avoid detection or rate limits. |
+| **`semaphore_count`**      | `int` (5)               | Max concurrency for `arun_many()`. Increase if you have resources for parallel crawls.                                |
+### D) **Page Interaction**
+| **Parameter**              | **Type / Default**            | **What It Does**                                                                                                                       |
+|----------------------------|--------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|
+| **`js_code`**              | `str or list[str]` (None)      | JavaScript to run after load. E.g. `"document.querySelector('button')?.click();"`.                                                     |
+| **`js_only`**              | `bool` (False)                 | If `True`, indicates we’re reusing an existing session and only applying JS. No full reload.                                           |
+| **`ignore_body_visibility`** | `bool` (True)                | Skip checking if `<body>` is visible. Usually best to keep `True`.                                                                     |
+| **`scan_full_page`**       | `bool` (False)                 | If `True`, auto-scroll the page to load dynamic content (infinite scroll).                                                              |
+| **`scroll_delay`**         | `float` (0.2)                  | Delay between scroll steps if `scan_full_page=True`.                                                                                   |
+| **`process_iframes`**      | `bool` (False)                 | Inlines iframe content for single-page extraction.                                                                                     |
+| **`remove_overlay_elements`** | `bool` (False)              | Removes potential modals/popups blocking the main content.                                                                              |
+| **`simulate_user`**        | `bool` (False)                 | Simulate user interactions (mouse movements) to avoid bot detection.                                                                    |
+| **`override_navigator`**   | `bool` (False)                 | Override `navigator` properties in JS for stealth.                                                                                      |
+| **`magic`**                | `bool` (False)                 | Automatic handling of popups/consent banners. Experimental.                                                                             |
+| **`adjust_viewport_to_content`** | `bool` (False)           | Resizes viewport to match page content height.                                                                                          |
+If your page is a single-page app with repeated JS updates, set `js_only=True` in subsequent calls, plus a `session_id` for reusing the same tab.
+### E) **Media Handling**
+| **Parameter**                              | **Type / Default**  | **What It Does**                                                                                         |
+|--------------------------------------------|---------------------|-----------------------------------------------------------------------------------------------------------|
+| **`screenshot`**                           | `bool` (False)      | Capture a screenshot (base64) in `result.screenshot`.                                                     |
+| **`screenshot_wait_for`**                  | `float or None`     | Extra wait time before the screenshot.                                                                    |
+| **`screenshot_height_threshold`**          | `int` (~20000)      | If the page is taller than this, alternate screenshot strategies are used.                                |
+| **`pdf`**                                  | `bool` (False)      | If `True`, returns a PDF in `result.pdf`.                                                                 |
+| **`capture_mhtml`**                        | `bool` (False)      | If `True`, captures an MHTML snapshot of the page in `result.mhtml`. MHTML includes all page resources (CSS, images, etc.) in a single file. |
+| **`image_description_min_word_threshold`** | `int` (~50)         | Minimum words for an image’s alt text or description to be considered valid.                              |
+| **`image_score_threshold`**                | `int` (~3)          | Filter out low-scoring images. The crawler scores images by relevance (size, context, etc.).              |
+| **`exclude_external_images`**              | `bool` (False)      | Exclude images from other domains.                                                                        |
+### F) **Link/Domain Handling**
+| **Parameter**                | **Type / Default**      | **What It Does**                                                                                                             |
+|------------------------------|-------------------------|-----------------------------------------------------------------------------------------------------------------------------|
+| **`exclude_social_media_domains`** | `list` (e.g. Facebook/Twitter) | A default list can be extended. Any link to these domains is removed from final output.                                      |
+| **`exclude_external_links`** | `bool` (False)          | Removes all links pointing outside the current domain.                                                                      |
+| **`exclude_social_media_links`** | `bool` (False)      | Strips links specifically to social sites (like Facebook or Twitter).                                                      |
+| **`exclude_domains`**        | `list` ([])             | Provide a custom list of domains to exclude (like `["ads.com", "trackers.io"]`).                                            |
+| **`preserve_https_for_internal_links`** | `bool` (False) | If `True`, preserves HTTPS scheme for internal links even when the server redirects to HTTP. Useful for security-conscious crawling. |
+### G) **Debug & Logging**
+| **Parameter**  | **Type / Default** | **What It Does**                                                         |
+|----------------|--------------------|---------------------------------------------------------------------------|
+| **`verbose`**  | `bool` (True)     | Prints logs detailing each step of crawling, interactions, or errors.    |
+| **`log_console`** | `bool` (False) | Logs the page’s JavaScript console output if you want deeper JS debugging.|
+### H) **Virtual Scroll Configuration**
+| **Parameter**                | **Type / Default**           | **What It Does**                                                                                                                    |
+|------------------------------|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
+| **`virtual_scroll_config`**  | `VirtualScrollConfig or dict` (None) | Configuration for handling virtualized scrolling on sites like Twitter/Instagram where content is replaced rather than appended. |
+When sites use virtual scrolling (content replaced as you scroll), use `VirtualScrollConfig`:
+```python
+from crawl4ai import VirtualScrollConfig
+
+virtual_config = VirtualScrollConfig(
+    container_selector="#timeline",    # CSS selector for scrollable container
+    scroll_count=30,                   # Number of times to scroll
+    scroll_by="container_height",      # How much to scroll: "container_height", "page_height", or pixels (e.g. 500)
+    wait_after_scroll=0.5             # Seconds to wait after each scroll for content to load
+)
+
+config = CrawlerRunConfig(
+    virtual_scroll_config=virtual_config
+)
+```
+**VirtualScrollConfig Parameters:**
+| **Parameter**          | **Type / Default**        | **What It Does**                                                                          |
+|------------------------|---------------------------|-------------------------------------------------------------------------------------------|
+| **`container_selector`** | `str` (required)        | CSS selector for the scrollable container (e.g., `"#feed"`, `".timeline"`)              |
+| **`scroll_count`**     | `int` (10)               | Maximum number of scrolls to perform                                                      |
+| **`scroll_by`**        | `str or int` ("container_height") | Scroll amount: `"container_height"`, `"page_height"`, or pixels (e.g., `500`)   |
+| **`wait_after_scroll`** | `float` (0.5)           | Time in seconds to wait after each scroll for new content to load                        |
+- Use `virtual_scroll_config` when content is **replaced** during scroll (Twitter, Instagram)
+- Use `scan_full_page` when content is **appended** during scroll (traditional infinite scroll)
+### I) **URL Matching Configuration**
+| **Parameter**          | **Type / Default**           | **What It Does**                                                                                                                    |
+|------------------------|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|
+| **`url_matcher`**      | `UrlMatcher` (None)          | Pattern(s) to match URLs against. Can be: string (glob), function, or list of mixed types. **None means match ALL URLs**         |
+| **`match_mode`**       | `MatchMode` (MatchMode.OR)   | How to combine multiple matchers in a list: `MatchMode.OR` (any match) or `MatchMode.AND` (all must match)                       |
+The `url_matcher` parameter enables URL-specific configurations when used with `arun_many()`:
+```python
+from crawl4ai import CrawlerRunConfig, MatchMode
+from crawl4ai.processors.pdf import PDFContentScrapingStrategy
+from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
+
+# Simple string pattern (glob-style)
+pdf_config = CrawlerRunConfig(
+    url_matcher="*.pdf",
+    scraping_strategy=PDFContentScrapingStrategy()
+)
+
+# Multiple patterns with OR logic (default)
+blog_config = CrawlerRunConfig(
+    url_matcher=["*/blog/*", "*/article/*", "*/news/*"],
+    match_mode=MatchMode.OR  # Any pattern matches
+)
+
+# Function matcher
+api_config = CrawlerRunConfig(
+    url_matcher=lambda url: 'api' in url or url.endswith('.json'),
+    # Other settings like extraction_strategy
+)
+
+# Mixed: String + Function with AND logic
+complex_config = CrawlerRunConfig(
+    url_matcher=[
+        lambda url: url.startswith('https://'),  # Must be HTTPS
+        "*.org/*",                               # Must be .org domain
+        lambda url: 'docs' in url                # Must contain 'docs'
+    ],
+    match_mode=MatchMode.AND  # ALL conditions must match
+)
+
+# Combined patterns and functions with AND logic
+secure_docs = CrawlerRunConfig(
+    url_matcher=["https://*", lambda url: '.doc' in url],
+    match_mode=MatchMode.AND  # Must be HTTPS AND contain .doc
+)
+
+# Default config - matches ALL URLs
+default_config = CrawlerRunConfig()  # No url_matcher = matches everything
+```
+**UrlMatcher Types:**
+- **None (default)**: When `url_matcher` is None or not set, the config matches ALL URLs
+- **String patterns**: Glob-style patterns like `"*.pdf"`, `"*/api/*"`, `"https://*.example.com/*"`
+- **Functions**: `lambda url: bool` - Custom logic for complex matching
+- **Lists**: Mix strings and functions, combined with `MatchMode.OR` or `MatchMode.AND`
+**Important Behavior:**
+- When passing a list of configs to `arun_many()`, URLs are matched against each config's `url_matcher` in order. First match wins!
+- If no config matches a URL and there's no default config (one without `url_matcher`), the URL will fail with "No matching configuration found"
+Both `BrowserConfig` and `CrawlerRunConfig` provide a `clone()` method to create modified copies:
+```python
+# Create a base configuration
+base_config = CrawlerRunConfig(
+    cache_mode=CacheMode.ENABLED,
+    word_count_threshold=200
+)
+
+# Create variations using clone()
+stream_config = base_config.clone(stream=True)
+no_cache_config = base_config.clone(
+    cache_mode=CacheMode.BYPASS,
+    stream=True
+)
+```
+The `clone()` method is particularly useful when you need slightly different configurations for different use cases, without modifying the original config.
+## 2.3 Example Usage
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+
+async def main():
+    # Configure the browser
+    browser_cfg = BrowserConfig(
+        headless=False,
+        viewport_width=1280,
+        viewport_height=720,
+        proxy="http://user:pass@myproxy:8080",
+        text_mode=True
+    )
+
+    # Configure the run
+    run_cfg = CrawlerRunConfig(
+        cache_mode=CacheMode.BYPASS,
+        session_id="my_session",
+        css_selector="main.article",
+        excluded_tags=["script", "style"],
+        exclude_external_links=True,
+        wait_for="css:.article-loaded",
+        screenshot=True,
+        stream=True
+    )
+
+    async with AsyncWebCrawler(config=browser_cfg) as crawler:
+        result = await crawler.arun(
+            url="https://example.com/news",
+            config=run_cfg
+        )
+        if result.success:
+            print("Final cleaned_html length:", len(result.cleaned_html))
+            if result.screenshot:
+                print("Screenshot captured (base64, length):", len(result.screenshot))
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 2.4 Compliance & Ethics
+| **Parameter**          | **Type / Default**      | **What It Does**                                                                                                    |
+|-----------------------|-------------------------|----------------------------------------------------------------------------------------------------------------------|
+| **`check_robots_txt`**| `bool` (False)          | When True, checks and respects robots.txt rules before crawling. Uses efficient caching with SQLite backend.          |
+| **`user_agent`**      | `str` (None)            | User agent string to identify your crawler. Used for robots.txt checking when enabled.                                |
+```python
+run_config = CrawlerRunConfig(
+    check_robots_txt=True,  # Enable robots.txt compliance
+    user_agent="MyBot/1.0"  # Identify your crawler
+)
+```
+# 3. **LLMConfig** - Setting up LLM providers
+1. LLMExtractionStrategy
+2. LLMContentFilter
+3. JsonCssExtractionStrategy.generate_schema
+4. JsonXPathExtractionStrategy.generate_schema
+## 3.1 Parameters
+| **Parameter**         | **Type / Default**                     | **What It Does**                                                                                                                     |
+|-----------------------|----------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|
+| **`provider`**    | `"ollama/llama3","groq/llama3-70b-8192","groq/llama3-8b-8192", "openai/gpt-4o-mini" ,"openai/gpt-4o","openai/o1-mini","openai/o1-preview","openai/o3-mini","openai/o3-mini-high","anthropic/claude-3-haiku-20240307","anthropic/claude-3-opus-20240229","anthropic/claude-3-sonnet-20240229","anthropic/claude-3-5-sonnet-20240620","gemini/gemini-pro","gemini/gemini-1.5-pro","gemini/gemini-2.0-flash","gemini/gemini-2.0-flash-exp","gemini/gemini-2.0-flash-lite-preview-02-05","deepseek/deepseek-chat"`<br/>*(default: `"openai/gpt-4o-mini"`)* | Which LLM provider to use. 
+| **`api_token`**         |1.Optional. When not provided explicitly, api_token will be read from environment variables based on provider. For example: If a gemini model is passed as provider then,`"GEMINI_API_KEY"` will be read from environment variables  <br/> 2. API token of LLM provider <br/> eg: `api_token = "gsk_1ClHGGJ7Lpn4WGybR7vNWGdyb3FY7zXEw3SCiy0BAVM9lL8CQv"` <br/> 3. Environment variable - use with prefix "env:" <br/> eg:`api_token = "env: GROQ_API_KEY"`              | API token to use for the given provider 
+| **`base_url`**         |Optional. Custom API endpoint | If your provider has a custom endpoint
+## 3.2 Example Usage
+```python
+llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
+```
+## 4. Putting It All Together
+- **Use** `BrowserConfig` for **global** browser settings: engine, headless, proxy, user agent.  
+- **Use** `CrawlerRunConfig` for each crawl’s **context**: how to filter content, handle caching, wait for dynamic elements, or run JS.  
+- **Pass** both configs to `AsyncWebCrawler` (the `BrowserConfig`) and then to `arun()` (the `CrawlerRunConfig`).  
+- **Use** `LLMConfig` for LLM provider configurations that can be used across all extraction, filtering, schema generation tasks. Can be used in - `LLMExtractionStrategy`, `LLMContentFilter`, `JsonCssExtractionStrategy.generate_schema` & `JsonXPathExtractionStrategy.generate_schema`
+```python
+# Create a modified copy with the clone() method
+stream_cfg = run_cfg.clone(
+    stream=True,
+    cache_mode=CacheMode.BYPASS
+)
+```
+
+
+
+# Crawling Patterns
+
+# Simple Crawling
+## Basic Usage
+Set up a simple crawl using `BrowserConfig` and `CrawlerRunConfig`:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler
+from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
+
+async def main():
+    browser_config = BrowserConfig()  # Default browser configuration
+    run_config = CrawlerRunConfig()   # Default crawl run configuration
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            config=run_config
+        )
+        print(result.markdown)  # Print clean markdown content
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## Understanding the Response
+The `arun()` method returns a `CrawlResult` object with several useful properties. Here's a quick overview (see [CrawlResult](../api/crawl-result.md) for complete details):
+```python
+config = CrawlerRunConfig(
+    markdown_generator=DefaultMarkdownGenerator(
+        content_filter=PruningContentFilter(threshold=0.6),
+        options={"ignore_links": True}
+    )
+)
+
+result = await crawler.arun(
+    url="https://example.com",
+    config=config
+)
+
+# Different content formats
+print(result.html)         # Raw HTML
+print(result.cleaned_html) # Cleaned HTML
+print(result.markdown.raw_markdown) # Raw markdown from cleaned html
+print(result.markdown.fit_markdown) # Most relevant content in markdown
+
+# Check success status
+print(result.success)      # True if crawl succeeded
+print(result.status_code)  # HTTP status code (e.g., 200, 404)
+
+# Access extracted media and links
+print(result.media)        # Dictionary of found media (images, videos, audio)
+print(result.links)        # Dictionary of internal and external links
+```
+## Adding Basic Options
+Customize your crawl using `CrawlerRunConfig`:
+```python
+run_config = CrawlerRunConfig(
+    word_count_threshold=10,        # Minimum words per content block
+    exclude_external_links=True,    # Remove external links
+    remove_overlay_elements=True,   # Remove popups/modals
+    process_iframes=True           # Process iframe content
+)
+
+result = await crawler.arun(
+    url="https://example.com",
+    config=run_config
+)
+```
+## Handling Errors
+```python
+run_config = CrawlerRunConfig()
+result = await crawler.arun(url="https://example.com", config=run_config)
+
+if not result.success:
+    print(f"Crawl failed: {result.error_message}")
+    print(f"Status code: {result.status_code}")
+```
+## Logging and Debugging
+Enable verbose logging in `BrowserConfig`:
+```python
+browser_config = BrowserConfig(verbose=True)
+
+async with AsyncWebCrawler(config=browser_config) as crawler:
+    run_config = CrawlerRunConfig()
+    result = await crawler.arun(url="https://example.com", config=run_config)
+```
+## Complete Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler
+from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig, CacheMode
+
+async def main():
+    browser_config = BrowserConfig(verbose=True)
+    run_config = CrawlerRunConfig(
+        # Content filtering
+        word_count_threshold=10,
+        excluded_tags=['form', 'header'],
+        exclude_external_links=True,
+
+        # Content processing
+        process_iframes=True,
+        remove_overlay_elements=True,
+
+        # Cache control
+        cache_mode=CacheMode.ENABLED  # Use cache if available
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            config=run_config
+        )
+
+        if result.success:
+            # Print clean content
+            print("Content:", result.markdown[:500])  # First 500 chars
+
+            # Process images
+            for image in result.media["images"]:
+                print(f"Found image: {image['src']}")
+
+            # Process links
+            for link in result.links["internal"]:
+                print(f"Internal link: {link['href']}")
+
+        else:
+            print(f"Crawl failed: {result.error_message}")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+
+
+# Content Processing
+
+# Markdown Generation Basics
+1. How to configure the **Default Markdown Generator**  
+3. The difference between raw markdown (`result.markdown`) and filtered markdown (`fit_markdown`)  
+> - You know how to configure `CrawlerRunConfig`.
+## 1. Quick Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+
+async def main():
+    config = CrawlerRunConfig(
+        markdown_generator=DefaultMarkdownGenerator()
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com", config=config)
+
+        if result.success:
+            print("Raw Markdown Output:\n")
+            print(result.markdown)  # The unfiltered markdown from the page
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- `CrawlerRunConfig( markdown_generator = DefaultMarkdownGenerator() )` instructs Crawl4AI to convert the final HTML into markdown at the end of each crawl.  
+- The resulting markdown is accessible via `result.markdown`.
+## 2. How Markdown Generation Works
+### 2.1 HTML-to-Text Conversion (Forked & Modified)
+- Preserves headings, code blocks, bullet points, etc.  
+- Removes extraneous tags (scripts, styles) that don’t add meaningful content.  
+- Can optionally generate references for links or skip them altogether.
+### 2.2 Link Citations & References
+By default, the generator can convert `<a href="...">` elements into `[text][1]` citations, then place the actual links at the bottom of the document. This is handy for research workflows that demand references in a structured manner.
+### 2.3 Optional Content Filters
+## 3. Configuring the Default Markdown Generator
+You can tweak the output by passing an `options` dict to `DefaultMarkdownGenerator`. For example:
+```python
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    # Example: ignore all links, don't escape HTML, and wrap text at 80 characters
+    md_generator = DefaultMarkdownGenerator(
+        options={
+            "ignore_links": True,
+            "escape_html": False,
+            "body_width": 80
+        }
+    )
+
+    config = CrawlerRunConfig(
+        markdown_generator=md_generator
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com/docs", config=config)
+        if result.success:
+            print("Markdown:\n", result.markdown[:500])  # Just a snippet
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(main())
+```
+Some commonly used `options`:
+- **`ignore_links`** (bool): Whether to remove all hyperlinks in the final markdown.  
+- **`ignore_images`** (bool): Remove all `![image]()` references.  
+- **`escape_html`** (bool): Turn HTML entities into text (default is often `True`).  
+- **`body_width`** (int): Wrap text at N characters. `0` or `None` means no wrapping.  
+- **`skip_internal_links`** (bool): If `True`, omit `#localAnchors` or internal links referencing the same page.  
+- **`include_sup_sub`** (bool): Attempt to handle `<sup>` / `<sub>` in a more readable way.
+## 4. Selecting the HTML Source for Markdown Generation
+The `content_source` parameter allows you to control which HTML content is used as input for markdown generation. This gives you flexibility in how the HTML is processed before conversion to markdown.
+```python
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    # Option 1: Use the raw HTML directly from the webpage (before any processing)
+    raw_md_generator = DefaultMarkdownGenerator(
+        content_source="raw_html",
+        options={"ignore_links": True}
+    )
+
+    # Option 2: Use the cleaned HTML (after scraping strategy processing - default)
+    cleaned_md_generator = DefaultMarkdownGenerator(
+        content_source="cleaned_html",  # This is the default
+        options={"ignore_links": True}
+    )
+
+    # Option 3: Use preprocessed HTML optimized for schema extraction
+    fit_md_generator = DefaultMarkdownGenerator(
+        content_source="fit_html",
+        options={"ignore_links": True}
+    )
+
+    # Use one of the generators in your crawler config
+    config = CrawlerRunConfig(
+        markdown_generator=raw_md_generator  # Try each of the generators
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com", config=config)
+        if result.success:
+            print("Markdown:\n", result.markdown.raw_markdown[:500])
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(main())
+```
+### HTML Source Options
+- **`"cleaned_html"`** (default): Uses the HTML after it has been processed by the scraping strategy. This HTML is typically cleaner and more focused on content, with some boilerplate removed.
+- **`"raw_html"`**: Uses the original HTML directly from the webpage, before any cleaning or processing. This preserves more of the original content, but may include navigation bars, ads, footers, and other elements that might not be relevant to the main content.
+- **`"fit_html"`**: Uses HTML preprocessed for schema extraction. This HTML is optimized for structured data extraction and may have certain elements simplified or removed.
+### When to Use Each Option
+- Use **`"cleaned_html"`** (default) for most cases where you want a balance of content preservation and noise removal.
+- Use **`"raw_html"`** when you need to preserve all original content, or when the cleaning process is removing content you actually want to keep.
+- Use **`"fit_html"`** when working with structured data or when you need HTML that's optimized for schema extraction.
+## 5. Content Filters
+### 5.1 BM25ContentFilter
+```python
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+from crawl4ai.content_filter_strategy import BM25ContentFilter
+from crawl4ai import CrawlerRunConfig
+
+bm25_filter = BM25ContentFilter(
+    user_query="machine learning",
+    bm25_threshold=1.2,
+    language="english"
+)
+
+md_generator = DefaultMarkdownGenerator(
+    content_filter=bm25_filter,
+    options={"ignore_links": True}
+)
+
+config = CrawlerRunConfig(markdown_generator=md_generator)
+```
+- **`user_query`**: The term you want to focus on. BM25 tries to keep only content blocks relevant to that query.  
+- **`bm25_threshold`**: Raise it to keep fewer blocks; lower it to keep more.  
+- **`use_stemming`** *(default `True`)*: Whether to apply stemming to the query and content.
+- **`language (str)`**: Language for stemming (default: 'english').
+### 5.2 PruningContentFilter
+If you **don’t** have a specific query, or if you just want a robust “junk remover,” use `PruningContentFilter`. It analyzes text density, link density, HTML structure, and known patterns (like “nav,” “footer”) to systematically prune extraneous or repetitive sections.
+```python
+from crawl4ai.content_filter_strategy import PruningContentFilter
+
+prune_filter = PruningContentFilter(
+    threshold=0.5,
+    threshold_type="fixed",  # or "dynamic"
+    min_word_threshold=50
+)
+```
+- **`threshold`**: Score boundary. Blocks below this score get removed.  
+- **`threshold_type`**:  
+    - `"fixed"`: Straight comparison (`score >= threshold` keeps the block).  
+    - `"dynamic"`: The filter adjusts threshold in a data-driven manner.  
+- **`min_word_threshold`**: Discard blocks under N words as likely too short or unhelpful.
+- You want a broad cleanup without a user query.  
+### 5.3 LLMContentFilter
+```python
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, LLMConfig, DefaultMarkdownGenerator
+from crawl4ai.content_filter_strategy import LLMContentFilter
+
+async def main():
+    # Initialize LLM filter with specific instruction
+    filter = LLMContentFilter(
+        llm_config = LLMConfig(provider="openai/gpt-4o",api_token="your-api-token"), #or use environment variable
+        instruction="""
+        Focus on extracting the core educational content.
+        Include:
+        - Key concepts and explanations
+        - Important code examples
+        - Essential technical details
+        Exclude:
+        - Navigation elements
+        - Sidebars
+        - Footer content
+        Format the output as clean markdown with proper code blocks and headers.
+        """,
+        chunk_token_threshold=4096,  # Adjust based on your needs
+        verbose=True
+    )
+    md_generator = DefaultMarkdownGenerator(
+        content_filter=filter,
+        options={"ignore_links": True}
+    )
+    config = CrawlerRunConfig(
+        markdown_generator=md_generator,
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com", config=config)
+        print(result.markdown.fit_markdown)  # Filtered markdown content
+```
+- **Chunk Processing**: Handles large documents by processing them in chunks (controlled by `chunk_token_threshold`)
+- **Parallel Processing**: For better performance, use smaller `chunk_token_threshold` (e.g., 2048 or 4096) to enable parallel processing of content chunks
+1. **Exact Content Preservation**:
+```python
+filter = LLMContentFilter(
+    instruction="""
+    Extract the main educational content while preserving its original wording and substance completely.
+    1. Maintain the exact language and terminology
+    2. Keep all technical explanations and examples intact
+    3. Preserve the original flow and structure
+    4. Remove only clearly irrelevant elements like navigation menus and ads
+    """,
+    chunk_token_threshold=4096
+)
+```
+2. **Focused Content Extraction**:
+```python
+filter = LLMContentFilter(
+    instruction="""
+    Focus on extracting specific types of content:
+    - Technical documentation
+    - Code examples
+    - API references
+    Reformat the content into clear, well-structured markdown
+    """,
+    chunk_token_threshold=4096
+)
+```
+> **Performance Tip**: Set a smaller `chunk_token_threshold` (e.g., 2048 or 4096) to enable parallel processing of content chunks. The default value is infinity, which processes the entire content as a single chunk.
+## 6. Using Fit Markdown
+When a content filter is active, the library produces two forms of markdown inside `result.markdown`:
+1. **`raw_markdown`**: The full unfiltered markdown.  
+2. **`fit_markdown`**: A “fit” version where the filter has removed or trimmed noisy segments.
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+from crawl4ai.content_filter_strategy import PruningContentFilter
+
+async def main():
+    config = CrawlerRunConfig(
+        markdown_generator=DefaultMarkdownGenerator(
+            content_filter=PruningContentFilter(threshold=0.6),
+            options={"ignore_links": True}
+        )
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://news.example.com/tech", config=config)
+        if result.success:
+            print("Raw markdown:\n", result.markdown)
+
+            # If a filter is used, we also have .fit_markdown:
+            md_object = result.markdown  # or your equivalent
+            print("Filtered markdown:\n", md_object.fit_markdown)
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 7. The `MarkdownGenerationResult` Object
+If your library stores detailed markdown output in an object like `MarkdownGenerationResult`, you’ll see fields such as:
+- **`raw_markdown`**: The direct HTML-to-markdown transformation (no filtering).  
+- **`markdown_with_citations`**: A version that moves links to reference-style footnotes.  
+- **`references_markdown`**: A separate string or section containing the gathered references.  
+- **`fit_markdown`**: The filtered markdown if you used a content filter.  
+- **`fit_html`**: The corresponding HTML snippet used to generate `fit_markdown` (helpful for debugging or advanced usage).
+```python
+md_obj = result.markdown  # your library’s naming may vary
+print("RAW:\n", md_obj.raw_markdown)
+print("CITED:\n", md_obj.markdown_with_citations)
+print("REFERENCES:\n", md_obj.references_markdown)
+print("FIT:\n", md_obj.fit_markdown)
+```
+- You can supply `raw_markdown` to an LLM if you want the entire text.  
+- Or feed `fit_markdown` into a vector database to reduce token usage.  
+- `references_markdown` can help you keep track of link provenance.
+## 8. Combining Filters (BM25 + Pruning) in Two Passes
+You might want to **prune out** noisy boilerplate first (with `PruningContentFilter`), and then **rank what’s left** against a user query (with `BM25ContentFilter`). You don’t have to crawl the page twice. Instead:
+1. **First pass**: Apply `PruningContentFilter` directly to the raw HTML from `result.html` (the crawler’s downloaded HTML).  
+2. **Second pass**: Take the pruned HTML (or text) from step 1, and feed it into `BM25ContentFilter`, focusing on a user query.
+### Two-Pass Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.content_filter_strategy import PruningContentFilter, BM25ContentFilter
+from bs4 import BeautifulSoup
+
+async def main():
+    # 1. Crawl with minimal or no markdown generator, just get raw HTML
+    config = CrawlerRunConfig(
+        # If you only want raw HTML, you can skip passing a markdown_generator
+        # or provide one but focus on .html in this example
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com/tech-article", config=config)
+
+        if not result.success or not result.html:
+            print("Crawl failed or no HTML content.")
+            return
+
+        raw_html = result.html
+
+        # 2. First pass: PruningContentFilter on raw HTML
+        pruning_filter = PruningContentFilter(threshold=0.5, min_word_threshold=50)
+
+        # filter_content returns a list of "text chunks" or cleaned HTML sections
+        pruned_chunks = pruning_filter.filter_content(raw_html)
+        # This list is basically pruned content blocks, presumably in HTML or text form
+
+        # For demonstration, let's combine these chunks back into a single HTML-like string
+        # or you could do further processing. It's up to your pipeline design.
+        pruned_html = "\n".join(pruned_chunks)
+
+        # 3. Second pass: BM25ContentFilter with a user query
+        bm25_filter = BM25ContentFilter(
+            user_query="machine learning",
+            bm25_threshold=1.2,
+            language="english"
+        )
+
+        # returns a list of text chunks
+        bm25_chunks = bm25_filter.filter_content(pruned_html)  
+
+        if not bm25_chunks:
+            print("Nothing matched the BM25 query after pruning.")
+            return
+
+        # 4. Combine or display final results
+        final_text = "\n---\n".join(bm25_chunks)
+
+        print("==== PRUNED OUTPUT (first pass) ====")
+        print(pruned_html[:500], "... (truncated)")  # preview
+
+        print("\n==== BM25 OUTPUT (second pass) ====")
+        print(final_text[:500], "... (truncated)")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+### What’s Happening?
+1. **Raw HTML**: We crawl once and store the raw HTML in `result.html`.  
+4. **BM25ContentFilter**: We feed the pruned string into `BM25ContentFilter` with a user query. This second pass further narrows the content to chunks relevant to “machine learning.”
+**No Re-Crawling**: We used `raw_html` from the first pass, so there’s no need to run `arun()` again—**no second network request**.
+### Tips & Variations
+- **Plain Text vs. HTML**: If your pruned output is mostly text, BM25 can still handle it; just keep in mind it expects a valid string input. If you supply partial HTML (like `"<p>some text</p>"`), it will parse it as HTML.  
+- **Adjust Thresholds**: If you see too much or too little text in step one, tweak `threshold=0.5` or `min_word_threshold=50`. Similarly, `bm25_threshold=1.2` can be raised/lowered for more or fewer chunks in step two.
+### One-Pass Combination?
+## 9. Common Pitfalls & Tips
+1. **No Markdown Output?**  
+2. **Performance Considerations**  
+   - Very large pages with multiple filters can be slower. Consider `cache_mode` to avoid re-downloading.  
+3. **Take Advantage of `fit_markdown`**  
+4. **Adjusting `html2text` Options**  
+   - If you see lots of raw HTML slipping into the text, turn on `escape_html`.  
+   - If code blocks look messy, experiment with `mark_code` or `handle_code_in_pre`.
+## 10. Summary & Next Steps
+- Configure the **DefaultMarkdownGenerator** with HTML-to-text options.  
+- Select different HTML sources using the `content_source` parameter.  
+- Distinguish between raw and filtered markdown (`fit_markdown`).  
+- Leverage the `MarkdownGenerationResult` object to handle different forms of output (citations, references, etc.).
+
+
+# Fit Markdown with Pruning & BM25
+## 1. How “Fit Markdown” Works
+### 1.1 The `content_filter`
+In **`CrawlerRunConfig`**, you can specify a **`content_filter`** to shape how content is pruned or ranked before final markdown generation. A filter’s logic is applied **before** or **during** the HTML→Markdown process, producing:
+- **`result.markdown.raw_markdown`** (unfiltered)
+- **`result.markdown.fit_markdown`** (filtered or “fit” version)
+- **`result.markdown.fit_html`** (the corresponding HTML snippet that produced `fit_markdown`)
+### 1.2 Common Filters
+## 2. PruningContentFilter
+### 2.1 Usage Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.content_filter_strategy import PruningContentFilter
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+
+async def main():
+    # Step 1: Create a pruning filter
+    prune_filter = PruningContentFilter(
+        # Lower → more content retained, higher → more content pruned
+        threshold=0.45,           
+        # "fixed" or "dynamic"
+        threshold_type="dynamic",  
+        # Ignore nodes with <5 words
+        min_word_threshold=5      
+    )
+
+    # Step 2: Insert it into a Markdown Generator
+    md_generator = DefaultMarkdownGenerator(content_filter=prune_filter)
+
+    # Step 3: Pass it to CrawlerRunConfig
+    config = CrawlerRunConfig(
+        markdown_generator=md_generator
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com", 
+            config=config
+        )
+
+        if result.success:
+            # 'fit_markdown' is your pruned content, focusing on "denser" text
+            print("Raw Markdown length:", len(result.markdown.raw_markdown))
+            print("Fit Markdown length:", len(result.markdown.fit_markdown))
+        else:
+            print("Error:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+### 2.2 Key Parameters
+- **`min_word_threshold`** (int): If a block has fewer words than this, it’s pruned.  
+- **`threshold_type`** (str):
+  - `"fixed"` → each node must exceed `threshold` (0–1).  
+  - `"dynamic"` → node scoring adjusts according to tag type, text/link density, etc.  
+- **`threshold`** (float, default ~0.48): The base or “anchor” cutoff.  
+- **Link density** – Penalizes sections that are mostly links.  
+- **Tag importance** – e.g., an `<article>` or `<p>` might be more important than a `<div>`.  
+## 3. BM25ContentFilter
+### 3.1 Usage Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai.content_filter_strategy import BM25ContentFilter
+from crawl4ai.markdown_generation_strategy import DefaultMarkdownGenerator
+
+async def main():
+    # 1) A BM25 filter with a user query
+    bm25_filter = BM25ContentFilter(
+        user_query="startup fundraising tips",
+        # Adjust for stricter or looser results
+        bm25_threshold=1.2  
+    )
+
+    # 2) Insert into a Markdown Generator
+    md_generator = DefaultMarkdownGenerator(content_filter=bm25_filter)
+
+    # 3) Pass to crawler config
+    config = CrawlerRunConfig(
+        markdown_generator=md_generator
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com", 
+            config=config
+        )
+        if result.success:
+            print("Fit Markdown (BM25 query-based):")
+            print(result.markdown.fit_markdown)
+        else:
+            print("Error:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+### 3.2 Parameters
+- **`user_query`** (str, optional): E.g. `"machine learning"`. If blank, the filter tries to glean a query from page metadata.  
+- **`bm25_threshold`** (float, default 1.0):  
+  - Higher → fewer chunks but more relevant.  
+  - Lower → more inclusive.  
+> In more advanced scenarios, you might see parameters like `language`, `case_sensitive`, or `priority_tags` to refine how text is tokenized or weighted.
+## 4. Accessing the “Fit” Output
+After the crawl, your “fit” content is found in **`result.markdown.fit_markdown`**. 
+```python
+fit_md = result.markdown.fit_markdown
+fit_html = result.markdown.fit_html
+```
+If the content filter is **BM25**, you might see additional logic or references in `fit_markdown` that highlight relevant segments. If it’s **Pruning**, the text is typically well-cleaned but not necessarily matched to a query.
+## 5. Code Patterns Recap
+### 5.1 Pruning
+```python
+prune_filter = PruningContentFilter(
+    threshold=0.5,
+    threshold_type="fixed",
+    min_word_threshold=10
+)
+md_generator = DefaultMarkdownGenerator(content_filter=prune_filter)
+config = CrawlerRunConfig(markdown_generator=md_generator)
+```
+### 5.2 BM25
+```python
+bm25_filter = BM25ContentFilter(
+    user_query="health benefits fruit",
+    bm25_threshold=1.2
+)
+md_generator = DefaultMarkdownGenerator(content_filter=bm25_filter)
+config = CrawlerRunConfig(markdown_generator=md_generator)
+```
+## 6. Combining with “word_count_threshold” & Exclusions
+```python
+config = CrawlerRunConfig(
+    word_count_threshold=10,
+    excluded_tags=["nav", "footer", "header"],
+    exclude_external_links=True,
+    markdown_generator=DefaultMarkdownGenerator(
+        content_filter=PruningContentFilter(threshold=0.5)
+    )
+)
+```
+1. The crawler’s `excluded_tags` are removed from the HTML first.  
+3. The final “fit” content is generated in `result.markdown.fit_markdown`.
+## 7. Custom Filters
+If you need a different approach (like a specialized ML model or site-specific heuristics), you can create a new class inheriting from `RelevantContentFilter` and implement `filter_content(html)`. Then inject it into your **markdown generator**:
+```python
+from crawl4ai.content_filter_strategy import RelevantContentFilter
+
+class MyCustomFilter(RelevantContentFilter):
+    def filter_content(self, html, min_word_threshold=None):
+        # parse HTML, implement custom logic
+        return [block for block in ... if ... some condition...]
+
+```
+1. Subclass `RelevantContentFilter`.  
+2. Implement `filter_content(...)`.  
+3. Use it in your `DefaultMarkdownGenerator(content_filter=MyCustomFilter(...))`.
+## 8. Final Thoughts
+- **Summaries**: Quickly get the important text from a cluttered page.  
+- **Search**: Combine with **BM25** to produce content relevant to a query.  
+- **BM25ContentFilter**: Perfect for query-based extraction or searching.  
+- Combine with **`excluded_tags`, `exclude_external_links`, `word_count_threshold`** to refine your final “fit” text.  
+- Fit markdown ends up in **`result.markdown.fit_markdown`**; eventually **`result.markdown.fit_markdown`** in future versions.
+- Last Updated: 2025-01-01
+
+
+# Content Selection
+Crawl4AI provides multiple ways to **select**, **filter**, and **refine** the content from your crawls. Whether you need to target a specific CSS region, exclude entire tags, filter out external links, or remove certain domains and images, **`CrawlerRunConfig`** offers a wide range of parameters.
+## 1. CSS-Based Selection
+There are two ways to select content from a page: using `css_selector` or the more flexible `target_elements`.
+### 1.1 Using `css_selector`
+A straightforward way to **limit** your crawl results to a certain region of the page is **`css_selector`** in **`CrawlerRunConfig`**:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    config = CrawlerRunConfig(
+        # e.g., first 30 items from Hacker News
+        css_selector=".athing:nth-child(-n+30)"  
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com/newest", 
+            config=config
+        )
+        print("Partial HTML length:", len(result.cleaned_html))
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+**Result**: Only elements matching that selector remain in `result.cleaned_html`.
+### 1.2 Using `target_elements`
+The `target_elements` parameter provides more flexibility by allowing you to target **multiple elements** for content extraction while preserving the entire page context for other features:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    config = CrawlerRunConfig(
+        # Target article body and sidebar, but not other content
+        target_elements=["article.main-content", "aside.sidebar"]
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com/blog-post", 
+            config=config
+        )
+        print("Markdown focused on target elements")
+        print("Links from entire page still available:", len(result.links.get("internal", [])))
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+**Key difference**: With `target_elements`, the markdown generation and structural data extraction focus on those elements, but other page elements (like links, images, and tables) are still extracted from the entire page. This gives you fine-grained control over what appears in your markdown content while preserving full page context for link analysis and media collection.
+## 2. Content Filtering & Exclusions
+### 2.1 Basic Overview
+```python
+config = CrawlerRunConfig(
+    # Content thresholds
+    word_count_threshold=10,        # Minimum words per block
+
+    # Tag exclusions
+    excluded_tags=['form', 'header', 'footer', 'nav'],
+
+    # Link filtering
+    exclude_external_links=True,    
+    exclude_social_media_links=True,
+    # Block entire domains
+    exclude_domains=["adtrackers.com", "spammynews.org"],    
+    exclude_social_media_domains=["facebook.com", "twitter.com"],
+
+    # Media filtering
+    exclude_external_images=True
+)
+```
+- **`word_count_threshold`**: Ignores text blocks under X words. Helps skip trivial blocks like short nav or disclaimers.  
+- **`excluded_tags`**: Removes entire tags (`<form>`, `<header>`, `<footer>`, etc.).  
+- **Link Filtering**:  
+  - `exclude_external_links`: Strips out external links and may remove them from `result.links`.  
+  - `exclude_social_media_links`: Removes links pointing to known social media domains.  
+  - `exclude_domains`: A custom list of domains to block if discovered in links.  
+  - `exclude_social_media_domains`: A curated list (override or add to it) for social media sites.  
+- **Media Filtering**:  
+  - `exclude_external_images`: Discards images not hosted on the same domain as the main page (or its subdomains).
+By default in case you set `exclude_social_media_links=True`, the following social media domains are excluded:
+```python
+[
+    'facebook.com',
+    'twitter.com',
+    'x.com',
+    'linkedin.com',
+    'instagram.com',
+    'pinterest.com',
+    'tiktok.com',
+    'snapchat.com',
+    'reddit.com',
+]
+```
+### 2.2 Example Usage
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+
+async def main():
+    config = CrawlerRunConfig(
+        css_selector="main.content", 
+        word_count_threshold=10,
+        excluded_tags=["nav", "footer"],
+        exclude_external_links=True,
+        exclude_social_media_links=True,
+        exclude_domains=["ads.com", "spammytrackers.net"],
+        exclude_external_images=True,
+        cache_mode=CacheMode.BYPASS
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(url="https://news.ycombinator.com", config=config)
+        print("Cleaned HTML length:", len(result.cleaned_html))
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 3. Handling Iframes
+Some sites embed content in `<iframe>` tags. If you want that inline:
+```python
+config = CrawlerRunConfig(
+    # Merge iframe content into the final output
+    process_iframes=True,    
+    remove_overlay_elements=True
+)
+```
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    config = CrawlerRunConfig(
+        process_iframes=True,
+        remove_overlay_elements=True
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.org/iframe-demo", 
+            config=config
+        )
+        print("Iframe-merged length:", len(result.cleaned_html))
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 4. Structured Extraction Examples
+### 4.1 Pattern-Based with `JsonCssExtractionStrategy`
+```python
+import asyncio
+import json
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def main():
+    # Minimal schema for repeated items
+    schema = {
+        "name": "News Items",
+        "baseSelector": "tr.athing",
+        "fields": [
+            {"name": "title", "selector": "span.titleline a", "type": "text"},
+            {
+                "name": "link", 
+                "selector": "span.titleline a", 
+                "type": "attribute", 
+                "attribute": "href"
+            }
+        ]
+    }
+
+    config = CrawlerRunConfig(
+        # Content filtering
+        excluded_tags=["form", "header"],
+        exclude_domains=["adsite.com"],
+
+        # CSS selection or entire page
+        css_selector="table.itemlist",
+
+        # No caching for demonstration
+        cache_mode=CacheMode.BYPASS,
+
+        # Extraction strategy
+        extraction_strategy=JsonCssExtractionStrategy(schema)
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com/newest", 
+            config=config
+        )
+        data = json.loads(result.extracted_content)
+        print("Sample extracted item:", data[:1])  # Show first item
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+### 4.2 LLM-Based Extraction
+```python
+import asyncio
+import json
+from pydantic import BaseModel, Field
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, LLMConfig
+from crawl4ai import LLMExtractionStrategy
+
+class ArticleData(BaseModel):
+    headline: str
+    summary: str
+
+async def main():
+    llm_strategy = LLMExtractionStrategy(
+        llm_config = LLMConfig(provider="openai/gpt-4",api_token="sk-YOUR_API_KEY")
+        schema=ArticleData.schema(),
+        extraction_type="schema",
+        instruction="Extract 'headline' and a short 'summary' from the content."
+    )
+
+    config = CrawlerRunConfig(
+        exclude_external_links=True,
+        word_count_threshold=20,
+        extraction_strategy=llm_strategy
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(url="https://news.ycombinator.com", config=config)
+        article = json.loads(result.extracted_content)
+        print(article)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- Filters out external links (`exclude_external_links=True`).  
+- Ignores very short text blocks (`word_count_threshold=20`).  
+- Passes the final HTML to your LLM strategy for an AI-driven parse.
+## 5. Comprehensive Example
+```python
+import asyncio
+import json
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def extract_main_articles(url: str):
+    schema = {
+        "name": "ArticleBlock",
+        "baseSelector": "div.article-block",
+        "fields": [
+            {"name": "headline", "selector": "h2", "type": "text"},
+            {"name": "summary", "selector": ".summary", "type": "text"},
+            {
+                "name": "metadata",
+                "type": "nested",
+                "fields": [
+                    {"name": "author", "selector": ".author", "type": "text"},
+                    {"name": "date", "selector": ".date", "type": "text"}
+                ]
+            }
+        ]
+    }
+
+    config = CrawlerRunConfig(
+        # Keep only #main-content
+        css_selector="#main-content",
+
+        # Filtering
+        word_count_threshold=10,
+        excluded_tags=["nav", "footer"],  
+        exclude_external_links=True,
+        exclude_domains=["somebadsite.com"],
+        exclude_external_images=True,
+
+        # Extraction
+        extraction_strategy=JsonCssExtractionStrategy(schema),
+
+        cache_mode=CacheMode.BYPASS
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(url=url, config=config)
+        if not result.success:
+            print(f"Error: {result.error_message}")
+            return None
+        return json.loads(result.extracted_content)
+
+async def main():
+    articles = await extract_main_articles("https://news.ycombinator.com/newest")
+    if articles:
+        print("Extracted Articles:", articles[:2])  # Show first 2
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **CSS** scoping with `#main-content`.  
+- Multiple **exclude_** parameters to remove domains, external images, etc.  
+- A **JsonCssExtractionStrategy** to parse repeated article blocks.
+## 6. Scraping Modes
+Crawl4AI uses `LXMLWebScrapingStrategy` (LXML-based) as the default scraping strategy for HTML content processing. This strategy offers excellent performance, especially for large HTML documents.
+**Note:** For backward compatibility, `WebScrapingStrategy` is still available as an alias for `LXMLWebScrapingStrategy`.
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, LXMLWebScrapingStrategy
+
+async def main():
+    # Default configuration already uses LXMLWebScrapingStrategy
+    config = CrawlerRunConfig()
+
+    # Or explicitly specify it if desired
+    config_explicit = CrawlerRunConfig(
+        scraping_strategy=LXMLWebScrapingStrategy()
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com", 
+            config=config
+        )
+```
+You can also create your own custom scraping strategy by inheriting from `ContentScrapingStrategy`. The strategy must return a `ScrapingResult` object with the following structure:
+```python
+from crawl4ai import ContentScrapingStrategy, ScrapingResult, MediaItem, Media, Link, Links
+
+class CustomScrapingStrategy(ContentScrapingStrategy):
+    def scrap(self, url: str, html: str, **kwargs) -> ScrapingResult:
+        # Implement your custom scraping logic here
+        return ScrapingResult(
+            cleaned_html="<html>...</html>",  # Cleaned HTML content
+            success=True,                     # Whether scraping was successful
+            media=Media(
+                images=[                      # List of images found
+                    MediaItem(
+                        src="https://example.com/image.jpg",
+                        alt="Image description",
+                        desc="Surrounding text",
+                        score=1,
+                        type="image",
+                        group_id=1,
+                        format="jpg",
+                        width=800
+                    )
+                ],
+                videos=[],                    # List of videos (same structure as images)
+                audios=[]                     # List of audio files (same structure as images)
+            ),
+            links=Links(
+                internal=[                    # List of internal links
+                    Link(
+                        href="https://example.com/page",
+                        text="Link text",
+                        title="Link title",
+                        base_domain="example.com"
+                    )
+                ],
+                external=[]                   # List of external links (same structure)
+            ),
+            metadata={                        # Additional metadata
+                "title": "Page Title",
+                "description": "Page description"
+            }
+        )
+
+    async def ascrap(self, url: str, html: str, **kwargs) -> ScrapingResult:
+        # For simple cases, you can use the sync version
+        return await asyncio.to_thread(self.scrap, url, html, **kwargs)
+```
+### Performance Considerations
+- Fast processing of large HTML documents (especially >100KB)
+- Efficient memory usage
+- Good handling of well-formed HTML
+- Robust table detection and extraction
+### Backward Compatibility
+For users upgrading from earlier versions:
+- `WebScrapingStrategy` is now an alias for `LXMLWebScrapingStrategy`
+- Existing code using `WebScrapingStrategy` will continue to work without modification
+- No changes are required to your existing code
+## 7. Combining CSS Selection Methods
+You can combine `css_selector` and `target_elements` in powerful ways to achieve fine-grained control over your output:
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+
+async def main():
+    # Target specific content but preserve page context
+    config = CrawlerRunConfig(
+        # Focus markdown on main content and sidebar
+        target_elements=["#main-content", ".sidebar"],
+
+        # Global filters applied to entire page
+        excluded_tags=["nav", "footer", "header"],
+        exclude_external_links=True,
+
+        # Use basic content thresholds
+        word_count_threshold=15,
+
+        cache_mode=CacheMode.BYPASS
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com/article",
+            config=config
+        )
+
+        print(f"Content focuses on specific elements, but all links still analyzed")
+        print(f"Internal links: {len(result.links.get('internal', []))}")
+        print(f"External links: {len(result.links.get('external', []))}")
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- Links, images and other page data still give you the full context of the page
+- Content filtering still applies globally
+## 8. Conclusion
+By mixing **target_elements** or **css_selector** scoping, **content filtering** parameters, and advanced **extraction strategies**, you can precisely **choose** which data to keep. Key parameters in **`CrawlerRunConfig`** for content selection include:
+1. **`target_elements`** – Array of CSS selectors to focus markdown generation and data extraction, while preserving full page context for links and media.
+2. **`css_selector`** – Basic scoping to an element or region for all extraction processes.  
+3. **`word_count_threshold`** – Skip short blocks.  
+4. **`excluded_tags`** – Remove entire HTML tags.  
+5. **`exclude_external_links`**, **`exclude_social_media_links`**, **`exclude_domains`** – Filter out unwanted links or domains.  
+6. **`exclude_external_images`** – Remove images from external sources.  
+7. **`process_iframes`** – Merge iframe content if needed.  
+
+
+# Page Interaction
+1. Click “Load More” buttons  
+2. Fill forms and submit them  
+3. Wait for elements or data to appear  
+4. Reuse sessions across multiple steps  
+## 1. JavaScript Execution
+### Basic Execution
+**`js_code`** in **`CrawlerRunConfig`** accepts either a single JS string or a list of JS snippets.  
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    # Single JS command
+    config = CrawlerRunConfig(
+        js_code="window.scrollTo(0, document.body.scrollHeight);"
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com",  # Example site
+            config=config
+        )
+        print("Crawled length:", len(result.cleaned_html))
+
+    # Multiple commands
+    js_commands = [
+        "window.scrollTo(0, document.body.scrollHeight);",
+        # 'More' link on Hacker News
+        "document.querySelector('a.morelink')?.click();",  
+    ]
+    config = CrawlerRunConfig(js_code=js_commands)
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com",  # Another pass
+            config=config
+        )
+        print("After scroll+click, length:", len(result.cleaned_html))
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+**Relevant `CrawlerRunConfig` params**:
+- **`js_code`**: A string or list of strings with JavaScript to run after the page loads.
+- **`js_only`**: If set to `True` on subsequent calls, indicates we’re continuing an existing session without a new full navigation.  
+- **`session_id`**: If you want to keep the same page across multiple calls, specify an ID.
+## 2. Wait Conditions
+### 2.1 CSS-Based Waiting
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    config = CrawlerRunConfig(
+        # Wait for at least 30 items on Hacker News
+        wait_for="css:.athing:nth-child(30)"  
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com",
+            config=config
+        )
+        print("We have at least 30 items loaded!")
+        # Rough check
+        print("Total items in HTML:", result.cleaned_html.count("athing"))  
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`wait_for="css:..."`**: Tells the crawler to wait until that CSS selector is present.
+### 2.2 JavaScript-Based Waiting
+For more complex conditions (e.g., waiting for content length to exceed a threshold), prefix `js:`:
+```python
+wait_condition = """() => {
+    const items = document.querySelectorAll('.athing');
+    return items.length > 50;  // Wait for at least 51 items
+}"""
+
+config = CrawlerRunConfig(wait_for=f"js:{wait_condition}")
+```
+**Behind the Scenes**: Crawl4AI keeps polling the JS function until it returns `true` or a timeout occurs.
+## 3. Handling Dynamic Content
+### 3.1 Load More Example (Hacker News “More” Link)
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    # Step 1: Load initial Hacker News page
+    config = CrawlerRunConfig(
+        wait_for="css:.athing:nth-child(30)"  # Wait for 30 items
+    )
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://news.ycombinator.com",
+            config=config
+        )
+        print("Initial items loaded.")
+
+        # Step 2: Let's scroll and click the "More" link
+        load_more_js = [
+            "window.scrollTo(0, document.body.scrollHeight);",
+            # The "More" link at page bottom
+            "document.querySelector('a.morelink')?.click();"  
+        ]
+
+        next_page_conf = CrawlerRunConfig(
+            js_code=load_more_js,
+            wait_for="""js:() => {
+                return document.querySelectorAll('.athing').length > 30;
+            }""",
+            # Mark that we do not re-navigate, but run JS in the same session:
+            js_only=True,
+            session_id="hn_session"
+        )
+
+        # Re-use the same crawler session
+        result2 = await crawler.arun(
+            url="https://news.ycombinator.com",  # same URL but continuing session
+            config=next_page_conf
+        )
+        total_items = result2.cleaned_html.count("athing")
+        print("Items after load-more:", total_items)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`session_id="hn_session"`**: Keep the same page across multiple calls to `arun()`.
+- **`js_only=True`**: We’re not performing a full reload, just applying JS in the existing page.
+- **`wait_for`** with `js:`: Wait for item count to grow beyond 30.
+### 3.2 Form Interaction
+If the site has a search or login form, you can fill fields and submit them with **`js_code`**. For instance, if GitHub had a local search form:
+```python
+js_form_interaction = """
+document.querySelector('#your-search').value = 'TypeScript commits';
+document.querySelector('form').submit();
+"""
+
+config = CrawlerRunConfig(
+    js_code=js_form_interaction,
+    wait_for="css:.commit"
+)
+result = await crawler.arun(url="https://github.com/search", config=config)
+```
+## 4. Timing Control
+1. **`page_timeout`** (ms): Overall page load or script execution time limit.  
+2. **`delay_before_return_html`** (seconds): Wait an extra moment before capturing the final HTML.  
+3. **`mean_delay`** & **`max_range`**: If you call `arun_many()` with multiple URLs, these add a random pause between each request.
+```python
+config = CrawlerRunConfig(
+    page_timeout=60000,  # 60s limit
+    delay_before_return_html=2.5
+)
+```
+## 5. Multi-Step Interaction Example
+Below is a simplified script that does multiple “Load More” clicks on GitHub’s TypeScript commits page. It **re-uses** the same session to accumulate new commits each time. The code includes the relevant **`CrawlerRunConfig`** parameters you’d rely on.
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+
+async def multi_page_commits():
+    browser_cfg = BrowserConfig(
+        headless=False,  # Visible for demonstration
+        verbose=True
+    )
+    session_id = "github_ts_commits"
+
+    base_wait = """js:() => {
+        const commits = document.querySelectorAll('li.Box-sc-g0xbh4-0 h4');
+        return commits.length > 0;
+    }"""
+
+    # Step 1: Load initial commits
+    config1 = CrawlerRunConfig(
+        wait_for=base_wait,
+        session_id=session_id,
+        cache_mode=CacheMode.BYPASS,
+        # Not using js_only yet since it's our first load
+    )
+
+    async with AsyncWebCrawler(config=browser_cfg) as crawler:
+        result = await crawler.arun(
+            url="https://github.com/microsoft/TypeScript/commits/main",
+            config=config1
+        )
+        print("Initial commits loaded. Count:", result.cleaned_html.count("commit"))
+
+        # Step 2: For subsequent pages, we run JS to click 'Next Page' if it exists
+        js_next_page = """
+        const selector = 'a[data-testid="pagination-next-button"]';
+        const button = document.querySelector(selector);
+        if (button) button.click();
+        """
+
+        # Wait until new commits appear
+        wait_for_more = """js:() => {
+            const commits = document.querySelectorAll('li.Box-sc-g0xbh4-0 h4');
+            if (!window.firstCommit && commits.length>0) {
+                window.firstCommit = commits[0].textContent;
+                return false;
+            }
+            // If top commit changes, we have new commits
+            const topNow = commits[0]?.textContent.trim();
+            return topNow && topNow !== window.firstCommit;
+        }"""
+
+        for page in range(2):  # let's do 2 more "Next" pages
+            config_next = CrawlerRunConfig(
+                session_id=session_id,
+                js_code=js_next_page,
+                wait_for=wait_for_more,
+                js_only=True,       # We're continuing from the open tab
+                cache_mode=CacheMode.BYPASS
+            )
+            result2 = await crawler.arun(
+                url="https://github.com/microsoft/TypeScript/commits/main",
+                config=config_next
+            )
+            print(f"Page {page+2} commits count:", result2.cleaned_html.count("commit"))
+
+        # Optionally kill session
+        await crawler.crawler_strategy.kill_session(session_id)
+
+async def main():
+    await multi_page_commits()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`session_id`**: Keep the same page open.  
+- **`js_code`** + **`wait_for`** + **`js_only=True`**: We do partial refreshes, waiting for new commits to appear.  
+- **`cache_mode=CacheMode.BYPASS`** ensures we always see fresh data each step.
+## 6. Combine Interaction with Extraction
+Once dynamic content is loaded, you can attach an **`extraction_strategy`** (like `JsonCssExtractionStrategy` or `LLMExtractionStrategy`). For example:
+```python
+from crawl4ai import JsonCssExtractionStrategy
+
+schema = {
+    "name": "Commits",
+    "baseSelector": "li.Box-sc-g0xbh4-0",
+    "fields": [
+        {"name": "title", "selector": "h4.markdown-title", "type": "text"}
+    ]
+}
+config = CrawlerRunConfig(
+    session_id="ts_commits_session",
+    js_code=js_next_page,
+    wait_for=wait_for_more,
+    extraction_strategy=JsonCssExtractionStrategy(schema)
+)
+```
+When done, check `result.extracted_content` for the JSON.
+## 7. Relevant `CrawlerRunConfig` Parameters
+Below are the key interaction-related parameters in `CrawlerRunConfig`. For a full list, see [Configuration Parameters](../api/parameters.md).
+- **`js_code`**: JavaScript to run after initial load.  
+- **`js_only`**: If `True`, no new page navigation—only JS in the existing session.  
+- **`wait_for`**: CSS (`"css:..."`) or JS (`"js:..."`) expression to wait for.  
+- **`session_id`**: Reuse the same page across calls.  
+- **`cache_mode`**: Whether to read/write from the cache or bypass.  
+- **`remove_overlay_elements`**: Remove certain popups automatically.  
+- **`simulate_user`, `override_navigator`, `magic`**: Anti-bot or “human-like” interactions.
+## 8. Conclusion
+1. **Execute JavaScript** for scrolling, clicks, or form filling.  
+2. **Wait** for CSS or custom JS conditions before capturing data.  
+4. Combine with **structured extraction** for dynamic sites.
+## 9. Virtual Scrolling
+For sites that use **virtual scrolling** (where content is replaced rather than appended as you scroll, like Twitter or Instagram), Crawl4AI provides a dedicated `VirtualScrollConfig`:
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, VirtualScrollConfig
+
+async def crawl_twitter_timeline():
+    # Configure virtual scroll for Twitter-like feeds
+    virtual_config = VirtualScrollConfig(
+        container_selector="[data-testid='primaryColumn']",  # Twitter's main column
+        scroll_count=30,                # Scroll 30 times
+        scroll_by="container_height",   # Scroll by container height each time
+        wait_after_scroll=1.0          # Wait 1 second after each scroll
+    )
+
+    config = CrawlerRunConfig(
+        virtual_scroll_config=virtual_config
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://twitter.com/search?q=AI",
+            config=config
+        )
+        # result.html now contains ALL tweets from the virtual scroll
+```
+### Virtual Scroll vs JavaScript Scrolling
+| Feature | Virtual Scroll | JS Code Scrolling |
+|---------|---------------|-------------------|
+| **Use Case** | Content replaced during scroll | Content appended or simple scroll |
+| **Configuration** | `VirtualScrollConfig` object | `js_code` with scroll commands |
+| **Automatic Merging** | Yes - merges all unique content | No - captures final state only |
+| **Best For** | Twitter, Instagram, virtual tables | Traditional pages, load more buttons |
+
+
+# Link & Media 
+1. Extract links (internal, external) from crawled pages  
+2. Filter or exclude specific domains (e.g., social media or custom domains)  
+3. Access and ma### 3.2 Excluding Images
+```python
+crawler_cfg = CrawlerRunConfig(
+    exclude_external_images=True
+)
+```
+```python
+crawler_cfg = CrawlerRunConfig(
+    exclude_all_images=True
+)
+```
+- You don't need image data in your results
+- You're crawling image-heavy pages that cause memory issues
+- You want to focus only on text content
+4. Configure your crawler to exclude or prioritize certain images
+Below is a revised version of the **Link Extraction** and **Media Extraction** sections that includes example data structures showing how links and media items are stored in `CrawlResult`. Feel free to adjust any field names or descriptions to match your actual output.
+## 1. Link Extraction
+### 1.1 `result.links`
+When you call `arun()` or `arun_many()` on a URL, Crawl4AI automatically extracts links and stores them in the `links` field of `CrawlResult`. By default, the crawler tries to distinguish **internal** links (same domain) from **external** links (different domains).
+```python
+from crawl4ai import AsyncWebCrawler
+
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun("https://www.example.com")
+    if result.success:
+        internal_links = result.links.get("internal", [])
+        external_links = result.links.get("external", [])
+        print(f"Found {len(internal_links)} internal links.")
+        print(f"Found {len(internal_links)} external links.")
+        print(f"Found {len(result.media)} media items.")
+
+        # Each link is typically a dictionary with fields like:
+        # { "href": "...", "text": "...", "title": "...", "base_domain": "..." }
+        if internal_links:
+            print("Sample Internal Link:", internal_links[0])
+    else:
+        print("Crawl failed:", result.error_message)
+```
+```python
+result.links = {
+  "internal": [
+    {
+      "href": "https://kidocode.com/",
+      "text": "",
+      "title": "",
+      "base_domain": "kidocode.com"
+    },
+    {
+      "href": "https://kidocode.com/degrees/technology",
+      "text": "Technology Degree",
+      "title": "KidoCode Tech Program",
+      "base_domain": "kidocode.com"
+    },
+    # ...
+  ],
+  "external": [
+    # possibly other links leading to third-party sites
+  ]
+}
+```
+- **`href`**: The raw hyperlink URL.  
+- **`text`**: The link text (if any) within the `<a>` tag.  
+- **`title`**: The `title` attribute of the link (if present).  
+- **`base_domain`**: The domain extracted from `href`. Helpful for filtering or grouping by domain.
+## 2. Advanced Link Head Extraction & Scoring
+Ever wanted to not just extract links, but also get the actual content (title, description, metadata) from those linked pages? And score them for relevance? This is exactly what Link Head Extraction does - it fetches the `<head>` section from each discovered link and scores them using multiple algorithms.
+### 2.1 Why Link Head Extraction?
+1. **Fetching head content** from each link (title, description, meta tags)
+4. **Combining scores intelligently** to give you a final relevance ranking
+### 2.2 Complete Working Example
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai import LinkPreviewConfig
+
+async def extract_link_heads_example():
+    """
+    Complete example showing link head extraction with scoring.
+    This will crawl a documentation site and extract head content from internal links.
+    """
+
+    # Configure link head extraction
+    config = CrawlerRunConfig(
+        # Enable link head extraction with detailed configuration
+        link_preview_config=LinkPreviewConfig(
+            include_internal=True,           # Extract from internal links
+            include_external=False,          # Skip external links for this example
+            max_links=10,                   # Limit to 10 links for demo
+            concurrency=5,                  # Process 5 links simultaneously
+            timeout=10,                     # 10 second timeout per link
+            query="API documentation guide", # Query for contextual scoring
+            score_threshold=0.3,            # Only include links scoring above 0.3
+            verbose=True                    # Show detailed progress
+        ),
+        # Enable intrinsic scoring (URL quality, text relevance)
+        score_links=True,
+        # Keep output clean
+        only_text=True,
+        verbose=True
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        # Crawl a documentation site (great for testing)
+        result = await crawler.arun("https://docs.python.org/3/", config=config)
+
+        if result.success:
+            print(f"✅ Successfully crawled: {result.url}")
+            print(f"📄 Page title: {result.metadata.get('title', 'No title')}")
+
+            # Access links (now enhanced with head data and scores)
+            internal_links = result.links.get("internal", [])
+            external_links = result.links.get("external", [])
+
+            print(f"\n🔗 Found {len(internal_links)} internal links")
+            print(f"🌍 Found {len(external_links)} external links")
+
+            # Count links with head data
+            links_with_head = [link for link in internal_links 
+                             if link.get("head_data") is not None]
+            print(f"🧠 Links with head data extracted: {len(links_with_head)}")
+
+            # Show the top 3 scoring links
+            print(f"\n🏆 Top 3 Links with Full Scoring:")
+            for i, link in enumerate(links_with_head[:3]):
+                print(f"\n{i+1}. {link['href']}")
+                print(f"   Link Text: '{link.get('text', 'No text')[:50]}...'")
+
+                # Show all three score types
+                intrinsic = link.get('intrinsic_score')
+                contextual = link.get('contextual_score') 
+                total = link.get('total_score')
+
+                if intrinsic is not None:
+                    print(f"   📊 Intrinsic Score: {intrinsic:.2f}/10.0 (URL quality & context)")
+                if contextual is not None:
+                    print(f"   🎯 Contextual Score: {contextual:.3f} (BM25 relevance to query)")
+                if total is not None:
+                    print(f"   ⭐ Total Score: {total:.3f} (combined final score)")
+
+                # Show extracted head data
+                head_data = link.get("head_data", {})
+                if head_data:
+                    title = head_data.get("title", "No title")
+                    description = head_data.get("meta", {}).get("description", "No description")
+
+                    print(f"   📰 Title: {title[:60]}...")
+                    if description:
+                        print(f"   📝 Description: {description[:80]}...")
+
+                    # Show extraction status
+                    status = link.get("head_extraction_status", "unknown")
+                    print(f"   ✅ Extraction Status: {status}")
+        else:
+            print(f"❌ Crawl failed: {result.error_message}")
+
+# Run the example
+if __name__ == "__main__":
+    asyncio.run(extract_link_heads_example())
+```
+```
+✅ Successfully crawled: https://docs.python.org/3/
+📄 Page title: 3.13.5 Documentation
+🔗 Found 53 internal links
+🌍 Found 1 external links
+🧠 Links with head data extracted: 10
+
+🏆 Top 3 Links with Full Scoring:
+
+1. https://docs.python.org/3.15/
+   Link Text: 'Python 3.15 (in development)...'
+   📊 Intrinsic Score: 4.17/10.0 (URL quality & context)
+   🎯 Contextual Score: 1.000 (BM25 relevance to query)
+   ⭐ Total Score: 5.917 (combined final score)
+   📰 Title: 3.15.0a0 Documentation...
+   📝 Description: The official Python documentation...
+   ✅ Extraction Status: valid
+```
+### 2.3 Configuration Deep Dive
+The `LinkPreviewConfig` class supports these options:
+```python
+from crawl4ai import LinkPreviewConfig
+
+link_preview_config = LinkPreviewConfig(
+    # BASIC SETTINGS
+    verbose=True,                    # Show detailed logs (recommended for learning)
+
+    # LINK FILTERING
+    include_internal=True,           # Include same-domain links
+    include_external=True,           # Include different-domain links
+    max_links=50,                   # Maximum links to process (prevents overload)
+
+    # PATTERN FILTERING
+    include_patterns=[               # Only process links matching these patterns
+        "*/docs/*", 
+        "*/api/*", 
+        "*/reference/*"
+    ],
+    exclude_patterns=[               # Skip links matching these patterns
+        "*/login*",
+        "*/admin*"
+    ],
+
+    # PERFORMANCE SETTINGS
+    concurrency=10,                  # How many links to process simultaneously
+    timeout=5,                      # Seconds to wait per link
+
+    # RELEVANCE SCORING
+    query="machine learning API",    # Query for BM25 contextual scoring
+    score_threshold=0.3,            # Only include links above this score
+)
+```
+### 2.4 Understanding the Three Score Types
+```python
+# High intrinsic score indicators:
+# ✅ Clean URL structure (docs.python.org/api/reference)
+# ✅ Meaningful link text ("API Reference Guide")
+# ✅ Relevant to page context
+# ✅ Not buried deep in navigation
+
+# Low intrinsic score indicators:
+# ❌ Random URLs (site.com/x7f9g2h)
+# ❌ No link text or generic text ("Click here")
+# ❌ Unrelated to page content
+```
+Only available when you provide a `query`. Uses BM25 algorithm against head content:
+```python
+# Example: query = "machine learning tutorial"
+# High contextual score: Link to "Complete Machine Learning Guide"
+# Low contextual score: Link to "Privacy Policy"
+```
+```python
+# When both scores available: (intrinsic * 0.3) + (contextual * 0.7)
+# When only intrinsic: uses intrinsic score
+# When only contextual: uses contextual score
+# When neither: not calculated
+```
+### 2.5 Practical Use Cases
+```python
+async def research_assistant():
+    config = CrawlerRunConfig(
+        link_preview_config=LinkPreviewConfig(
+            include_internal=True,
+            include_external=True,
+            include_patterns=["*/docs/*", "*/tutorial/*", "*/guide/*"],
+            query="machine learning neural networks",
+            max_links=20,
+            score_threshold=0.5,  # Only high-relevance links
+            verbose=True
+        ),
+        score_links=True
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://scikit-learn.org/", config=config)
+
+        if result.success:
+            # Get high-scoring links
+            good_links = [link for link in result.links.get("internal", [])
+                         if link.get("total_score", 0) > 0.7]
+
+            print(f"🎯 Found {len(good_links)} highly relevant links:")
+            for link in good_links[:5]:
+                print(f"⭐ {link['total_score']:.3f} - {link['href']}")
+                print(f"   {link.get('head_data', {}).get('title', 'No title')}")
+```
+```python
+async def api_discovery():
+    config = CrawlerRunConfig(
+        link_preview_config=LinkPreviewConfig(
+            include_internal=True,
+            include_patterns=["*/api/*", "*/reference/*"],
+            exclude_patterns=["*/deprecated/*"],
+            max_links=100,
+            concurrency=15,
+            verbose=False  # Clean output
+        ),
+        score_links=True
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://docs.example-api.com/", config=config)
+
+        if result.success:
+            api_links = result.links.get("internal", [])
+
+            # Group by endpoint type
+            endpoints = {}
+            for link in api_links:
+                if link.get("head_data"):
+                    title = link["head_data"].get("title", "")
+                    if "GET" in title:
+                        endpoints.setdefault("GET", []).append(link)
+                    elif "POST" in title:
+                        endpoints.setdefault("POST", []).append(link)
+
+            for method, links in endpoints.items():
+                print(f"\n{method} Endpoints ({len(links)}):")
+                for link in links[:3]:
+                    print(f"  • {link['href']}")
+```
+```python
+async def quality_analysis():
+    config = CrawlerRunConfig(
+        link_preview_config=LinkPreviewConfig(
+            include_internal=True,
+            max_links=200,
+            concurrency=20,
+        ),
+        score_links=True
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://your-website.com/", config=config)
+
+        if result.success:
+            links = result.links.get("internal", [])
+
+            # Analyze intrinsic scores
+            scores = [link.get('intrinsic_score', 0) for link in links]
+            avg_score = sum(scores) / len(scores) if scores else 0
+
+            print(f"📊 Link Quality Analysis:")
+            print(f"   Average intrinsic score: {avg_score:.2f}/10.0")
+            print(f"   High quality links (>7.0): {len([s for s in scores if s > 7.0])}")
+            print(f"   Low quality links (<3.0): {len([s for s in scores if s < 3.0])}")
+
+            # Find problematic links
+            bad_links = [link for link in links 
+                        if link.get('intrinsic_score', 0) < 2.0]
+
+            if bad_links:
+                print(f"\n⚠️  Links needing attention:")
+                for link in bad_links[:5]:
+                    print(f"   {link['href']} (score: {link.get('intrinsic_score', 0):.1f})")
+```
+### 2.6 Performance Tips
+1. **Start Small**: Begin with `max_links: 10` to understand the feature
+2. **Use Patterns**: Filter with `include_patterns` to focus on relevant sections
+3. **Adjust Concurrency**: Higher concurrency = faster but more resource usage
+4. **Set Timeouts**: Use `timeout: 5` to prevent hanging on slow sites
+5. **Use Score Thresholds**: Filter out low-quality links with `score_threshold`
+### 2.7 Troubleshooting
+```python
+# Check your configuration:
+config = CrawlerRunConfig(
+    link_preview_config=LinkPreviewConfig(
+        verbose=True   # ← Enable to see what's happening
+    )
+)
+```
+```python
+# Make sure scoring is enabled:
+config = CrawlerRunConfig(
+    score_links=True,  # ← Enable intrinsic scoring
+    link_preview_config=LinkPreviewConfig(
+        query="your search terms"  # ← For contextual scoring
+    )
+)
+```
+```python
+# Optimize performance:
+link_preview_config = LinkPreviewConfig(
+    max_links=20,      # ← Reduce number
+    concurrency=10,    # ← Increase parallelism
+    timeout=3,         # ← Shorter timeout
+    include_patterns=["*/important/*"]  # ← Focus on key areas
+)
+```
+## 3. Domain Filtering
+Some websites contain hundreds of third-party or affiliate links. You can filter out certain domains at **crawl time** by configuring the crawler. The most relevant parameters in `CrawlerRunConfig` are:
+- **`exclude_external_links`**: If `True`, discard any link pointing outside the root domain.  
+- **`exclude_social_media_domains`**: Provide a list of social media platforms (e.g., `["facebook.com", "twitter.com"]`) to exclude from your crawl.  
+- **`exclude_social_media_links`**: If `True`, automatically skip known social platforms.  
+- **`exclude_domains`**: Provide a list of custom domains you want to exclude (e.g., `["spammyads.com", "tracker.net"]`).
+### 3.1 Example: Excluding External & Social Media Links
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
+
+async def main():
+    crawler_cfg = CrawlerRunConfig(
+        exclude_external_links=True,          # No links outside primary domain
+        exclude_social_media_links=True       # Skip recognized social media domains
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            "https://www.example.com",
+            config=crawler_cfg
+        )
+        if result.success:
+            print("[OK] Crawled:", result.url)
+            print("Internal links count:", len(result.links.get("internal", [])))
+            print("External links count:", len(result.links.get("external", [])))  
+            # Likely zero external links in this scenario
+        else:
+            print("[ERROR]", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+### 3.2 Example: Excluding Specific Domains
+If you want to let external links in, but specifically exclude a domain (e.g., `suspiciousads.com`), do this:
+```python
+crawler_cfg = CrawlerRunConfig(
+    exclude_domains=["suspiciousads.com"]
+)
+```
+## 4. Media Extraction
+### 4.1 Accessing `result.media`
+By default, Crawl4AI collects images, audio and video URLs it finds on the page. These are stored in `result.media`, a dictionary keyed by media type (e.g., `images`, `videos`, `audio`).
+**Note: Tables have been moved from `result.media["tables"]` to the new `result.tables` format for better organization and direct access.**
+```python
+if result.success:
+    # Get images
+    images_info = result.media.get("images", [])
+    print(f"Found {len(images_info)} images in total.")
+    for i, img in enumerate(images_info[:3]):  # Inspect just the first 3
+        print(f"[Image {i}] URL: {img['src']}")
+        print(f"           Alt text: {img.get('alt', '')}")
+        print(f"           Score: {img.get('score')}")
+        print(f"           Description: {img.get('desc', '')}\n")
+```
+```python
+result.media = {
+  "images": [
+    {
+      "src": "https://cdn.prod.website-files.com/.../Group%2089.svg",
+      "alt": "coding school for kids",
+      "desc": "Trial Class Degrees degrees All Degrees AI Degree Technology ...",
+      "score": 3,
+      "type": "image",
+      "group_id": 0,
+      "format": None,
+      "width": None,
+      "height": None
+    },
+    # ...
+  ],
+  "videos": [
+    # Similar structure but with video-specific fields
+  ],
+  "audio": [
+    # Similar structure but with audio-specific fields
+  ],
+}
+```
+- **`src`**: The media URL (e.g., image source)  
+- **`alt`**: The alt text for images (if present)  
+- **`desc`**: A snippet of nearby text or a short description (optional)  
+- **`score`**: A heuristic relevance score if you’re using content-scoring features  
+- **`width`**, **`height`**: If the crawler detects dimensions for the image/video  
+- **`type`**: Usually `"image"`, `"video"`, or `"audio"`  
+- **`group_id`**: If you’re grouping related media items, the crawler might assign an ID  
+### 4.2 Excluding External Images
+```python
+crawler_cfg = CrawlerRunConfig(
+    exclude_external_images=True
+)
+```
+### 4.3 Additional Media Config
+- **`screenshot`**: Set to `True` if you want a full-page screenshot stored as `base64` in `result.screenshot`.  
+- **`pdf`**: Set to `True` if you want a PDF version of the page in `result.pdf`.  
+- **`capture_mhtml`**: Set to `True` if you want an MHTML snapshot of the page in `result.mhtml`. This format preserves the entire web page with all its resources (CSS, images, scripts) in a single file, making it perfect for archiving or offline viewing.
+- **`wait_for_images`**: If `True`, attempts to wait until images are fully loaded before final extraction.
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async def main():
+    crawler_cfg = CrawlerRunConfig(
+        capture_mhtml=True  # Enable MHTML capture
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://example.com", config=crawler_cfg)
+
+        if result.success and result.mhtml:
+            # Save the MHTML snapshot to a file
+            with open("example.mhtml", "w", encoding="utf-8") as f:
+                f.write(result.mhtml)
+            print("MHTML snapshot saved to example.mhtml")
+        else:
+            print("Failed to capture MHTML:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- It captures the complete page state including all resources
+- It can be opened in most modern browsers for offline viewing
+- It preserves the page exactly as it appeared during crawling
+- It's a single file, making it easy to store and transfer
+## 5. Putting It All Together: Link & Media Filtering
+```python
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
+
+async def main():
+    # Suppose we want to keep only internal links, remove certain domains, 
+    # and discard external images from the final crawl data.
+    crawler_cfg = CrawlerRunConfig(
+        exclude_external_links=True,
+        exclude_domains=["spammyads.com"],
+        exclude_social_media_links=True,   # skip Twitter, Facebook, etc.
+        exclude_external_images=True,      # keep only images from main domain
+        wait_for_images=True,             # ensure images are loaded
+        verbose=True
+    )
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun("https://www.example.com", config=crawler_cfg)
+
+        if result.success:
+            print("[OK] Crawled:", result.url)
+
+            # 1. Links
+            in_links = result.links.get("internal", [])
+            ext_links = result.links.get("external", [])
+            print("Internal link count:", len(in_links))
+            print("External link count:", len(ext_links))  # should be zero with exclude_external_links=True
+
+            # 2. Images
+            images = result.media.get("images", [])
+            print("Images found:", len(images))
+
+            # Let's see a snippet of these images
+            for i, img in enumerate(images[:3]):
+                print(f"  - {img['src']} (alt={img.get('alt','')}, score={img.get('score','N/A')})")
+        else:
+            print("[ERROR] Failed to crawl. Reason:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 6. Common Pitfalls & Tips
+1. **Conflicting Flags**:  
+   - `exclude_external_links=True` but then also specifying `exclude_social_media_links=True` is typically fine, but understand that the first setting already discards *all* external links. The second becomes somewhat redundant.  
+   - `exclude_external_images=True` but want to keep some external images? Currently no partial domain-based setting for images, so you might need a custom approach or hook logic.
+2. **Relevancy Scores**:  
+   - If your version of Crawl4AI or your scraping strategy includes an `img["score"]`, it’s typically a heuristic based on size, position, or content analysis. Evaluate carefully if you rely on it.
+3. **Performance**:  
+4. **Social Media Lists**:  
+   - `exclude_social_media_links=True` typically references an internal list of known social domains like Facebook, Twitter, LinkedIn, etc. If you need to add or remove from that list, look for library settings or a local config file (depending on your version).
+
+
+
+# Extraction Strategies
+
+# Extracting JSON (No LLM)
+1. **Schema-based extraction** with CSS or XPath selectors via `JsonCssExtractionStrategy` and `JsonXPathExtractionStrategy`
+2. **Regular expression extraction** with `RegexExtractionStrategy` for fast pattern matching
+1. **Faster & Cheaper**: No API calls or GPU overhead.  
+## 1. Intro to Schema-Based Extraction
+3. **Nested** or **list** types for repeated or hierarchical structures.  
+## 2. Simple Example: Crypto Prices
+Let's begin with a **simple** schema-based extraction using the `JsonCssExtractionStrategy`. Below is a snippet that extracts cryptocurrency prices from a site (similar to the legacy Coinbase example). Notice we **don't** call any LLM:
+```python
+import json
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, CacheMode
+from crawl4ai import JsonCssExtractionStrategy
+
+async def extract_crypto_prices():
+    # 1. Define a simple extraction schema
+    schema = {
+        "name": "Crypto Prices",
+        "baseSelector": "div.crypto-row",    # Repeated elements
+        "fields": [
+            {
+                "name": "coin_name",
+                "selector": "h2.coin-name",
+                "type": "text"
+            },
+            {
+                "name": "price",
+                "selector": "span.coin-price",
+                "type": "text"
+            }
+        ]
+    }
+
+    # 2. Create the extraction strategy
+    extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
+
+    # 3. Set up your crawler config (if needed)
+    config = CrawlerRunConfig(
+        # e.g., pass js_code or wait_for if the page is dynamic
+        # wait_for="css:.crypto-row:nth-child(20)"
+        cache_mode = CacheMode.BYPASS,
+        extraction_strategy=extraction_strategy,
+    )
+
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        # 4. Run the crawl and extraction
+        result = await crawler.arun(
+            url="https://example.com/crypto-prices",
+
+            config=config
+        )
+
+        if not result.success:
+            print("Crawl failed:", result.error_message)
+            return
+
+        # 5. Parse the extracted JSON
+        data = json.loads(result.extracted_content)
+        print(f"Extracted {len(data)} coin entries")
+        print(json.dumps(data[0], indent=2) if data else "No data found")
+
+asyncio.run(extract_crypto_prices())
+```
+- **`baseSelector`**: Tells us where each "item" (crypto row) is.  
+- **`fields`**: Two fields (`coin_name`, `price`) using simple CSS selectors.  
+- Each field defines a **`type`** (e.g., `text`, `attribute`, `html`, `regex`, etc.).
+### **XPath Example with `raw://` HTML**
+Below is a short example demonstrating **XPath** extraction plus the **`raw://`** scheme. We'll pass a **dummy HTML** directly (no network request) and define the extraction strategy in `CrawlerRunConfig`.
+```python
+import json
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai import JsonXPathExtractionStrategy
+
+async def extract_crypto_prices_xpath():
+    # 1. Minimal dummy HTML with some repeating rows
+    dummy_html = """
+    <html>
+      <body>
+        <div class='crypto-row'>
+          <h2 class='coin-name'>Bitcoin</h2>
+          <span class='coin-price'>$28,000</span>
+        </div>
+        <div class='crypto-row'>
+          <h2 class='coin-name'>Ethereum</h2>
+          <span class='coin-price'>$1,800</span>
+        </div>
+      </body>
+    </html>
+    """
+
+    # 2. Define the JSON schema (XPath version)
+    schema = {
+        "name": "Crypto Prices via XPath",
+        "baseSelector": "//div[@class='crypto-row']",
+        "fields": [
+            {
+                "name": "coin_name",
+                "selector": ".//h2[@class='coin-name']",
+                "type": "text"
+            },
+            {
+                "name": "price",
+                "selector": ".//span[@class='coin-price']",
+                "type": "text"
+            }
+        ]
+    }
+
+    # 3. Place the strategy in the CrawlerRunConfig
+    config = CrawlerRunConfig(
+        extraction_strategy=JsonXPathExtractionStrategy(schema, verbose=True)
+    )
+
+    # 4. Use raw:// scheme to pass dummy_html directly
+    raw_url = f"raw://{dummy_html}"
+
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        result = await crawler.arun(
+            url=raw_url,
+            config=config
+        )
+
+        if not result.success:
+            print("Crawl failed:", result.error_message)
+            return
+
+        data = json.loads(result.extracted_content)
+        print(f"Extracted {len(data)} coin rows")
+        if data:
+            print("First item:", data[0])
+
+asyncio.run(extract_crypto_prices_xpath())
+```
+1. **`JsonXPathExtractionStrategy`** is used instead of `JsonCssExtractionStrategy`.  
+2. **`baseSelector`** and each field's `"selector"` use **XPath** instead of CSS.  
+3. **`raw://`** lets us pass `dummy_html` with no real network request—handy for local testing.  
+4. Everything (including the extraction strategy) is in **`CrawlerRunConfig`**.  
+That's how you keep the config self-contained, illustrate **XPath** usage, and demonstrate the **raw** scheme for direct HTML input—all while avoiding the old approach of passing `extraction_strategy` directly to `arun()`.
+## 3. Advanced Schema & Nested Structures
+### Sample E-Commerce HTML
+```
+https://gist.githubusercontent.com/githubusercontent/2d7b8ba3cd8ab6cf3c8da771ddb36878/raw/1ae2f90c6861ce7dd84cc50d3df9920dee5e1fd2/sample_ecommerce.html
+```
+```python
+schema = {
+    "name": "E-commerce Product Catalog",
+    "baseSelector": "div.category",
+    # (1) We can define optional baseFields if we want to extract attributes 
+    # from the category container
+    "baseFields": [
+        {"name": "data_cat_id", "type": "attribute", "attribute": "data-cat-id"}, 
+    ],
+    "fields": [
+        {
+            "name": "category_name",
+            "selector": "h2.category-name",
+            "type": "text"
+        },
+        {
+            "name": "products",
+            "selector": "div.product",
+            "type": "nested_list",    # repeated sub-objects
+            "fields": [
+                {
+                    "name": "name",
+                    "selector": "h3.product-name",
+                    "type": "text"
+                },
+                {
+                    "name": "price",
+                    "selector": "p.product-price",
+                    "type": "text"
+                },
+                {
+                    "name": "details",
+                    "selector": "div.product-details",
+                    "type": "nested",  # single sub-object
+                    "fields": [
+                        {
+                            "name": "brand",
+                            "selector": "span.brand",
+                            "type": "text"
+                        },
+                        {
+                            "name": "model",
+                            "selector": "span.model",
+                            "type": "text"
+                        }
+                    ]
+                },
+                {
+                    "name": "features",
+                    "selector": "ul.product-features li",
+                    "type": "list",
+                    "fields": [
+                        {"name": "feature", "type": "text"} 
+                    ]
+                },
+                {
+                    "name": "reviews",
+                    "selector": "div.review",
+                    "type": "nested_list",
+                    "fields": [
+                        {
+                            "name": "reviewer", 
+                            "selector": "span.reviewer", 
+                            "type": "text"
+                        },
+                        {
+                            "name": "rating", 
+                            "selector": "span.rating", 
+                            "type": "text"
+                        },
+                        {
+                            "name": "comment", 
+                            "selector": "p.review-text", 
+                            "type": "text"
+                        }
+                    ]
+                },
+                {
+                    "name": "related_products",
+                    "selector": "ul.related-products li",
+                    "type": "list",
+                    "fields": [
+                        {
+                            "name": "name", 
+                            "selector": "span.related-name", 
+                            "type": "text"
+                        },
+                        {
+                            "name": "price", 
+                            "selector": "span.related-price", 
+                            "type": "text"
+                        }
+                    ]
+                }
+            ]
+        }
+    ]
+}
+```
+- **Nested vs. List**:  
+  - **`type: "nested"`** means a **single** sub-object (like `details`).  
+  - **`type: "list"`** means multiple items that are **simple** dictionaries or single text fields.  
+  - **`type: "nested_list"`** means repeated **complex** objects (like `products` or `reviews`).
+- **Base Fields**: We can extract **attributes** from the container element via `"baseFields"`. For instance, `"data_cat_id"` might be `data-cat-id="elect123"`.  
+- **Transforms**: We can also define a `transform` if we want to lower/upper case, strip whitespace, or even run a custom function.
+### Running the Extraction
+```python
+import json
+import asyncio
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+from crawl4ai import JsonCssExtractionStrategy
+
+ecommerce_schema = {
+    # ... the advanced schema from above ...
+}
+
+async def extract_ecommerce_data():
+    strategy = JsonCssExtractionStrategy(ecommerce_schema, verbose=True)
+
+    config = CrawlerRunConfig()
+
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        result = await crawler.arun(
+            url="https://gist.githubusercontent.com/githubusercontent/2d7b8ba3cd8ab6cf3c8da771ddb36878/raw/1ae2f90c6861ce7dd84cc50d3df9920dee5e1fd2/sample_ecommerce.html",
+            extraction_strategy=strategy,
+            config=config
+        )
+
+        if not result.success:
+            print("Crawl failed:", result.error_message)
+            return
+
+        # Parse the JSON output
+        data = json.loads(result.extracted_content)
+        print(json.dumps(data, indent=2) if data else "No data found.")
+
+asyncio.run(extract_ecommerce_data())
+```
+If all goes well, you get a **structured** JSON array with each "category," containing an array of `products`. Each product includes `details`, `features`, `reviews`, etc. All of that **without** an LLM.
+## 4. RegexExtractionStrategy - Fast Pattern-Based Extraction
+Crawl4AI now offers a powerful new zero-LLM extraction strategy: `RegexExtractionStrategy`. This strategy provides lightning-fast extraction of common data types like emails, phone numbers, URLs, dates, and more using pre-compiled regular expressions.
+### Key Features
+- **Zero LLM Dependency**: Extracts data without any AI model calls
+- **Blazing Fast**: Uses pre-compiled regex patterns for maximum performance
+- **Built-in Patterns**: Includes ready-to-use patterns for common data types
+### Simple Example: Extracting Common Entities
+```python
+import json
+import asyncio
+from crawl4ai import (
+    AsyncWebCrawler,
+    CrawlerRunConfig,
+    RegexExtractionStrategy
+)
+
+async def extract_with_regex():
+    # Create a strategy using built-in patterns for URLs and currencies
+    strategy = RegexExtractionStrategy(
+        pattern = RegexExtractionStrategy.Url | RegexExtractionStrategy.Currency
+    )
+
+    config = CrawlerRunConfig(extraction_strategy=strategy)
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            config=config
+        )
+
+        if result.success:
+            data = json.loads(result.extracted_content)
+            for item in data[:5]:  # Show first 5 matches
+                print(f"{item['label']}: {item['value']}")
+            print(f"Total matches: {len(data)}")
+
+asyncio.run(extract_with_regex())
+```
+### Available Built-in Patterns
+`RegexExtractionStrategy` provides these common patterns as IntFlag attributes for easy combining:
+```python
+# Use individual patterns
+strategy = RegexExtractionStrategy(pattern=RegexExtractionStrategy.Email)
+
+# Combine multiple patterns
+strategy = RegexExtractionStrategy(
+    pattern = (
+        RegexExtractionStrategy.Email | 
+        RegexExtractionStrategy.PhoneUS | 
+        RegexExtractionStrategy.Url
+    )
+)
+
+# Use all available patterns
+strategy = RegexExtractionStrategy(pattern=RegexExtractionStrategy.All)
+```
+- `Email` - Email addresses
+- `PhoneIntl` - International phone numbers
+- `PhoneUS` - US-format phone numbers
+- `Url` - HTTP/HTTPS URLs
+- `IPv4` - IPv4 addresses
+- `IPv6` - IPv6 addresses
+- `Uuid` - UUIDs
+- `Currency` - Currency values (USD, EUR, etc.)
+- `Percentage` - Percentage values
+- `Number` - Numeric values
+- `DateIso` - ISO format dates
+- `DateUS` - US format dates
+- `Time24h` - 24-hour format times
+- `PostalUS` - US postal codes
+- `PostalUK` - UK postal codes
+- `HexColor` - HTML hex color codes
+- `TwitterHandle` - Twitter handles
+- `Hashtag` - Hashtags
+- `MacAddr` - MAC addresses
+- `Iban` - International bank account numbers
+- `CreditCard` - Credit card numbers
+### Custom Pattern Example
+```python
+import json
+import asyncio
+from crawl4ai import (
+    AsyncWebCrawler,
+    CrawlerRunConfig,
+    RegexExtractionStrategy
+)
+
+async def extract_prices():
+    # Define a custom pattern for US Dollar prices
+    price_pattern = {"usd_price": r"\$\s?\d{1,3}(?:,\d{3})*(?:\.\d{2})?"}
+
+    # Create strategy with custom pattern
+    strategy = RegexExtractionStrategy(custom=price_pattern)
+    config = CrawlerRunConfig(extraction_strategy=strategy)
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://www.example.com/products",
+            config=config
+        )
+
+        if result.success:
+            data = json.loads(result.extracted_content)
+            for item in data:
+                print(f"Found price: {item['value']}")
+
+asyncio.run(extract_prices())
+```
+### LLM-Assisted Pattern Generation
+```python
+import json
+import asyncio
+from pathlib import Path
+from crawl4ai import (
+    AsyncWebCrawler,
+    CrawlerRunConfig,
+    RegexExtractionStrategy,
+    LLMConfig
+)
+
+async def extract_with_generated_pattern():
+    cache_dir = Path("./pattern_cache")
+    cache_dir.mkdir(exist_ok=True)
+    pattern_file = cache_dir / "price_pattern.json"
+
+    # 1. Generate or load pattern
+    if pattern_file.exists():
+        pattern = json.load(pattern_file.open())
+        print(f"Using cached pattern: {pattern}")
+    else:
+        print("Generating pattern via LLM...")
+
+        # Configure LLM
+        llm_config = LLMConfig(
+            provider="openai/gpt-4o-mini",
+            api_token="env:OPENAI_API_KEY",
+        )
+
+        # Get sample HTML for context
+        async with AsyncWebCrawler() as crawler:
+            result = await crawler.arun("https://example.com/products")
+            html = result.fit_html
+
+        # Generate pattern (one-time LLM usage)
+        pattern = RegexExtractionStrategy.generate_pattern(
+            label="price",
+            html=html,
+            query="Product prices in USD format",
+            llm_config=llm_config,
+        )
+
+        # Cache pattern for future use
+        json.dump(pattern, pattern_file.open("w"), indent=2)
+
+    # 2. Use pattern for extraction (no LLM calls)
+    strategy = RegexExtractionStrategy(custom=pattern)
+    config = CrawlerRunConfig(extraction_strategy=strategy)
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com/products",
+            config=config
+        )
+
+        if result.success:
+            data = json.loads(result.extracted_content)
+            for item in data[:10]:
+                print(f"Extracted: {item['value']}")
+            print(f"Total matches: {len(data)}")
+
+asyncio.run(extract_with_generated_pattern())
+```
+1. Use an LLM once to generate a highly optimized regex for your specific site
+2. Save the pattern to disk for reuse 
+3. Extract data using only regex (no further LLM calls) in production
+### Extraction Results Format
+The `RegexExtractionStrategy` returns results in a consistent format:
+```json
+[
+  {
+    "url": "https://example.com",
+    "label": "email",
+    "value": "contact@example.com",
+    "span": [145, 163]
+  },
+  {
+    "url": "https://example.com",
+    "label": "url",
+    "value": "https://support.example.com",
+    "span": [210, 235]
+  }
+]
+```
+- `url`: The source URL
+- `label`: The pattern name that matched (e.g., "email", "phone_us")
+- `value`: The extracted text
+- `span`: The start and end positions in the source content
+## 5. Why "No LLM" Is Often Better
+## 6. Base Element Attributes & Additional Fields
+It's easy to **extract attributes** (like `href`, `src`, or `data-xxx`) from your base or nested elements using:
+```json
+{
+  "name": "href",
+  "type": "attribute",
+  "attribute": "href",
+  "default": null
+}
+```
+You can define them in **`baseFields`** (extracted from the main container element) or in each field's sub-lists. This is especially helpful if you need an item's link or ID stored in the parent `<div>`.
+## 7. Putting It All Together: Larger Example
+Consider a blog site. We have a schema that extracts the **URL** from each post card (via `baseFields` with an `"attribute": "href"`), plus the title, date, summary, and author:
+```python
+schema = {
+  "name": "Blog Posts",
+  "baseSelector": "a.blog-post-card",
+  "baseFields": [
+    {"name": "post_url", "type": "attribute", "attribute": "href"}
+  ],
+  "fields": [
+    {"name": "title", "selector": "h2.post-title", "type": "text", "default": "No Title"},
+    {"name": "date", "selector": "time.post-date", "type": "text", "default": ""},
+    {"name": "summary", "selector": "p.post-summary", "type": "text", "default": ""},
+    {"name": "author", "selector": "span.post-author", "type": "text", "default": ""}
+  ]
+}
+```
+Then run with `JsonCssExtractionStrategy(schema)` to get an array of blog post objects, each with `"post_url"`, `"title"`, `"date"`, `"summary"`, `"author"`.
+## 8. Tips & Best Practices
+3. **Test** your schema on partial HTML or a test page before a big crawl.  
+4. **Combine with JS Execution** if the site loads content dynamically. You can pass `js_code` or `wait_for` in `CrawlerRunConfig`.  
+5. **Look at Logs** when `verbose=True`: if your selectors are off or your schema is malformed, it'll often show warnings.  
+6. **Use baseFields** if you need attributes from the container element (e.g., `href`, `data-id`), especially for the "parent" item.  
+8. **Consider Using Regex First**: For simple data types like emails, URLs, and dates, `RegexExtractionStrategy` is often the fastest approach.
+## 9. Schema Generation Utility
+1. You're dealing with a new website structure and want a quick starting point
+2. You need to extract complex nested data structures
+3. You want to avoid the learning curve of CSS/XPath selector syntax
+### Using the Schema Generator
+The schema generator is available as a static method on both `JsonCssExtractionStrategy` and `JsonXPathExtractionStrategy`. You can choose between OpenAI's GPT-4 or the open-source Ollama for schema generation:
+```python
+from crawl4ai import JsonCssExtractionStrategy, JsonXPathExtractionStrategy
+from crawl4ai import LLMConfig
+
+# Sample HTML with product information
+html = """
+<div class="product-card">
+    <h2 class="title">Gaming Laptop</h2>
+    <div class="price">$999.99</div>
+    <div class="specs">
+        <ul>
+            <li>16GB RAM</li>
+            <li>1TB SSD</li>
+        </ul>
+    </div>
+</div>
+"""
+
+# Option 1: Using OpenAI (requires API token)
+css_schema = JsonCssExtractionStrategy.generate_schema(
+    html,
+    schema_type="css", 
+    llm_config = LLMConfig(provider="openai/gpt-4o",api_token="your-openai-token")
+)
+
+# Option 2: Using Ollama (open source, no token needed)
+xpath_schema = JsonXPathExtractionStrategy.generate_schema(
+    html,
+    schema_type="xpath",
+    llm_config = LLMConfig(provider="ollama/llama3.3", api_token=None)  # Not needed for Ollama
+)
+
+# Use the generated schema for fast, repeated extractions
+strategy = JsonCssExtractionStrategy(css_schema)
+```
+### LLM Provider Options
+1. **OpenAI GPT-4 (`openai/gpt4o`)**
+   - Default provider
+   - Requires an API token
+   - Generally provides more accurate schemas
+   - Set via environment variable: `OPENAI_API_KEY`
+2. **Ollama (`ollama/llama3.3`)**
+   - Open source alternative
+   - No API token required
+   - Self-hosted option
+   - Good for development and testing
+### Benefits of Schema Generation
+### Best Practices
+6. **Choose Provider Wisely**: 
+   - Use OpenAI for production-quality schemas
+   - Use Ollama for development, testing, or when you need a self-hosted solution
+## 10. Conclusion
+With Crawl4AI's LLM-free extraction strategies - `JsonCssExtractionStrategy`, `JsonXPathExtractionStrategy`, and now `RegexExtractionStrategy` - you can build powerful pipelines that:
+- Scrape any consistent site for structured data.  
+- Support nested objects, repeating lists, or pattern-based extraction.  
+- Scale to thousands of pages quickly and reliably.
+- Use **`RegexExtractionStrategy`** for fast extraction of common data types like emails, phones, URLs, dates, etc.
+- Use **`JsonCssExtractionStrategy`** or **`JsonXPathExtractionStrategy`** for structured data with clear HTML patterns
+
+
+# Extracting JSON (LLM)
+**Important**: LLM-based extraction can be slower and costlier than schema-based approaches. If your page data is highly structured, consider using [`JsonCssExtractionStrategy`](./no-llm-strategies.md) or [`JsonXPathExtractionStrategy`](./no-llm-strategies.md) first. But if you need AI to interpret or reorganize content, read on!
+## 1. Why Use an LLM?
+## 2. Provider-Agnostic via LiteLLM
+```python
+llmConfig = LlmConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
+```
+Crawl4AI uses a “provider string” (e.g., `"openai/gpt-4o"`, `"ollama/llama2.0"`, `"aws/titan"`) to identify your LLM. **Any** model that LiteLLM supports is fair game. You just provide:
+- **`provider`**: The `<provider>/<model_name>` identifier (e.g., `"openai/gpt-4"`, `"ollama/llama2"`, `"huggingface/google-flan"`, etc.).  
+- **`api_token`**: If needed (for OpenAI, HuggingFace, etc.); local models or Ollama might not require it.  
+- **`base_url`** (optional): If your provider has a custom endpoint.  
+## 3. How LLM Extraction Works
+### 3.1 Flow
+1. **Chunking** (optional): The HTML or markdown is split into smaller segments if it’s very long (based on `chunk_token_threshold`, overlap, etc.).  
+2. **Prompt Construction**: For each chunk, the library forms a prompt that includes your **`instruction`** (and possibly schema or examples).  
+4. **Combining**: The results from each chunk are merged and parsed into JSON.
+### 3.2 `extraction_type`
+- **`"schema"`**: The model tries to return JSON conforming to your Pydantic-based schema.  
+- **`"block"`**: The model returns freeform text, or smaller JSON structures, which the library collects.  
+For structured data, `"schema"` is recommended. You provide `schema=YourPydanticModel.model_json_schema()`.
+## 4. Key Parameters
+Below is an overview of important LLM extraction parameters. All are typically set inside `LLMExtractionStrategy(...)`. You then put that strategy in your `CrawlerRunConfig(..., extraction_strategy=...)`.
+1. **`llmConfig`** (LlmConfig): e.g., `"openai/gpt-4"`, `"ollama/llama2"`.    
+2. **`schema`** (dict): A JSON schema describing the fields you want. Usually generated by `YourModel.model_json_schema()`.  
+3. **`extraction_type`** (str): `"schema"` or `"block"`.  
+4. **`instruction`** (str): Prompt text telling the LLM what you want extracted. E.g., “Extract these fields as a JSON array.”  
+5. **`chunk_token_threshold`** (int): Maximum tokens per chunk. If your content is huge, you can break it up for the LLM.  
+6. **`overlap_rate`** (float): Overlap ratio between adjacent chunks. E.g., `0.1` means 10% of each chunk is repeated to preserve context continuity.  
+7. **`apply_chunking`** (bool): Set `True` to chunk automatically. If you want a single pass, set `False`.  
+8. **`input_format`** (str): Determines **which** crawler result is passed to the LLM. Options include:  
+   - `"markdown"`: The raw markdown (default).  
+   - `"fit_markdown"`: The filtered “fit” markdown if you used a content filter.  
+   - `"html"`: The cleaned or raw HTML.  
+9. **`extra_args`** (dict): Additional LLM parameters like `temperature`, `max_tokens`, `top_p`, etc.  
+10. **`show_usage()`**: A method you can call to print out usage info (token usage per chunk, total cost if known).  
+```python
+extraction_strategy = LLMExtractionStrategy(
+    llm_config = LLMConfig(provider="openai/gpt-4", api_token="YOUR_OPENAI_KEY"),
+    schema=MyModel.model_json_schema(),
+    extraction_type="schema",
+    instruction="Extract a list of items from the text with 'name' and 'price' fields.",
+    chunk_token_threshold=1200,
+    overlap_rate=0.1,
+    apply_chunking=True,
+    input_format="html",
+    extra_args={"temperature": 0.1, "max_tokens": 1000},
+    verbose=True
+)
+```
+## 5. Putting It in `CrawlerRunConfig`
+**Important**: In Crawl4AI, all strategy definitions should go inside the `CrawlerRunConfig`, not directly as a param in `arun()`. Here’s a full example:
+```python
+import os
+import asyncio
+import json
+from pydantic import BaseModel, Field
+from typing import List
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, LLMConfig
+from crawl4ai import LLMExtractionStrategy
+
+class Product(BaseModel):
+    name: str
+    price: str
+
+async def main():
+    # 1. Define the LLM extraction strategy
+    llm_strategy = LLMExtractionStrategy(
+        llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv('OPENAI_API_KEY')),
+        schema=Product.schema_json(), # Or use model_json_schema()
+        extraction_type="schema",
+        instruction="Extract all product objects with 'name' and 'price' from the content.",
+        chunk_token_threshold=1000,
+        overlap_rate=0.0,
+        apply_chunking=True,
+        input_format="markdown",   # or "html", "fit_markdown"
+        extra_args={"temperature": 0.0, "max_tokens": 800}
+    )
+
+    # 2. Build the crawler config
+    crawl_config = CrawlerRunConfig(
+        extraction_strategy=llm_strategy,
+        cache_mode=CacheMode.BYPASS
+    )
+
+    # 3. Create a browser config if needed
+    browser_cfg = BrowserConfig(headless=True)
+
+    async with AsyncWebCrawler(config=browser_cfg) as crawler:
+        # 4. Let's say we want to crawl a single page
+        result = await crawler.arun(
+            url="https://example.com/products",
+            config=crawl_config
+        )
+
+        if result.success:
+            # 5. The extracted content is presumably JSON
+            data = json.loads(result.extracted_content)
+            print("Extracted items:", data)
+
+            # 6. Show usage stats
+            llm_strategy.show_usage()  # prints token usage
+        else:
+            print("Error:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## 6. Chunking Details
+### 6.1 `chunk_token_threshold`
+If your page is large, you might exceed your LLM’s context window. **`chunk_token_threshold`** sets the approximate max tokens per chunk. The library calculates word→token ratio using `word_token_rate` (often ~0.75 by default). If chunking is enabled (`apply_chunking=True`), the text is split into segments.
+### 6.2 `overlap_rate`
+To keep context continuous across chunks, we can overlap them. E.g., `overlap_rate=0.1` means each subsequent chunk includes 10% of the previous chunk’s text. This is helpful if your needed info might straddle chunk boundaries.
+### 6.3 Performance & Parallelism
+## 7. Input Format
+By default, **LLMExtractionStrategy** uses `input_format="markdown"`, meaning the **crawler’s final markdown** is fed to the LLM. You can change to:
+- **`html`**: The cleaned HTML or raw HTML (depending on your crawler config) goes into the LLM.  
+- **`fit_markdown`**: If you used, for instance, `PruningContentFilter`, the “fit” version of the markdown is used. This can drastically reduce tokens if you trust the filter.  
+- **`markdown`**: Standard markdown output from the crawler’s `markdown_generator`.
+This setting is crucial: if the LLM instructions rely on HTML tags, pick `"html"`. If you prefer a text-based approach, pick `"markdown"`.
+```python
+LLMExtractionStrategy(
+    # ...
+    input_format="html",  # Instead of "markdown" or "fit_markdown"
+)
+```
+## 8. Token Usage & Show Usage
+- **`usages`** (list): token usage per chunk or call.  
+- **`total_usage`**: sum of all chunk calls.  
+- **`show_usage()`**: prints a usage report (if the provider returns usage data).
+```python
+llm_strategy = LLMExtractionStrategy(...)
+# ...
+llm_strategy.show_usage()
+# e.g. “Total usage: 1241 tokens across 2 chunk calls”
+```
+## 9. Example: Building a Knowledge Graph
+Below is a snippet combining **`LLMExtractionStrategy`** with a Pydantic schema for a knowledge graph. Notice how we pass an **`instruction`** telling the model what to parse.
+```python
+import os
+import json
+import asyncio
+from typing import List
+from pydantic import BaseModel, Field
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode, LLMConfig
+from crawl4ai import LLMExtractionStrategy
+
+class Entity(BaseModel):
+    name: str
+    description: str
+
+class Relationship(BaseModel):
+    entity1: Entity
+    entity2: Entity
+    description: str
+    relation_type: str
+
+class KnowledgeGraph(BaseModel):
+    entities: List[Entity]
+    relationships: List[Relationship]
+
+async def main():
+    # LLM extraction strategy
+    llm_strat = LLMExtractionStrategy(
+        llmConfig = LLMConfig(provider="openai/gpt-4", api_token=os.getenv('OPENAI_API_KEY')),
+        schema=KnowledgeGraph.model_json_schema(),
+        extraction_type="schema",
+        instruction="Extract entities and relationships from the content. Return valid JSON.",
+        chunk_token_threshold=1400,
+        apply_chunking=True,
+        input_format="html",
+        extra_args={"temperature": 0.1, "max_tokens": 1500}
+    )
+
+    crawl_config = CrawlerRunConfig(
+        extraction_strategy=llm_strat,
+        cache_mode=CacheMode.BYPASS
+    )
+
+    async with AsyncWebCrawler(config=BrowserConfig(headless=True)) as crawler:
+        # Example page
+        url = "https://www.nbcnews.com/business"
+        result = await crawler.arun(url=url, config=crawl_config)
+
+        print("--- LLM RAW RESPONSE ---")
+        print(result.extracted_content)
+        print("--- END LLM RAW RESPONSE ---")
+
+        if result.success:
+            with open("kb_result.json", "w", encoding="utf-8") as f:
+                f.write(result.extracted_content)
+            llm_strat.show_usage()
+        else:
+            print("Crawl failed:", result.error_message)
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+- **`extraction_type="schema"`** ensures we get JSON fitting our `KnowledgeGraph`.  
+- **`input_format="html"`** means we feed HTML to the model.  
+- **`instruction`** guides the model to output a structured knowledge graph.  
+## 10. Best Practices & Caveats
+4. **Schema Strictness**: `"schema"` extraction tries to parse the model output as JSON. If the model returns invalid JSON, partial extraction might happen, or you might get an error.  
+## 11. Conclusion
+- Put your LLM strategy **in `CrawlerRunConfig`**.  
+- Use **`input_format`** to pick which form (markdown, HTML, fit_markdown) the LLM sees.  
+- Tweak **`chunk_token_threshold`**, **`overlap_rate`**, and **`apply_chunking`** to handle large content efficiently.  
+- Monitor token usage with `show_usage()`.
+If your site’s data is consistent or repetitive, consider [`JsonCssExtractionStrategy`](./no-llm-strategies.md) first for speed and simplicity. But if you need an **AI-driven** approach, `LLMExtractionStrategy` offers a flexible, multi-provider solution for extracting structured JSON from any website.
+1. **Experiment with Different Providers**  
+   - Try switching the `provider` (e.g., `"ollama/llama2"`, `"openai/gpt-4o"`, etc.) to see differences in speed, accuracy, or cost.  
+   - Pass different `extra_args` like `temperature`, `top_p`, and `max_tokens` to fine-tune your results.
+2. **Performance Tuning**  
+   - If pages are large, tweak `chunk_token_threshold`, `overlap_rate`, or `apply_chunking` to optimize throughput.  
+   - Check the usage logs with `show_usage()` to keep an eye on token consumption and identify potential bottlenecks.
+3. **Validate Outputs**  
+   - If using `extraction_type="schema"`, parse the LLM’s JSON with a Pydantic model for a final validation step.  
+4. **Explore Hooks & Automation**  
+
+
+
+# Advanced Features
+
+# Session Management
+- **Performing JavaScript actions before and after crawling.**
+Use `BrowserConfig` and `CrawlerRunConfig` to maintain state with a `session_id`:
+```python
+from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
+
+async with AsyncWebCrawler() as crawler:
+    session_id = "my_session"
+
+    # Define configurations
+    config1 = CrawlerRunConfig(
+        url="https://example.com/page1", session_id=session_id
+    )
+    config2 = CrawlerRunConfig(
+        url="https://example.com/page2", session_id=session_id
+    )
+
+    # First request
+    result1 = await crawler.arun(config=config1)
+
+    # Subsequent request using the same session
+    result2 = await crawler.arun(config=config2)
+
+    # Clean up when done
+    await crawler.crawler_strategy.kill_session(session_id)
+```
+```python
+from crawl4ai.async_configs import CrawlerRunConfig
+from crawl4ai import JsonCssExtractionStrategy
+from crawl4ai.cache_context import CacheMode
+
+async def crawl_dynamic_content():
+    url = "https://github.com/microsoft/TypeScript/commits/main"
+    session_id = "wait_for_session"
+    all_commits = []
+
+    js_next_page = """
+    const commits = document.querySelectorAll('li[data-testid="commit-row-item"] h4');
+    if (commits.length > 0) {
+        window.lastCommit = commits[0].textContent.trim();
+    }
+    const button = document.querySelector('a[data-testid="pagination-next-button"]');
+    if (button) {button.click(); console.log('button clicked') }
+    """
+
+    wait_for = """() => {
+        const commits = document.querySelectorAll('li[data-testid="commit-row-item"] h4');
+        if (commits.length === 0) return false;
+        const firstCommit = commits[0].textContent.trim();
+        return firstCommit !== window.lastCommit;
+    }"""
+
+    schema = {
+        "name": "Commit Extractor",
+        "baseSelector": "li[data-testid='commit-row-item']",
+        "fields": [
+            {
+                "name": "title",
+                "selector": "h4 a",
+                "type": "text",
+                "transform": "strip",
+            },
+        ],
+    }
+    extraction_strategy = JsonCssExtractionStrategy(schema, verbose=True)
+
+    browser_config = BrowserConfig(
+        verbose=True,
+        headless=False,
+    )
+
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        for page in range(3):
+            crawler_config = CrawlerRunConfig(
+                session_id=session_id,
+                css_selector="li[data-testid='commit-row-item']",
+                extraction_strategy=extraction_strategy,
+                js_code=js_next_page if page > 0 else None,
+                wait_for=wait_for if page > 0 else None,
+                js_only=page > 0,
+                cache_mode=CacheMode.BYPASS,
+                capture_console_messages=True,
+            )
+
+            result = await crawler.arun(url=url, config=crawler_config)
+
+            if result.console_messages:
+                print(f"Page {page + 1} console messages:", result.console_messages)
+
+            if result.extracted_content:
+                # print(f"Page {page + 1} result:", result.extracted_content)
+                commits = json.loads(result.extracted_content)
+                all_commits.extend(commits)
+                print(f"Page {page + 1}: Found {len(commits)} commits")
+            else:
+                print(f"Page {page + 1}: No content extracted")
+
+        print(f"Successfully crawled {len(all_commits)} commits across 3 pages")
+        # Clean up session
+        await crawler.crawler_strategy.kill_session(session_id)
+```
+## Example 1: Basic Session-Based Crawling
+```python
+import asyncio
+from crawl4ai.async_configs import BrowserConfig, CrawlerRunConfig
+from crawl4ai.cache_context import CacheMode
+
+async def basic_session_crawl():
+    async with AsyncWebCrawler() as crawler:
+        session_id = "dynamic_content_session"
+        url = "https://example.com/dynamic-content"
+
+        for page in range(3):
+            config = CrawlerRunConfig(
+                url=url,
+                session_id=session_id,
+                js_code="document.querySelector('.load-more-button').click();" if page > 0 else None,
+                css_selector=".content-item",
+                cache_mode=CacheMode.BYPASS
+            )
+
+            result = await crawler.arun(config=config)
+            print(f"Page {page + 1}: Found {result.extracted_content.count('.content-item')} items")
+
+        await crawler.crawler_strategy.kill_session(session_id)
+
+asyncio.run(basic_session_crawl())
+```
+1. Reusing the same `session_id` across multiple requests.
+2. Executing JavaScript to load more content dynamically.
+3. Properly closing the session to free resources.
+## Advanced Technique 1: Custom Execution Hooks
+```python
+async def advanced_session_crawl_with_hooks():
+    first_commit = ""
+
+    async def on_execution_started(page):
+        nonlocal first_commit
+        try:
+            while True:
+                await page.wait_for_selector("li.commit-item h4")
+                commit = await page.query_selector("li.commit-item h4")
+                commit = await commit.evaluate("(element) => element.textContent").strip()
+                if commit and commit != first_commit:
+                    first_commit = commit
+                    break
+                await asyncio.sleep(0.5)
+        except Exception as e:
+            print(f"Warning: New content didn't appear: {e}")
+
+    async with AsyncWebCrawler() as crawler:
+        session_id = "commit_session"
+        url = "https://github.com/example/repo/commits/main"
+        crawler.crawler_strategy.set_hook("on_execution_started", on_execution_started)
+
+        js_next_page = """document.querySelector('a.pagination-next').click();"""
+
+        for page in range(3):
+            config = CrawlerRunConfig(
+                url=url,
+                session_id=session_id,
+                js_code=js_next_page if page > 0 else None,
+                css_selector="li.commit-item",
+                js_only=page > 0,
+                cache_mode=CacheMode.BYPASS
+            )
+
+            result = await crawler.arun(config=config)
+            print(f"Page {page + 1}: Found {len(result.extracted_content)} commits")
+
+        await crawler.crawler_strategy.kill_session(session_id)
+
+asyncio.run(advanced_session_crawl_with_hooks())
+```
+## Advanced Technique 2: Integrated JavaScript Execution and Waiting
+```python
+async def integrated_js_and_wait_crawl():
+    async with AsyncWebCrawler() as crawler:
+        session_id = "integrated_session"
+        url = "https://github.com/example/repo/commits/main"
+
+        js_next_page_and_wait = """
+        (async () => {
+            const getCurrentCommit = () => document.querySelector('li.commit-item h4').textContent.trim();
+            const initialCommit = getCurrentCommit();
+            document.querySelector('a.pagination-next').click();
+            while (getCurrentCommit() === initialCommit) {
+                await new Promise(resolve => setTimeout(resolve, 100));
+            }
+        })();
+        """
+
+        for page in range(3):
+            config = CrawlerRunConfig(
+                url=url,
+                session_id=session_id,
+                js_code=js_next_page_and_wait if page > 0 else None,
+                css_selector="li.commit-item",
+                js_only=page > 0,
+                cache_mode=CacheMode.BYPASS
+            )
+
+            result = await crawler.arun(config=config)
+            print(f"Page {page + 1}: Found {len(result.extracted_content)} commits")
+
+        await crawler.crawler_strategy.kill_session(session_id)
+
+asyncio.run(integrated_js_and_wait_crawl())
+```
+1. **Authentication Flows**: Login and interact with secured pages.
+2. **Pagination Handling**: Navigate through multiple pages.
+3. **Form Submissions**: Fill forms, submit, and process results.
+4. **Multi-step Processes**: Complete workflows that span multiple actions.
+
+
+# Hooks & Auth in AsyncWebCrawler
+1. **`on_browser_created`** – After browser creation.  
+2. **`on_page_context_created`** – After a new context & page are created.  
+3. **`before_goto`** – Just before navigating to a page.  
+4. **`after_goto`** – Right after navigation completes.  
+5. **`on_user_agent_updated`** – Whenever the user agent changes.  
+6. **`on_execution_started`** – Once custom JavaScript execution begins.  
+7. **`before_retrieve_html`** – Just before the crawler retrieves final HTML.  
+8. **`before_return_html`** – Right before returning the HTML content.
+**Important**: Avoid heavy tasks in `on_browser_created` since you don’t yet have a page context. If you need to *log in*, do so in **`on_page_context_created`**.
+> note "Important Hook Usage Warning"
+    **Avoid Misusing Hooks**: Do not manipulate page objects in the wrong hook or at the wrong time, as it can crash the pipeline or produce incorrect results. A common mistake is attempting to handle authentication prematurely—such as creating or closing pages in `on_browser_created`. 
+>   **Use the Right Hook for Auth**: If you need to log in or set tokens, use `on_page_context_created`. This ensures you have a valid page/context to work with, without disrupting the main crawling flow.
+## Example: Using Hooks in AsyncWebCrawler
+```python
+import asyncio
+import json
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode
+from playwright.async_api import Page, BrowserContext
+
+async def main():
+    print("🔗 Hooks Example: Demonstrating recommended usage")
+
+    # 1) Configure the browser
+    browser_config = BrowserConfig(
+        headless=True,
+        verbose=True
+    )
+
+    # 2) Configure the crawler run
+    crawler_run_config = CrawlerRunConfig(
+        js_code="window.scrollTo(0, document.body.scrollHeight);",
+        wait_for="body",
+        cache_mode=CacheMode.BYPASS
+    )
+
+    # 3) Create the crawler instance
+    crawler = AsyncWebCrawler(config=browser_config)
+
+    #
+    # Define Hook Functions
+    #
+
+    async def on_browser_created(browser, **kwargs):
+        # Called once the browser instance is created (but no pages or contexts yet)
+        print("[HOOK] on_browser_created - Browser created successfully!")
+        # Typically, do minimal setup here if needed
+        return browser
+
+    async def on_page_context_created(page: Page, context: BrowserContext, **kwargs):
+        # Called right after a new page + context are created (ideal for auth or route config).
+        print("[HOOK] on_page_context_created - Setting up page & context.")
+
+        # Example 1: Route filtering (e.g., block images)
+        async def route_filter(route):
+            if route.request.resource_type == "image":
+                print(f"[HOOK] Blocking image request: {route.request.url}")
+                await route.abort()
+            else:
+                await route.continue_()
+
+        await context.route("**", route_filter)
+
+        # Example 2: (Optional) Simulate a login scenario
+        # (We do NOT create or close pages here, just do quick steps if needed)
+        # e.g., await page.goto("https://example.com/login")
+        # e.g., await page.fill("input[name='username']", "testuser")
+        # e.g., await page.fill("input[name='password']", "password123")
+        # e.g., await page.click("button[type='submit']")
+        # e.g., await page.wait_for_selector("#welcome")
+        # e.g., await context.add_cookies([...])
+        # Then continue
+
+        # Example 3: Adjust the viewport
+        await page.set_viewport_size({"width": 1080, "height": 600})
+        return page
+
+    async def before_goto(
+        page: Page, context: BrowserContext, url: str, **kwargs
+    ):
+        # Called before navigating to each URL.
+        print(f"[HOOK] before_goto - About to navigate: {url}")
+        # e.g., inject custom headers
+        await page.set_extra_http_headers({
+            "Custom-Header": "my-value"
+        })
+        return page
+
+    async def after_goto(
+        page: Page, context: BrowserContext, 
+        url: str, response, **kwargs
+    ):
+        # Called after navigation completes.
+        print(f"[HOOK] after_goto - Successfully loaded: {url}")
+        # e.g., wait for a certain element if we want to verify
+        try:
+            await page.wait_for_selector('.content', timeout=1000)
+            print("[HOOK] Found .content element!")
+        except:
+            print("[HOOK] .content not found, continuing anyway.")
+        return page
+
+    async def on_user_agent_updated(
+        page: Page, context: BrowserContext, 
+        user_agent: str, **kwargs
+    ):
+        # Called whenever the user agent updates.
+        print(f"[HOOK] on_user_agent_updated - New user agent: {user_agent}")
+        return page
+
+    async def on_execution_started(page: Page, context: BrowserContext, **kwargs):
+        # Called after custom JavaScript execution begins.
+        print("[HOOK] on_execution_started - JS code is running!")
+        return page
+
+    async def before_retrieve_html(page: Page, context: BrowserContext, **kwargs):
+        # Called before final HTML retrieval.
+        print("[HOOK] before_retrieve_html - We can do final actions")
+        # Example: Scroll again
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+        return page
+
+    async def before_return_html(
+        page: Page, context: BrowserContext, html: str, **kwargs
+    ):
+        # Called just before returning the HTML in the result.
+        print(f"[HOOK] before_return_html - HTML length: {len(html)}")
+        return page
+
+    #
+    # Attach Hooks
+    #
+
+    crawler.crawler_strategy.set_hook("on_browser_created", on_browser_created)
+    crawler.crawler_strategy.set_hook(
+        "on_page_context_created", on_page_context_created
+    )
+    crawler.crawler_strategy.set_hook("before_goto", before_goto)
+    crawler.crawler_strategy.set_hook("after_goto", after_goto)
+    crawler.crawler_strategy.set_hook(
+        "on_user_agent_updated", on_user_agent_updated
+    )
+    crawler.crawler_strategy.set_hook(
+        "on_execution_started", on_execution_started
+    )
+    crawler.crawler_strategy.set_hook(
+        "before_retrieve_html", before_retrieve_html
+    )
+    crawler.crawler_strategy.set_hook(
+        "before_return_html", before_return_html
+    )
+
+    await crawler.start()
+
+    # 4) Run the crawler on an example page
+    url = "https://example.com"
+    result = await crawler.arun(url, config=crawler_run_config)
+
+    if result.success:
+        print("\nCrawled URL:", result.url)
+        print("HTML length:", len(result.html))
+    else:
+        print("Error:", result.error_message)
+
+    await crawler.close()
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+## Hook Lifecycle Summary
+1. **`on_browser_created`**:  
+   - Browser is up, but **no** pages or contexts yet.  
+   - Light setup only—don’t try to open or close pages here (that belongs in `on_page_context_created`).
+2. **`on_page_context_created`**:  
+   - Perfect for advanced **auth** or route blocking.  
+3. **`before_goto`**:  
+4. **`after_goto`**:  
+5. **`on_user_agent_updated`**:  
+   - Whenever the user agent changes (for stealth or different UA modes).
+6. **`on_execution_started`**:  
+   - If you set `js_code` or run custom scripts, this runs once your JS is about to start.
+7. **`before_retrieve_html`**:  
+8. **`before_return_html`**:  
+   - The last hook before returning HTML to the `CrawlResult`. Good for logging HTML length or minor modifications.
+## When to Handle Authentication
+**Recommended**: Use **`on_page_context_created`** if you need to:
+- Navigate to a login page or fill forms
+- Set cookies or localStorage tokens
+- Block resource routes to avoid ads
+This ensures the newly created context is under your control **before** `arun()` navigates to the main URL.
+## Additional Considerations
+- **Session Management**: If you want multiple `arun()` calls to reuse a single session, pass `session_id=` in your `CrawlerRunConfig`. Hooks remain the same.  
+- **Concurrency**: If you run `arun_many()`, each URL triggers these hooks in parallel. Ensure your hooks are thread/async-safe.
+## Conclusion
+- **Browser** creation (light tasks only)
+- **Page** and **context** creation (auth, route blocking)
+- **Navigation** phases
+- **Final HTML** retrieval
+- **Login** or advanced tasks in `on_page_context_created`  
+- **Custom headers** or logs in `before_goto` / `after_goto`  
+- **Scrolling** or final checks in `before_retrieve_html` / `before_return_html`
+
+
+
+---
+
+# Quick Reference
+
+## Core Imports
+```python
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerConfig, CacheMode
+from crawl4ai.extraction_strategy import LLMExtractionStrategy, JsonCssExtractionStrategy, CosineStrategy
+```
+
+## Basic Pattern
+```python
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun(url="https://example.com")
+    print(result.markdown)
+```
+
+## Advanced Pattern
+```python
+browser_config = BrowserConfig(headless=True, viewport_width=1920)
+crawler_config = CrawlerConfig(
+    cache_mode=CacheMode.BYPASS,
+    wait_for="css:.content",
+    screenshot=True,
+    pdf=True
+)
+strategy = LLMExtractionStrategy(
+    provider="openai/gpt-4",
+    instruction="Extract products with name and price"
+)
+
+async with AsyncWebCrawler(config=browser_config) as crawler:
+    result = await crawler.arun(
+        url="https://example.com",
+        config=crawler_config,
+        extraction_strategy=strategy
+    )
+```
+
+## Multi-URL Pattern
+```python
+urls = ["https://example.com/1", "https://example.com/2"]
+results = await crawler.arun_many(urls, config=crawler_config)
+```
+
+---
+
+**End of Crawl4AI SDK Documentation**
diff --git a/docs/md_v2/core/adaptive-crawling.md b/docs/md_v2/core/adaptive-crawling.md
index ea1674c2..6f05416d 100644
--- a/docs/md_v2/core/adaptive-crawling.md
+++ b/docs/md_v2/core/adaptive-crawling.md
@@ -108,7 +108,19 @@ config = AdaptiveConfig(
     embedding_min_confidence_threshold=0.1  # Stop if completely irrelevant
 )
 
-# With custom embedding provider (e.g., OpenAI)
+# With custom LLM provider for query expansion (recommended)
+from crawl4ai import LLMConfig
+
+config = AdaptiveConfig(
+    strategy="embedding",
+    embedding_llm_config=LLMConfig(
+        provider='openai/text-embedding-3-small',
+        api_token='your-api-key',
+        temperature=0.7
+    )
+)
+
+# Alternative: Dictionary format (backward compatible)
 config = AdaptiveConfig(
     strategy="embedding",
     embedding_llm_config={
diff --git a/docs/md_v2/core/deep-crawling.md b/docs/md_v2/core/deep-crawling.md
index 00834787..93760f23 100644
--- a/docs/md_v2/core/deep-crawling.md
+++ b/docs/md_v2/core/deep-crawling.md
@@ -472,6 +472,17 @@ Note that for BestFirstCrawlingStrategy, score_threshold is not needed since pag
 
 5.**Balance breadth vs. depth.** Choose your strategy wisely - BFS for comprehensive coverage, DFS for deep exploration, BestFirst for focused relevance-based crawling.
 
+6.**Preserve HTTPS for security.** If crawling HTTPS sites that redirect to HTTP, use `preserve_https_for_internal_links=True` to maintain secure connections:
+
+```python
+config = CrawlerRunConfig(
+    deep_crawl_strategy=BFSDeepCrawlStrategy(max_depth=2),
+    preserve_https_for_internal_links=True  # Keep HTTPS even if server redirects to HTTP
+)
+```
+
+This is especially useful for security-conscious crawling or when dealing with sites that support both protocols.
+
 ---
 
 ## 10. Summary & Next Steps
diff --git a/docs/md_v2/core/docker-deployment.md b/docs/md_v2/core/docker-deployment.md
index 6e9a9704..ec2c69a5 100644
--- a/docs/md_v2/core/docker-deployment.md
+++ b/docs/md_v2/core/docker-deployment.md
@@ -6,18 +6,6 @@
   - [Option 1: Using Pre-built Docker Hub Images (Recommended)](#option-1-using-pre-built-docker-hub-images-recommended)
   - [Option 2: Using Docker Compose](#option-2-using-docker-compose)
   - [Option 3: Manual Local Build & Run](#option-3-manual-local-build--run)
-- [Dockerfile Parameters](#dockerfile-parameters)
-- [Using the API](#using-the-api)
-  - [Playground Interface](#playground-interface)
-  - [Python SDK](#python-sdk)
-  - [Understanding Request Schema](#understanding-request-schema)
-  - [REST API Examples](#rest-api-examples)
-- [Additional API Endpoints](#additional-api-endpoints)
-  - [HTML Extraction Endpoint](#html-extraction-endpoint)
-  - [Screenshot Endpoint](#screenshot-endpoint)
-  - [PDF Export Endpoint](#pdf-export-endpoint)
-  - [JavaScript Execution Endpoint](#javascript-execution-endpoint)
-  - [Library Context Endpoint](#library-context-endpoint)
 - [MCP (Model Context Protocol) Support](#mcp-model-context-protocol-support)
   - [What is MCP?](#what-is-mcp)
   - [Connecting via MCP](#connecting-via-mcp)
@@ -25,9 +13,28 @@
   - [Available MCP Tools](#available-mcp-tools)
   - [Testing MCP Connections](#testing-mcp-connections)
   - [MCP Schemas](#mcp-schemas)
+- [Additional API Endpoints](#additional-api-endpoints)
+  - [HTML Extraction Endpoint](#html-extraction-endpoint)
+  - [Screenshot Endpoint](#screenshot-endpoint)
+  - [PDF Export Endpoint](#pdf-export-endpoint)
+  - [JavaScript Execution Endpoint](#javascript-execution-endpoint)
+- [User-Provided Hooks API](#user-provided-hooks-api)
+  - [Hook Information Endpoint](#hook-information-endpoint)
+  - [Available Hook Points](#available-hook-points)
+  - [Using Hooks in Requests](#using-hooks-in-requests)
+  - [Hook Examples with Real URLs](#hook-examples-with-real-urls)
+  - [Security Best Practices](#security-best-practices)
+  - [Hook Response Information](#hook-response-information)
+  - [Error Handling](#error-handling)
+  - [Hooks Utility: Function-Based Approach (Python)](#hooks-utility-function-based-approach-python)
+- [Dockerfile Parameters](#dockerfile-parameters)
+- [Using the API](#using-the-api)
+  - [Playground Interface](#playground-interface)
+  - [Python SDK](#python-sdk)
+  - [Understanding Request Schema](#understanding-request-schema)
+  - [REST API Examples](#rest-api-examples)
+  - [LLM Configuration Examples](#llm-configuration-examples)
 - [Metrics & Monitoring](#metrics--monitoring)
-- [Deployment Scenarios](#deployment-scenarios)
-- [Complete Examples](#complete-examples)
 - [Server Configuration](#server-configuration)
   - [Understanding config.yml](#understanding-configyml)
   - [JWT Authentication](#jwt-authentication)
@@ -58,13 +65,13 @@ Pull and run images directly from Docker Hub without building locally.
 
 #### 1. Pull the Image
 
-Our latest release is `0.7.3`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
+Our latest release is `0.7.6`. Images are built with multi-arch manifests, so Docker automatically pulls the correct version for your system.
 
-> 💡 **Note**: The `latest` tag points to the stable `0.7.3` version.
+> 💡 **Note**: The `latest` tag points to the stable `0.7.6` version.
 
 ```bash
 # Pull the latest version
-docker pull unclecode/crawl4ai:0.7.3
+docker pull unclecode/crawl4ai:0.7.6
 
 # Or pull using the latest tag
 docker pull unclecode/crawl4ai:latest
@@ -89,6 +96,16 @@ ANTHROPIC_API_KEY=your-anthropic-key
 # TOGETHER_API_KEY=your-together-key
 # MISTRAL_API_KEY=your-mistral-key
 # GEMINI_API_TOKEN=your-gemini-token
+
+# Optional: Global LLM settings
+# LLM_PROVIDER=openai/gpt-4o-mini
+# LLM_TEMPERATURE=0.7
+# LLM_BASE_URL=https://api.custom.com/v1
+
+# Optional: Provider-specific overrides
+# OPENAI_TEMPERATURE=0.5
+# OPENAI_BASE_URL=https://custom-openai.com/v1
+# ANTHROPIC_TEMPERATURE=0.3
 EOL
 ```
 > 🔑 **Note**: Keep your API keys secure! Never commit `.llm.env` to version control.
@@ -126,7 +143,7 @@ docker stop crawl4ai && docker rm crawl4ai
 #### Docker Hub Versioning Explained
 
 *   **Image Name:** `unclecode/crawl4ai`
-*   **Tag Format:** `LIBRARY_VERSION[-SUFFIX]` (e.g., `0.7.3`)
+*   **Tag Format:** `LIBRARY_VERSION[-SUFFIX]` (e.g., `0.7.6`)
     *   `LIBRARY_VERSION`: The semantic version of the core `crawl4ai` Python library
     *   `SUFFIX`: Optional tag for release candidates (``) and revisions (`r1`)
 *   **`latest` Tag:** Points to the most recent stable version
@@ -156,27 +173,43 @@ cp deploy/docker/.llm.env.example .llm.env
 
 **Flexible LLM Provider Configuration:**
 
-The Docker setup now supports flexible LLM provider configuration through three methods:
+The Docker setup now supports flexible LLM provider configuration through a hierarchical system:
 
-1. **Environment Variable** (Highest Priority): Set `LLM_PROVIDER` to override the default
-   ```bash
-   export LLM_PROVIDER="anthropic/claude-3-opus"
-   # Or in your .llm.env file:
-   # LLM_PROVIDER=anthropic/claude-3-opus
-   ```
-
-2. **API Request Parameter**: Specify provider per request
+1. **API Request Parameters** (Highest Priority): Specify per request
    ```json
    {
      "url": "https://example.com",
      "f": "llm",
-     "provider": "groq/mixtral-8x7b"
+     "provider": "groq/mixtral-8x7b",
+     "temperature": 0.7,
+     "base_url": "https://api.custom.com/v1"
    }
    ```
 
-3. **Config File Default**: Falls back to `config.yml` (default: `openai/gpt-4o-mini`)
+2. **Provider-Specific Environment Variables**: Override for specific providers
+   ```bash
+   # In your .llm.env file:
+   OPENAI_TEMPERATURE=0.5
+   OPENAI_BASE_URL=https://custom-openai.com/v1
+   ANTHROPIC_TEMPERATURE=0.3
+   ```
 
-The system automatically selects the appropriate API key based on the configured `api_key_env` in the config file.
+3. **Global Environment Variables**: Set defaults for all providers
+   ```bash
+   # In your .llm.env file:
+   LLM_PROVIDER=anthropic/claude-3-opus
+   LLM_TEMPERATURE=0.7
+   LLM_BASE_URL=https://api.proxy.com/v1
+   ```
+
+4. **Config File Default**: Falls back to `config.yml` (default: `openai/gpt-4o-mini`)
+
+The system automatically selects the appropriate API key based on the provider. LiteLLM handles finding the correct environment variable for each provider (e.g., OPENAI_API_KEY for OpenAI, GEMINI_API_TOKEN for Google Gemini, etc.).
+
+**Supported LLM Parameters:**
+- `provider`: LLM provider and model (e.g., "openai/gpt-4", "anthropic/claude-3-opus")
+- `temperature`: Controls randomness (0.0-2.0, lower = more focused, higher = more creative)
+- `base_url`: Custom API endpoint for proxy servers or alternative endpoints
 
 #### 3. Build and Run with Compose
 
@@ -405,6 +438,678 @@ Executes JavaScript snippets on the specified URL and returns the full crawl res
 
 ---
 
+## User-Provided Hooks API
+
+The Docker API supports user-provided hook functions, allowing you to customize the crawling behavior by injecting your own Python code at specific points in the crawling pipeline. This powerful feature enables authentication, performance optimization, and custom content extraction without modifying the server code.
+
+> ⚠️ **IMPORTANT SECURITY WARNING**: 
+> - **Never use hooks with untrusted code or on untrusted websites**
+> - **Be extremely careful when crawling sites that might be phishing or malicious**
+> - **Hook code has access to page context and can interact with the website**
+> - **Always validate and sanitize any data extracted through hooks**
+> - **Never expose credentials or sensitive data in hook code**
+> - **Consider running the Docker container in an isolated network when testing**
+
+### Hook Information Endpoint
+
+```
+GET /hooks/info
+```
+
+Returns information about available hook points and their signatures:
+
+```bash
+curl http://localhost:11235/hooks/info
+```
+
+### Available Hook Points
+
+The API supports 8 hook points that match the local SDK:
+
+| Hook Point | Parameters | Description | Best Use Cases |
+|------------|------------|-------------|----------------|
+| `on_browser_created` | `browser` | After browser instance creation | Light setup tasks |
+| `on_page_context_created` | `page, context` | After page/context creation | **Authentication, cookies, route blocking** |
+| `before_goto` | `page, context, url` | Before navigating to URL | Custom headers, logging |
+| `after_goto` | `page, context, url, response` | After navigation completes | Verification, waiting for elements |
+| `on_user_agent_updated` | `page, context, user_agent` | When user agent changes | UA-specific logic |
+| `on_execution_started` | `page, context` | When JS execution begins | JS-related setup |
+| `before_retrieve_html` | `page, context` | Before getting final HTML | **Scrolling, lazy loading** |
+| `before_return_html` | `page, context, html` | Before returning HTML | Final modifications, metrics |
+
+### Using Hooks in Requests
+
+Add hooks to any crawl request by including the `hooks` parameter:
+
+```json
+{
+  "urls": ["https://httpbin.org/html"],
+  "hooks": {
+    "code": {
+      "hook_point_name": "async def hook(...): ...",
+      "another_hook": "async def hook(...): ..."
+    },
+    "timeout": 30  // Optional, default 30 seconds (max 120)
+  }
+}
+```
+
+### Hook Examples with Real URLs
+
+#### 1. Authentication with Cookies (GitHub)
+
+```python
+import requests
+
+# Example: Setting GitHub session cookie (use your actual session)
+hooks_code = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Add authentication cookies for GitHub
+    # WARNING: Never hardcode real credentials!
+    await context.add_cookies([
+        {
+            'name': 'user_session',
+            'value': 'your_github_session_token',  # Replace with actual token
+            'domain': '.github.com',
+            'path': '/',
+            'httpOnly': True,
+            'secure': True,
+            'sameSite': 'Lax'
+        }
+    ])
+    return page
+"""
+}
+
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": ["https://github.com/settings/profile"],  # Protected page
+    "hooks": {"code": hooks_code, "timeout": 30}
+})
+```
+
+#### 2. Basic Authentication (httpbin.org for testing)
+
+```python
+# Safe testing with httpbin.org (a service designed for HTTP testing)
+hooks_code = {
+    "before_goto": """
+async def hook(page, context, url, **kwargs):
+    import base64
+    # httpbin.org/basic-auth expects username="user" and password="passwd"
+    credentials = base64.b64encode(b"user:passwd").decode('ascii')
+    
+    await page.set_extra_http_headers({
+        'Authorization': f'Basic {credentials}'
+    })
+    return page
+"""
+}
+
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": ["https://httpbin.org/basic-auth/user/passwd"],
+    "hooks": {"code": hooks_code, "timeout": 15}
+})
+```
+
+#### 3. Performance Optimization (News Sites)
+
+```python
+# Example: Optimizing crawling of news sites like CNN or BBC
+hooks_code = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Block images, fonts, and media to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
+    await context.route("**/*.{woff,woff2,ttf,otf,eot}", lambda route: route.abort())
+    await context.route("**/*.{mp4,webm,ogg,mp3,wav,flac}", lambda route: route.abort())
+    
+    # Block common tracking and ad domains
+    await context.route("**/googletagmanager.com/*", lambda route: route.abort())
+    await context.route("**/google-analytics.com/*", lambda route: route.abort())
+    await context.route("**/doubleclick.net/*", lambda route: route.abort())
+    await context.route("**/facebook.com/tr/*", lambda route: route.abort())
+    await context.route("**/amazon-adsystem.com/*", lambda route: route.abort())
+    
+    # Disable CSS animations for faster rendering
+    await page.add_style_tag(content='''
+        *, *::before, *::after {
+            animation-duration: 0s !important;
+            transition-duration: 0s !important;
+        }
+    ''')
+    
+    return page
+"""
+}
+
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": ["https://www.bbc.com/news"],  # Heavy news site
+    "hooks": {"code": hooks_code, "timeout": 30}
+})
+```
+
+#### 4. Handling Infinite Scroll (Twitter/X)
+
+```python
+# Example: Scrolling on Twitter/X (requires authentication)
+hooks_code = {
+    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Scroll to load more tweets
+    previous_height = 0
+    for i in range(5):  # Limit scrolls to avoid infinite loop
+        current_height = await page.evaluate("document.body.scrollHeight")
+        if current_height == previous_height:
+            break  # No more content to load
+            
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+        await page.wait_for_timeout(2000)  # Wait for content to load
+        previous_height = current_height
+    
+    return page
+"""
+}
+
+# Note: Twitter requires authentication for most content
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": ["https://twitter.com/nasa"],  # Public profile
+    "hooks": {"code": hooks_code, "timeout": 30}
+})
+```
+
+#### 5. E-commerce Login (Example Pattern)
+
+```python
+# SECURITY WARNING: This is a pattern example. 
+# Never use real credentials in code!
+# Always use environment variables or secure vaults.
+
+hooks_code = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Example pattern for e-commerce sites
+    # DO NOT use real credentials here!
+    
+    # Navigate to login page first
+    await page.goto("https://example-shop.com/login")
+    
+    # Wait for login form to load
+    await page.wait_for_selector("#email", timeout=5000)
+    
+    # Fill login form (use environment variables in production!)
+    await page.fill("#email", "test@example.com")  # Never use real email
+    await page.fill("#password", "test_password")   # Never use real password
+    
+    # Handle "Remember Me" checkbox if present
+    try:
+        await page.uncheck("#remember_me")  # Don't remember on shared systems
+    except:
+        pass
+    
+    # Submit form
+    await page.click("button[type='submit']")
+    
+    # Wait for redirect after login
+    await page.wait_for_url("**/account/**", timeout=10000)
+    
+    return page
+"""
+}
+```
+
+#### 6. Extracting Structured Data (Wikipedia)
+
+```python
+# Safe example using Wikipedia
+hooks_code = {
+    "after_goto": """
+async def hook(page, context, url, response, **kwargs):
+    # Wait for Wikipedia content to load
+    await page.wait_for_selector("#content", timeout=5000)
+    return page
+""",
+    
+    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Extract structured data from Wikipedia infobox
+    metadata = await page.evaluate('''() => {
+        const infobox = document.querySelector('.infobox');
+        if (!infobox) return null;
+        
+        const data = {};
+        const rows = infobox.querySelectorAll('tr');
+        
+        rows.forEach(row => {
+            const header = row.querySelector('th');
+            const value = row.querySelector('td');
+            if (header && value) {
+                data[header.innerText.trim()] = value.innerText.trim();
+            }
+        });
+        
+        return data;
+    }''')
+    
+    if metadata:
+        print("Extracted metadata:", metadata)
+    
+    return page
+"""
+}
+
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": ["https://en.wikipedia.org/wiki/Python_(programming_language)"],
+    "hooks": {"code": hooks_code, "timeout": 20}
+})
+```
+
+### Security Best Practices
+
+> 🔒 **Critical Security Guidelines**:
+
+1. **Never Trust User Input**: If accepting hook code from users, always validate and sandbox it
+2. **Avoid Phishing Sites**: Never use hooks on suspicious or unverified websites
+3. **Protect Credentials**: 
+   - Never hardcode passwords, tokens, or API keys in hook code
+   - Use environment variables or secure secret management
+   - Rotate credentials regularly
+4. **Network Isolation**: Run the Docker container in an isolated network when testing
+5. **Audit Hook Code**: Always review hook code before execution
+6. **Limit Permissions**: Use the least privileged access needed
+7. **Monitor Execution**: Check hook execution logs for suspicious behavior
+8. **Timeout Protection**: Always set reasonable timeouts (default 30s)
+
+### Hook Response Information
+
+When hooks are used, the response includes detailed execution information:
+
+```json
+{
+  "success": true,
+  "results": [...],
+  "hooks": {
+    "status": {
+      "status": "success",  // or "partial" or "failed"
+      "attached_hooks": ["on_page_context_created", "before_retrieve_html"],
+      "validation_errors": [],
+      "successfully_attached": 2,
+      "failed_validation": 0
+    },
+    "execution_log": [
+      {
+        "hook_point": "on_page_context_created",
+        "status": "success",
+        "execution_time": 0.523,
+        "timestamp": 1234567890.123
+      }
+    ],
+    "errors": [],  // Any runtime errors
+    "summary": {
+      "total_executions": 2,
+      "successful": 2,
+      "failed": 0,
+      "timed_out": 0,
+      "success_rate": 100.0
+    }
+  }
+}
+```
+
+### Error Handling
+
+The hooks system is designed to be resilient:
+
+1. **Validation Errors**: Caught before execution (syntax errors, wrong parameters)
+2. **Runtime Errors**: Handled gracefully - crawl continues with original page object
+3. **Timeout Protection**: Hooks automatically terminated after timeout (configurable 1-120s)
+
+### Complete Example: Safe Multi-Hook Crawling
+
+```python
+import requests
+import json
+import os
+
+# Safe example using httpbin.org for testing
+hooks_code = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Set viewport and test cookies
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    await context.add_cookies([
+        {"name": "test_cookie", "value": "test_value", "domain": ".httpbin.org", "path": "/"}
+    ])
+    
+    # Block unnecessary resources for httpbin
+    await context.route("**/*.{png,jpg,jpeg}", lambda route: route.abort())
+    return page
+""",
+    
+    "before_goto": """
+async def hook(page, context, url, **kwargs):
+    # Add custom headers for testing
+    await page.set_extra_http_headers({
+        "X-Test-Header": "crawl4ai-test",
+        "Accept-Language": "en-US,en;q=0.9"
+    })
+    print(f"[HOOK] Navigating to: {url}")
+    return page
+""",
+    
+    "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Simple scroll for any lazy-loaded content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+"""
+}
+
+# Make the request to safe testing endpoints
+response = requests.post("http://localhost:11235/crawl", json={
+    "urls": [
+        "https://httpbin.org/html",
+        "https://httpbin.org/json"
+    ],
+    "hooks": {
+        "code": hooks_code,
+        "timeout": 30
+    },
+    "crawler_config": {
+        "cache_mode": "bypass"
+    }
+})
+
+# Check results
+if response.status_code == 200:
+    data = response.json()
+    
+    # Check hook execution
+    if data['hooks']['status']['status'] == 'success':
+        print(f"✅ All {len(data['hooks']['status']['attached_hooks'])} hooks executed successfully")
+        print(f"Execution stats: {data['hooks']['summary']}")
+    
+    # Process crawl results
+    for result in data['results']:
+        print(f"Crawled: {result['url']} - Success: {result['success']}")
+else:
+    print(f"Error: {response.status_code}")
+```
+
+> 💡 **Remember**: Always test your hooks on safe, known websites first before using them on production sites. Never crawl sites that you don't have permission to access or that might be malicious.
+
+### Hooks Utility: Function-Based Approach (Python)
+
+For Python developers, Crawl4AI provides a more convenient way to work with hooks using the `hooks_to_string()` utility function and Docker client integration.
+
+#### Why Use Function-Based Hooks?
+
+**String-Based Approach (shown above)**:
+```python
+hooks_code = {
+    "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+"""
+}
+```
+
+**Function-Based Approach (recommended for Python)**:
+```python
+from crawl4ai import Crawl4aiDockerClient
+
+async def my_hook(page, context, **kwargs):
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+
+async with Crawl4aiDockerClient(base_url="http://localhost:11235") as client:
+    result = await client.crawl(
+        ["https://example.com"],
+        hooks={"on_page_context_created": my_hook}
+    )
+```
+
+**Benefits**:
+- ✅ Write hooks as regular Python functions
+- ✅ Full IDE support (autocomplete, syntax highlighting, type checking)
+- ✅ Easy to test and debug
+- ✅ Reusable hook libraries
+- ✅ Automatic conversion to API format
+
+#### Using the Hooks Utility
+
+The `hooks_to_string()` utility converts Python function objects to the string format required by the API:
+
+```python
+from crawl4ai import hooks_to_string
+
+# Define your hooks as functions
+async def setup_hook(page, context, **kwargs):
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    await context.add_cookies([{
+        "name": "session",
+        "value": "token",
+        "domain": ".example.com"
+    }])
+    return page
+
+async def scroll_hook(page, context, **kwargs):
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    return page
+
+# Convert to string format
+hooks_dict = {
+    "on_page_context_created": setup_hook,
+    "before_retrieve_html": scroll_hook
+}
+hooks_string = hooks_to_string(hooks_dict)
+
+# Now use with REST API or Docker client
+# hooks_string contains the string representations
+```
+
+#### Docker Client with Automatic Conversion
+
+The Docker client automatically detects and converts function objects:
+
+```python
+from crawl4ai import Crawl4aiDockerClient
+
+async def auth_hook(page, context, **kwargs):
+    """Add authentication cookies"""
+    await context.add_cookies([{
+        "name": "auth_token",
+        "value": "your_token",
+        "domain": ".example.com"
+    }])
+    return page
+
+async def performance_hook(page, context, **kwargs):
+    """Block unnecessary resources"""
+    await context.route("**/*.{png,jpg,gif}", lambda r: r.abort())
+    await context.route("**/analytics/*", lambda r: r.abort())
+    return page
+
+async with Crawl4aiDockerClient(base_url="http://localhost:11235") as client:
+    # Pass functions directly - automatic conversion!
+    result = await client.crawl(
+        ["https://example.com"],
+        hooks={
+            "on_page_context_created": performance_hook,
+            "before_goto": auth_hook
+        },
+        hooks_timeout=30  # Optional timeout in seconds (1-120)
+    )
+
+    print(f"Success: {result.success}")
+    print(f"HTML: {len(result.html)} chars")
+```
+
+#### Creating Reusable Hook Libraries
+
+Build collections of reusable hooks:
+
+```python
+# hooks_library.py
+class CrawlHooks:
+    """Reusable hook collection for common crawling tasks"""
+
+    @staticmethod
+    async def block_images(page, context, **kwargs):
+        """Block all images to speed up crawling"""
+        await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda r: r.abort())
+        return page
+
+    @staticmethod
+    async def block_analytics(page, context, **kwargs):
+        """Block analytics and tracking scripts"""
+        tracking_domains = [
+            "**/google-analytics.com/*",
+            "**/googletagmanager.com/*",
+            "**/facebook.com/tr/*",
+            "**/doubleclick.net/*"
+        ]
+        for domain in tracking_domains:
+            await context.route(domain, lambda r: r.abort())
+        return page
+
+    @staticmethod
+    async def scroll_infinite(page, context, **kwargs):
+        """Handle infinite scroll to load more content"""
+        previous_height = 0
+        for i in range(5):  # Max 5 scrolls
+            current_height = await page.evaluate("document.body.scrollHeight")
+            if current_height == previous_height:
+                break
+            await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+            await page.wait_for_timeout(1000)
+            previous_height = current_height
+        return page
+
+    @staticmethod
+    async def wait_for_dynamic_content(page, context, url, response, **kwargs):
+        """Wait for dynamic content to load"""
+        await page.wait_for_timeout(2000)
+        try:
+            # Click "Load More" if present
+            load_more = await page.query_selector('[class*="load-more"]')
+            if load_more:
+                await load_more.click()
+                await page.wait_for_timeout(1000)
+        except:
+            pass
+        return page
+
+# Use in your application
+from hooks_library import CrawlHooks
+from crawl4ai import Crawl4aiDockerClient
+
+async def crawl_with_optimizations(url):
+    async with Crawl4aiDockerClient() as client:
+        result = await client.crawl(
+            [url],
+            hooks={
+                "on_page_context_created": CrawlHooks.block_images,
+                "before_retrieve_html": CrawlHooks.scroll_infinite
+            }
+        )
+        return result
+```
+
+#### Choosing the Right Approach
+
+| Approach | Best For | IDE Support | Language |
+|----------|----------|-------------|----------|
+| **String-based** | Non-Python clients, REST APIs, other languages | ❌ None | Any |
+| **Function-based** | Python applications, local development | ✅ Full | Python only |
+| **Docker Client** | Python apps with automatic conversion | ✅ Full | Python only |
+
+**Recommendation**:
+- **Python applications**: Use Docker client with function objects (easiest)
+- **Non-Python or REST API**: Use string-based hooks (most flexible)
+- **Manual control**: Use `hooks_to_string()` utility (middle ground)
+
+#### Complete Example with Function Hooks
+
+```python
+from crawl4ai import Crawl4aiDockerClient, BrowserConfig, CrawlerRunConfig, CacheMode
+
+# Define hooks as regular Python functions
+async def setup_environment(page, context, **kwargs):
+    """Setup crawling environment"""
+    # Set viewport
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+
+    # Block resources for speed
+    await context.route("**/*.{png,jpg,gif}", lambda r: r.abort())
+
+    # Add custom headers
+    await page.set_extra_http_headers({
+        "Accept-Language": "en-US",
+        "X-Custom-Header": "Crawl4AI"
+    })
+
+    print("[HOOK] Environment configured")
+    return page
+
+async def extract_content(page, context, **kwargs):
+    """Extract and prepare content"""
+    # Scroll to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+
+    # Extract metadata
+    metadata = await page.evaluate('''() => ({
+        title: document.title,
+        links: document.links.length,
+        images: document.images.length
+    })''')
+
+    print(f"[HOOK] Page metadata: {metadata}")
+    return page
+
+async def main():
+    async with Crawl4aiDockerClient(base_url="http://localhost:11235", verbose=True) as client:
+        # Configure crawl
+        browser_config = BrowserConfig(headless=True)
+        crawler_config = CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
+
+        # Crawl with hooks
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            browser_config=browser_config,
+            crawler_config=crawler_config,
+            hooks={
+                "on_page_context_created": setup_environment,
+                "before_retrieve_html": extract_content
+            },
+            hooks_timeout=30
+        )
+
+        if result.success:
+            print(f"✅ Crawl successful!")
+            print(f"   URL: {result.url}")
+            print(f"   HTML: {len(result.html)} chars")
+            print(f"   Markdown: {len(result.markdown)} chars")
+        else:
+            print(f"❌ Crawl failed: {result.error_message}")
+
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(main())
+```
+
+#### Additional Resources
+
+- **Comprehensive Examples**: See `/docs/examples/hooks_docker_client_example.py` for Python function-based examples
+- **REST API Examples**: See `/docs/examples/hooks_rest_api_example.py` for string-based examples
+- **Comparison Guide**: See `/docs/examples/README_HOOKS.md` for detailed comparison
+- **Utility Documentation**: See `/docs/hooks-utility-guide.md` for complete guide
+
+---
+
 ## Dockerfile Parameters
 
 You can customize the image build process using build arguments (`--build-arg`). These are typically used via `docker buildx build` or within the `docker-compose.yml` file.
@@ -463,10 +1168,12 @@ This is the easiest way to translate Python configuration to JSON requests when
 
 Install the SDK: `pip install crawl4ai`
 
+The Python SDK provides a convenient way to interact with the Docker API, including **automatic hook conversion** when using function objects.
+
 ```python
 import asyncio
 from crawl4ai.docker_client import Crawl4aiDockerClient
-from crawl4ai import BrowserConfig, CrawlerRunConfig, CacheMode # Assuming you have crawl4ai installed
+from crawl4ai import BrowserConfig, CrawlerRunConfig, CacheMode
 
 async def main():
     # Point to the correct server port
@@ -478,23 +1185,22 @@ async def main():
         print("--- Running Non-Streaming Crawl ---")
         results = await client.crawl(
             ["https://httpbin.org/html"],
-            browser_config=BrowserConfig(headless=True), # Use library classes for config aid
+            browser_config=BrowserConfig(headless=True),
             crawler_config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS)
         )
-        if results: # client.crawl returns None on failure
-          print(f"Non-streaming results success: {results.success}")
-          if results.success:
-              for result in results: # Iterate through the CrawlResultContainer
-                  print(f"URL: {result.url}, Success: {result.success}")
+        if results:
+            print(f"Non-streaming results success: {results.success}")
+            if results.success:
+                for result in results:
+                    print(f"URL: {result.url}, Success: {result.success}")
         else:
             print("Non-streaming crawl failed.")
 
-
         # Example Streaming crawl
         print("\n--- Running Streaming Crawl ---")
         stream_config = CrawlerRunConfig(stream=True, cache_mode=CacheMode.BYPASS)
         try:
-            async for result in await client.crawl( # client.crawl returns an async generator for streaming
+            async for result in await client.crawl(
                 ["https://httpbin.org/html", "https://httpbin.org/links/5/0"],
                 browser_config=BrowserConfig(headless=True),
                 crawler_config=stream_config
@@ -503,17 +1209,56 @@ async def main():
         except Exception as e:
             print(f"Streaming crawl failed: {e}")
 
+        # Example with hooks (Python function objects)
+        print("\n--- Crawl with Hooks ---")
+
+        async def my_hook(page, context, **kwargs):
+            """Custom hook to optimize performance"""
+            await page.set_viewport_size({"width": 1920, "height": 1080})
+            await context.route("**/*.{png,jpg}", lambda r: r.abort())
+            print("[HOOK] Page optimized")
+            return page
+
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            browser_config=BrowserConfig(headless=True),
+            crawler_config=CrawlerRunConfig(cache_mode=CacheMode.BYPASS),
+            hooks={"on_page_context_created": my_hook},  # Pass function directly!
+            hooks_timeout=30
+        )
+        print(f"Crawl with hooks success: {result.success}")
 
         # Example Get schema
         print("\n--- Getting Schema ---")
         schema = await client.get_schema()
-        print(f"Schema received: {bool(schema)}") # Print whether schema was received
+        print(f"Schema received: {bool(schema)}")
 
 if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-*(SDK parameters like timeout, verify_ssl etc. remain the same)*
+#### SDK Parameters
+
+The Docker client supports the following parameters:
+
+**Client Initialization**:
+- `base_url` (str): URL of the Docker server (default: `http://localhost:8000`)
+- `timeout` (float): Request timeout in seconds (default: 30.0)
+- `verify_ssl` (bool): Verify SSL certificates (default: True)
+- `verbose` (bool): Enable verbose logging (default: True)
+- `log_file` (Optional[str]): Path to log file (default: None)
+
+**crawl() Method**:
+- `urls` (List[str]): List of URLs to crawl
+- `browser_config` (Optional[BrowserConfig]): Browser configuration
+- `crawler_config` (Optional[CrawlerRunConfig]): Crawler configuration
+- `hooks` (Optional[Dict]): Hook functions or strings - **automatically converts function objects!**
+- `hooks_timeout` (int): Timeout for each hook execution in seconds (default: 30)
+
+**Returns**:
+- Single URL: `CrawlResult` object
+- Multiple URLs: `List[CrawlResult]`
+- Streaming: `AsyncGenerator[CrawlResult]`
 
 ### Second Approach: Direct API Calls
 
@@ -555,6 +1300,101 @@ Crucially, when sending configurations directly via JSON, they **must** follow t
 **LLM Extraction Strategy** *(Keep example, ensure schema uses type/value wrapper)*
 *(Keep Deep Crawler Example)*
 
+### LLM Configuration Examples
+
+The Docker API supports dynamic LLM configuration through multiple levels:
+
+#### Temperature Control
+
+Temperature affects the randomness of LLM responses (0.0 = deterministic, 2.0 = very creative):
+
+```python
+import requests
+
+# Low temperature for factual extraction
+response = requests.post(
+    "http://localhost:11235/md",
+    json={
+        "url": "https://example.com",
+        "f": "llm",
+        "q": "Extract all dates and numbers from this page",
+        "temperature": 0.2  # Very focused, deterministic
+    }
+)
+
+# High temperature for creative tasks
+response = requests.post(
+    "http://localhost:11235/md",
+    json={
+        "url": "https://example.com", 
+        "f": "llm",
+        "q": "Write a creative summary of this content",
+        "temperature": 1.2  # More creative, varied responses
+    }
+)
+```
+
+#### Custom API Endpoints
+
+Use custom base URLs for proxy servers or alternative API endpoints:
+
+```python
+
+# Using a local LLM server
+response = requests.post(
+    "http://localhost:11235/md",
+    json={
+        "url": "https://example.com",
+        "f": "llm",
+        "q": "Extract key information",
+        "provider": "ollama/llama2",
+        "base_url": "http://localhost:11434/v1"
+    }
+)
+```
+
+#### Dynamic Provider Selection
+
+Switch between providers based on task requirements:
+
+```python
+async def smart_extraction(url: str, content_type: str):
+    """Select provider and temperature based on content type"""
+    
+    configs = {
+        "technical": {
+            "provider": "openai/gpt-4",
+            "temperature": 0.3,
+            "query": "Extract technical specifications and code examples"
+        },
+        "creative": {
+            "provider": "anthropic/claude-3-opus",
+            "temperature": 0.9,
+            "query": "Create an engaging narrative summary"
+        },
+        "quick": {
+            "provider": "groq/mixtral-8x7b",
+            "temperature": 0.5,
+            "query": "Quick summary in bullet points"
+        }
+    }
+    
+    config = configs.get(content_type, configs["quick"])
+    
+    response = await httpx.post(
+        "http://localhost:11235/md",
+        json={
+            "url": url,
+            "f": "llm",
+            "q": config["query"],
+            "provider": config["provider"],
+            "temperature": config["temperature"]
+        }
+    )
+    
+    return response.json()
+```
+
 ### REST API Examples
 
 Update URLs to use port `11235`.
@@ -693,8 +1533,8 @@ app:
 # Default LLM Configuration
 llm:
   provider: "openai/gpt-4o-mini"  # Can be overridden by LLM_PROVIDER env var
-  api_key_env: "OPENAI_API_KEY"
-  # api_key: sk-...  # If you pass the API key directly then api_key_env will be ignored
+  # api_key: sk-...  # If you pass the API key directly (not recommended)
+  # temperature and base_url are controlled via environment variables or request parameters
 
 # Redis Configuration (Used by internal Redis server managed by supervisord)
 redis:
@@ -828,19 +1668,40 @@ We're here to help you succeed with Crawl4AI! Here's how to get support:
 
 In this guide, we've covered everything you need to get started with Crawl4AI's Docker deployment:
 - Building and running the Docker container
-- Configuring the environment  
+- Configuring the environment
 - Using the interactive playground for testing
 - Making API requests with proper typing
-- Using the Python SDK
+- Using the Python SDK with **automatic hook conversion**
+- **Working with hooks** - both string-based (REST API) and function-based (Python SDK)
 - Leveraging specialized endpoints for screenshots, PDFs, and JavaScript execution
 - Connecting via the Model Context Protocol (MCP)
 - Monitoring your deployment
 
-The new playground interface at `http://localhost:11235/playground` makes it much easier to test configurations and generate the corresponding JSON for API requests.
+### Key Features
 
-For AI application developers, the MCP integration allows tools like Claude Code to directly access Crawl4AI's capabilities without complex API handling.
+**Hooks Support**: Crawl4AI offers two approaches for working with hooks:
+- **String-based** (REST API): Works with any language, requires manual string formatting
+- **Function-based** (Python SDK): Write hooks as regular Python functions with full IDE support and automatic conversion
 
-Remember, the examples in the `examples` folder are your friends - they show real-world usage patterns that you can adapt for your needs.
+**Playground Interface**: The built-in playground at `http://localhost:11235/playground` makes it easy to test configurations and generate corresponding JSON for API requests.
+
+**MCP Integration**: For AI application developers, the MCP integration allows tools like Claude Code to directly access Crawl4AI's capabilities without complex API handling.
+
+### Next Steps
+
+1. **Explore Examples**: Check out the comprehensive examples in:
+   - `/docs/examples/hooks_docker_client_example.py` - Python function-based hooks
+   - `/docs/examples/hooks_rest_api_example.py` - REST API string-based hooks
+   - `/docs/examples/README_HOOKS.md` - Comparison and guide
+
+2. **Read Documentation**:
+   - `/docs/hooks-utility-guide.md` - Complete hooks utility guide
+   - API documentation for detailed configuration options
+
+3. **Join the Community**:
+   - GitHub: Report issues and contribute
+   - Discord: Get help and share your experiences
+   - Documentation: Comprehensive guides and tutorials
 
 Keep exploring, and don't hesitate to reach out if you need help! We're building something amazing together. 🚀
 
diff --git a/docs/md_v2/core/quickstart.md b/docs/md_v2/core/quickstart.md
index e9a4b987..83cb6cef 100644
--- a/docs/md_v2/core/quickstart.md
+++ b/docs/md_v2/core/quickstart.md
@@ -79,7 +79,7 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-> IMPORTANT: By default cache mode is set to `CacheMode.ENABLED`. So to have fresh content, you need to set it to `CacheMode.BYPASS`
+> IMPORTANT: By default cache mode is set to `CacheMode.BYPASS` to have fresh content. Set `CacheMode.ENABLED` to enable caching.
 
 We’ll explore more advanced config in later tutorials (like enabling proxies, PDF output, multi-tab sessions, etc.). For now, just note how you pass these objects to manage crawling.
 
diff --git a/docs/md_v2/core/url-seeding.md b/docs/md_v2/core/url-seeding.md
index f891c204..106a80a0 100644
--- a/docs/md_v2/core/url-seeding.md
+++ b/docs/md_v2/core/url-seeding.md
@@ -102,16 +102,16 @@ async def smart_blog_crawler():
     
     # Step 2: Configure discovery - let's find all blog posts
     config = SeedingConfig(
-        source="sitemap",           # Use the website's sitemap
-        pattern="*/blog/*.html",    # Only blog posts
+        source="sitemap+cc",      # Use the website's sitemap+cc
+        pattern="*/courses/*",    # Only courses related posts
         extract_head=True,          # Get page metadata
         max_urls=100               # Limit for this example
     )
     
     # Step 3: Discover URLs from the Python blog
-    print("🔍 Discovering blog posts...")
+    print("🔍 Discovering course posts...")
     urls = await seeder.urls("realpython.com", config)
-    print(f"✅ Found {len(urls)} blog posts")
+    print(f"✅ Found {len(urls)} course posts")
     
     # Step 4: Filter for Python tutorials (using metadata!)
     tutorials = [
@@ -134,7 +134,8 @@ async def smart_blog_crawler():
     async with AsyncWebCrawler() as crawler:
         config = CrawlerRunConfig(
             only_text=True,
-            word_count_threshold=300  # Only substantial articles
+            word_count_threshold=300,  # Only substantial articles
+            stream=True
         )
         
         # Extract URLs and crawl them
@@ -155,7 +156,7 @@ asyncio.run(smart_blog_crawler())
 
 **What just happened?**
 
-1. We discovered all blog URLs from the sitemap
+1. We discovered all blog URLs from the sitemap+cc
 2. We filtered using metadata (no crawling needed!)
 3. We crawled only the relevant tutorials
 4. We saved tons of time and bandwidth
@@ -282,8 +283,8 @@ config = SeedingConfig(
     live_check=True,  # Verify each URL is accessible
     concurrency=20    # Check 20 URLs in parallel
 )
-
-urls = await seeder.urls("example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("example.com", config)
 
 # Now you can filter by status
 live_urls = [u for u in urls if u["status"] == "valid"]
@@ -311,8 +312,8 @@ This is where URL seeding gets really powerful. Instead of crawling entire pages
 config = SeedingConfig(
     extract_head=True  # Extract metadata from <head> section
 )
-
-urls = await seeder.urls("example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("example.com", config)
 
 # Now each URL has rich metadata
 for url in urls[:3]:
@@ -387,8 +388,8 @@ config = SeedingConfig(
     scoring_method="bm25",
     score_threshold=0.3
 )
-
-urls = await seeder.urls("example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("example.com", config)
 
 # URLs are scored based on:
 # 1. Domain parts matching (e.g., 'python' in python.example.com)
@@ -429,8 +430,8 @@ config = SeedingConfig(
     extract_head=True,
     live_check=True
 )
-
-urls = await seeder.urls("blog.example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("blog.example.com", config)
 
 # Analyze the results
 for url in urls[:5]:
@@ -488,8 +489,8 @@ config = SeedingConfig(
     scoring_method="bm25",       # Use BM25 algorithm
     score_threshold=0.3          # Minimum relevance score
 )
-
-urls = await seeder.urls("realpython.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("realpython.com", config)
 
 # Results are automatically sorted by relevance!
 for url in urls[:5]:
@@ -511,8 +512,8 @@ config = SeedingConfig(
     score_threshold=0.5,
     max_urls=20
 )
-
-urls = await seeder.urls("docs.example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("docs.example.com", config)
 
 # The highest scoring URLs will be API docs!
 ```
@@ -529,8 +530,8 @@ config = SeedingConfig(
     score_threshold=0.4,
     pattern="*/product/*"  # Combine with pattern matching
 )
-
-urls = await seeder.urls("shop.example.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("shop.example.com", config)
 
 # Filter further by price (from metadata)
 affordable = [
@@ -550,8 +551,8 @@ config = SeedingConfig(
     scoring_method="bm25",
     score_threshold=0.35
 )
-
-urls = await seeder.urls("technews.com", config)
+async with AsyncUrlSeeder() as seeder:
+    urls = await seeder.urls("technews.com", config)
 
 # Filter by date
 from datetime import datetime, timedelta
@@ -591,8 +592,8 @@ for query in queries:
         score_threshold=0.4,
         max_urls=10  # Top 10 per topic
     )
-    
-    urls = await seeder.urls("learning-platform.com", config)
+    async with AsyncUrlSeeder() as seeder:
+        urls = await seeder.urls("learning-platform.com", config)
     all_tutorials.extend(urls)
 
 # Remove duplicates while preserving order
@@ -625,7 +626,8 @@ config = SeedingConfig(
 )
 
 # Returns a dictionary: {domain: [urls]}
-results = await seeder.many_urls(domains, config)
+async with AsyncUrlSeeder() as seeder:
+    results = await seeder.many_urls(domains, config)
 
 # Process results
 for domain, urls in results.items():
@@ -654,8 +656,8 @@ config = SeedingConfig(
     pattern="*/blog/*",
     max_urls=100
 )
-
-results = await seeder.many_urls(competitors, config)
+async with AsyncUrlSeeder() as seeder:
+    results = await seeder.many_urls(competitors, config)
 
 # Analyze content types
 for domain, urls in results.items():
@@ -690,8 +692,8 @@ config = SeedingConfig(
     score_threshold=0.3,
     max_urls=20  # Per site
 )
-
-results = await seeder.many_urls(educational_sites, config)
+async with AsyncUrlSeeder() as seeder:
+    results = await seeder.many_urls(educational_sites, config)
 
 # Find the best beginner tutorials
 all_tutorials = []
@@ -731,8 +733,8 @@ config = SeedingConfig(
     score_threshold=0.5,  # High threshold for relevance
     max_urls=10
 )
-
-results = await seeder.many_urls(news_sites, config)
+async with AsyncUrlSeeder() as seeder:
+    results = await seeder.many_urls(news_sites, config)
 
 # Collect all mentions
 mentions = []
diff --git a/docs/md_v2/index.md b/docs/md_v2/index.md
index d497ca89..848706e3 100644
--- a/docs/md_v2/index.md
+++ b/docs/md_v2/index.md
@@ -59,6 +59,27 @@ Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant
 
 > **Note**: If you're looking for the old documentation, you can access it [here](https://old.docs.crawl4ai.com).
 
+## 🆕 AI Assistant Skill Now Available!
+
+<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); padding: 20px; border-radius: 10px; margin: 20px 0; box-shadow: 0 4px 6px rgba(0,0,0,0.1);">
+  <h3 style="color: white; margin: 0 0 10px 0;">🤖 Crawl4AI Skill for Claude & AI Assistants</h3>
+  <p style="color: white; margin: 10px 0;">Supercharge your AI coding assistant with complete Crawl4AI knowledge! Download our comprehensive skill package that includes:</p>
+  <ul style="color: white; margin: 10px 0;">
+    <li>📚 Complete SDK reference (23K+ words)</li>
+    <li>🚀 Ready-to-use extraction scripts</li>
+    <li>⚡ Schema generation for efficient scraping</li>
+    <li>🔧 Version 0.7.4 compatible</li>
+  </ul>
+  <div style="text-align: center; margin-top: 15px;">
+    <a href="assets/crawl4ai-skill.zip" download style="background: white; color: #667eea; padding: 12px 30px; border-radius: 5px; text-decoration: none; font-weight: bold; display: inline-block; transition: transform 0.2s;">
+      📦 Download Skill Package
+    </a>
+  </div>
+  <p style="color: white; margin: 15px 0 0 0; font-size: 0.9em; text-align: center;">
+    Works with Claude, Cursor, Windsurf, and other AI coding assistants. Import the .zip file into your AI assistant's skill/knowledge system.
+  </p>
+</div>
+
 ## 🎯 New: Adaptive Web Crawling
 
 Crawl4AI now features intelligent adaptive crawling that knows when to stop! Using advanced information foraging algorithms, it determines when sufficient information has been gathered to answer your query.
diff --git a/docs/md_v2/marketplace/README.md b/docs/md_v2/marketplace/README.md
new file mode 100644
index 00000000..75e1b5c6
--- /dev/null
+++ b/docs/md_v2/marketplace/README.md
@@ -0,0 +1,66 @@
+# Crawl4AI Marketplace
+
+A terminal-themed marketplace for tools, integrations, and resources related to Crawl4AI.
+
+## Setup
+
+### Backend
+
+1. Install dependencies:
+```bash
+cd backend
+pip install -r requirements.txt
+```
+
+2. Generate dummy data:
+```bash
+python dummy_data.py
+```
+
+3. Run the server:
+```bash
+python server.py
+```
+
+The API will be available at http://localhost:8100
+
+### Frontend
+
+1. Open `frontend/index.html` in your browser
+2. Or serve via MkDocs as part of the documentation site
+
+## Database Schema
+
+The marketplace uses SQLite with automatic migration from `schema.yaml`. Tables include:
+- **apps**: Tools and integrations
+- **articles**: Reviews, tutorials, and news
+- **categories**: App categories
+- **sponsors**: Sponsored content
+
+## API Endpoints
+
+- `GET /api/apps` - List apps with filters
+- `GET /api/articles` - List articles
+- `GET /api/categories` - Get all categories
+- `GET /api/sponsors` - Get active sponsors
+- `GET /api/search?q=query` - Search across content
+- `GET /api/stats` - Marketplace statistics
+
+## Features
+
+- **Smart caching**: LocalStorage with TTL (1 hour)
+- **Terminal theme**: Consistent with Crawl4AI branding
+- **Responsive design**: Works on all devices
+- **Fast search**: Debounced with 300ms delay
+- **CORS protected**: Only crawl4ai.com and localhost
+
+## Admin Panel
+
+Coming soon - for now, edit the database directly or modify `dummy_data.py`
+
+## Deployment
+
+For production deployment on EC2:
+1. Update `API_BASE` in `marketplace.js` to production URL
+2. Run FastAPI with proper production settings (use gunicorn/uvicorn)
+3. Set up nginx proxy if needed
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/admin/admin.css b/docs/md_v2/marketplace/admin/admin.css
new file mode 100644
index 00000000..66b975a9
--- /dev/null
+++ b/docs/md_v2/marketplace/admin/admin.css
@@ -0,0 +1,759 @@
+/* Admin Dashboard - C4AI Terminal Style */
+
+/* Utility Classes */
+.hidden {
+    display: none !important;
+}
+
+/* Brand Colors */
+:root {
+    --c4ai-cyan: #50ffff;
+    --c4ai-green: #50ff50;
+    --c4ai-yellow: #ffff50;
+    --c4ai-pink: #ff50ff;
+    --c4ai-blue: #5050ff;
+}
+
+.admin-container {
+    min-height: 100vh;
+    background: var(--bg-dark);
+}
+
+/* Login Screen */
+.login-screen {
+    min-height: 100vh;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: linear-gradient(135deg, #070708 0%, #1a1a2e 100%);
+}
+
+.login-box {
+    background: var(--bg-secondary);
+    border: 2px solid var(--primary-cyan);
+    padding: 3rem;
+    width: 400px;
+    box-shadow: 0 0 40px rgba(80, 255, 255, 0.2);
+    text-align: center;
+}
+
+.login-logo {
+    height: 60px;
+    margin-bottom: 2rem;
+    filter: brightness(1.2);
+}
+
+.login-box h1 {
+    color: var(--primary-cyan);
+    font-size: 1.5rem;
+    margin-bottom: 2rem;
+}
+
+#login-form input {
+    width: 100%;
+    padding: 0.75rem;
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    font-family: inherit;
+    margin-bottom: 1rem;
+}
+
+#login-form input:focus {
+    outline: none;
+    border-color: var(--primary-cyan);
+}
+
+#login-form button {
+    width: 100%;
+    padding: 0.75rem;
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    border: none;
+    color: var(--bg-dark);
+    font-weight: 600;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+#login-form button:hover {
+    box-shadow: 0 4px 15px rgba(80, 255, 255, 0.3);
+    transform: translateY(-2px);
+}
+
+.error-msg {
+    color: var(--error);
+    font-size: 0.875rem;
+    margin-top: 1rem;
+}
+
+/* Admin Dashboard */
+.admin-dashboard.hidden {
+    display: none;
+}
+
+.admin-header {
+    background: var(--bg-secondary);
+    border-bottom: 2px solid var(--primary-cyan);
+    padding: 1rem 0;
+}
+
+.header-content {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.header-left {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+}
+
+.header-logo {
+    height: 35px;
+}
+
+.admin-header h1 {
+    font-size: 1.25rem;
+    color: var(--primary-cyan);
+}
+
+.header-right {
+    display: flex;
+    align-items: center;
+    gap: 2rem;
+}
+
+.admin-user {
+    color: var(--text-secondary);
+}
+
+.logout-btn {
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--error);
+    color: var(--error);
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.logout-btn:hover {
+    background: rgba(255, 60, 116, 0.1);
+}
+
+/* Layout */
+.admin-layout {
+    display: flex;
+    max-width: 1800px;
+    margin: 0 auto;
+    min-height: calc(100vh - 60px);
+}
+
+/* Sidebar */
+.admin-sidebar {
+    width: 250px;
+    background: var(--bg-secondary);
+    border-right: 1px solid var(--border-color);
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+}
+
+.sidebar-nav {
+    padding: 1rem 0;
+}
+
+.nav-btn {
+    width: 100%;
+    padding: 1rem 1.5rem;
+    background: transparent;
+    border: none;
+    border-left: 3px solid transparent;
+    color: var(--text-secondary);
+    text-align: left;
+    cursor: pointer;
+    transition: all 0.2s;
+    display: flex;
+    align-items: center;
+    gap: 0.75rem;
+}
+
+.nav-btn:hover {
+    background: rgba(80, 255, 255, 0.05);
+    color: var(--primary-cyan);
+}
+
+.nav-btn.active {
+    border-left-color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.1);
+    color: var(--primary-cyan);
+}
+
+.nav-icon {
+    font-size: 1.25rem;
+    margin-right: 0.25rem;
+    display: inline-block;
+    width: 1.5rem;
+    text-align: center;
+}
+
+.nav-btn[data-section="stats"] .nav-icon {
+    color: var(--c4ai-cyan);
+}
+
+.nav-btn[data-section="apps"] .nav-icon {
+    color: var(--c4ai-green);
+}
+
+.nav-btn[data-section="articles"] .nav-icon {
+    color: var(--c4ai-yellow);
+}
+
+.nav-btn[data-section="categories"] .nav-icon {
+    color: var(--c4ai-pink);
+}
+
+.nav-btn[data-section="sponsors"] .nav-icon {
+    color: var(--c4ai-blue);
+}
+
+.sidebar-actions {
+    padding: 1rem;
+    border-top: 1px solid var(--border-color);
+}
+
+.action-btn {
+    width: 100%;
+    padding: 0.75rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    cursor: pointer;
+    margin-bottom: 0.5rem;
+    transition: all 0.2s;
+}
+
+.action-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+/* Main Content */
+.admin-main {
+    flex: 1;
+    padding: 2rem;
+    overflow-y: auto;
+}
+
+.content-section {
+    display: none;
+}
+
+.content-section.active {
+    display: block;
+}
+
+/* Stats Grid */
+.stats-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1.5rem;
+    margin-bottom: 3rem;
+}
+
+.stat-card {
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.03), rgba(243, 128, 245, 0.02));
+    border: 1px solid rgba(80, 255, 255, 0.3);
+    padding: 1.5rem;
+    display: flex;
+    gap: 1.5rem;
+}
+
+.stat-icon {
+    font-size: 2rem;
+    width: 3rem;
+    height: 3rem;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    border: 2px solid;
+    border-radius: 4px;
+}
+
+.stat-card:nth-child(1) .stat-icon {
+    color: var(--c4ai-cyan);
+    border-color: var(--c4ai-cyan);
+}
+
+.stat-card:nth-child(2) .stat-icon {
+    color: var(--c4ai-green);
+    border-color: var(--c4ai-green);
+}
+
+.stat-card:nth-child(3) .stat-icon {
+    color: var(--c4ai-yellow);
+    border-color: var(--c4ai-yellow);
+}
+
+.stat-card:nth-child(4) .stat-icon {
+    color: var(--c4ai-pink);
+    border-color: var(--c4ai-pink);
+}
+
+.stat-number {
+    font-size: 2rem;
+    color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+.stat-label {
+    color: var(--text-secondary);
+}
+
+.stat-detail {
+    font-size: 0.875rem;
+    color: var(--text-tertiary);
+    margin-top: 0.5rem;
+}
+
+/* Quick Actions */
+.quick-actions {
+    display: flex;
+    gap: 1rem;
+}
+
+.quick-btn {
+    padding: 0.75rem 1.5rem;
+    background: transparent;
+    border: 1px solid var(--primary-cyan);
+    color: var(--primary-cyan);
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.quick-btn:hover {
+    background: rgba(80, 255, 255, 0.1);
+    transform: translateY(-2px);
+}
+
+/* Section Headers */
+.section-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 2rem;
+}
+
+.section-header h2 {
+    font-size: 1.5rem;
+    color: var(--text-primary);
+}
+
+.header-actions {
+    display: flex;
+    gap: 1rem;
+}
+
+.search-input {
+    padding: 0.5rem 1rem;
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    width: 250px;
+}
+
+.search-input:focus {
+    outline: none;
+    border-color: var(--primary-cyan);
+}
+
+.filter-select {
+    padding: 0.5rem;
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+}
+
+.add-btn {
+    padding: 0.5rem 1rem;
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    border: none;
+    color: var(--bg-dark);
+    font-weight: 600;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.add-btn:hover {
+    box-shadow: 0 4px 15px rgba(80, 255, 255, 0.3);
+    transform: translateY(-2px);
+}
+
+/* Data Tables */
+.data-table {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    overflow-x: auto;
+}
+
+.data-table table {
+    width: 100%;
+    border-collapse: collapse;
+}
+
+.data-table th {
+    background: var(--bg-tertiary);
+    padding: 1rem;
+    text-align: left;
+    color: var(--primary-cyan);
+    font-weight: 600;
+    border-bottom: 2px solid var(--border-color);
+    position: sticky;
+    top: 0;
+    z-index: 10;
+}
+
+.data-table td {
+    padding: 1rem;
+    border-bottom: 1px solid var(--border-color);
+}
+
+.data-table tr:hover {
+    background: rgba(80, 255, 255, 0.03);
+}
+
+/* Table Actions */
+.table-actions {
+    display: flex;
+    gap: 0.5rem;
+}
+
+.table-logo {
+    width: 48px;
+    height: 48px;
+    object-fit: contain;
+    border-radius: 6px;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    padding: 4px;
+}
+
+.btn-edit, .btn-delete, .btn-duplicate {
+    padding: 0.25rem 0.5rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    cursor: pointer;
+    font-size: 0.875rem;
+}
+
+.btn-edit:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+.btn-delete:hover {
+    border-color: var(--error);
+    color: var(--error);
+}
+
+.btn-duplicate:hover {
+    border-color: var(--accent-pink);
+    color: var(--accent-pink);
+}
+
+/* Badges in Tables */
+.badge {
+    padding: 0.25rem 0.5rem;
+    font-size: 0.75rem;
+    text-transform: uppercase;
+}
+
+.badge.featured {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+}
+
+.badge.sponsored {
+    background: var(--warning);
+    color: var(--bg-dark);
+}
+
+.badge.active {
+    background: var(--success);
+    color: var(--bg-dark);
+}
+
+/* Modal Enhancements */
+.modal-content.large {
+    max-width: 1000px;
+    width: 90%;
+    max-height: 90vh;
+}
+
+.modal-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 1.5rem;
+    border-bottom: 1px solid var(--border-color);
+}
+
+.modal-body {
+    padding: 1.5rem;
+    overflow-y: auto;
+    max-height: calc(90vh - 140px);
+}
+
+.modal-footer {
+    display: flex;
+    justify-content: flex-end;
+    gap: 1rem;
+    padding: 1rem 1.5rem;
+    border-top: 1px solid var(--border-color);
+}
+
+.btn-cancel, .btn-save {
+    padding: 0.5rem 1.5rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.btn-cancel {
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+}
+
+.btn-cancel:hover {
+    border-color: var(--error);
+    color: var(--error);
+}
+
+.btn-save {
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    border: none;
+    color: var(--bg-dark);
+    font-weight: 600;
+}
+
+.btn-save:hover {
+    box-shadow: 0 4px 15px rgba(80, 255, 255, 0.3);
+}
+
+/* Form Styles */
+.form-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 1.5rem;
+}
+
+.form-group {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+}
+
+.form-group label {
+    color: var(--text-secondary);
+    font-size: 0.875rem;
+}
+
+.form-group input,
+.form-group select,
+.form-group textarea {
+    padding: 0.5rem;
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    font-family: inherit;
+}
+
+.form-group input:focus,
+.form-group select:focus,
+.form-group textarea:focus {
+    outline: none;
+    border-color: var(--primary-cyan);
+}
+
+.form-group.full-width {
+    grid-column: 1 / -1;
+}
+
+.checkbox-group {
+    display: flex;
+    gap: 2rem;
+}
+
+.checkbox-label {
+    display: flex;
+    align-items: center;
+    gap: 0.5rem;
+    cursor: pointer;
+}
+
+.sponsor-form {
+    grid-template-columns: 200px repeat(2, minmax(220px, 1fr));
+    align-items: flex-start;
+    grid-auto-flow: dense;
+}
+
+.sponsor-logo-group {
+    grid-row: span 3;
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+}
+
+.span-two {
+    grid-column: span 2;
+}
+
+.logo-upload {
+    position: relative;
+    width: 180px;
+}
+
+.image-preview {
+    width: 180px;
+    height: 180px;
+    border: 1px dashed var(--border-color);
+    border-radius: 12px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: var(--bg-tertiary);
+    overflow: hidden;
+}
+
+.image-preview.empty {
+    color: var(--text-secondary);
+    font-size: 0.75rem;
+    text-align: center;
+    padding: 0.75rem;
+}
+
+.image-preview img {
+    max-width: 100%;
+    max-height: 100%;
+    object-fit: contain;
+}
+
+.upload-btn {
+    position: absolute;
+    left: 50%;
+    bottom: 12px;
+    transform: translateX(-50%);
+    padding: 0.35rem 1rem;
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    border: none;
+    border-radius: 999px;
+    color: var(--bg-dark);
+    font-size: 0.75rem;
+    font-weight: 600;
+    cursor: pointer;
+    box-shadow: 0 6px 18px rgba(80, 255, 255, 0.25);
+}
+
+.upload-btn:hover {
+    box-shadow: 0 8px 22px rgba(80, 255, 255, 0.35);
+}
+
+.logo-upload input[type="file"] {
+    display: none;
+}
+
+.upload-hint {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+    margin: 0;
+}
+
+@media (max-width: 960px) {
+    .sponsor-form {
+        grid-template-columns: repeat(auto-fit, minmax(240px, 1fr));
+    }
+
+    .sponsor-logo-group {
+        grid-column: 1 / -1;
+        grid-row: auto;
+        flex-direction: row;
+        align-items: center;
+        gap: 1.5rem;
+    }
+
+    .logo-upload {
+        width: 160px;
+    }
+
+    .span-two {
+        grid-column: 1 / -1;
+    }
+}
+
+/* Rich Text Editor */
+.editor-toolbar {
+    display: flex;
+    gap: 0.5rem;
+    padding: 0.5rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    border-bottom: none;
+}
+
+.editor-btn {
+    padding: 0.25rem 0.5rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    cursor: pointer;
+}
+
+.editor-btn:hover {
+    background: rgba(80, 255, 255, 0.1);
+    border-color: var(--primary-cyan);
+}
+
+.editor-content {
+    min-height: 300px;
+    padding: 1rem;
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    font-family: 'Dank Mono', Monaco, monospace;
+}
+
+/* Responsive */
+@media (max-width: 1024px) {
+    .admin-layout {
+        flex-direction: column;
+    }
+
+    .admin-sidebar {
+        width: 100%;
+        border-right: none;
+        border-bottom: 1px solid var(--border-color);
+    }
+
+    .sidebar-nav {
+        display: flex;
+        overflow-x: auto;
+        padding: 0;
+    }
+
+    .nav-btn {
+        border-left: none;
+        border-bottom: 3px solid transparent;
+        white-space: nowrap;
+    }
+
+    .nav-btn.active {
+        border-bottom-color: var(--primary-cyan);
+    }
+
+    .sidebar-actions {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/admin/admin.js b/docs/md_v2/marketplace/admin/admin.js
new file mode 100644
index 00000000..d43dd822
--- /dev/null
+++ b/docs/md_v2/marketplace/admin/admin.js
@@ -0,0 +1,920 @@
+// Admin Dashboard - Smart & Powerful
+const { API_BASE, API_ORIGIN } = (() => {
+    const cleanOrigin = (value) => value ? value.replace(/\/$/, '') : '';
+    const params = new URLSearchParams(window.location.search);
+    const overrideParam = cleanOrigin(params.get('api_origin'));
+
+    let storedOverride = '';
+    try {
+        storedOverride = cleanOrigin(localStorage.getItem('marketplace_api_origin'));
+    } catch (error) {
+        storedOverride = '';
+    }
+
+    let origin = overrideParam || storedOverride;
+
+    if (overrideParam && overrideParam !== storedOverride) {
+        try {
+            localStorage.setItem('marketplace_api_origin', overrideParam);
+        } catch (error) {
+            // ignore storage errors (private mode, etc.)
+        }
+    }
+
+    const { protocol, hostname, port } = window.location;
+    const isLocalHost = ['localhost', '127.0.0.1', '0.0.0.0'].includes(hostname);
+
+    if (!origin && isLocalHost && port !== '8100') {
+        origin = `${protocol}//127.0.0.1:8100`;
+    }
+
+    if (origin) {
+        const normalized = cleanOrigin(origin);
+        return { API_BASE: `${normalized}/marketplace/api`, API_ORIGIN: normalized };
+    }
+
+    return { API_BASE: '/marketplace/api', API_ORIGIN: '' };
+})();
+
+const resolveAssetUrl = (path) => {
+    if (!path) return '';
+    if (/^https?:\/\//i.test(path)) return path;
+    if (path.startsWith('/') && API_ORIGIN) {
+        return `${API_ORIGIN}${path}`;
+    }
+    return path;
+};
+
+class AdminDashboard {
+    constructor() {
+        this.token = localStorage.getItem('admin_token');
+        this.currentSection = 'stats';
+        this.data = {
+            apps: [],
+            articles: [],
+            categories: [],
+            sponsors: []
+        };
+        this.editingItem = null;
+        this.init();
+    }
+
+    async init() {
+        // Check auth
+        if (!this.token) {
+            this.showLogin();
+            return;
+        }
+
+        // Try to load stats to verify token
+        try {
+            await this.loadStats();
+            this.showDashboard();
+            this.setupEventListeners();
+            await this.loadAllData();
+        } catch (error) {
+            if (error.status === 401) {
+                this.showLogin();
+            }
+        }
+    }
+
+    showLogin() {
+        document.getElementById('login-screen').classList.remove('hidden');
+        document.getElementById('admin-dashboard').classList.add('hidden');
+
+        // Set up login button click handler
+        const loginBtn = document.getElementById('login-btn');
+        if (loginBtn) {
+            loginBtn.onclick = async () => {
+                const password = document.getElementById('password').value;
+                await this.login(password);
+            };
+        }
+    }
+
+    async login(password) {
+        try {
+            const response = await fetch(`${API_BASE}/admin/login`, {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify({ password })
+            });
+
+            if (!response.ok) throw new Error('Invalid password');
+
+            const data = await response.json();
+            this.token = data.token;
+            localStorage.setItem('admin_token', this.token);
+
+            document.getElementById('login-screen').classList.add('hidden');
+            this.showDashboard();
+            this.setupEventListeners();
+            await this.loadAllData();
+        } catch (error) {
+            document.getElementById('login-error').textContent = 'Invalid password';
+            document.getElementById('password').value = '';
+        }
+    }
+
+    showDashboard() {
+        document.getElementById('login-screen').classList.add('hidden');
+        document.getElementById('admin-dashboard').classList.remove('hidden');
+    }
+
+    setupEventListeners() {
+        // Navigation
+        document.querySelectorAll('.nav-btn').forEach(btn => {
+            btn.onclick = () => this.switchSection(btn.dataset.section);
+        });
+
+        // Logout
+        document.getElementById('logout-btn').onclick = () => this.logout();
+
+        // Export/Backup
+        document.getElementById('export-btn').onclick = () => this.exportData();
+        document.getElementById('backup-btn').onclick = () => this.backupDatabase();
+
+        // Search
+        ['apps', 'articles'].forEach(type => {
+            const searchInput = document.getElementById(`${type}-search`);
+            if (searchInput) {
+                searchInput.oninput = (e) => this.filterTable(type, e.target.value);
+            }
+        });
+
+        // Category filter
+        const categoryFilter = document.getElementById('apps-filter');
+        if (categoryFilter) {
+            categoryFilter.onchange = (e) => this.filterByCategory(e.target.value);
+        }
+
+        // Save button in modal
+        document.getElementById('save-btn').onclick = () => this.saveItem();
+    }
+
+    async loadAllData() {
+        try {
+            await this.loadStats();
+        } catch (e) {
+            console.error('Failed to load stats:', e);
+        }
+
+        try {
+            await this.loadApps();
+        } catch (e) {
+            console.error('Failed to load apps:', e);
+        }
+
+        try {
+            await this.loadArticles();
+        } catch (e) {
+            console.error('Failed to load articles:', e);
+        }
+
+        try {
+            await this.loadCategories();
+        } catch (e) {
+            console.error('Failed to load categories:', e);
+        }
+
+        try {
+            await this.loadSponsors();
+        } catch (e) {
+            console.error('Failed to load sponsors:', e);
+        }
+
+        this.populateCategoryFilter();
+    }
+
+    async apiCall(endpoint, options = {}) {
+        const isFormData = options.body instanceof FormData;
+        const headers = {
+            'Authorization': `Bearer ${this.token}`,
+            ...options.headers
+        };
+
+        if (!isFormData && !headers['Content-Type']) {
+            headers['Content-Type'] = 'application/json';
+        }
+
+        const response = await fetch(`${API_BASE}${endpoint}`, {
+            ...options,
+            headers
+        });
+
+        if (response.status === 401) {
+            this.logout();
+            throw { status: 401 };
+        }
+
+        if (!response.ok) throw new Error(`API Error: ${response.status}`);
+        return response.json();
+    }
+
+    async loadStats() {
+        const stats = await this.apiCall(`/admin/stats?_=${Date.now()}`, {
+            cache: 'no-store'
+        });
+
+        document.getElementById('stat-apps').textContent = stats.apps.total;
+        document.getElementById('stat-featured').textContent = stats.apps.featured;
+        document.getElementById('stat-sponsored').textContent = stats.apps.sponsored;
+        document.getElementById('stat-articles').textContent = stats.articles;
+        document.getElementById('stat-sponsors').textContent = stats.sponsors.active;
+        document.getElementById('stat-views').textContent = this.formatNumber(stats.total_views);
+    }
+
+    async loadApps() {
+        this.data.apps = await this.apiCall(`/apps?limit=100&_=${Date.now()}`, {
+            cache: 'no-store'
+        });
+        this.renderAppsTable(this.data.apps);
+    }
+
+    async loadArticles() {
+        this.data.articles = await this.apiCall(`/articles?limit=100&_=${Date.now()}`, {
+            cache: 'no-store'
+        });
+        this.renderArticlesTable(this.data.articles);
+    }
+
+    async loadCategories() {
+        const cacheBuster = Date.now();
+        this.data.categories = await this.apiCall(`/categories?_=${cacheBuster}`, {
+            cache: 'no-store'
+        });
+        this.renderCategoriesTable(this.data.categories);
+    }
+
+    async loadSponsors() {
+        const cacheBuster = Date.now();
+        this.data.sponsors = await this.apiCall(`/sponsors?limit=100&_=${cacheBuster}`, {
+            cache: 'no-store'
+        });
+        this.renderSponsorsTable(this.data.sponsors);
+    }
+
+    renderAppsTable(apps) {
+        const table = document.getElementById('apps-table');
+        table.innerHTML = `
+            <table>
+                <thead>
+                    <tr>
+                        <th>ID</th>
+                        <th>Name</th>
+                        <th>Category</th>
+                        <th>Type</th>
+                        <th>Rating</th>
+                        <th>Downloads</th>
+                        <th>Status</th>
+                        <th>Actions</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    ${apps.map(app => `
+                        <tr>
+                            <td>${app.id}</td>
+                            <td>${app.name}</td>
+                            <td>${app.category}</td>
+                            <td>${app.type}</td>
+                            <td>◆ ${app.rating}/5</td>
+                            <td>${this.formatNumber(app.downloads)}</td>
+                            <td>
+                                ${app.featured ? '<span class="badge featured">Featured</span>' : ''}
+                                ${app.sponsored ? '<span class="badge sponsored">Sponsored</span>' : ''}
+                            </td>
+                            <td>
+                                <div class="table-actions">
+                                    <button class="btn-edit" onclick="admin.editItem('apps', ${app.id})">Edit</button>
+                                    <button class="btn-duplicate" onclick="admin.duplicateItem('apps', ${app.id})">Duplicate</button>
+                                    <button class="btn-delete" onclick="admin.deleteItem('apps', ${app.id})">Delete</button>
+                                </div>
+                            </td>
+                        </tr>
+                    `).join('')}
+                </tbody>
+            </table>
+        `;
+    }
+
+    renderArticlesTable(articles) {
+        const table = document.getElementById('articles-table');
+        table.innerHTML = `
+            <table>
+                <thead>
+                    <tr>
+                        <th>ID</th>
+                        <th>Title</th>
+                        <th>Category</th>
+                        <th>Author</th>
+                        <th>Published</th>
+                        <th>Views</th>
+                        <th>Actions</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    ${articles.map(article => `
+                        <tr>
+                            <td>${article.id}</td>
+                            <td>${article.title}</td>
+                            <td>${article.category}</td>
+                            <td>${article.author}</td>
+                            <td>${new Date(article.published_date).toLocaleDateString()}</td>
+                            <td>${this.formatNumber(article.views)}</td>
+                            <td>
+                                <div class="table-actions">
+                                    <button class="btn-edit" onclick="admin.editItem('articles', ${article.id})">Edit</button>
+                                    <button class="btn-duplicate" onclick="admin.duplicateItem('articles', ${article.id})">Duplicate</button>
+                                    <button class="btn-delete" onclick="admin.deleteItem('articles', ${article.id})">Delete</button>
+                                </div>
+                            </td>
+                        </tr>
+                    `).join('')}
+                </tbody>
+            </table>
+        `;
+    }
+
+    renderCategoriesTable(categories) {
+        const table = document.getElementById('categories-table');
+        table.innerHTML = `
+            <table>
+                <thead>
+                    <tr>
+                        <th>Order</th>
+                        <th>Icon</th>
+                        <th>Name</th>
+                        <th>Description</th>
+                        <th>Actions</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    ${categories.map(cat => `
+                        <tr>
+                            <td>${cat.order_index}</td>
+                            <td>${cat.icon}</td>
+                            <td>${cat.name}</td>
+                            <td>${cat.description}</td>
+                            <td>
+                                <div class="table-actions">
+                                    <button class="btn-edit" onclick="admin.editItem('categories', ${cat.id})">Edit</button>
+                                    <button class="btn-delete" onclick="admin.deleteCategory(${cat.id})">Delete</button>
+                                </div>
+                            </td>
+                        </tr>
+                    `).join('')}
+                </tbody>
+            </table>
+        `;
+    }
+
+    renderSponsorsTable(sponsors) {
+        const table = document.getElementById('sponsors-table');
+        table.innerHTML = `
+            <table>
+                <thead>
+                    <tr>
+                        <th>ID</th>
+                        <th>Logo</th>
+                        <th>Company</th>
+                        <th>Tier</th>
+                        <th>Start</th>
+                        <th>End</th>
+                        <th>Status</th>
+                        <th>Actions</th>
+                    </tr>
+                </thead>
+                <tbody>
+                    ${sponsors.map(sponsor => `
+                        <tr>
+                            <td>${sponsor.id}</td>
+                            <td>${sponsor.logo_url ? `<img class="table-logo" src="${resolveAssetUrl(sponsor.logo_url)}" alt="${sponsor.company_name} logo">` : '-'}</td>
+                            <td>${sponsor.company_name}</td>
+                            <td>${sponsor.tier}</td>
+                            <td>${new Date(sponsor.start_date).toLocaleDateString()}</td>
+                            <td>${new Date(sponsor.end_date).toLocaleDateString()}</td>
+                            <td>${sponsor.active ? '<span class="badge active">Active</span>' : 'Inactive'}</td>
+                            <td>
+                                <div class="table-actions">
+                                    <button class="btn-edit" onclick="admin.editItem('sponsors', ${sponsor.id})">Edit</button>
+                                    <button class="btn-delete" onclick="admin.deleteItem('sponsors', ${sponsor.id})">Delete</button>
+                                </div>
+                            </td>
+                        </tr>
+                    `).join('')}
+                </tbody>
+            </table>
+        `;
+    }
+
+    showAddForm(type) {
+        this.editingItem = null;
+        this.showModal(type, null);
+    }
+
+    async editItem(type, id) {
+        const item = this.data[type].find(i => i.id === id);
+        if (item) {
+            this.editingItem = item;
+            this.showModal(type, item);
+        }
+    }
+
+    async duplicateItem(type, id) {
+        const item = this.data[type].find(i => i.id === id);
+        if (item) {
+            const newItem = { ...item };
+            delete newItem.id;
+            newItem.name = `${newItem.name || newItem.title} (Copy)`;
+            if (newItem.slug) newItem.slug = `${newItem.slug}-copy-${Date.now()}`;
+
+            this.editingItem = null;
+            this.showModal(type, newItem);
+        }
+    }
+
+    showModal(type, item) {
+        const modal = document.getElementById('form-modal');
+        const title = document.getElementById('modal-title');
+        const body = document.getElementById('modal-body');
+
+        title.textContent = item ? `Edit ${type.slice(0, -1)}` : `Add New ${type.slice(0, -1)}`;
+
+        if (type === 'apps') {
+            body.innerHTML = this.getAppForm(item);
+        } else if (type === 'articles') {
+            body.innerHTML = this.getArticleForm(item);
+        } else if (type === 'categories') {
+            body.innerHTML = this.getCategoryForm(item);
+        } else if (type === 'sponsors') {
+            body.innerHTML = this.getSponsorForm(item);
+        }
+
+        modal.classList.remove('hidden');
+        modal.dataset.type = type;
+
+        if (type === 'sponsors') {
+            this.setupLogoUploadHandlers();
+        }
+    }
+
+    getAppForm(app) {
+        return `
+            <div class="form-grid">
+                <div class="form-group">
+                    <label>Name *</label>
+                    <input type="text" id="form-name" value="${app?.name || ''}" required>
+                </div>
+                <div class="form-group">
+                    <label>Slug</label>
+                    <input type="text" id="form-slug" value="${app?.slug || ''}" placeholder="auto-generated">
+                </div>
+                <div class="form-group">
+                    <label>Category</label>
+                    <select id="form-category">
+                        ${this.data.categories.map(cat =>
+                            `<option value="${cat.name}" ${app?.category === cat.name ? 'selected' : ''}>${cat.name}</option>`
+                        ).join('')}
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label>Type</label>
+                    <select id="form-type">
+                        <option value="Open Source" ${app?.type === 'Open Source' ? 'selected' : ''}>Open Source</option>
+                        <option value="Paid" ${app?.type === 'Paid' ? 'selected' : ''}>Paid</option>
+                        <option value="Freemium" ${app?.type === 'Freemium' ? 'selected' : ''}>Freemium</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label>Rating</label>
+                    <input type="number" id="form-rating" value="${app?.rating || 4.5}" min="0" max="5" step="0.1">
+                </div>
+                <div class="form-group">
+                    <label>Downloads</label>
+                    <input type="number" id="form-downloads" value="${app?.downloads || 0}">
+                </div>
+                <div class="form-group full-width">
+                    <label>Description</label>
+                    <textarea id="form-description" rows="3">${app?.description || ''}</textarea>
+                </div>
+                <div class="form-group full-width">
+                    <label>Image URL</label>
+                    <input type="text" id="form-image" value="${app?.image || ''}" placeholder="https://...">
+                </div>
+                <div class="form-group">
+                    <label>Website URL</label>
+                    <input type="text" id="form-website" value="${app?.website_url || ''}">
+                </div>
+                <div class="form-group">
+                    <label>GitHub URL</label>
+                    <input type="text" id="form-github" value="${app?.github_url || ''}">
+                </div>
+                <div class="form-group">
+                    <label>Pricing</label>
+                    <input type="text" id="form-pricing" value="${app?.pricing || 'Free'}">
+                </div>
+                <div class="form-group">
+                    <label>Contact Email</label>
+                    <input type="email" id="form-email" value="${app?.contact_email || ''}">
+                </div>
+                <div class="form-group full-width checkbox-group">
+                    <label class="checkbox-label">
+                        <input type="checkbox" id="form-featured" ${app?.featured ? 'checked' : ''}>
+                        Featured
+                    </label>
+                    <label class="checkbox-label">
+                        <input type="checkbox" id="form-sponsored" ${app?.sponsored ? 'checked' : ''}>
+                        Sponsored
+                    </label>
+                </div>
+                <div class="form-group full-width">
+                    <label>Integration Guide</label>
+                    <textarea id="form-integration" rows="10">${app?.integration_guide || ''}</textarea>
+                </div>
+            </div>
+        `;
+    }
+
+    getArticleForm(article) {
+        return `
+            <div class="form-grid">
+                <div class="form-group full-width">
+                    <label>Title *</label>
+                    <input type="text" id="form-title" value="${article?.title || ''}" required>
+                </div>
+                <div class="form-group">
+                    <label>Author</label>
+                    <input type="text" id="form-author" value="${article?.author || 'Crawl4AI Team'}">
+                </div>
+                <div class="form-group">
+                    <label>Category</label>
+                    <select id="form-category">
+                        <option value="News" ${article?.category === 'News' ? 'selected' : ''}>News</option>
+                        <option value="Tutorial" ${article?.category === 'Tutorial' ? 'selected' : ''}>Tutorial</option>
+                        <option value="Review" ${article?.category === 'Review' ? 'selected' : ''}>Review</option>
+                        <option value="Comparison" ${article?.category === 'Comparison' ? 'selected' : ''}>Comparison</option>
+                    </select>
+                </div>
+                <div class="form-group full-width">
+                    <label>Featured Image URL</label>
+                    <input type="text" id="form-image" value="${article?.featured_image || ''}">
+                </div>
+                <div class="form-group full-width">
+                    <label>Content</label>
+                    <textarea id="form-content" rows="20">${article?.content || ''}</textarea>
+                </div>
+            </div>
+        `;
+    }
+
+    getCategoryForm(category) {
+        return `
+            <div class="form-grid">
+                <div class="form-group">
+                    <label>Name *</label>
+                    <input type="text" id="form-name" value="${category?.name || ''}" required>
+                </div>
+                <div class="form-group">
+                    <label>Icon</label>
+                    <input type="text" id="form-icon" value="${category?.icon || '📁'}" maxlength="2">
+                </div>
+                <div class="form-group">
+                    <label>Order</label>
+                    <input type="number" id="form-order" value="${category?.order_index || 0}">
+                </div>
+                <div class="form-group full-width">
+                    <label>Description</label>
+                    <textarea id="form-description" rows="3">${category?.description || ''}</textarea>
+                </div>
+            </div>
+        `;
+    }
+
+    getSponsorForm(sponsor) {
+        const existingFile = sponsor?.logo_url ? sponsor.logo_url.split('/').pop().split('?')[0] : '';
+        return `
+            <div class="form-grid sponsor-form">
+                <div class="form-group sponsor-logo-group">
+                    <label>Logo</label>
+                    <input type="hidden" id="form-logo-url" value="${sponsor?.logo_url || ''}">
+                    <div class="logo-upload">
+                        <div class="image-preview ${sponsor?.logo_url ? '' : 'empty'}" id="form-logo-preview">
+                            ${sponsor?.logo_url ? `<img src="${resolveAssetUrl(sponsor.logo_url)}" alt="Logo preview">` : '<span>No logo uploaded</span>'}
+                        </div>
+                        <button type="button" class="upload-btn" id="form-logo-button">Upload Logo</button>
+                        <input type="file" id="form-logo-file" accept="image/png,image/jpeg,image/webp,image/svg+xml" hidden>
+                    </div>
+                    <p class="upload-hint" id="form-logo-filename">${existingFile ? `Current: ${existingFile}` : 'No file selected'}</p>
+                </div>
+                <div class="form-group span-two">
+                    <label>Company Name *</label>
+                    <input type="text" id="form-name" value="${sponsor?.company_name || ''}" required>
+                </div>
+                <div class="form-group">
+                    <label>Tier</label>
+                    <select id="form-tier">
+                        <option value="Bronze" ${sponsor?.tier === 'Bronze' ? 'selected' : ''}>Bronze</option>
+                        <option value="Silver" ${sponsor?.tier === 'Silver' ? 'selected' : ''}>Silver</option>
+                        <option value="Gold" ${sponsor?.tier === 'Gold' ? 'selected' : ''}>Gold</option>
+                    </select>
+                </div>
+                <div class="form-group">
+                    <label>Landing URL</label>
+                    <input type="text" id="form-landing" value="${sponsor?.landing_url || ''}">
+                </div>
+                <div class="form-group">
+                    <label>Banner URL</label>
+                    <input type="text" id="form-banner" value="${sponsor?.banner_url || ''}">
+                </div>
+                <div class="form-group">
+                    <label>Start Date</label>
+                    <input type="date" id="form-start" value="${sponsor?.start_date?.split('T')[0] || ''}">
+                </div>
+                <div class="form-group">
+                    <label>End Date</label>
+                    <input type="date" id="form-end" value="${sponsor?.end_date?.split('T')[0] || ''}">
+                </div>
+                <div class="form-group">
+                    <label class="checkbox-label">
+                        <input type="checkbox" id="form-active" ${sponsor?.active ? 'checked' : ''}>
+                        Active
+                    </label>
+                </div>
+            </div>
+        `;
+    }
+
+    async saveItem() {
+        const modal = document.getElementById('form-modal');
+        const type = modal.dataset.type;
+
+        try {
+            if (type === 'sponsors') {
+                const fileInput = document.getElementById('form-logo-file');
+                if (fileInput && fileInput.files && fileInput.files[0]) {
+                    const formData = new FormData();
+                    formData.append('file', fileInput.files[0]);
+                    formData.append('folder', 'sponsors');
+
+                    const uploadResponse = await this.apiCall('/admin/upload-image', {
+                        method: 'POST',
+                        body: formData
+                    });
+
+                    if (!uploadResponse.url) {
+                        throw new Error('Image upload failed');
+                    }
+
+                    document.getElementById('form-logo-url').value = uploadResponse.url;
+                }
+            }
+
+            const data = this.collectFormData(type);
+
+            if (this.editingItem) {
+                await this.apiCall(`/admin/${type}/${this.editingItem.id}`, {
+                    method: 'PUT',
+                    body: JSON.stringify(data)
+                });
+            } else {
+                await this.apiCall(`/admin/${type}`, {
+                    method: 'POST',
+                    body: JSON.stringify(data)
+                });
+            }
+
+            this.closeModal();
+            await this[`load${type.charAt(0).toUpperCase() + type.slice(1)}`]();
+            await this.loadStats();
+        } catch (error) {
+            alert('Error saving item: ' + error.message);
+        }
+    }
+
+    collectFormData(type) {
+        const data = {};
+
+        if (type === 'apps') {
+            data.name = document.getElementById('form-name').value;
+            data.slug = document.getElementById('form-slug').value || this.generateSlug(data.name);
+            data.description = document.getElementById('form-description').value;
+            data.category = document.getElementById('form-category').value;
+            data.type = document.getElementById('form-type').value;
+            const rating = parseFloat(document.getElementById('form-rating').value);
+            const downloads = parseInt(document.getElementById('form-downloads').value, 10);
+            data.rating = Number.isFinite(rating) ? rating : 0;
+            data.downloads = Number.isFinite(downloads) ? downloads : 0;
+            data.image = document.getElementById('form-image').value;
+            data.website_url = document.getElementById('form-website').value;
+            data.github_url = document.getElementById('form-github').value;
+            data.pricing = document.getElementById('form-pricing').value;
+            data.contact_email = document.getElementById('form-email').value;
+            data.featured = document.getElementById('form-featured').checked ? 1 : 0;
+            data.sponsored = document.getElementById('form-sponsored').checked ? 1 : 0;
+            data.integration_guide = document.getElementById('form-integration').value;
+        } else if (type === 'articles') {
+            data.title = document.getElementById('form-title').value;
+            data.slug = this.generateSlug(data.title);
+            data.author = document.getElementById('form-author').value;
+            data.category = document.getElementById('form-category').value;
+            data.featured_image = document.getElementById('form-image').value;
+            data.content = document.getElementById('form-content').value;
+        } else if (type === 'categories') {
+            data.name = document.getElementById('form-name').value;
+            data.slug = this.generateSlug(data.name);
+            data.icon = document.getElementById('form-icon').value;
+            data.description = document.getElementById('form-description').value;
+            const orderIndex = parseInt(document.getElementById('form-order').value, 10);
+            data.order_index = Number.isFinite(orderIndex) ? orderIndex : 0;
+        } else if (type === 'sponsors') {
+            data.company_name = document.getElementById('form-name').value;
+            data.logo_url = document.getElementById('form-logo-url').value;
+            data.tier = document.getElementById('form-tier').value;
+            data.landing_url = document.getElementById('form-landing').value;
+            data.banner_url = document.getElementById('form-banner').value;
+            data.start_date = document.getElementById('form-start').value;
+            data.end_date = document.getElementById('form-end').value;
+            data.active = document.getElementById('form-active').checked ? 1 : 0;
+        }
+
+        return data;
+    }
+
+    setupLogoUploadHandlers() {
+        const fileInput = document.getElementById('form-logo-file');
+        const preview = document.getElementById('form-logo-preview');
+        const logoUrlInput = document.getElementById('form-logo-url');
+        const trigger = document.getElementById('form-logo-button');
+        const fileNameEl = document.getElementById('form-logo-filename');
+
+        if (!fileInput || !preview || !logoUrlInput) return;
+
+        const setFileName = (text) => {
+            if (fileNameEl) {
+                fileNameEl.textContent = text;
+            }
+        };
+
+        const setEmptyState = () => {
+            preview.innerHTML = '<span>No logo uploaded</span>';
+            preview.classList.add('empty');
+            setFileName('No file selected');
+        };
+
+        const setExistingState = () => {
+            if (logoUrlInput.value) {
+                const existingFile = logoUrlInput.value.split('/').pop().split('?')[0];
+                preview.innerHTML = `<img src="${resolveAssetUrl(logoUrlInput.value)}" alt="Logo preview">`;
+                preview.classList.remove('empty');
+                setFileName(existingFile ? `Current: ${existingFile}` : 'Current logo');
+            } else {
+                setEmptyState();
+            }
+        };
+
+        setExistingState();
+
+        if (trigger) {
+            trigger.onclick = () => fileInput.click();
+        }
+
+        fileInput.addEventListener('change', (event) => {
+            const file = event.target.files && event.target.files[0];
+
+            if (!file) {
+                setExistingState();
+                return;
+            }
+
+            setFileName(file.name);
+
+            const reader = new FileReader();
+            reader.onload = () => {
+                preview.innerHTML = `<img src="${reader.result}" alt="Logo preview">`;
+                preview.classList.remove('empty');
+            };
+            reader.readAsDataURL(file);
+        });
+    }
+
+    async deleteItem(type, id) {
+        if (!confirm(`Are you sure you want to delete this ${type.slice(0, -1)}?`)) return;
+
+        try {
+            await this.apiCall(`/admin/${type}/${id}`, { method: 'DELETE' });
+            await this[`load${type.charAt(0).toUpperCase() + type.slice(1)}`]();
+            await this.loadStats();
+        } catch (error) {
+            alert('Error deleting item: ' + error.message);
+        }
+    }
+
+    async deleteCategory(id) {
+        const hasApps = this.data.apps.some(app =>
+            app.category === this.data.categories.find(c => c.id === id)?.name
+        );
+
+        if (hasApps) {
+            alert('Cannot delete category with existing apps');
+            return;
+        }
+
+        await this.deleteItem('categories', id);
+    }
+
+    closeModal() {
+        document.getElementById('form-modal').classList.add('hidden');
+        this.editingItem = null;
+    }
+
+    switchSection(section) {
+        // Update navigation
+        document.querySelectorAll('.nav-btn').forEach(btn => {
+            btn.classList.toggle('active', btn.dataset.section === section);
+        });
+
+        // Show section
+        document.querySelectorAll('.content-section').forEach(sec => {
+            sec.classList.remove('active');
+        });
+        document.getElementById(`${section}-section`).classList.add('active');
+
+        this.currentSection = section;
+    }
+
+    filterTable(type, query) {
+        const items = this.data[type].filter(item => {
+            const searchText = Object.values(item).join(' ').toLowerCase();
+            return searchText.includes(query.toLowerCase());
+        });
+
+        if (type === 'apps') {
+            this.renderAppsTable(items);
+        } else if (type === 'articles') {
+            this.renderArticlesTable(items);
+        }
+    }
+
+    filterByCategory(category) {
+        const apps = category
+            ? this.data.apps.filter(app => app.category === category)
+            : this.data.apps;
+        this.renderAppsTable(apps);
+    }
+
+    populateCategoryFilter() {
+        const filter = document.getElementById('apps-filter');
+        if (!filter) return;
+
+        filter.innerHTML = '<option value="">All Categories</option>';
+        this.data.categories.forEach(cat => {
+            filter.innerHTML += `<option value="${cat.name}">${cat.name}</option>`;
+        });
+    }
+
+    async exportData() {
+        const data = {
+            apps: this.data.apps,
+            articles: this.data.articles,
+            categories: this.data.categories,
+            sponsors: this.data.sponsors,
+            exported: new Date().toISOString()
+        };
+
+        const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
+        const url = URL.createObjectURL(blob);
+        const a = document.createElement('a');
+        a.href = url;
+        a.download = `marketplace-export-${Date.now()}.json`;
+        a.click();
+    }
+
+    async backupDatabase() {
+        // In production, this would download the SQLite file
+        alert('Database backup would be implemented on the server side');
+    }
+
+    generateSlug(text) {
+        return text.toLowerCase()
+            .replace(/[^\w\s-]/g, '')
+            .replace(/\s+/g, '-')
+            .replace(/-+/g, '-')
+            .trim();
+    }
+
+    formatNumber(num) {
+        if (num >= 1000000) return (num / 1000000).toFixed(1) + 'M';
+        if (num >= 1000) return (num / 1000).toFixed(1) + 'K';
+        return num.toString();
+    }
+
+    logout() {
+        localStorage.removeItem('admin_token');
+        this.token = null;
+        this.showLogin();
+    }
+}
+
+// Initialize
+const admin = new AdminDashboard();
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/admin/index.html b/docs/md_v2/marketplace/admin/index.html
new file mode 100644
index 00000000..0d302384
--- /dev/null
+++ b/docs/md_v2/marketplace/admin/index.html
@@ -0,0 +1,215 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="dark">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Admin Dashboard - Crawl4AI Marketplace</title>
+    <link rel="stylesheet" href="../frontend/marketplace.css?v=1759329000">
+    <link rel="stylesheet" href="admin.css?v=1759329000">
+</head>
+<body>
+    <div class="admin-container">
+        <!-- Login Screen -->
+        <div id="login-screen" class="login-screen">
+            <div class="login-box">
+                <img src="../../assets/images/logo.png" alt="Crawl4AI" class="login-logo">
+                <h1>[ Admin Access ]</h1>
+                <div id="login-form">
+                    <input type="password" id="password" placeholder="Enter admin password" autofocus onkeypress="if(event.key==='Enter'){document.getElementById('login-btn').click()}">
+                    <button type="button" id="login-btn">→ Login</button>
+                </div>
+                <div id="login-error" class="error-msg"></div>
+            </div>
+        </div>
+
+        <!-- Admin Dashboard -->
+        <div id="admin-dashboard" class="admin-dashboard hidden">
+            <!-- Header -->
+            <header class="admin-header">
+                <div class="header-content">
+                    <div class="header-left">
+                        <img src="../../assets/images/logo.png" alt="Crawl4AI" class="header-logo">
+                        <h1>[ Admin Dashboard ]</h1>
+                    </div>
+                    <div class="header-right">
+                        <span class="admin-user">Administrator</span>
+                        <button id="logout-btn" class="logout-btn">↗ Logout</button>
+                    </div>
+                </div>
+            </header>
+
+            <!-- Main Layout -->
+            <div class="admin-layout">
+                <!-- Sidebar -->
+                <aside class="admin-sidebar">
+                    <nav class="sidebar-nav">
+                        <button class="nav-btn active" data-section="stats">
+                            <span class="nav-icon">▓</span> Dashboard
+                        </button>
+                        <button class="nav-btn" data-section="apps">
+                            <span class="nav-icon">◆</span> Apps
+                        </button>
+                        <button class="nav-btn" data-section="articles">
+                            <span class="nav-icon">■</span> Articles
+                        </button>
+                        <button class="nav-btn" data-section="categories">
+                            <span class="nav-icon">□</span> Categories
+                        </button>
+                        <button class="nav-btn" data-section="sponsors">
+                            <span class="nav-icon">◆</span> Sponsors
+                        </button>
+                    </nav>
+
+                    <div class="sidebar-actions">
+                        <button id="export-btn" class="action-btn">
+                            <span>↓</span> Export Data
+                        </button>
+                        <button id="backup-btn" class="action-btn">
+                            <span>▪</span> Backup DB
+                        </button>
+                    </div>
+                </aside>
+
+                <!-- Main Content -->
+                <main class="admin-main">
+                    <!-- Stats Section -->
+                    <section id="stats-section" class="content-section active">
+                        <h2>Dashboard Overview</h2>
+                        <div class="stats-grid">
+                            <div class="stat-card">
+                                <div class="stat-icon">◆</div>
+                                <div class="stat-info">
+                                    <div class="stat-number" id="stat-apps">--</div>
+                                    <div class="stat-label">Total Apps</div>
+                                    <div class="stat-detail">
+                                        <span id="stat-featured">--</span> featured,
+                                        <span id="stat-sponsored">--</span> sponsored
+                                    </div>
+                                </div>
+                            </div>
+                            <div class="stat-card">
+                                <div class="stat-icon">■</div>
+                                <div class="stat-info">
+                                    <div class="stat-number" id="stat-articles">--</div>
+                                    <div class="stat-label">Articles</div>
+                                </div>
+                            </div>
+                            <div class="stat-card">
+                                <div class="stat-icon">◆</div>
+                                <div class="stat-info">
+                                    <div class="stat-number" id="stat-sponsors">--</div>
+                                    <div class="stat-label">Active Sponsors</div>
+                                </div>
+                            </div>
+                            <div class="stat-card">
+                                <div class="stat-icon">●</div>
+                                <div class="stat-info">
+                                    <div class="stat-number" id="stat-views">--</div>
+                                    <div class="stat-label">Total Views</div>
+                                </div>
+                            </div>
+                        </div>
+
+                        <h3>Quick Actions</h3>
+                        <div class="quick-actions">
+                            <button class="quick-btn" onclick="admin.showAddForm('apps')">
+                                <span>→</span> Add New App
+                            </button>
+                            <button class="quick-btn" onclick="admin.showAddForm('articles')">
+                                <span>→</span> Write Article
+                            </button>
+                            <button class="quick-btn" onclick="admin.showAddForm('sponsors')">
+                                <span>→</span> Add Sponsor
+                            </button>
+                        </div>
+                    </section>
+
+                    <!-- Apps Section -->
+                    <section id="apps-section" class="content-section">
+                        <div class="section-header">
+                            <h2>Apps Management</h2>
+                            <div class="header-actions">
+                                <input type="text" id="apps-search" class="search-input" placeholder="Search apps...">
+                                <select id="apps-filter" class="filter-select">
+                                    <option value="">All Categories</option>
+                                </select>
+                                <button class="add-btn" onclick="admin.showAddForm('apps')">
+                                    <span>→</span> Add App
+                                </button>
+                            </div>
+                        </div>
+                        <div class="data-table" id="apps-table">
+                            <!-- Apps table will be populated here -->
+                        </div>
+                    </section>
+
+                    <!-- Articles Section -->
+                    <section id="articles-section" class="content-section">
+                        <div class="section-header">
+                            <h2>Articles Management</h2>
+                            <div class="header-actions">
+                                <input type="text" id="articles-search" class="search-input" placeholder="Search articles...">
+                                <button class="add-btn" onclick="admin.showAddForm('articles')">
+                                    <span>→</span> Add Article
+                                </button>
+                            </div>
+                        </div>
+                        <div class="data-table" id="articles-table">
+                            <!-- Articles table will be populated here -->
+                        </div>
+                    </section>
+
+                    <!-- Categories Section -->
+                    <section id="categories-section" class="content-section">
+                        <div class="section-header">
+                            <h2>Categories Management</h2>
+                            <div class="header-actions">
+                                <button class="add-btn" onclick="admin.showAddForm('categories')">
+                                    <span>→</span> Add Category
+                                </button>
+                            </div>
+                        </div>
+                        <div class="data-table" id="categories-table">
+                            <!-- Categories table will be populated here -->
+                        </div>
+                    </section>
+
+                    <!-- Sponsors Section -->
+                    <section id="sponsors-section" class="content-section">
+                        <div class="section-header">
+                            <h2>Sponsors Management</h2>
+                            <div class="header-actions">
+                                <button class="add-btn" onclick="admin.showAddForm('sponsors')">
+                                    <span>→</span> Add Sponsor
+                                </button>
+                            </div>
+                        </div>
+                        <div class="data-table" id="sponsors-table">
+                            <!-- Sponsors table will be populated here -->
+                        </div>
+                    </section>
+                </main>
+            </div>
+        </div>
+
+        <!-- Modal for Add/Edit Forms -->
+        <div id="form-modal" class="modal hidden">
+            <div class="modal-content large">
+                <div class="modal-header">
+                    <h2 id="modal-title">Add/Edit</h2>
+                    <button class="modal-close" onclick="admin.closeModal()">✕</button>
+                </div>
+                <div class="modal-body" id="modal-body">
+                    <!-- Dynamic form content -->
+                </div>
+                <div class="modal-footer">
+                    <button class="btn-cancel" onclick="admin.closeModal()">Cancel</button>
+                    <button class="btn-save" id="save-btn">Save</button>
+                </div>
+            </div>
+        </div>
+    </div>
+
+    <script src="admin.js?v=1759335000"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/app-detail.css b/docs/md_v2/marketplace/app-detail.css
new file mode 100644
index 00000000..590bea03
--- /dev/null
+++ b/docs/md_v2/marketplace/app-detail.css
@@ -0,0 +1,658 @@
+/* App Detail Page Styles */
+
+.app-detail-container {
+    min-height: 100vh;
+    background: var(--bg-dark);
+}
+
+/* Back Button */
+.header-nav {
+    display: flex;
+    align-items: center;
+}
+
+.back-btn {
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+    font-size: 0.875rem;
+}
+
+.back-btn:hover {
+    border-color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.1);
+}
+
+/* App Hero Section */
+.app-hero {
+    max-width: 1800px;
+    margin: 2rem auto;
+    padding: 0 2rem;
+}
+
+.app-hero-content {
+    display: grid;
+    grid-template-columns: 1fr 2fr;
+    gap: 3rem;
+    background: linear-gradient(135deg, #1a1a2e, #0f0f1e);
+    border: 2px solid var(--primary-cyan);
+    padding: 2rem;
+    box-shadow: 0 0 30px rgba(80, 255, 255, 0.15),
+                inset 0 0 20px rgba(80, 255, 255, 0.05);
+}
+
+.app-hero-image {
+    width: 100%;
+    height: 300px;
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.1), rgba(243, 128, 245, 0.05));
+    background-size: cover;
+    background-position: center;
+    border: 1px solid var(--border-color);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 4rem;
+    color: var(--primary-cyan);
+}
+
+.app-badges {
+    display: flex;
+    gap: 0.5rem;
+    margin-bottom: 1rem;
+}
+
+.app-badge {
+    padding: 0.3rem 0.6rem;
+    background: var(--bg-tertiary);
+    color: var(--text-secondary);
+    font-size: 0.75rem;
+    text-transform: uppercase;
+    font-weight: 600;
+}
+
+.app-badge.featured {
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    box-shadow: 0 2px 10px rgba(80, 255, 255, 0.3);
+}
+
+.app-badge.sponsored {
+    background: linear-gradient(135deg, var(--warning), #ff8c00);
+    color: var(--bg-dark);
+    box-shadow: 0 2px 10px rgba(245, 158, 11, 0.3);
+}
+
+.app-hero-info h1 {
+    font-size: 2.5rem;
+    color: var(--primary-cyan);
+    margin: 0.5rem 0;
+    text-shadow: 0 0 20px rgba(80, 255, 255, 0.5);
+}
+
+.app-tagline {
+    font-size: 1.1rem;
+    color: var(--text-secondary);
+    margin-bottom: 2rem;
+}
+
+/* Stats */
+.app-stats {
+    display: flex;
+    gap: 2rem;
+    margin: 2rem 0;
+    padding: 1rem 0;
+    border-top: 1px solid var(--border-color);
+    border-bottom: 1px solid var(--border-color);
+}
+
+.stat {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+}
+
+.stat-value {
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+.stat-label {
+    font-size: 0.875rem;
+    color: var(--text-tertiary);
+}
+
+/* Action Buttons */
+.app-actions {
+    display: flex;
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.action-btn {
+    padding: 0.75rem 1.5rem;
+    border: 1px solid var(--border-color);
+    background: transparent;
+    color: var(--text-primary);
+    text-decoration: none;
+    display: inline-flex;
+    align-items: center;
+    gap: 0.5rem;
+    transition: all 0.2s;
+    cursor: pointer;
+    font-family: inherit;
+    font-size: 0.9rem;
+}
+
+.action-btn.primary {
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    border-color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+.action-btn.primary:hover {
+    box-shadow: 0 4px 15px rgba(80, 255, 255, 0.3);
+    transform: translateY(-2px);
+}
+
+.action-btn.secondary {
+    border-color: var(--accent-pink);
+    color: var(--accent-pink);
+}
+
+.action-btn.secondary:hover {
+    background: rgba(243, 128, 245, 0.1);
+    box-shadow: 0 4px 15px rgba(243, 128, 245, 0.2);
+}
+
+.action-btn.ghost {
+    border-color: var(--border-color);
+    color: var(--text-secondary);
+}
+
+.action-btn.ghost:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+/* Pricing */
+.pricing-info {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+    font-size: 1.1rem;
+}
+
+.pricing-label {
+    color: var(--text-tertiary);
+}
+
+.pricing-value {
+    color: var(--warning);
+    font-weight: 600;
+}
+
+/* Navigation Tabs */
+.tabs {
+    display: flex;
+    flex-direction: row;
+    gap: 0;
+    border-bottom: 2px solid var(--border-color);
+    margin-bottom: 0;
+    background: var(--bg-tertiary);
+}
+
+.tab-btn {
+    padding: 1rem 2rem;
+    background: transparent;
+    border: none;
+    border-bottom: 3px solid transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+    transition: all 0.2s;
+    font-family: inherit;
+    font-size: 0.95rem;
+    margin-bottom: -2px;
+    white-space: nowrap;
+    font-weight: 500;
+}
+
+.tab-btn:hover {
+    color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.05);
+}
+
+.tab-btn.active {
+    color: var(--primary-cyan);
+    border-bottom-color: var(--primary-cyan);
+    background: var(--bg-secondary);
+}
+
+.app-nav {
+    max-width: 1800px;
+    margin: 2rem auto 0;
+    padding: 0 2rem;
+    display: flex;
+    gap: 1rem;
+    border-bottom: 2px solid var(--border-color);
+}
+
+.nav-tab {
+    padding: 1rem 1.5rem;
+    background: transparent;
+    border: none;
+    border-bottom: 2px solid transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+    transition: all 0.2s;
+    font-family: inherit;
+    font-size: 0.9rem;
+    margin-bottom: -2px;
+}
+
+.nav-tab:hover {
+    color: var(--primary-cyan);
+}
+
+.nav-tab.active {
+    color: var(--primary-cyan);
+    border-bottom-color: var(--primary-cyan);
+}
+
+/* Main Content Wrapper */
+.app-main {
+    max-width: 1800px;
+    margin: 2rem auto;
+    padding: 0 2rem;
+}
+
+/* Content Sections */
+.app-content {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 0;
+}
+
+.tab-content {
+    display: none;
+    padding: 2rem;
+}
+
+.tab-content.active {
+    display: block;
+}
+
+/* Overview Layout */
+.overview-columns {
+    display: grid;
+    grid-template-columns: 2fr 1fr;
+    gap: 2rem;
+}
+
+.overview-main h2, .overview-main h3 {
+    color: var(--primary-cyan);
+    margin-top: 2rem;
+    margin-bottom: 1rem;
+}
+
+.overview-main h2:first-child {
+    margin-top: 0;
+}
+
+.overview-main h2 {
+    font-size: 1.8rem;
+    border-bottom: 2px solid var(--border-color);
+    padding-bottom: 0.5rem;
+}
+
+.overview-main h3 {
+    font-size: 1.3rem;
+}
+
+.features-list {
+    list-style: none;
+    padding: 0;
+}
+
+.features-list li {
+    padding: 0.5rem 0;
+    padding-left: 1.5rem;
+    position: relative;
+    color: var(--text-secondary);
+}
+
+.features-list li:before {
+    content: "▸";
+    position: absolute;
+    left: 0;
+    color: var(--primary-cyan);
+}
+
+.use-cases p {
+    color: var(--text-secondary);
+    line-height: 1.6;
+}
+
+/* Sidebar */
+.sidebar {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+}
+
+.sidebar-card {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 1.5rem;
+}
+
+.sidebar-card h3 {
+    font-size: 1.1rem;
+    color: var(--primary-cyan);
+    margin: 0 0 1rem 0;
+    border-bottom: 1px solid var(--border-color);
+    padding-bottom: 0.5rem;
+}
+
+.stats-grid {
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 1rem;
+}
+
+.stats-grid > div {
+    text-align: center;
+}
+
+.metadata {
+    margin: 0;
+}
+
+.metadata div {
+    display: flex;
+    justify-content: space-between;
+    padding: 0.75rem 0;
+    border-bottom: 1px solid var(--border-color);
+}
+
+.metadata dt {
+    color: var(--text-tertiary);
+    font-weight: normal;
+}
+
+.metadata dd {
+    color: var(--text-primary);
+    margin: 0;
+    font-weight: 600;
+}
+
+.sidebar-card p {
+    color: var(--text-secondary);
+    margin: 0;
+}
+
+/* Integration Content */
+.integration-content {
+    max-width: 100%;
+}
+
+.integration-content h2 {
+    font-size: 1.8rem;
+    color: var(--primary-cyan);
+    margin: 0 0 2rem 0;
+    padding-bottom: 0.5rem;
+    border-bottom: 2px solid var(--border-color);
+}
+
+.integration-content h3 {
+    font-size: 1.3rem;
+    color: var(--text-primary);
+    margin: 2rem 0 1rem;
+}
+
+.docs-content {
+    max-width: 100%;
+}
+
+.docs-content h2 {
+    font-size: 1.8rem;
+    color: var(--primary-cyan);
+    margin: 0 0 1.5rem 0;
+    padding-bottom: 0.5rem;
+    border-bottom: 2px solid var(--border-color);
+}
+
+.docs-content h3 {
+    font-size: 1.3rem;
+    color: var(--text-primary);
+    margin: 2rem 0 1rem;
+}
+
+.docs-content h4 {
+    font-size: 1.1rem;
+    color: var(--accent-pink);
+    margin: 1.5rem 0 0.5rem;
+}
+
+.docs-content p {
+    color: var(--text-secondary);
+    line-height: 1.6;
+    margin-bottom: 1rem;
+}
+
+.docs-content code {
+    background: var(--bg-tertiary);
+    padding: 0.2rem 0.4rem;
+    color: var(--primary-cyan);
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.9em;
+}
+
+/* Code Blocks */
+.code-block {
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    margin: 1rem 0;
+    overflow: hidden;
+    position: relative;
+}
+
+.code-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 0.5rem 1rem;
+    background: var(--bg-tertiary);
+    border-bottom: 1px solid var(--border-color);
+}
+
+.code-lang {
+    color: var(--primary-cyan);
+    font-size: 0.875rem;
+    text-transform: uppercase;
+}
+
+.copy-btn {
+    position: absolute;
+    top: 0.5rem;
+    right: 0.5rem;
+    padding: 0.4rem 0.8rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    cursor: pointer;
+    font-size: 0.75rem;
+    transition: all 0.2s;
+    z-index: 10;
+}
+
+.copy-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+    background: var(--bg-secondary);
+}
+
+.code-block pre {
+    margin: 0;
+    padding: 1rem;
+    overflow-x: auto;
+}
+
+.code-block code {
+    background: transparent;
+    padding: 0;
+    color: var(--text-secondary);
+    font-size: 0.875rem;
+    line-height: 1.5;
+}
+
+/* Feature Grid */
+.feature-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.feature-card {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    padding: 1.5rem;
+    transition: all 0.2s;
+}
+
+.feature-card:hover {
+    border-color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.05);
+}
+
+.feature-card h4 {
+    margin-top: 0;
+}
+
+/* Info Box */
+.info-box {
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.05), rgba(243, 128, 245, 0.03));
+    border: 1px solid var(--primary-cyan);
+    border-left: 4px solid var(--primary-cyan);
+    padding: 1.5rem;
+    margin: 2rem 0;
+}
+
+.info-box h4 {
+    margin-top: 0;
+    color: var(--primary-cyan);
+}
+
+/* Support Grid */
+.support-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.support-card {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    padding: 1.5rem;
+    text-align: center;
+}
+
+.support-card h3 {
+    color: var(--primary-cyan);
+    margin-bottom: 0.5rem;
+}
+
+/* Related Apps */
+.related-apps {
+    max-width: 1800px;
+    margin: 4rem auto;
+    padding: 0 2rem;
+}
+
+.related-apps h2 {
+    font-size: 1.5rem;
+    color: var(--text-primary);
+    margin-bottom: 1.5rem;
+}
+
+.related-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+    gap: 1rem;
+}
+
+.related-app-card {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 1rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.related-app-card:hover {
+    border-color: var(--primary-cyan);
+    transform: translateY(-2px);
+}
+
+/* Responsive */
+@media (max-width: 1024px) {
+    .app-hero-content {
+        grid-template-columns: 1fr;
+    }
+
+    .app-stats {
+        justify-content: space-around;
+    }
+
+    .overview-columns {
+        grid-template-columns: 1fr;
+    }
+}
+
+@media (max-width: 768px) {
+    .app-hero-info h1 {
+        font-size: 2rem;
+    }
+
+    .app-actions {
+        flex-direction: column;
+    }
+
+    .tabs {
+        overflow-x: auto;
+        -webkit-overflow-scrolling: touch;
+    }
+
+    .tab-btn {
+        padding: 0.75rem 1.5rem;
+        font-size: 0.875rem;
+    }
+
+    .app-nav {
+        overflow-x: auto;
+        gap: 0;
+    }
+
+    .nav-tab {
+        white-space: nowrap;
+    }
+
+    .feature-grid,
+    .support-grid {
+        grid-template-columns: 1fr;
+    }
+
+    .tab-content {
+        padding: 1rem;
+    }
+
+    .app-main {
+        padding: 0 1rem;
+    }
+}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/app-detail.html b/docs/md_v2/marketplace/app-detail.html
new file mode 100644
index 00000000..ef1138a8
--- /dev/null
+++ b/docs/md_v2/marketplace/app-detail.html
@@ -0,0 +1,209 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="dark">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>App Details - Crawl4AI Marketplace</title>
+    <link rel="stylesheet" href="marketplace.css">
+    <link rel="stylesheet" href="app-detail.css">
+</head>
+<body>
+    <div class="app-detail-container">
+        <!-- Header -->
+        <header class="marketplace-header">
+            <div class="header-content">
+                <div class="header-left">
+                    <div class="logo-title">
+                        <img src="../assets/images/logo.png" alt="Crawl4AI" class="header-logo">
+                        <h1>
+                            <span class="ascii-border">[</span>
+                            Marketplace
+                            <span class="ascii-border">]</span>
+                        </h1>
+                    </div>
+                </div>
+                <div class="header-nav">
+                    <a href="index.html" class="back-btn">← Back to Marketplace</a>
+                </div>
+            </div>
+        </header>
+
+        <!-- App Hero Section -->
+        <section class="app-hero">
+            <div class="app-hero-content">
+                <div class="app-hero-image" id="app-image">
+                    <!-- Dynamic image -->
+                </div>
+                <div class="app-hero-info">
+                    <div class="app-badges">
+                        <span class="app-badge" id="app-type">Open Source</span>
+                        <span class="app-badge featured" id="app-featured" style="display:none">FEATURED</span>
+                        <span class="app-badge sponsored" id="app-sponsored" style="display:none">SPONSORED</span>
+                    </div>
+                    <h1 id="app-name">App Name</h1>
+                    <p id="app-description" class="app-tagline">App description goes here</p>
+
+                    <div class="app-stats">
+                        <div class="stat">
+                            <span class="stat-value" id="app-rating">★★★★★</span>
+                            <span class="stat-label">Rating</span>
+                        </div>
+                        <div class="stat">
+                            <span class="stat-value" id="app-downloads">0</span>
+                            <span class="stat-label">Downloads</span>
+                        </div>
+                        <div class="stat">
+                            <span class="stat-value" id="app-category">Category</span>
+                            <span class="stat-label">Category</span>
+                        </div>
+                    </div>
+
+                    <div class="app-actions">
+                        <a href="#" id="app-website" class="action-btn primary" target="_blank">Visit Website</a>
+                        <a href="#" id="app-github" class="action-btn" target="_blank">View GitHub</a>
+                        <a href="#" id="app-demo" class="action-btn" target="_blank" style="display:none">Live Demo</a>
+                    </div>
+                </div>
+            </div>
+        </section>
+
+        <!-- App Details Section -->
+        <main class="app-main">
+            <div class="app-content">
+                <div class="tabs">
+                    <button class="tab-btn active" data-tab="overview">Overview</button>
+                    <button class="tab-btn" data-tab="integration">Integration</button>
+                    <button class="tab-btn" data-tab="docs">Documentation</button>
+                    <button class="tab-btn" data-tab="support">Support</button>
+                </div>
+
+                <section id="overview-tab" class="tab-content active">
+                    <div class="overview-columns">
+                        <div class="overview-main">
+                            <h2>Overview</h2>
+                            <div id="app-overview">Overview content goes here.</div>
+
+                            <h3>Key Features</h3>
+                            <ul id="app-features" class="features-list">
+                                <li>Feature 1</li>
+                                <li>Feature 2</li>
+                                <li>Feature 3</li>
+                            </ul>
+
+                            <h3>Use Cases</h3>
+                            <div id="app-use-cases" class="use-cases">
+                                <p>Describe how this app can help your workflow.</p>
+                            </div>
+                        </div>
+
+                        <aside class="sidebar">
+                            <div class="sidebar-card">
+                                <h3>Download Stats</h3>
+                                <div class="stats-grid">
+                                    <div>
+                                        <span class="stat-value" id="sidebar-downloads">0</span>
+                                        <span class="stat-label">Downloads</span>
+                                    </div>
+                                    <div>
+                                        <span class="stat-value" id="sidebar-rating">0.0</span>
+                                        <span class="stat-label">Rating</span>
+                                    </div>
+                                </div>
+                            </div>
+
+                            <div class="sidebar-card">
+                                <h3>App Metadata</h3>
+                                <dl class="metadata">
+                                    <div>
+                                        <dt>Category</dt>
+                                        <dd id="sidebar-category">-</dd>
+                                    </div>
+                                    <div>
+                                        <dt>Type</dt>
+                                        <dd id="sidebar-type">-</dd>
+                                    </div>
+                                    <div>
+                                        <dt>Status</dt>
+                                        <dd id="sidebar-status">Active</dd>
+                                    </div>
+                                    <div>
+                                        <dt>Pricing</dt>
+                                        <dd id="sidebar-pricing">-</dd>
+                                    </div>
+                                </dl>
+                            </div>
+
+                            <div class="sidebar-card">
+                                <h3>Contact</h3>
+                                <p id="sidebar-contact">contact@example.com</p>
+                            </div>
+                        </aside>
+                    </div>
+                </section>
+
+                <section id="integration-tab" class="tab-content">
+                    <div class="integration-content">
+                        <h2>Integration Guide</h2>
+
+                        <h3>Installation</h3>
+                        <div class="code-block">
+                            <pre><code id="install-code"># Installation instructions will appear here</code></pre>
+                        </div>
+
+                        <h3>Basic Usage</h3>
+                        <div class="code-block">
+                            <pre><code id="usage-code"># Usage example will appear here</code></pre>
+                        </div>
+
+                        <h3>Complete Integration Example</h3>
+                        <div class="code-block">
+                            <button class="copy-btn" id="copy-integration">Copy</button>
+                            <pre><code id="integration-code"># Complete integration guide will appear here</code></pre>
+                        </div>
+                    </div>
+                </section>
+
+                <section id="docs-tab" class="tab-content">
+                    <div class="docs-content">
+                        <h2>Documentation</h2>
+                        <div id="app-docs" class="doc-sections">
+                            <p>Documentation coming soon.</p>
+                        </div>
+                    </div>
+                </section>
+
+                <section id="support-tab" class="tab-content">
+                    <div class="docs-content">
+                        <h2>Support</h2>
+                        <div class="support-grid">
+                            <div class="support-card">
+                                <h3>📧 Contact</h3>
+                                <p id="app-contact">contact@example.com</p>
+                            </div>
+                            <div class="support-card">
+                                <h3>🐛 Report Issues</h3>
+                                <p>Found a bug? Report it on GitHub Issues.</p>
+                            </div>
+                            <div class="support-card">
+                                <h3>💬 Community</h3>
+                                <p>Join our Discord for help and discussions.</p>
+                            </div>
+                        </div>
+                    </div>
+                </section>
+            </div>
+
+        </main>
+
+        <!-- Related Apps -->
+        <section class="related-apps">
+            <h2>Related Apps</h2>
+            <div id="related-apps-grid" class="related-grid">
+                <!-- Dynamic related apps -->
+            </div>
+        </section>
+    </div>
+
+    <script src="app-detail.js"></script>
+</body>
+</html>
diff --git a/docs/md_v2/marketplace/app-detail.js b/docs/md_v2/marketplace/app-detail.js
new file mode 100644
index 00000000..f470bf51
--- /dev/null
+++ b/docs/md_v2/marketplace/app-detail.js
@@ -0,0 +1,348 @@
+// App Detail Page JavaScript
+const { API_BASE, API_ORIGIN } = (() => {
+    const { hostname, port, protocol } = window.location;
+    const isLocalHost = ['localhost', '127.0.0.1', '0.0.0.0'].includes(hostname);
+
+    if (isLocalHost && port && port !== '8100') {
+        const origin = `${protocol}//127.0.0.1:8100`;
+        return { API_BASE: `${origin}/marketplace/api`, API_ORIGIN: origin };
+    }
+
+    return { API_BASE: '/marketplace/api', API_ORIGIN: '' };
+})();
+
+class AppDetailPage {
+    constructor() {
+        this.appSlug = this.getAppSlugFromURL();
+        this.appData = null;
+        this.init();
+    }
+
+    getAppSlugFromURL() {
+        const params = new URLSearchParams(window.location.search);
+        return params.get('app') || '';
+    }
+
+    async init() {
+        if (!this.appSlug) {
+            window.location.href = 'index.html';
+            return;
+        }
+
+        await this.loadAppDetails();
+        this.setupEventListeners();
+        await this.loadRelatedApps();
+    }
+
+    async loadAppDetails() {
+        try {
+            const response = await fetch(`${API_BASE}/apps/${this.appSlug}`);
+            if (!response.ok) throw new Error('App not found');
+
+            this.appData = await response.json();
+            this.renderAppDetails();
+        } catch (error) {
+            console.error('Error loading app details:', error);
+            // Fallback to loading all apps and finding the right one
+            try {
+                const response = await fetch(`${API_BASE}/apps`);
+                const apps = await response.json();
+                this.appData = apps.find(app => app.slug === this.appSlug || app.name.toLowerCase().replace(/\s+/g, '-') === this.appSlug);
+                if (this.appData) {
+                    this.renderAppDetails();
+                } else {
+                    window.location.href = 'index.html';
+                }
+            } catch (err) {
+                console.error('Error loading apps:', err);
+                window.location.href = 'index.html';
+            }
+        }
+    }
+
+    renderAppDetails() {
+        if (!this.appData) return;
+
+        // Update title
+        document.title = `${this.appData.name} - Crawl4AI Marketplace`;
+
+        // Hero image
+        const appImage = document.getElementById('app-image');
+        if (this.appData.image) {
+            appImage.style.backgroundImage = `url('${this.appData.image}')`;
+            appImage.innerHTML = '';
+        } else {
+            appImage.innerHTML = `[${this.appData.category || 'APP'}]`;
+        }
+
+        // Basic info
+        document.getElementById('app-name').textContent = this.appData.name;
+        document.getElementById('app-description').textContent = this.appData.description;
+        document.getElementById('app-type').textContent = this.appData.type || 'Open Source';
+        document.getElementById('app-category').textContent = this.appData.category;
+
+        // Badges
+        if (this.appData.featured) {
+            document.getElementById('app-featured').style.display = 'inline-block';
+        }
+        if (this.appData.sponsored) {
+            document.getElementById('app-sponsored').style.display = 'inline-block';
+        }
+
+        // Stats
+        const rating = this.appData.rating || 0;
+        const stars = '★'.repeat(Math.floor(rating)) + '☆'.repeat(5 - Math.floor(rating));
+        document.getElementById('app-rating').textContent = stars + ` ${rating}/5`;
+        document.getElementById('app-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
+
+        // Action buttons
+        const websiteBtn = document.getElementById('app-website');
+        const githubBtn = document.getElementById('app-github');
+
+        if (this.appData.website_url) {
+            websiteBtn.href = this.appData.website_url;
+        } else {
+            websiteBtn.style.display = 'none';
+        }
+
+        if (this.appData.github_url) {
+            githubBtn.href = this.appData.github_url;
+        } else {
+            githubBtn.style.display = 'none';
+        }
+
+        // Contact
+        document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
+
+        // Sidebar info
+        document.getElementById('sidebar-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
+        document.getElementById('sidebar-rating').textContent = (this.appData.rating || 0).toFixed(1);
+        document.getElementById('sidebar-category').textContent = this.appData.category || '-';
+        document.getElementById('sidebar-type').textContent = this.appData.type || '-';
+        document.getElementById('sidebar-status').textContent = this.appData.status || 'Active';
+        document.getElementById('sidebar-pricing').textContent = this.appData.pricing || 'Free';
+        document.getElementById('sidebar-contact').textContent = this.appData.contact_email || 'contact@example.com';
+
+        // Integration guide
+        this.renderIntegrationGuide();
+    }
+
+    renderIntegrationGuide() {
+        // Installation code
+        const installCode = document.getElementById('install-code');
+        if (installCode) {
+            if (this.appData.type === 'Open Source' && this.appData.github_url) {
+                installCode.textContent = `# Clone from GitHub
+git clone ${this.appData.github_url}
+
+# Install dependencies
+pip install -r requirements.txt`;
+            } else if (this.appData.name.toLowerCase().includes('api')) {
+                installCode.textContent = `# Install via pip
+pip install ${this.appData.slug}
+
+# Or install from source
+pip install git+${this.appData.github_url || 'https://github.com/example/repo'}`;
+            }
+        }
+
+        // Usage code - customize based on category
+        const usageCode = document.getElementById('usage-code');
+        if (usageCode) {
+            if (this.appData.category === 'Browser Automation') {
+                usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
+
+async def main():
+    # Initialize ${this.appData.name}
+    automation = ${this.appData.name.replace(/\s+/g, '')}()
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            browser_config=automation.config,
+            wait_for="css:body"
+        )
+        print(result.markdown)`;
+        } else if (this.appData.category === 'Proxy Services') {
+            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+import ${this.appData.slug.replace(/-/g, '_')}
+
+# Configure proxy
+proxy_config = {
+    "server": "${this.appData.website_url || 'https://proxy.example.com'}",
+    "username": "your_username",
+    "password": "your_password"
+}
+
+async with AsyncWebCrawler(proxy=proxy_config) as crawler:
+    result = await crawler.arun(
+        url="https://example.com",
+        bypass_cache=True
+    )
+    print(result.status_code)`;
+        } else if (this.appData.category === 'LLM Integration') {
+            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+from crawl4ai.extraction_strategy import LLMExtractionStrategy
+
+# Configure LLM extraction
+strategy = LLMExtractionStrategy(
+    provider="${this.appData.name.toLowerCase().includes('gpt') ? 'openai' : 'anthropic'}",
+    api_key="your-api-key",
+    model="${this.appData.name.toLowerCase().includes('gpt') ? 'gpt-4' : 'claude-3'}",
+    instruction="Extract structured data"
+)
+
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun(
+        url="https://example.com",
+        extraction_strategy=strategy
+    )
+    print(result.extracted_content)`;
+            }
+        }
+
+        // Integration example
+        const integrationCode = document.getElementById('integration-code');
+        if (integrationCode) {
+            integrationCode.textContent = this.appData.integration_guide ||
+`# Complete ${this.appData.name} Integration Example
+
+from crawl4ai import AsyncWebCrawler
+from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
+import json
+
+async def crawl_with_${this.appData.slug.replace(/-/g, '_')}():
+    """
+    Complete example showing how to use ${this.appData.name}
+    with Crawl4AI for production web scraping
+    """
+
+    # Define extraction schema
+    schema = {
+        "name": "ProductList",
+        "baseSelector": "div.product",
+        "fields": [
+            {"name": "title", "selector": "h2", "type": "text"},
+            {"name": "price", "selector": ".price", "type": "text"},
+            {"name": "image", "selector": "img", "type": "attribute", "attribute": "src"},
+            {"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
+        ]
+    }
+
+    # Initialize crawler with ${this.appData.name}
+    async with AsyncWebCrawler(
+        browser_type="chromium",
+        headless=True,
+        verbose=True
+    ) as crawler:
+
+        # Crawl with extraction
+        result = await crawler.arun(
+            url="https://example.com/products",
+            extraction_strategy=JsonCssExtractionStrategy(schema),
+            cache_mode="bypass",
+            wait_for="css:.product",
+            screenshot=True
+        )
+
+        # Process results
+        if result.success:
+            products = json.loads(result.extracted_content)
+            print(f"Found {len(products)} products")
+
+            for product in products[:5]:
+                print(f"- {product['title']}: {product['price']}")
+
+        return products
+
+# Run the crawler
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
+        }
+    }
+
+    formatNumber(num) {
+        if (num >= 1000000) {
+            return (num / 1000000).toFixed(1) + 'M';
+        } else if (num >= 1000) {
+            return (num / 1000).toFixed(1) + 'K';
+        }
+        return num.toString();
+    }
+
+    setupEventListeners() {
+        // Tab switching
+        const tabs = document.querySelectorAll('.tab-btn');
+        tabs.forEach(tab => {
+            tab.addEventListener('click', () => {
+                // Update active tab
+                tabs.forEach(t => t.classList.remove('active'));
+                tab.classList.add('active');
+
+                // Show corresponding content
+                const tabName = tab.dataset.tab;
+                document.querySelectorAll('.tab-content').forEach(content => {
+                    content.classList.remove('active');
+                });
+                document.getElementById(`${tabName}-tab`).classList.add('active');
+            });
+        });
+
+        // Copy integration code
+        document.getElementById('copy-integration').addEventListener('click', () => {
+            const code = document.getElementById('integration-code').textContent;
+            navigator.clipboard.writeText(code).then(() => {
+                const btn = document.getElementById('copy-integration');
+                const originalText = btn.innerHTML;
+                btn.innerHTML = '<span>✓</span> Copied!';
+                setTimeout(() => {
+                    btn.innerHTML = originalText;
+                }, 2000);
+            });
+        });
+
+        // Copy code buttons
+        document.querySelectorAll('.copy-btn').forEach(btn => {
+            btn.addEventListener('click', (e) => {
+                const codeBlock = e.target.closest('.code-block');
+                const code = codeBlock.querySelector('code').textContent;
+                navigator.clipboard.writeText(code).then(() => {
+                    btn.textContent = 'Copied!';
+                    setTimeout(() => {
+                        btn.textContent = 'Copy';
+                    }, 2000);
+                });
+            });
+        });
+    }
+
+    async loadRelatedApps() {
+        try {
+            const response = await fetch(`${API_BASE}/apps?category=${encodeURIComponent(this.appData.category)}&limit=4`);
+            const apps = await response.json();
+
+            const relatedApps = apps.filter(app => app.slug !== this.appSlug).slice(0, 3);
+            const grid = document.getElementById('related-apps-grid');
+
+            grid.innerHTML = relatedApps.map(app => `
+                <div class="related-app-card" onclick="window.location.href='app-detail.html?app=${app.slug || app.name.toLowerCase().replace(/\s+/g, '-')}'">
+                    <h4>${app.name}</h4>
+                    <p>${app.description.substring(0, 100)}...</p>
+                    <div style="display: flex; justify-content: space-between; margin-top: 0.5rem; font-size: 0.75rem;">
+                        <span style="color: var(--primary-cyan)">${app.type}</span>
+                        <span style="color: var(--warning)">★ ${app.rating}/5</span>
+                    </div>
+                </div>
+            `).join('');
+        } catch (error) {
+            console.error('Error loading related apps:', error);
+        }
+    }
+}
+
+// Initialize when DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
+    new AppDetailPage();
+});
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/.env.example b/docs/md_v2/marketplace/backend/.env.example
new file mode 100644
index 00000000..7d46f19c
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/.env.example
@@ -0,0 +1,14 @@
+# Marketplace Configuration
+# Copy this to .env and update with your values
+
+# Admin password (required)
+MARKETPLACE_ADMIN_PASSWORD=change_this_password
+
+# JWT secret key (required) - generate with: python3 -c "import secrets; print(secrets.token_urlsafe(32))"
+MARKETPLACE_JWT_SECRET=change_this_to_a_secure_random_key
+
+# Database path (optional, defaults to ./marketplace.db)
+MARKETPLACE_DB_PATH=./marketplace.db
+
+# Token expiry in hours (optional, defaults to 4)
+MARKETPLACE_TOKEN_EXPIRY=4
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/config.py b/docs/md_v2/marketplace/backend/config.py
new file mode 100644
index 00000000..29bb55d6
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/config.py
@@ -0,0 +1,59 @@
+"""
+Marketplace Configuration - Loads from .env file
+"""
+import os
+import sys
+import hashlib
+from pathlib import Path
+from dotenv import load_dotenv
+
+# Load .env file
+env_path = Path(__file__).parent / '.env'
+if not env_path.exists():
+    print("\n❌ ERROR: No .env file found!")
+    print("Please copy .env.example to .env and update with your values:")
+    print(f"  cp {Path(__file__).parent}/.env.example {Path(__file__).parent}/.env")
+    print("\nThen edit .env with your secure values.")
+    sys.exit(1)
+
+load_dotenv(env_path)
+
+# Required environment variables
+required_vars = ['MARKETPLACE_ADMIN_PASSWORD', 'MARKETPLACE_JWT_SECRET']
+missing_vars = [var for var in required_vars if not os.getenv(var)]
+
+if missing_vars:
+    print(f"\n❌ ERROR: Missing required environment variables: {', '.join(missing_vars)}")
+    print("Please check your .env file and ensure all required variables are set.")
+    sys.exit(1)
+
+class Config:
+    """Configuration loaded from environment variables"""
+
+    # Admin authentication - hashed from password in .env
+    ADMIN_PASSWORD_HASH = hashlib.sha256(
+        os.getenv('MARKETPLACE_ADMIN_PASSWORD').encode()
+    ).hexdigest()
+
+    # JWT secret for token generation
+    JWT_SECRET_KEY = os.getenv('MARKETPLACE_JWT_SECRET')
+
+    # Database path
+    DATABASE_PATH = os.getenv('MARKETPLACE_DB_PATH', './marketplace.db')
+
+    # Token expiry in hours
+    TOKEN_EXPIRY_HOURS = int(os.getenv('MARKETPLACE_TOKEN_EXPIRY', '4'))
+
+    # CORS origins - hardcoded as they don't contain secrets
+    ALLOWED_ORIGINS = [
+        "http://localhost:8000",
+        "http://localhost:8080",
+        "http://localhost:8100",
+        "http://127.0.0.1:8000",
+        "http://127.0.0.1:8080",
+        "http://127.0.0.1:8100",
+        "https://crawl4ai.com",
+        "https://www.crawl4ai.com",
+        "https://docs.crawl4ai.com",
+        "https://market.crawl4ai.com"
+    ]
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/database.py b/docs/md_v2/marketplace/backend/database.py
new file mode 100644
index 00000000..8ccfbaf4
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/database.py
@@ -0,0 +1,117 @@
+import sqlite3
+import yaml
+import json
+from pathlib import Path
+from typing import Dict, List, Any
+
+class DatabaseManager:
+    def __init__(self, db_path=None, schema_path='schema.yaml'):
+        self.schema = self._load_schema(schema_path)
+        # Use provided path or fallback to schema default
+        self.db_path = db_path or self.schema['database']['name']
+        self.conn = None
+        self._init_database()
+
+    def _load_schema(self, path: str) -> Dict:
+        with open(path, 'r') as f:
+            return yaml.safe_load(f)
+
+    def _init_database(self):
+        """Auto-create/migrate database from schema"""
+        self.conn = sqlite3.connect(self.db_path, check_same_thread=False)
+        self.conn.row_factory = sqlite3.Row
+
+        for table_name, table_def in self.schema['tables'].items():
+            self._create_or_update_table(table_name, table_def['columns'])
+
+    def _create_or_update_table(self, table_name: str, columns: Dict):
+        cursor = self.conn.cursor()
+
+        # Check if table exists
+        cursor.execute(f"SELECT name FROM sqlite_master WHERE type='table' AND name=?", (table_name,))
+        table_exists = cursor.fetchone() is not None
+
+        if not table_exists:
+            # Create table
+            col_defs = []
+            for col_name, col_spec in columns.items():
+                col_def = f"{col_name} {col_spec['type']}"
+                if col_spec.get('primary'):
+                    col_def += " PRIMARY KEY"
+                if col_spec.get('autoincrement'):
+                    col_def += " AUTOINCREMENT"
+                if col_spec.get('unique'):
+                    col_def += " UNIQUE"
+                if col_spec.get('required'):
+                    col_def += " NOT NULL"
+                if 'default' in col_spec:
+                    default = col_spec['default']
+                    if default == 'CURRENT_TIMESTAMP':
+                        col_def += f" DEFAULT {default}"
+                    elif isinstance(default, str):
+                        col_def += f" DEFAULT '{default}'"
+                    else:
+                        col_def += f" DEFAULT {default}"
+                col_defs.append(col_def)
+
+            create_sql = f"CREATE TABLE {table_name} ({', '.join(col_defs)})"
+            cursor.execute(create_sql)
+        else:
+            # Check for new columns and add them
+            cursor.execute(f"PRAGMA table_info({table_name})")
+            existing_columns = {row[1] for row in cursor.fetchall()}
+
+            for col_name, col_spec in columns.items():
+                if col_name not in existing_columns:
+                    col_def = f"{col_spec['type']}"
+                    if 'default' in col_spec:
+                        default = col_spec['default']
+                        if default == 'CURRENT_TIMESTAMP':
+                            col_def += f" DEFAULT {default}"
+                        elif isinstance(default, str):
+                            col_def += f" DEFAULT '{default}'"
+                        else:
+                            col_def += f" DEFAULT {default}"
+
+                    cursor.execute(f"ALTER TABLE {table_name} ADD COLUMN {col_name} {col_def}")
+
+        self.conn.commit()
+
+    def get_all(self, table: str, limit: int = 100, offset: int = 0, where: str = None) -> List[Dict]:
+        cursor = self.conn.cursor()
+        query = f"SELECT * FROM {table}"
+        if where:
+            query += f" WHERE {where}"
+        query += f" LIMIT {limit} OFFSET {offset}"
+
+        cursor.execute(query)
+        rows = cursor.fetchall()
+        return [dict(row) for row in rows]
+
+    def search(self, query: str, tables: List[str] = None) -> Dict[str, List[Dict]]:
+        if not tables:
+            tables = list(self.schema['tables'].keys())
+
+        results = {}
+        cursor = self.conn.cursor()
+
+        for table in tables:
+            # Search in text columns
+            columns = self.schema['tables'][table]['columns']
+            text_cols = [col for col, spec in columns.items()
+                        if spec['type'] == 'TEXT' and col != 'id']
+
+            if text_cols:
+                where_clause = ' OR '.join([f"{col} LIKE ?" for col in text_cols])
+                params = [f'%{query}%'] * len(text_cols)
+
+                cursor.execute(f"SELECT * FROM {table} WHERE {where_clause} LIMIT 10", params)
+                rows = cursor.fetchall()
+                if rows:
+                    results[table] = [dict(row) for row in rows]
+
+        return results
+
+    def close(self):
+        if self.conn:
+            self.conn.close()
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/dummy_data.py b/docs/md_v2/marketplace/backend/dummy_data.py
new file mode 100644
index 00000000..3e7f46f9
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/dummy_data.py
@@ -0,0 +1,267 @@
+import sqlite3
+import json
+import random
+from datetime import datetime, timedelta
+from database import DatabaseManager
+
+def generate_slug(text):
+    return text.lower().replace(' ', '-').replace('&', 'and')
+
+def generate_dummy_data():
+    db = DatabaseManager()
+    conn = db.conn
+    cursor = conn.cursor()
+
+    # Clear existing data
+    for table in ['apps', 'articles', 'categories', 'sponsors']:
+        cursor.execute(f"DELETE FROM {table}")
+
+    # Categories
+    categories = [
+        ("Browser Automation", "⚙", "Tools for browser automation and control"),
+        ("Proxy Services", "🔒", "Proxy providers and rotation services"),
+        ("LLM Integration", "🤖", "AI/LLM tools and integrations"),
+        ("Data Processing", "📊", "Data extraction and processing tools"),
+        ("Cloud Infrastructure", "☁", "Cloud browser and computing services"),
+        ("Developer Tools", "🛠", "Development and testing utilities")
+    ]
+
+    for i, (name, icon, desc) in enumerate(categories):
+        cursor.execute("""
+            INSERT INTO categories (name, slug, icon, description, order_index)
+            VALUES (?, ?, ?, ?, ?)
+        """, (name, generate_slug(name), icon, desc, i))
+
+    # Apps with real Unsplash images
+    apps_data = [
+        # Browser Automation
+        ("Playwright Cloud", "Browser Automation", "Paid", True, True,
+         "Scalable browser automation in the cloud with Playwright", "https://playwright.cloud",
+         None, "$99/month starter", 4.8, 12500,
+         "https://images.unsplash.com/photo-1633356122544-f134324a6cee?w=800&h=400&fit=crop"),
+
+        ("Selenium Grid Hub", "Browser Automation", "Freemium", False, False,
+         "Distributed Selenium grid for parallel testing", "https://seleniumhub.io",
+         "https://github.com/seleniumhub/grid", "Free - $299/month", 4.2, 8400,
+         "https://images.unsplash.com/photo-1555066931-4365d14bab8c?w=800&h=400&fit=crop"),
+
+        ("Puppeteer Extra", "Browser Automation", "Open Source", True, False,
+         "Enhanced Puppeteer with stealth plugins and more", "https://puppeteer-extra.dev",
+         "https://github.com/berstend/puppeteer-extra", "Free", 4.6, 15200,
+         "https://images.unsplash.com/photo-1461749280684-dccba630e2f6?w=800&h=400&fit=crop"),
+
+        # Proxy Services
+        ("BrightData", "Proxy Services", "Paid", True, True,
+         "Premium proxy network with 72M+ IPs worldwide", "https://brightdata.com",
+         None, "Starting $500/month", 4.7, 9800,
+         "https://images.unsplash.com/photo-1558494949-ef010cbdcc31?w=800&h=400&fit=crop"),
+
+        ("SmartProxy", "Proxy Services", "Paid", False, True,
+         "Residential and datacenter proxies with rotation", "https://smartproxy.com",
+         None, "Starting $75/month", 4.3, 7600,
+         "https://images.unsplash.com/photo-1544197150-b99a580bb7a8?w=800&h=400&fit=crop"),
+
+        ("ProxyMesh", "Proxy Services", "Freemium", False, False,
+         "Rotating proxy servers with sticky sessions", "https://proxymesh.com",
+         None, "$10-$50/month", 4.0, 4200,
+         "https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=800&h=400&fit=crop"),
+
+        # LLM Integration
+        ("LangChain Crawl", "LLM Integration", "Open Source", True, False,
+         "LangChain integration for Crawl4AI workflows", "https://langchain-crawl.dev",
+         "https://github.com/langchain/crawl", "Free", 4.5, 18900,
+         "https://images.unsplash.com/photo-1677442136019-21780ecad995?w=800&h=400&fit=crop"),
+
+        ("GPT Scraper", "LLM Integration", "Freemium", False, False,
+         "Extract structured data using GPT models", "https://gptscraper.ai",
+         None, "Free - $99/month", 4.1, 5600,
+         "https://images.unsplash.com/photo-1655720828018-edd2daec9349?w=800&h=400&fit=crop"),
+
+        ("Claude Extract", "LLM Integration", "Paid", True, True,
+         "Professional extraction using Claude AI", "https://claude-extract.com",
+         None, "$199/month", 4.9, 3200,
+         "https://images.unsplash.com/photo-1686191128892-3b09ad503b4f?w=800&h=400&fit=crop"),
+
+        # Data Processing
+        ("DataMiner Pro", "Data Processing", "Paid", False, False,
+         "Advanced data extraction and transformation", "https://dataminer.pro",
+         None, "$149/month", 4.2, 6700,
+         "https://images.unsplash.com/photo-1551288049-bebda4e38f71?w=800&h=400&fit=crop"),
+
+        ("ScraperAPI", "Data Processing", "Freemium", True, True,
+         "Simple API for web scraping with proxy rotation", "https://scraperapi.com",
+         None, "Free - $299/month", 4.6, 22300,
+         "https://images.unsplash.com/photo-1460925895917-afdab827c52f?w=800&h=400&fit=crop"),
+
+        ("Apify", "Data Processing", "Freemium", False, False,
+         "Web scraping and automation platform", "https://apify.com",
+         None, "$49-$499/month", 4.4, 14500,
+         "https://images.unsplash.com/photo-1504639725590-34d0984388bd?w=800&h=400&fit=crop"),
+
+        # Cloud Infrastructure
+        ("BrowserCloud", "Cloud Infrastructure", "Paid", True, True,
+         "Managed headless browsers in the cloud", "https://browsercloud.io",
+         None, "$199/month", 4.5, 8900,
+         "https://images.unsplash.com/photo-1667372393119-3d4c48d07fc9?w=800&h=400&fit=crop"),
+
+        ("LambdaTest", "Cloud Infrastructure", "Freemium", False, False,
+         "Cross-browser testing on cloud", "https://lambdatest.com",
+         None, "Free - $99/month", 4.1, 11200,
+         "https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=800&h=400&fit=crop"),
+
+        ("Browserless", "Cloud Infrastructure", "Freemium", True, False,
+         "Headless browser automation API", "https://browserless.io",
+         None, "$50-$500/month", 4.7, 19800,
+         "https://images.unsplash.com/photo-1639762681485-074b7f938ba0?w=800&h=400&fit=crop"),
+
+        # Developer Tools
+        ("Crawl4AI VSCode", "Developer Tools", "Open Source", True, False,
+         "VSCode extension for Crawl4AI development", "https://marketplace.visualstudio.com",
+         "https://github.com/crawl4ai/vscode", "Free", 4.8, 34500,
+         "https://images.unsplash.com/photo-1629654297299-c8506221ca97?w=800&h=400&fit=crop"),
+
+        ("Postman Collection", "Developer Tools", "Open Source", False, False,
+         "Postman collection for Crawl4AI API testing", "https://postman.com/crawl4ai",
+         "https://github.com/crawl4ai/postman", "Free", 4.3, 7800,
+         "https://images.unsplash.com/photo-1599507593499-a3f7d7d97667?w=800&h=400&fit=crop"),
+
+        ("Debug Toolkit", "Developer Tools", "Open Source", False, False,
+         "Debugging tools for crawler development", "https://debug.crawl4ai.com",
+         "https://github.com/crawl4ai/debug", "Free", 4.0, 4300,
+         "https://images.unsplash.com/photo-1515879218367-8466d910aaa4?w=800&h=400&fit=crop"),
+    ]
+
+    for name, category, type_, featured, sponsored, desc, url, github, pricing, rating, downloads, image in apps_data:
+        screenshots = json.dumps([
+            f"https://images.unsplash.com/photo-{random.randint(1500000000000, 1700000000000)}-{random.randint(1000000000000, 9999999999999)}?w=800&h=600&fit=crop",
+            f"https://images.unsplash.com/photo-{random.randint(1500000000000, 1700000000000)}-{random.randint(1000000000000, 9999999999999)}?w=800&h=600&fit=crop"
+        ])
+        cursor.execute("""
+            INSERT INTO apps (name, slug, description, category, type, featured, sponsored,
+                            website_url, github_url, pricing, rating, downloads, image, screenshots, logo_url,
+                            integration_guide, contact_email, views)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """, (name, generate_slug(name), desc, category, type_, featured, sponsored,
+             url, github, pricing, rating, downloads, image, screenshots,
+             f"https://ui-avatars.com/api/?name={name}&background=50ffff&color=070708&size=128",
+             f"# {name} Integration\n\n```python\nfrom crawl4ai import AsyncWebCrawler\n# Integration code coming soon...\n```",
+             f"contact@{generate_slug(name)}.com",
+             random.randint(100, 5000)))
+
+    # Articles with real images
+    articles_data = [
+        ("Browser Automation Showdown: Playwright vs Puppeteer vs Selenium",
+         "Review", "John Doe", ["Playwright Cloud", "Puppeteer Extra"],
+         ["browser-automation", "comparison", "2024"],
+         "https://images.unsplash.com/photo-1587620962725-abab7fe55159?w=1200&h=630&fit=crop"),
+
+        ("Top 5 Proxy Services for Web Scraping in 2024",
+         "Comparison", "Jane Smith", ["BrightData", "SmartProxy", "ProxyMesh"],
+         ["proxy", "web-scraping", "guide"],
+         "https://images.unsplash.com/photo-1558494949-ef010cbdcc31?w=1200&h=630&fit=crop"),
+
+        ("Integrating LLMs with Crawl4AI: A Complete Guide",
+         "Tutorial", "Crawl4AI Team", ["LangChain Crawl", "GPT Scraper", "Claude Extract"],
+         ["llm", "integration", "tutorial"],
+         "https://images.unsplash.com/photo-1677442136019-21780ecad995?w=1200&h=630&fit=crop"),
+
+        ("Building Scalable Crawlers with Cloud Infrastructure",
+         "Tutorial", "Mike Johnson", ["BrowserCloud", "Browserless"],
+         ["cloud", "scalability", "architecture"],
+         "https://images.unsplash.com/photo-1667372393119-3d4c48d07fc9?w=1200&h=630&fit=crop"),
+
+        ("What's New in Crawl4AI Marketplace",
+         "News", "Crawl4AI Team", [],
+         ["marketplace", "announcement", "news"],
+         "https://images.unsplash.com/photo-1556075798-4825dfaaf498?w=1200&h=630&fit=crop"),
+
+        ("Cost Analysis: Self-Hosted vs Cloud Browser Solutions",
+         "Comparison", "Sarah Chen", ["BrowserCloud", "LambdaTest", "Browserless"],
+         ["cost", "cloud", "comparison"],
+         "https://images.unsplash.com/photo-1554224155-8d04cb21cd6c?w=1200&h=630&fit=crop"),
+
+        ("Getting Started with Browser Automation",
+         "Tutorial", "Crawl4AI Team", ["Playwright Cloud", "Selenium Grid Hub"],
+         ["beginner", "tutorial", "automation"],
+         "https://images.unsplash.com/photo-1498050108023-c5249f4df085?w=1200&h=630&fit=crop"),
+
+        ("The Future of Web Scraping: AI-Powered Extraction",
+         "News", "Dr. Alan Turing", ["Claude Extract", "GPT Scraper"],
+         ["ai", "future", "trends"],
+         "https://images.unsplash.com/photo-1593720213428-28a5b9e94613?w=1200&h=630&fit=crop")
+    ]
+
+    for title, category, author, related_apps, tags, image in articles_data:
+        # Get app IDs for related apps
+        related_ids = []
+        for app_name in related_apps:
+            cursor.execute("SELECT id FROM apps WHERE name = ?", (app_name,))
+            result = cursor.fetchone()
+            if result:
+                related_ids.append(result[0])
+
+        content = f"""# {title}
+
+By {author} | {datetime.now().strftime('%B %d, %Y')}
+
+## Introduction
+
+This is a comprehensive article about {title.lower()}. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
+Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
+
+## Key Points
+
+- Important point about the topic
+- Another crucial insight
+- Technical details and specifications
+- Performance comparisons
+
+## Conclusion
+
+In summary, this article explored various aspects of the topic. Stay tuned for more updates!
+"""
+
+        cursor.execute("""
+            INSERT INTO articles (title, slug, content, author, category, related_apps,
+                                featured_image, tags, views)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
+        """, (title, generate_slug(title), content, author, category,
+             json.dumps(related_ids), image, json.dumps(tags),
+             random.randint(200, 10000)))
+
+    # Sponsors
+    sponsors_data = [
+        ("BrightData", "Gold", "https://brightdata.com",
+         "https://images.unsplash.com/photo-1558494949-ef010cbdcc31?w=728&h=90&fit=crop"),
+        ("ScraperAPI", "Gold", "https://scraperapi.com",
+         "https://images.unsplash.com/photo-1460925895917-afdab827c52f?w=728&h=90&fit=crop"),
+        ("BrowserCloud", "Silver", "https://browsercloud.io",
+         "https://images.unsplash.com/photo-1667372393119-3d4c48d07fc9?w=728&h=90&fit=crop"),
+        ("Claude Extract", "Silver", "https://claude-extract.com",
+         "https://images.unsplash.com/photo-1686191128892-3b09ad503b4f?w=728&h=90&fit=crop"),
+        ("SmartProxy", "Bronze", "https://smartproxy.com",
+         "https://images.unsplash.com/photo-1544197150-b99a580bb7a8?w=728&h=90&fit=crop")
+    ]
+
+    for company, tier, landing_url, banner in sponsors_data:
+        start_date = datetime.now() - timedelta(days=random.randint(1, 30))
+        end_date = datetime.now() + timedelta(days=random.randint(30, 180))
+
+        cursor.execute("""
+            INSERT INTO sponsors (company_name, logo_url, tier, banner_url,
+                                landing_url, active, start_date, end_date)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+        """, (company,
+             f"https://ui-avatars.com/api/?name={company}&background=09b5a5&color=fff&size=200",
+             tier, banner, landing_url, 1,
+             start_date.isoformat(), end_date.isoformat()))
+
+    conn.commit()
+    print("✓ Dummy data generated successfully!")
+    print(f"  - {len(categories)} categories")
+    print(f"  - {len(apps_data)} apps")
+    print(f"  - {len(articles_data)} articles")
+    print(f"  - {len(sponsors_data)} sponsors")
+
+if __name__ == "__main__":
+    generate_dummy_data()
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/requirements.txt b/docs/md_v2/marketplace/backend/requirements.txt
new file mode 100644
index 00000000..1401b0e3
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/requirements.txt
@@ -0,0 +1,5 @@
+fastapi
+uvicorn
+pyyaml
+python-multipart
+python-dotenv
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/schema.yaml b/docs/md_v2/marketplace/backend/schema.yaml
new file mode 100644
index 00000000..c5f443d0
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/schema.yaml
@@ -0,0 +1,75 @@
+database:
+  name: marketplace.db
+
+tables:
+  apps:
+    columns:
+      id: {type: INTEGER, primary: true, autoincrement: true}
+      name: {type: TEXT, required: true}
+      slug: {type: TEXT, unique: true}
+      description: {type: TEXT}
+      long_description: {type: TEXT}
+      logo_url: {type: TEXT}
+      image: {type: TEXT}
+      screenshots: {type: JSON, default: '[]'}
+      category: {type: TEXT}
+      type: {type: TEXT, default: 'Open Source'}
+      status: {type: TEXT, default: 'Active'}
+      website_url: {type: TEXT}
+      github_url: {type: TEXT}
+      demo_url: {type: TEXT}
+      video_url: {type: TEXT}
+      documentation_url: {type: TEXT}
+      support_url: {type: TEXT}
+      discord_url: {type: TEXT}
+      pricing: {type: TEXT}
+      rating: {type: REAL, default: 0.0}
+      downloads: {type: INTEGER, default: 0}
+      featured: {type: BOOLEAN, default: 0}
+      sponsored: {type: BOOLEAN, default: 0}
+      integration_guide: {type: TEXT}
+      documentation: {type: TEXT}
+      examples: {type: TEXT}
+      installation_command: {type: TEXT}
+      requirements: {type: TEXT}
+      changelog: {type: TEXT}
+      tags: {type: JSON, default: '[]'}
+      added_date: {type: DATETIME, default: CURRENT_TIMESTAMP}
+      updated_date: {type: DATETIME, default: CURRENT_TIMESTAMP}
+      contact_email: {type: TEXT}
+      views: {type: INTEGER, default: 0}
+
+  articles:
+    columns:
+      id: {type: INTEGER, primary: true, autoincrement: true}
+      title: {type: TEXT, required: true}
+      slug: {type: TEXT, unique: true}
+      content: {type: TEXT}
+      author: {type: TEXT, default: 'Crawl4AI Team'}
+      category: {type: TEXT}
+      related_apps: {type: JSON, default: '[]'}
+      featured_image: {type: TEXT}
+      published_date: {type: DATETIME, default: CURRENT_TIMESTAMP}
+      tags: {type: JSON, default: '[]'}
+      views: {type: INTEGER, default: 0}
+
+  categories:
+    columns:
+      id: {type: INTEGER, primary: true, autoincrement: true}
+      name: {type: TEXT, unique: true}
+      slug: {type: TEXT, unique: true}
+      icon: {type: TEXT}
+      description: {type: TEXT}
+      order_index: {type: INTEGER, default: 0}
+
+  sponsors:
+    columns:
+      id: {type: INTEGER, primary: true, autoincrement: true}
+      company_name: {type: TEXT, required: true}
+      logo_url: {type: TEXT}
+      tier: {type: TEXT, default: 'Bronze'}
+      banner_url: {type: TEXT}
+      landing_url: {type: TEXT}
+      active: {type: BOOLEAN, default: 1}
+      start_date: {type: DATETIME}
+      end_date: {type: DATETIME}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/server.py b/docs/md_v2/marketplace/backend/server.py
new file mode 100644
index 00000000..a414ad80
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/server.py
@@ -0,0 +1,493 @@
+from fastapi import FastAPI, HTTPException, Query, Depends, Body, UploadFile, File, Form, APIRouter
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import JSONResponse
+from fastapi.staticfiles import StaticFiles
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+from typing import Optional, Dict, Any
+import json
+import hashlib
+import secrets
+import re
+from pathlib import Path
+from database import DatabaseManager
+from datetime import datetime, timedelta
+
+# Import configuration (will exit if .env not found or invalid)
+from config import Config
+
+app = FastAPI(title="Crawl4AI Marketplace API")
+router = APIRouter(prefix="/marketplace/api")
+
+# Security setup
+security = HTTPBearer()
+tokens = {}  # In production, use Redis or database for token storage
+
+# CORS configuration
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=Config.ALLOWED_ORIGINS,
+    allow_credentials=True,
+    allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
+    allow_headers=["*"],
+    max_age=3600
+)
+
+# Initialize database with configurable path
+db = DatabaseManager(Config.DATABASE_PATH)
+
+BASE_DIR = Path(__file__).parent
+UPLOAD_ROOT = BASE_DIR / "uploads"
+UPLOAD_ROOT.mkdir(parents=True, exist_ok=True)
+
+app.mount("/uploads", StaticFiles(directory=UPLOAD_ROOT), name="uploads")
+
+ALLOWED_IMAGE_TYPES = {
+    "image/png": ".png",
+    "image/jpeg": ".jpg",
+    "image/webp": ".webp",
+    "image/svg+xml": ".svg"
+}
+ALLOWED_UPLOAD_FOLDERS = {"sponsors"}
+MAX_UPLOAD_SIZE = 2 * 1024 * 1024  # 2 MB
+
+def json_response(data, cache_time=3600):
+    """Helper to return JSON with cache headers"""
+    return JSONResponse(
+        content=data,
+        headers={
+            "Cache-Control": f"public, max-age={cache_time}",
+            "X-Content-Type-Options": "nosniff"
+        }
+    )
+
+
+def to_int(value, default=0):
+    """Coerce incoming values to integers, falling back to default."""
+    if value is None:
+        return default
+    if isinstance(value, bool):
+        return int(value)
+    if isinstance(value, (int, float)):
+        return int(value)
+
+    if isinstance(value, str):
+        stripped = value.strip()
+        if not stripped:
+            return default
+
+        match = re.match(r"^-?\d+", stripped)
+        if match:
+            try:
+                return int(match.group())
+            except ValueError:
+                return default
+    return default
+
+# ============= PUBLIC ENDPOINTS =============
+
+@router.get("/apps")
+async def get_apps(
+    category: Optional[str] = None,
+    type: Optional[str] = None,
+    featured: Optional[bool] = None,
+    sponsored: Optional[bool] = None,
+    limit: int = Query(default=20, le=10000),
+    offset: int = Query(default=0)
+):
+    """Get apps with optional filters"""
+    where_clauses = []
+    if category:
+        where_clauses.append(f"category = '{category}'")
+    if type:
+        where_clauses.append(f"type = '{type}'")
+    if featured is not None:
+        where_clauses.append(f"featured = {1 if featured else 0}")
+    if sponsored is not None:
+        where_clauses.append(f"sponsored = {1 if sponsored else 0}")
+
+    where = " AND ".join(where_clauses) if where_clauses else None
+    apps = db.get_all('apps', limit=limit, offset=offset, where=where)
+
+    # Parse JSON fields
+    for app in apps:
+        if app.get('screenshots'):
+            app['screenshots'] = json.loads(app['screenshots'])
+
+    return json_response(apps)
+
+@router.get("/apps/{slug}")
+async def get_app(slug: str):
+    """Get single app by slug"""
+    apps = db.get_all('apps', where=f"slug = '{slug}'", limit=1)
+    if not apps:
+        raise HTTPException(status_code=404, detail="App not found")
+
+    app = apps[0]
+    if app.get('screenshots'):
+        app['screenshots'] = json.loads(app['screenshots'])
+
+    return json_response(app)
+
+@router.get("/articles")
+async def get_articles(
+    category: Optional[str] = None,
+    limit: int = Query(default=20, le=10000),
+    offset: int = Query(default=0)
+):
+    """Get articles with optional category filter"""
+    where = f"category = '{category}'" if category else None
+    articles = db.get_all('articles', limit=limit, offset=offset, where=where)
+
+    # Parse JSON fields
+    for article in articles:
+        if article.get('related_apps'):
+            article['related_apps'] = json.loads(article['related_apps'])
+        if article.get('tags'):
+            article['tags'] = json.loads(article['tags'])
+
+    return json_response(articles)
+
+@router.get("/articles/{slug}")
+async def get_article(slug: str):
+    """Get single article by slug"""
+    articles = db.get_all('articles', where=f"slug = '{slug}'", limit=1)
+    if not articles:
+        raise HTTPException(status_code=404, detail="Article not found")
+
+    article = articles[0]
+    if article.get('related_apps'):
+        article['related_apps'] = json.loads(article['related_apps'])
+    if article.get('tags'):
+        article['tags'] = json.loads(article['tags'])
+
+    return json_response(article)
+
+@router.get("/categories")
+async def get_categories():
+    """Get all categories ordered by index"""
+    categories = db.get_all('categories', limit=50)
+    for category in categories:
+        category['order_index'] = to_int(category.get('order_index'), 0)
+    categories.sort(key=lambda x: x.get('order_index', 0))
+    return json_response(categories, cache_time=7200)
+
+@router.get("/sponsors")
+async def get_sponsors(active: Optional[bool] = True):
+    """Get sponsors, default active only"""
+    where = f"active = {1 if active else 0}" if active is not None else None
+    sponsors = db.get_all('sponsors', where=where, limit=20)
+
+    # Filter by date if active
+    if active:
+        now = datetime.now().isoformat()
+        sponsors = [s for s in sponsors
+                   if (not s.get('start_date') or s['start_date'] <= now) and
+                      (not s.get('end_date') or s['end_date'] >= now)]
+
+    return json_response(sponsors)
+
+@router.get("/search")
+async def search(q: str = Query(min_length=2)):
+    """Search across apps and articles"""
+    if len(q) < 2:
+        return json_response({})
+
+    results = db.search(q, tables=['apps', 'articles'])
+
+    # Parse JSON fields in results
+    for table, items in results.items():
+        for item in items:
+            if table == 'apps' and item.get('screenshots'):
+                item['screenshots'] = json.loads(item['screenshots'])
+            elif table == 'articles':
+                if item.get('related_apps'):
+                    item['related_apps'] = json.loads(item['related_apps'])
+                if item.get('tags'):
+                    item['tags'] = json.loads(item['tags'])
+
+    return json_response(results, cache_time=1800)
+
+@router.get("/stats")
+async def get_stats():
+    """Get marketplace statistics"""
+    stats = {
+        "total_apps": len(db.get_all('apps', limit=10000)),
+        "total_articles": len(db.get_all('articles', limit=10000)),
+        "total_categories": len(db.get_all('categories', limit=1000)),
+        "active_sponsors": len(db.get_all('sponsors', where="active = 1", limit=1000))
+    }
+    return json_response(stats, cache_time=1800)
+
+# ============= ADMIN AUTHENTICATION =============
+
+def verify_token(credentials: HTTPAuthorizationCredentials = Depends(security)):
+    """Verify admin authentication token"""
+    token = credentials.credentials
+    if token not in tokens or tokens[token] < datetime.now():
+        raise HTTPException(status_code=401, detail="Invalid or expired token")
+    return token
+
+
+@router.post("/admin/upload-image", dependencies=[Depends(verify_token)])
+async def upload_image(file: UploadFile = File(...), folder: str = Form("sponsors")):
+    """Upload image files for admin assets"""
+    folder = (folder or "").strip().lower()
+    if folder not in ALLOWED_UPLOAD_FOLDERS:
+        raise HTTPException(status_code=400, detail="Invalid upload folder")
+
+    if file.content_type not in ALLOWED_IMAGE_TYPES:
+        raise HTTPException(status_code=400, detail="Unsupported file type")
+
+    contents = await file.read()
+    if len(contents) > MAX_UPLOAD_SIZE:
+        raise HTTPException(status_code=400, detail="File too large (max 2MB)")
+
+    extension = ALLOWED_IMAGE_TYPES[file.content_type]
+    filename = f"{datetime.now().strftime('%Y%m%d%H%M%S')}_{secrets.token_hex(8)}{extension}"
+
+    target_dir = UPLOAD_ROOT / folder
+    target_dir.mkdir(parents=True, exist_ok=True)
+    target_path = target_dir / filename
+    target_path.write_bytes(contents)
+
+    return {"url": f"/uploads/{folder}/{filename}"}
+
+@router.post("/admin/login")
+async def admin_login(password: str = Body(..., embed=True)):
+    """Admin login with password"""
+    provided_hash = hashlib.sha256(password.encode()).hexdigest()
+
+    if provided_hash != Config.ADMIN_PASSWORD_HASH:
+        # Log failed attempt in production
+        print(f"Failed login attempt at {datetime.now()}")
+        raise HTTPException(status_code=401, detail="Invalid password")
+
+    # Generate secure token
+    token = secrets.token_urlsafe(32)
+    tokens[token] = datetime.now() + timedelta(hours=Config.TOKEN_EXPIRY_HOURS)
+
+    return {
+        "token": token,
+        "expires_in": Config.TOKEN_EXPIRY_HOURS * 3600
+    }
+
+# ============= ADMIN ENDPOINTS =============
+
+@router.get("/admin/stats", dependencies=[Depends(verify_token)])
+async def get_admin_stats():
+    """Get detailed admin statistics"""
+    stats = {
+        "apps": {
+            "total": len(db.get_all('apps', limit=10000)),
+            "featured": len(db.get_all('apps', where="featured = 1", limit=10000)),
+            "sponsored": len(db.get_all('apps', where="sponsored = 1", limit=10000))
+        },
+        "articles": len(db.get_all('articles', limit=10000)),
+        "categories": len(db.get_all('categories', limit=1000)),
+        "sponsors": {
+            "active": len(db.get_all('sponsors', where="active = 1", limit=1000)),
+            "total": len(db.get_all('sponsors', limit=10000))
+        },
+        "total_views": sum(app.get('views', 0) for app in db.get_all('apps', limit=10000))
+    }
+    return stats
+
+# Apps CRUD
+@router.post("/admin/apps", dependencies=[Depends(verify_token)])
+async def create_app(app_data: Dict[str, Any]):
+    """Create new app"""
+    try:
+        # Handle JSON fields
+        for field in ['screenshots', 'tags']:
+            if field in app_data and isinstance(app_data[field], list):
+                app_data[field] = json.dumps(app_data[field])
+
+        cursor = db.conn.cursor()
+        columns = ', '.join(app_data.keys())
+        placeholders = ', '.join(['?' for _ in app_data])
+        cursor.execute(f"INSERT INTO apps ({columns}) VALUES ({placeholders})",
+                      list(app_data.values()))
+        db.conn.commit()
+        return {"id": cursor.lastrowid, "message": "App created"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.put("/admin/apps/{app_id}", dependencies=[Depends(verify_token)])
+async def update_app(app_id: int, app_data: Dict[str, Any]):
+    """Update app"""
+    try:
+        # Handle JSON fields
+        for field in ['screenshots', 'tags']:
+            if field in app_data and isinstance(app_data[field], list):
+                app_data[field] = json.dumps(app_data[field])
+
+        set_clause = ', '.join([f"{k} = ?" for k in app_data.keys()])
+        cursor = db.conn.cursor()
+        cursor.execute(f"UPDATE apps SET {set_clause} WHERE id = ?",
+                      list(app_data.values()) + [app_id])
+        db.conn.commit()
+        return {"message": "App updated"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.delete("/admin/apps/{app_id}", dependencies=[Depends(verify_token)])
+async def delete_app(app_id: int):
+    """Delete app"""
+    cursor = db.conn.cursor()
+    cursor.execute("DELETE FROM apps WHERE id = ?", (app_id,))
+    db.conn.commit()
+    return {"message": "App deleted"}
+
+# Articles CRUD
+@router.post("/admin/articles", dependencies=[Depends(verify_token)])
+async def create_article(article_data: Dict[str, Any]):
+    """Create new article"""
+    try:
+        for field in ['related_apps', 'tags']:
+            if field in article_data and isinstance(article_data[field], list):
+                article_data[field] = json.dumps(article_data[field])
+
+        cursor = db.conn.cursor()
+        columns = ', '.join(article_data.keys())
+        placeholders = ', '.join(['?' for _ in article_data])
+        cursor.execute(f"INSERT INTO articles ({columns}) VALUES ({placeholders})",
+                      list(article_data.values()))
+        db.conn.commit()
+        return {"id": cursor.lastrowid, "message": "Article created"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.put("/admin/articles/{article_id}", dependencies=[Depends(verify_token)])
+async def update_article(article_id: int, article_data: Dict[str, Any]):
+    """Update article"""
+    try:
+        for field in ['related_apps', 'tags']:
+            if field in article_data and isinstance(article_data[field], list):
+                article_data[field] = json.dumps(article_data[field])
+
+        set_clause = ', '.join([f"{k} = ?" for k in article_data.keys()])
+        cursor = db.conn.cursor()
+        cursor.execute(f"UPDATE articles SET {set_clause} WHERE id = ?",
+                      list(article_data.values()) + [article_id])
+        db.conn.commit()
+        return {"message": "Article updated"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.delete("/admin/articles/{article_id}", dependencies=[Depends(verify_token)])
+async def delete_article(article_id: int):
+    """Delete article"""
+    cursor = db.conn.cursor()
+    cursor.execute("DELETE FROM articles WHERE id = ?", (article_id,))
+    db.conn.commit()
+    return {"message": "Article deleted"}
+
+# Categories CRUD
+@router.post("/admin/categories", dependencies=[Depends(verify_token)])
+async def create_category(category_data: Dict[str, Any]):
+    """Create new category"""
+    try:
+        category_data = dict(category_data)
+        category_data['order_index'] = to_int(category_data.get('order_index'), 0)
+
+        cursor = db.conn.cursor()
+        columns = ', '.join(category_data.keys())
+        placeholders = ', '.join(['?' for _ in category_data])
+        cursor.execute(f"INSERT INTO categories ({columns}) VALUES ({placeholders})",
+                      list(category_data.values()))
+        db.conn.commit()
+        return {"id": cursor.lastrowid, "message": "Category created"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.put("/admin/categories/{cat_id}", dependencies=[Depends(verify_token)])
+async def update_category(cat_id: int, category_data: Dict[str, Any]):
+    """Update category"""
+    try:
+        category_data = dict(category_data)
+        if 'order_index' in category_data:
+            category_data['order_index'] = to_int(category_data.get('order_index'), 0)
+
+        set_clause = ', '.join([f"{k} = ?" for k in category_data.keys()])
+        cursor = db.conn.cursor()
+        cursor.execute(f"UPDATE categories SET {set_clause} WHERE id = ?",
+                      list(category_data.values()) + [cat_id])
+        db.conn.commit()
+        return {"message": "Category updated"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@router.delete("/admin/categories/{cat_id}", dependencies=[Depends(verify_token)])
+async def delete_category(cat_id: int):
+    """Delete category"""
+    try:
+        cursor = db.conn.cursor()
+        cursor.execute("DELETE FROM categories WHERE id = ?", (cat_id,))
+        db.conn.commit()
+        return {"message": "Category deleted"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+# Sponsors CRUD
+@router.post("/admin/sponsors", dependencies=[Depends(verify_token)])
+async def create_sponsor(sponsor_data: Dict[str, Any]):
+    """Create new sponsor"""
+    try:
+        cursor = db.conn.cursor()
+        columns = ', '.join(sponsor_data.keys())
+        placeholders = ', '.join(['?' for _ in sponsor_data])
+        cursor.execute(f"INSERT INTO sponsors ({columns}) VALUES ({placeholders})",
+                      list(sponsor_data.values()))
+        db.conn.commit()
+        return {"id": cursor.lastrowid, "message": "Sponsor created"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+@router.put("/admin/sponsors/{sponsor_id}", dependencies=[Depends(verify_token)])
+async def update_sponsor(sponsor_id: int, sponsor_data: Dict[str, Any]):
+    """Update sponsor"""
+    try:
+        set_clause = ', '.join([f"{k} = ?" for k in sponsor_data.keys()])
+        cursor = db.conn.cursor()
+        cursor.execute(f"UPDATE sponsors SET {set_clause} WHERE id = ?",
+                      list(sponsor_data.values()) + [sponsor_id])
+        db.conn.commit()
+        return {"message": "Sponsor updated"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+
+@router.delete("/admin/sponsors/{sponsor_id}", dependencies=[Depends(verify_token)])
+async def delete_sponsor(sponsor_id: int):
+    """Delete sponsor"""
+    try:
+        cursor = db.conn.cursor()
+        cursor.execute("DELETE FROM sponsors WHERE id = ?", (sponsor_id,))
+        db.conn.commit()
+        return {"message": "Sponsor deleted"}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
+app.include_router(router)
+
+
+@app.get("/")
+async def root():
+    """API info"""
+    return {
+        "name": "Crawl4AI Marketplace API",
+        "version": "1.0.0",
+        "endpoints": [
+            "/marketplace/api/apps",
+            "/marketplace/api/articles",
+            "/marketplace/api/categories",
+            "/marketplace/api/sponsors",
+            "/marketplace/api/search?q=query",
+            "/marketplace/api/stats"
+        ]
+    }
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="127.0.0.1", port=8100)
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/backend/uploads/.gitignore b/docs/md_v2/marketplace/backend/uploads/.gitignore
new file mode 100644
index 00000000..d6b7ef32
--- /dev/null
+++ b/docs/md_v2/marketplace/backend/uploads/.gitignore
@@ -0,0 +1,2 @@
+*
+!.gitignore
diff --git a/docs/md_v2/marketplace/frontend/app-detail.css b/docs/md_v2/marketplace/frontend/app-detail.css
new file mode 100644
index 00000000..9f04c13a
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/app-detail.css
@@ -0,0 +1,462 @@
+/* App Detail Page Styles */
+
+.app-detail-container {
+    min-height: 100vh;
+    background: var(--bg-dark);
+}
+
+/* Back Button */
+.header-nav {
+    display: flex;
+    align-items: center;
+}
+
+.back-btn {
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+    font-size: 0.875rem;
+}
+
+.back-btn:hover {
+    border-color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.1);
+}
+
+/* App Hero Section */
+.app-hero {
+    max-width: 1800px;
+    margin: 2rem auto;
+    padding: 0 2rem;
+}
+
+.app-hero-content {
+    display: grid;
+    grid-template-columns: 1fr 2fr;
+    gap: 3rem;
+    background: linear-gradient(135deg, #1a1a2e, #0f0f1e);
+    border: 2px solid var(--primary-cyan);
+    padding: 2rem;
+    box-shadow: 0 0 30px rgba(80, 255, 255, 0.15),
+                inset 0 0 20px rgba(80, 255, 255, 0.05);
+}
+
+.app-hero-image {
+    width: 100%;
+    height: 300px;
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.1), rgba(243, 128, 245, 0.05));
+    background-size: cover;
+    background-position: center;
+    border: 1px solid var(--border-color);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 4rem;
+    color: var(--primary-cyan);
+}
+
+.app-badges {
+    display: flex;
+    gap: 0.5rem;
+    margin-bottom: 1rem;
+}
+
+.app-badge {
+    padding: 0.3rem 0.6rem;
+    background: var(--bg-tertiary);
+    color: var(--text-secondary);
+    font-size: 0.75rem;
+    text-transform: uppercase;
+    font-weight: 600;
+}
+
+.app-badge.featured {
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    box-shadow: 0 2px 10px rgba(80, 255, 255, 0.3);
+}
+
+.app-badge.sponsored {
+    background: linear-gradient(135deg, var(--warning), #ff8c00);
+    color: var(--bg-dark);
+    box-shadow: 0 2px 10px rgba(245, 158, 11, 0.3);
+}
+
+.app-hero-info h1 {
+    font-size: 2.5rem;
+    color: var(--primary-cyan);
+    margin: 0.5rem 0;
+    text-shadow: 0 0 20px rgba(80, 255, 255, 0.5);
+}
+
+.app-tagline {
+    font-size: 1.1rem;
+    color: var(--text-secondary);
+    margin-bottom: 2rem;
+}
+
+/* Stats */
+.app-stats {
+    display: flex;
+    gap: 2rem;
+    margin: 2rem 0;
+    padding: 1rem 0;
+    border-top: 1px solid var(--border-color);
+    border-bottom: 1px solid var(--border-color);
+}
+
+.stat {
+    display: flex;
+    flex-direction: column;
+    gap: 0.25rem;
+}
+
+.stat-value {
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+.stat-label {
+    font-size: 0.875rem;
+    color: var(--text-tertiary);
+}
+
+/* Action Buttons */
+.app-actions {
+    display: flex;
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.action-btn {
+    padding: 0.75rem 1.5rem;
+    border: 1px solid var(--border-color);
+    background: transparent;
+    color: var(--text-primary);
+    text-decoration: none;
+    display: inline-flex;
+    align-items: center;
+    gap: 0.5rem;
+    transition: all 0.2s;
+    cursor: pointer;
+    font-family: inherit;
+    font-size: 0.9rem;
+}
+
+.action-btn.primary {
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    border-color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+.action-btn.primary:hover {
+    box-shadow: 0 4px 15px rgba(80, 255, 255, 0.3);
+    transform: translateY(-2px);
+}
+
+.action-btn.secondary {
+    border-color: var(--accent-pink);
+    color: var(--accent-pink);
+}
+
+.action-btn.secondary:hover {
+    background: rgba(243, 128, 245, 0.1);
+    box-shadow: 0 4px 15px rgba(243, 128, 245, 0.2);
+}
+
+.action-btn.ghost {
+    border-color: var(--border-color);
+    color: var(--text-secondary);
+}
+
+.action-btn.ghost:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+/* Pricing */
+.pricing-info {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+    font-size: 1.1rem;
+}
+
+.pricing-label {
+    color: var(--text-tertiary);
+}
+
+.pricing-value {
+    color: var(--warning);
+    font-weight: 600;
+}
+
+/* Navigation Tabs */
+.app-nav {
+    max-width: 1800px;
+    margin: 2rem auto 0;
+    padding: 0 2rem;
+    display: flex;
+    gap: 1rem;
+    border-bottom: 2px solid var(--border-color);
+}
+
+.nav-tab {
+    padding: 1rem 1.5rem;
+    background: transparent;
+    border: none;
+    border-bottom: 2px solid transparent;
+    color: var(--text-secondary);
+    cursor: pointer;
+    transition: all 0.2s;
+    font-family: inherit;
+    font-size: 0.9rem;
+    margin-bottom: -2px;
+}
+
+.nav-tab:hover {
+    color: var(--primary-cyan);
+}
+
+.nav-tab.active {
+    color: var(--primary-cyan);
+    border-bottom-color: var(--primary-cyan);
+}
+
+/* Content Sections */
+.app-content {
+    max-width: 1800px;
+    margin: 2rem auto;
+    padding: 0 2rem;
+}
+
+.tab-content {
+    display: none;
+}
+
+.tab-content.active {
+    display: block;
+}
+
+.docs-content {
+    max-width: 1200px;
+    padding: 2rem;
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+}
+
+.docs-content h2 {
+    font-size: 1.8rem;
+    color: var(--primary-cyan);
+    margin-bottom: 1rem;
+    padding-bottom: 0.5rem;
+    border-bottom: 1px solid var(--border-color);
+}
+
+.docs-content h3 {
+    font-size: 1.3rem;
+    color: var(--text-primary);
+    margin: 2rem 0 1rem;
+}
+
+.docs-content h4 {
+    font-size: 1.1rem;
+    color: var(--accent-pink);
+    margin: 1.5rem 0 0.5rem;
+}
+
+.docs-content p {
+    color: var(--text-secondary);
+    line-height: 1.6;
+    margin-bottom: 1rem;
+}
+
+.docs-content code {
+    background: var(--bg-tertiary);
+    padding: 0.2rem 0.4rem;
+    color: var(--primary-cyan);
+    font-family: 'Dank Mono', Monaco, monospace;
+    font-size: 0.9em;
+}
+
+/* Code Blocks */
+.code-block {
+    background: var(--bg-dark);
+    border: 1px solid var(--border-color);
+    margin: 1rem 0;
+    overflow: hidden;
+}
+
+.code-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 0.5rem 1rem;
+    background: var(--bg-tertiary);
+    border-bottom: 1px solid var(--border-color);
+}
+
+.code-lang {
+    color: var(--primary-cyan);
+    font-size: 0.875rem;
+    text-transform: uppercase;
+}
+
+.copy-btn {
+    padding: 0.25rem 0.5rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    cursor: pointer;
+    font-size: 0.75rem;
+    transition: all 0.2s;
+}
+
+.copy-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+.code-block pre {
+    margin: 0;
+    padding: 1rem;
+    overflow-x: auto;
+}
+
+.code-block code {
+    background: transparent;
+    padding: 0;
+    color: var(--text-secondary);
+    font-size: 0.875rem;
+    line-height: 1.5;
+}
+
+/* Feature Grid */
+.feature-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.feature-card {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    padding: 1.5rem;
+    transition: all 0.2s;
+}
+
+.feature-card:hover {
+    border-color: var(--primary-cyan);
+    background: rgba(80, 255, 255, 0.05);
+}
+
+.feature-card h4 {
+    margin-top: 0;
+}
+
+/* Info Box */
+.info-box {
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.05), rgba(243, 128, 245, 0.03));
+    border: 1px solid var(--primary-cyan);
+    border-left: 4px solid var(--primary-cyan);
+    padding: 1.5rem;
+    margin: 2rem 0;
+}
+
+.info-box h4 {
+    margin-top: 0;
+    color: var(--primary-cyan);
+}
+
+/* Support Grid */
+.support-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+    margin: 2rem 0;
+}
+
+.support-card {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    padding: 1.5rem;
+    text-align: center;
+}
+
+.support-card h3 {
+    color: var(--primary-cyan);
+    margin-bottom: 0.5rem;
+}
+
+/* Related Apps */
+.related-apps {
+    max-width: 1800px;
+    margin: 4rem auto;
+    padding: 0 2rem;
+}
+
+.related-apps h2 {
+    font-size: 1.5rem;
+    color: var(--text-primary);
+    margin-bottom: 1.5rem;
+}
+
+.related-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+    gap: 1rem;
+}
+
+.related-app-card {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 1rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.related-app-card:hover {
+    border-color: var(--primary-cyan);
+    transform: translateY(-2px);
+}
+
+/* Responsive */
+@media (max-width: 1024px) {
+    .app-hero-content {
+        grid-template-columns: 1fr;
+    }
+
+    .app-stats {
+        justify-content: space-around;
+    }
+}
+
+@media (max-width: 768px) {
+    .app-hero-info h1 {
+        font-size: 2rem;
+    }
+
+    .app-actions {
+        flex-direction: column;
+    }
+
+    .app-nav {
+        overflow-x: auto;
+        gap: 0;
+    }
+
+    .nav-tab {
+        white-space: nowrap;
+    }
+
+    .feature-grid,
+    .support-grid {
+        grid-template-columns: 1fr;
+    }
+}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/frontend/app-detail.html b/docs/md_v2/marketplace/frontend/app-detail.html
new file mode 100644
index 00000000..92b5a6dd
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/app-detail.html
@@ -0,0 +1,234 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="dark">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>App Details - Crawl4AI Marketplace</title>
+    <link rel="stylesheet" href="marketplace.css">
+    <link rel="stylesheet" href="app-detail.css">
+</head>
+<body>
+    <div class="app-detail-container">
+        <!-- Header -->
+        <header class="marketplace-header">
+            <div class="header-content">
+                <div class="header-left">
+                    <div class="logo-title">
+                        <img src="../../assets/images/logo.png" alt="Crawl4AI" class="header-logo">
+                        <h1>
+                            <span class="ascii-border">[</span>
+                            Marketplace
+                            <span class="ascii-border">]</span>
+                        </h1>
+                    </div>
+                </div>
+                <div class="header-nav">
+                    <a href="index.html" class="back-btn">← Back to Marketplace</a>
+                </div>
+            </div>
+        </header>
+
+        <!-- App Hero Section -->
+        <section class="app-hero">
+            <div class="app-hero-content">
+                <div class="app-hero-image" id="app-image">
+                    <!-- Dynamic image -->
+                </div>
+                <div class="app-hero-info">
+                    <div class="app-badges">
+                        <span class="app-badge" id="app-type">Open Source</span>
+                        <span class="app-badge featured" id="app-featured" style="display:none">FEATURED</span>
+                        <span class="app-badge sponsored" id="app-sponsored" style="display:none">SPONSORED</span>
+                    </div>
+                    <h1 id="app-name">App Name</h1>
+                    <p id="app-description" class="app-tagline">App description goes here</p>
+
+                    <div class="app-stats">
+                        <div class="stat">
+                            <span class="stat-value" id="app-rating">★★★★★</span>
+                            <span class="stat-label">Rating</span>
+                        </div>
+                        <div class="stat">
+                            <span class="stat-value" id="app-downloads">0</span>
+                            <span class="stat-label">Downloads</span>
+                        </div>
+                        <div class="stat">
+                            <span class="stat-value" id="app-category">Category</span>
+                            <span class="stat-label">Category</span>
+                        </div>
+                    </div>
+
+                    <div class="app-actions">
+                        <a href="#" id="app-website" class="action-btn primary" target="_blank">
+                            <span>→</span> Visit Website
+                        </a>
+                        <a href="#" id="app-github" class="action-btn secondary" target="_blank">
+                            <span>⚡</span> View on GitHub
+                        </a>
+                        <button id="copy-integration" class="action-btn ghost">
+                            <span>📋</span> Copy Integration
+                        </button>
+                    </div>
+
+                    <div class="pricing-info">
+                        <span class="pricing-label">Pricing:</span>
+                        <span id="app-pricing" class="pricing-value">Free</span>
+                    </div>
+                </div>
+            </div>
+        </section>
+
+        <!-- Navigation Tabs -->
+        <nav class="app-nav">
+            <button class="nav-tab active" data-tab="integration">Integration Guide</button>
+            <button class="nav-tab" data-tab="docs">Documentation</button>
+            <button class="nav-tab" data-tab="examples">Examples</button>
+            <button class="nav-tab" data-tab="support">Support</button>
+        </nav>
+
+        <!-- Content Sections -->
+        <main class="app-content">
+            <!-- Integration Guide Tab -->
+            <section id="integration-tab" class="tab-content active">
+                <div class="docs-content">
+                    <h2>Quick Start</h2>
+                    <p>Get started with this integration in just a few steps.</p>
+
+                    <h3>Installation</h3>
+                    <div class="code-block">
+                        <div class="code-header">
+                            <span class="code-lang">bash</span>
+                            <button class="copy-btn">Copy</button>
+                        </div>
+                        <pre><code id="install-code">pip install crawl4ai</code></pre>
+                    </div>
+
+                    <h3>Basic Usage</h3>
+                    <div class="code-block">
+                        <div class="code-header">
+                            <span class="code-lang">python</span>
+                            <button class="copy-btn">Copy</button>
+                        </div>
+                        <pre><code id="usage-code">from crawl4ai import AsyncWebCrawler
+
+async def main():
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            # Your configuration here
+        )
+        print(result.markdown)
+
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(main())</code></pre>
+                    </div>
+
+                    <h3>Advanced Configuration</h3>
+                    <p>Customize the crawler with these advanced options:</p>
+
+                    <div class="feature-grid">
+                        <div class="feature-card">
+                            <h4>🚀 Performance</h4>
+                            <p>Optimize crawling speed with parallel processing and caching strategies.</p>
+                        </div>
+                        <div class="feature-card">
+                            <h4>🔒 Authentication</h4>
+                            <p>Handle login forms, cookies, and session management automatically.</p>
+                        </div>
+                        <div class="feature-card">
+                            <h4>🎯 Extraction</h4>
+                            <p>Use CSS selectors, XPath, or AI-powered content extraction.</p>
+                        </div>
+                        <div class="feature-card">
+                            <h4>🔄 Proxy Support</h4>
+                            <p>Rotate proxies and bypass rate limiting with built-in proxy management.</p>
+                        </div>
+                    </div>
+
+                    <h3>Integration Example</h3>
+                    <div class="code-block">
+                        <div class="code-header">
+                            <span class="code-lang">python</span>
+                            <button class="copy-btn">Copy</button>
+                        </div>
+                        <pre><code id="integration-code">from crawl4ai import AsyncWebCrawler
+from crawl4ai.extraction_strategy import LLMExtractionStrategy
+
+async def extract_with_llm():
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            extraction_strategy=LLMExtractionStrategy(
+                provider="openai",
+                api_key="your-api-key",
+                instruction="Extract product information"
+            ),
+            bypass_cache=True
+        )
+        return result.extracted_content
+
+# Run the extraction
+data = await extract_with_llm()
+print(data)</code></pre>
+                    </div>
+
+                    <div class="info-box">
+                        <h4>💡 Pro Tip</h4>
+                        <p>Use the <code>bypass_cache=True</code> parameter when you need fresh data, or set <code>cache_mode="write"</code> to update the cache with new content.</p>
+                    </div>
+                </div>
+            </section>
+
+            <!-- Documentation Tab -->
+            <section id="docs-tab" class="tab-content">
+                <div class="docs-content">
+                    <h2>Documentation</h2>
+                    <p>Complete documentation and API reference.</p>
+                    <!-- Dynamic content loaded here -->
+                </div>
+            </section>
+
+            <!-- Examples Tab -->
+            <section id="examples-tab" class="tab-content">
+                <div class="docs-content">
+                    <h2>Examples</h2>
+                    <p>Real-world examples and use cases.</p>
+                    <!-- Dynamic content loaded here -->
+                </div>
+            </section>
+
+            <!-- Support Tab -->
+            <section id="support-tab" class="tab-content">
+                <div class="docs-content">
+                    <h2>Support</h2>
+                    <div class="support-grid">
+                        <div class="support-card">
+                            <h3>📧 Contact</h3>
+                            <p id="app-contact">contact@example.com</p>
+                        </div>
+                        <div class="support-card">
+                            <h3>🐛 Report Issues</h3>
+                            <p>Found a bug? Report it on GitHub Issues.</p>
+                        </div>
+                        <div class="support-card">
+                            <h3>💬 Community</h3>
+                            <p>Join our Discord for help and discussions.</p>
+                        </div>
+                    </div>
+                </div>
+            </section>
+        </main>
+
+        <!-- Related Apps -->
+        <section class="related-apps">
+            <h2>Related Apps</h2>
+            <div id="related-apps-grid" class="related-grid">
+                <!-- Dynamic related apps -->
+            </div>
+        </section>
+    </div>
+
+    <script src="app-detail.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/frontend/app-detail.js b/docs/md_v2/marketplace/frontend/app-detail.js
new file mode 100644
index 00000000..5bc86d2b
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/app-detail.js
@@ -0,0 +1,334 @@
+// App Detail Page JavaScript
+const { API_BASE, API_ORIGIN } = (() => {
+    const { hostname, port, protocol } = window.location;
+    const isLocalHost = ['localhost', '127.0.0.1', '0.0.0.0'].includes(hostname);
+
+    if (isLocalHost && port && port !== '8100') {
+        const origin = `${protocol}//127.0.0.1:8100`;
+        return { API_BASE: `${origin}/marketplace/api`, API_ORIGIN: origin };
+    }
+
+    return { API_BASE: '/marketplace/api', API_ORIGIN: '' };
+})();
+
+class AppDetailPage {
+    constructor() {
+        this.appSlug = this.getAppSlugFromURL();
+        this.appData = null;
+        this.init();
+    }
+
+    getAppSlugFromURL() {
+        const params = new URLSearchParams(window.location.search);
+        return params.get('app') || '';
+    }
+
+    async init() {
+        if (!this.appSlug) {
+            window.location.href = 'index.html';
+            return;
+        }
+
+        await this.loadAppDetails();
+        this.setupEventListeners();
+        await this.loadRelatedApps();
+    }
+
+    async loadAppDetails() {
+        try {
+            const response = await fetch(`${API_BASE}/apps/${this.appSlug}`);
+            if (!response.ok) throw new Error('App not found');
+
+            this.appData = await response.json();
+            this.renderAppDetails();
+        } catch (error) {
+            console.error('Error loading app details:', error);
+            // Fallback to loading all apps and finding the right one
+            try {
+                const response = await fetch(`${API_BASE}/apps`);
+                const apps = await response.json();
+                this.appData = apps.find(app => app.slug === this.appSlug || app.name.toLowerCase().replace(/\s+/g, '-') === this.appSlug);
+                if (this.appData) {
+                    this.renderAppDetails();
+                } else {
+                    window.location.href = 'index.html';
+                }
+            } catch (err) {
+                console.error('Error loading apps:', err);
+                window.location.href = 'index.html';
+            }
+        }
+    }
+
+    renderAppDetails() {
+        if (!this.appData) return;
+
+        // Update title
+        document.title = `${this.appData.name} - Crawl4AI Marketplace`;
+
+        // Hero image
+        const appImage = document.getElementById('app-image');
+        if (this.appData.image) {
+            appImage.style.backgroundImage = `url('${this.appData.image}')`;
+            appImage.innerHTML = '';
+        } else {
+            appImage.innerHTML = `[${this.appData.category || 'APP'}]`;
+        }
+
+        // Basic info
+        document.getElementById('app-name').textContent = this.appData.name;
+        document.getElementById('app-description').textContent = this.appData.description;
+        document.getElementById('app-type').textContent = this.appData.type || 'Open Source';
+        document.getElementById('app-category').textContent = this.appData.category;
+        document.getElementById('app-pricing').textContent = this.appData.pricing || 'Free';
+
+        // Badges
+        if (this.appData.featured) {
+            document.getElementById('app-featured').style.display = 'inline-block';
+        }
+        if (this.appData.sponsored) {
+            document.getElementById('app-sponsored').style.display = 'inline-block';
+        }
+
+        // Stats
+        const rating = this.appData.rating || 0;
+        const stars = '★'.repeat(Math.floor(rating)) + '☆'.repeat(5 - Math.floor(rating));
+        document.getElementById('app-rating').textContent = stars + ` ${rating}/5`;
+        document.getElementById('app-downloads').textContent = this.formatNumber(this.appData.downloads || 0);
+
+        // Action buttons
+        const websiteBtn = document.getElementById('app-website');
+        const githubBtn = document.getElementById('app-github');
+
+        if (this.appData.website_url) {
+            websiteBtn.href = this.appData.website_url;
+        } else {
+            websiteBtn.style.display = 'none';
+        }
+
+        if (this.appData.github_url) {
+            githubBtn.href = this.appData.github_url;
+        } else {
+            githubBtn.style.display = 'none';
+        }
+
+        // Contact
+        document.getElementById('app-contact').textContent = this.appData.contact_email || 'Not available';
+
+        // Integration guide
+        this.renderIntegrationGuide();
+    }
+
+    renderIntegrationGuide() {
+        // Installation code
+        const installCode = document.getElementById('install-code');
+        if (this.appData.type === 'Open Source' && this.appData.github_url) {
+            installCode.textContent = `# Clone from GitHub
+git clone ${this.appData.github_url}
+
+# Install dependencies
+pip install -r requirements.txt`;
+        } else if (this.appData.name.toLowerCase().includes('api')) {
+            installCode.textContent = `# Install via pip
+pip install ${this.appData.slug}
+
+# Or install from source
+pip install git+${this.appData.github_url || 'https://github.com/example/repo'}`;
+        }
+
+        // Usage code - customize based on category
+        const usageCode = document.getElementById('usage-code');
+        if (this.appData.category === 'Browser Automation') {
+            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+from ${this.appData.slug.replace(/-/g, '_')} import ${this.appData.name.replace(/\s+/g, '')}
+
+async def main():
+    # Initialize ${this.appData.name}
+    automation = ${this.appData.name.replace(/\s+/g, '')}()
+
+    async with AsyncWebCrawler() as crawler:
+        result = await crawler.arun(
+            url="https://example.com",
+            browser_config=automation.config,
+            wait_for="css:body"
+        )
+        print(result.markdown)`;
+        } else if (this.appData.category === 'Proxy Services') {
+            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+import ${this.appData.slug.replace(/-/g, '_')}
+
+# Configure proxy
+proxy_config = {
+    "server": "${this.appData.website_url || 'https://proxy.example.com'}",
+    "username": "your_username",
+    "password": "your_password"
+}
+
+async with AsyncWebCrawler(proxy=proxy_config) as crawler:
+    result = await crawler.arun(
+        url="https://example.com",
+        bypass_cache=True
+    )
+    print(result.status_code)`;
+        } else if (this.appData.category === 'LLM Integration') {
+            usageCode.textContent = `from crawl4ai import AsyncWebCrawler
+from crawl4ai.extraction_strategy import LLMExtractionStrategy
+
+# Configure LLM extraction
+strategy = LLMExtractionStrategy(
+    provider="${this.appData.name.toLowerCase().includes('gpt') ? 'openai' : 'anthropic'}",
+    api_key="your-api-key",
+    model="${this.appData.name.toLowerCase().includes('gpt') ? 'gpt-4' : 'claude-3'}",
+    instruction="Extract structured data"
+)
+
+async with AsyncWebCrawler() as crawler:
+    result = await crawler.arun(
+        url="https://example.com",
+        extraction_strategy=strategy
+    )
+    print(result.extracted_content)`;
+        }
+
+        // Integration example
+        const integrationCode = document.getElementById('integration-code');
+        integrationCode.textContent = this.appData.integration_guide ||
+`# Complete ${this.appData.name} Integration Example
+
+from crawl4ai import AsyncWebCrawler
+from crawl4ai.extraction_strategy import JsonCssExtractionStrategy
+import json
+
+async def crawl_with_${this.appData.slug.replace(/-/g, '_')}():
+    """
+    Complete example showing how to use ${this.appData.name}
+    with Crawl4AI for production web scraping
+    """
+
+    # Define extraction schema
+    schema = {
+        "name": "ProductList",
+        "baseSelector": "div.product",
+        "fields": [
+            {"name": "title", "selector": "h2", "type": "text"},
+            {"name": "price", "selector": ".price", "type": "text"},
+            {"name": "image", "selector": "img", "type": "attribute", "attribute": "src"},
+            {"name": "link", "selector": "a", "type": "attribute", "attribute": "href"}
+        ]
+    }
+
+    # Initialize crawler with ${this.appData.name}
+    async with AsyncWebCrawler(
+        browser_type="chromium",
+        headless=True,
+        verbose=True
+    ) as crawler:
+
+        # Crawl with extraction
+        result = await crawler.arun(
+            url="https://example.com/products",
+            extraction_strategy=JsonCssExtractionStrategy(schema),
+            cache_mode="bypass",
+            wait_for="css:.product",
+            screenshot=True
+        )
+
+        # Process results
+        if result.success:
+            products = json.loads(result.extracted_content)
+            print(f"Found {len(products)} products")
+
+            for product in products[:5]:
+                print(f"- {product['title']}: {product['price']}")
+
+        return products
+
+# Run the crawler
+if __name__ == "__main__":
+    import asyncio
+    asyncio.run(crawl_with_${this.appData.slug.replace(/-/g, '_')}())`;
+    }
+
+    formatNumber(num) {
+        if (num >= 1000000) {
+            return (num / 1000000).toFixed(1) + 'M';
+        } else if (num >= 1000) {
+            return (num / 1000).toFixed(1) + 'K';
+        }
+        return num.toString();
+    }
+
+    setupEventListeners() {
+        // Tab switching
+        const tabs = document.querySelectorAll('.nav-tab');
+        tabs.forEach(tab => {
+            tab.addEventListener('click', () => {
+                // Update active tab
+                tabs.forEach(t => t.classList.remove('active'));
+                tab.classList.add('active');
+
+                // Show corresponding content
+                const tabName = tab.dataset.tab;
+                document.querySelectorAll('.tab-content').forEach(content => {
+                    content.classList.remove('active');
+                });
+                document.getElementById(`${tabName}-tab`).classList.add('active');
+            });
+        });
+
+        // Copy integration code
+        document.getElementById('copy-integration').addEventListener('click', () => {
+            const code = document.getElementById('integration-code').textContent;
+            navigator.clipboard.writeText(code).then(() => {
+                const btn = document.getElementById('copy-integration');
+                const originalText = btn.innerHTML;
+                btn.innerHTML = '<span>✓</span> Copied!';
+                setTimeout(() => {
+                    btn.innerHTML = originalText;
+                }, 2000);
+            });
+        });
+
+        // Copy code buttons
+        document.querySelectorAll('.copy-btn').forEach(btn => {
+            btn.addEventListener('click', (e) => {
+                const codeBlock = e.target.closest('.code-block');
+                const code = codeBlock.querySelector('code').textContent;
+                navigator.clipboard.writeText(code).then(() => {
+                    btn.textContent = 'Copied!';
+                    setTimeout(() => {
+                        btn.textContent = 'Copy';
+                    }, 2000);
+                });
+            });
+        });
+    }
+
+    async loadRelatedApps() {
+        try {
+            const response = await fetch(`${API_BASE}/apps?category=${encodeURIComponent(this.appData.category)}&limit=4`);
+            const apps = await response.json();
+
+            const relatedApps = apps.filter(app => app.slug !== this.appSlug).slice(0, 3);
+            const grid = document.getElementById('related-apps-grid');
+
+            grid.innerHTML = relatedApps.map(app => `
+                <div class="related-app-card" onclick="window.location.href='app-detail.html?app=${app.slug || app.name.toLowerCase().replace(/\s+/g, '-')}'">
+                    <h4>${app.name}</h4>
+                    <p>${app.description.substring(0, 100)}...</p>
+                    <div style="display: flex; justify-content: space-between; margin-top: 0.5rem; font-size: 0.75rem;">
+                        <span style="color: var(--primary-cyan)">${app.type}</span>
+                        <span style="color: var(--warning)">★ ${app.rating}/5</span>
+                    </div>
+                </div>
+            `).join('');
+        } catch (error) {
+            console.error('Error loading related apps:', error);
+        }
+    }
+}
+
+// Initialize when DOM is loaded
+document.addEventListener('DOMContentLoaded', () => {
+    new AppDetailPage();
+});
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/frontend/index.html b/docs/md_v2/marketplace/frontend/index.html
new file mode 100644
index 00000000..d034638d
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/index.html
@@ -0,0 +1,147 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="dark">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Marketplace - Crawl4AI</title>
+    <link rel="stylesheet" href="marketplace.css">
+</head>
+<body>
+    <div class="marketplace-container">
+        <!-- Header -->
+        <header class="marketplace-header">
+            <div class="header-content">
+                <div class="header-left">
+                    <div class="logo-title">
+                        <img src="../../assets/images/logo.png" alt="Crawl4AI" class="header-logo">
+                        <h1>
+                            <span class="ascii-border">[</span>
+                            Marketplace
+                            <span class="ascii-border">]</span>
+                        </h1>
+                    </div>
+                    <p class="tagline">Tools, Integrations & Resources for Web Crawling</p>
+                </div>
+                <div class="header-stats" id="stats">
+                    <span class="stat-item">Apps: <span id="total-apps">--</span></span>
+                    <span class="stat-item">Articles: <span id="total-articles">--</span></span>
+                    <span class="stat-item">Downloads: <span id="total-downloads">--</span></span>
+                </div>
+            </div>
+        </header>
+
+        <!-- Search and Category Bar -->
+        <div class="search-filter-bar">
+            <div class="search-box">
+                <span class="search-icon">></span>
+                <input type="text" id="search-input" placeholder="Search apps, articles, tools..." />
+                <kbd>/</kbd>
+            </div>
+            <div class="category-filter" id="category-filter">
+                <button class="filter-btn active" data-category="all">All</button>
+                <!-- Categories will be loaded here -->
+            </div>
+        </div>
+
+        <!-- Magazine Grid Layout -->
+        <main class="magazine-layout">
+            <!-- Hero Featured Section -->
+            <section class="hero-featured">
+                <div id="featured-hero" class="featured-hero-card">
+                    <!-- Large featured card with big image -->
+                </div>
+            </section>
+
+            <!-- Secondary Featured -->
+            <section class="secondary-featured">
+                <div id="featured-secondary" class="featured-secondary-cards">
+                    <!-- 2-3 medium featured cards with images -->
+                </div>
+            </section>
+
+            <!-- Sponsored Section -->
+            <section class="sponsored-section">
+                <div class="section-label">SPONSORED</div>
+                <div id="sponsored-content" class="sponsored-cards">
+                    <!-- Sponsored content cards -->
+                </div>
+            </section>
+
+            <!-- Main Content Grid -->
+            <section class="main-content">
+                <!-- Apps Column -->
+                <div class="apps-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">></span> Latest Apps</h2>
+                        <select id="type-filter" class="mini-filter">
+                            <option value="">All</option>
+                            <option value="Open Source">Open Source</option>
+                            <option value="Paid">Paid</option>
+                        </select>
+                    </div>
+                    <div id="apps-grid" class="apps-compact-grid">
+                        <!-- Compact app cards -->
+                    </div>
+                </div>
+
+                <!-- Articles Column -->
+                <div class="articles-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">></span> Latest Articles</h2>
+                    </div>
+                    <div id="articles-list" class="articles-compact-list">
+                        <!-- Article items -->
+                    </div>
+                </div>
+
+                <!-- Trending/Tools Column -->
+                <div class="trending-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">#</span> Trending</h2>
+                    </div>
+                    <div id="trending-list" class="trending-items">
+                        <!-- Trending items -->
+                    </div>
+
+                    <div class="submit-box">
+                        <h3><span class="ascii-icon">+</span> Submit Your Tool</h3>
+                        <p>Share your integration</p>
+                        <a href="mailto:marketplace@crawl4ai.com" class="submit-btn">Submit →</a>
+                    </div>
+                </div>
+            </section>
+
+            <!-- More Apps Grid -->
+            <section class="more-apps">
+                <div class="section-header">
+                    <h2><span class="ascii-icon">></span> More Apps</h2>
+                    <button id="load-more" class="load-more-btn">Load More ↓</button>
+                </div>
+                <div id="more-apps-grid" class="more-apps-grid">
+                    <!-- Additional app cards -->
+                </div>
+            </section>
+        </main>
+
+        <!-- Footer -->
+        <footer class="marketplace-footer">
+            <div class="footer-content">
+                <div class="footer-section">
+                    <h3>About Marketplace</h3>
+                    <p>Discover tools and integrations built by the Crawl4AI community.</p>
+                </div>
+                <div class="footer-section">
+                    <h3>Become a Sponsor</h3>
+                    <p>Reach developers building with Crawl4AI</p>
+                    <a href="mailto:sponsors@crawl4ai.com" class="sponsor-btn">Learn More →</a>
+                </div>
+            </div>
+            <div class="footer-bottom">
+                <p>[ Crawl4AI Marketplace · Updated <span id="last-update">--</span> ]</p>
+            </div>
+        </footer>
+    </div>
+
+    <script src="marketplace.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/frontend/marketplace.css b/docs/md_v2/marketplace/frontend/marketplace.css
new file mode 100644
index 00000000..ad26c344
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/marketplace.css
@@ -0,0 +1,957 @@
+/* Marketplace CSS - Magazine Style Terminal Theme */
+@import url('../../assets/styles.css');
+
+:root {
+    --primary-cyan: #50ffff;
+    --primary-teal: #09b5a5;
+    --accent-pink: #f380f5;
+    --bg-dark: #070708;
+    --bg-secondary: #1a1a1a;
+    --bg-tertiary: #3f3f44;
+    --text-primary: #e8e9ed;
+    --text-secondary: #d5cec0;
+    --text-tertiary: #a3abba;
+    --border-color: #3f3f44;
+    --success: #50ff50;
+    --error: #ff3c74;
+    --warning: #f59e0b;
+}
+
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: 'Dank Mono', Monaco, monospace;
+    background: var(--bg-dark);
+    color: var(--text-primary);
+    line-height: 1.6;
+}
+
+/* Global link styles */
+a {
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: color 0.2s;
+}
+
+a:hover {
+    color: var(--accent-pink);
+}
+
+.marketplace-container {
+    min-height: 100vh;
+}
+
+/* Header */
+.marketplace-header {
+    background: var(--bg-secondary);
+    border-bottom: 1px solid var(--border-color);
+    padding: 1.5rem 0;
+}
+
+.header-content {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.logo-title {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+}
+
+.header-logo {
+    height: 40px;
+    width: auto;
+    filter: brightness(1.2);
+}
+
+.marketplace-header h1 {
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    margin: 0;
+}
+
+.ascii-border {
+    color: var(--border-color);
+}
+
+.tagline {
+    font-size: 0.875rem;
+    color: var(--text-tertiary);
+    margin-top: 0.25rem;
+}
+
+.header-stats {
+    display: flex;
+    gap: 2rem;
+}
+
+.stat-item {
+    font-size: 0.875rem;
+    color: var(--text-secondary);
+}
+
+.stat-item span {
+    color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+/* Search and Filter Bar */
+.search-filter-bar {
+    max-width: 1800px;
+    margin: 1.5rem auto;
+    padding: 0 2rem;
+    display: flex;
+    gap: 1rem;
+    align-items: center;
+}
+
+.search-box {
+    flex: 1;
+    max-width: 500px;
+    display: flex;
+    align-items: center;
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 0.75rem 1rem;
+    transition: border-color 0.2s;
+}
+
+.search-box:focus-within {
+    border-color: var(--primary-cyan);
+}
+
+.search-icon {
+    color: var(--text-tertiary);
+    margin-right: 1rem;
+}
+
+#search-input {
+    flex: 1;
+    background: transparent;
+    border: none;
+    color: var(--text-primary);
+    font-family: inherit;
+    font-size: 0.9rem;
+    outline: none;
+}
+
+.search-box kbd {
+    font-size: 0.75rem;
+    padding: 0.2rem 0.5rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-tertiary);
+}
+
+.category-filter {
+    display: flex;
+    gap: 0.5rem;
+    flex-wrap: wrap;
+}
+
+.filter-btn {
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    padding: 0.5rem 1rem;
+    font-family: inherit;
+    font-size: 0.875rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.filter-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+.filter-btn.active {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+    border-color: var(--primary-cyan);
+}
+
+/* Magazine Layout */
+.magazine-layout {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem 4rem;
+    display: grid;
+    grid-template-columns: 1fr;
+    gap: 2rem;
+}
+
+/* Hero Featured Section */
+.hero-featured {
+    grid-column: 1 / -1;
+    position: relative;
+}
+
+.hero-featured::before {
+    content: '';
+    position: absolute;
+    top: -20px;
+    left: -20px;
+    right: -20px;
+    bottom: -20px;
+    background: radial-gradient(ellipse at center, rgba(80, 255, 255, 0.05), transparent 70%);
+    pointer-events: none;
+    z-index: -1;
+}
+
+.featured-hero-card {
+    background: linear-gradient(135deg, #1a1a2e, #0f0f1e);
+    border: 2px solid var(--primary-cyan);
+    box-shadow: 0 0 30px rgba(80, 255, 255, 0.15),
+                inset 0 0 20px rgba(80, 255, 255, 0.05);
+    height: 380px;
+    position: relative;
+    overflow: hidden;
+    cursor: pointer;
+    transition: all 0.3s ease;
+    display: flex;
+    flex-direction: column;
+}
+
+.featured-hero-card:hover {
+    border-color: var(--accent-pink);
+    box-shadow: 0 0 40px rgba(243, 128, 245, 0.2),
+                inset 0 0 30px rgba(243, 128, 245, 0.05);
+    transform: translateY(-2px);
+}
+
+.hero-image {
+    width: 100%;
+    height: 240px;
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.1), rgba(243, 128, 245, 0.05));
+    background-size: cover;
+    background-position: center;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 3rem;
+    color: var(--primary-cyan);
+    flex-shrink: 0;
+    position: relative;
+    filter: brightness(1.1) contrast(1.1);
+}
+
+.hero-image::after {
+    content: '';
+    position: absolute;
+    bottom: 0;
+    left: 0;
+    right: 0;
+    height: 60%;
+    background: linear-gradient(to top, rgba(10, 10, 20, 0.95), transparent);
+}
+
+.hero-content {
+    padding: 1.5rem;
+}
+
+.hero-badge {
+    display: inline-block;
+    padding: 0.3rem 0.6rem;
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    font-size: 0.7rem;
+    text-transform: uppercase;
+    margin-bottom: 0.5rem;
+    font-weight: 600;
+    box-shadow: 0 2px 10px rgba(80, 255, 255, 0.3);
+}
+
+.hero-title {
+    font-size: 1.6rem;
+    color: var(--primary-cyan);
+    margin: 0.5rem 0;
+    text-shadow: 0 0 20px rgba(80, 255, 255, 0.5);
+}
+
+.hero-description {
+    color: var(--text-secondary);
+    line-height: 1.5;
+}
+
+.hero-meta {
+    display: flex;
+    gap: 1.5rem;
+    margin-top: 1rem;
+    font-size: 0.875rem;
+}
+
+.hero-meta span {
+    color: var(--text-tertiary);
+}
+
+.hero-meta span:first-child {
+    color: var(--warning);
+}
+
+/* Secondary Featured */
+.secondary-featured {
+    grid-column: 1 / -1;
+    height: 380px;
+    display: flex;
+    align-items: stretch;
+}
+
+.featured-secondary-cards {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+    justify-content: space-between;
+}
+
+.secondary-card {
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.03), rgba(243, 128, 245, 0.02));
+    border: 1px solid rgba(80, 255, 255, 0.3);
+    cursor: pointer;
+    transition: all 0.3s ease;
+    display: flex;
+    overflow: hidden;
+    height: calc((380px - 1.5rem) / 3);
+    flex: 1;
+    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.3);
+}
+
+.secondary-card:hover {
+    border-color: var(--accent-pink);
+    background: linear-gradient(135deg, rgba(243, 128, 245, 0.05), rgba(80, 255, 255, 0.03));
+    box-shadow: 0 4px 15px rgba(243, 128, 245, 0.2);
+    transform: translateX(-3px);
+}
+
+.secondary-image {
+    width: 120px;
+    background: linear-gradient(135deg, var(--bg-tertiary), var(--bg-secondary));
+    background-size: cover;
+    background-position: center;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    flex-shrink: 0;
+}
+
+.secondary-content {
+    flex: 1;
+    padding: 1rem;
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+}
+
+.secondary-title {
+    font-size: 1rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.secondary-desc {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+    display: -webkit-box;
+    -webkit-line-clamp: 2;
+    -webkit-box-orient: vertical;
+    overflow: hidden;
+}
+
+.secondary-meta {
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+}
+
+.secondary-meta span:last-child {
+    color: var(--warning);
+}
+
+/* Sponsored Section */
+.sponsored-section {
+    grid-column: 1 / -1;
+    background: var(--bg-secondary);
+    border: 1px solid var(--warning);
+    padding: 1rem;
+    position: relative;
+}
+
+.section-label {
+    position: absolute;
+    top: -0.5rem;
+    left: 1rem;
+    background: var(--bg-secondary);
+    padding: 0 0.5rem;
+    color: var(--warning);
+    font-size: 0.65rem;
+    letter-spacing: 0.1em;
+}
+
+.sponsored-cards {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+}
+
+.sponsor-card {
+    padding: 1rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+}
+
+.sponsor-card h4 {
+    color: var(--accent-pink);
+    margin-bottom: 0.5rem;
+}
+
+.sponsor-card p {
+    color: var(--text-secondary);
+    font-size: 0.85rem;
+    margin-bottom: 0.75rem;
+}
+
+.sponsor-card a {
+    color: var(--primary-cyan);
+    text-decoration: none;
+    font-size: 0.85rem;
+}
+
+.sponsor-card a:hover {
+    color: var(--accent-pink);
+}
+
+/* Main Content Grid */
+.main-content {
+    grid-column: 1 / -1;
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 2rem;
+}
+
+/* Column Headers */
+.column-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 1rem;
+    border-bottom: 1px solid var(--border-color);
+    padding-bottom: 0.5rem;
+}
+
+.column-header h2 {
+    font-size: 1.1rem;
+    color: var(--text-primary);
+}
+
+.mini-filter {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    padding: 0.25rem 0.5rem;
+    font-family: inherit;
+    font-size: 0.75rem;
+}
+
+.ascii-icon {
+    color: var(--primary-cyan);
+}
+
+/* Apps Column */
+.apps-compact-grid {
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+}
+
+.app-compact {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    border-left: 3px solid var(--border-color);
+    padding: 0.75rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.app-compact:hover {
+    border-color: var(--primary-cyan);
+    border-left-color: var(--accent-pink);
+    transform: translateX(2px);
+}
+
+.app-compact-header {
+    display: flex;
+    justify-content: space-between;
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+    margin-bottom: 0.25rem;
+}
+
+.app-compact-header span:first-child {
+    color: var(--primary-cyan);
+}
+
+.app-compact-header span:last-child {
+    color: var(--warning);
+}
+
+.app-compact-title {
+    font-size: 0.9rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.app-compact-desc {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+    display: -webkit-box;
+    -webkit-line-clamp: 2;
+    -webkit-box-orient: vertical;
+    overflow: hidden;
+}
+
+/* Articles Column */
+.articles-compact-list {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+}
+
+.article-compact {
+    border-left: 2px solid var(--border-color);
+    padding-left: 1rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.article-compact:hover {
+    border-left-color: var(--primary-cyan);
+}
+
+.article-meta {
+    font-size: 0.7rem;
+    color: var(--text-tertiary);
+    margin-bottom: 0.25rem;
+}
+
+.article-meta span:first-child {
+    color: var(--accent-pink);
+}
+
+.article-title {
+    font-size: 0.9rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.article-author {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+}
+
+/* Trending Column */
+.trending-items {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+}
+
+.trending-item {
+    display: flex;
+    align-items: center;
+    gap: 0.75rem;
+    padding: 0.5rem;
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.trending-item:hover {
+    border-color: var(--primary-cyan);
+}
+
+.trending-rank {
+    font-size: 1.2rem;
+    color: var(--primary-cyan);
+    width: 2rem;
+    text-align: center;
+}
+
+.trending-info {
+    flex: 1;
+}
+
+.trending-name {
+    font-size: 0.85rem;
+    color: var(--text-primary);
+}
+
+.trending-stats {
+    font-size: 0.7rem;
+    color: var(--text-tertiary);
+}
+
+/* Submit Box */
+.submit-box {
+    margin-top: 1.5rem;
+    background: var(--bg-secondary);
+    border: 1px solid var(--primary-cyan);
+    padding: 1rem;
+    text-align: center;
+}
+
+.submit-box h3 {
+    font-size: 1rem;
+    color: var(--primary-cyan);
+    margin-bottom: 0.5rem;
+}
+
+.submit-box p {
+    font-size: 0.8rem;
+    color: var(--text-secondary);
+    margin-bottom: 0.75rem;
+}
+
+.submit-btn {
+    display: inline-block;
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--primary-cyan);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+}
+
+.submit-btn:hover {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+}
+
+/* More Apps Section */
+.more-apps {
+    grid-column: 1 / -1;
+    margin-top: 2rem;
+}
+
+.section-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 1rem;
+}
+
+.more-apps-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+    gap: 1rem;
+}
+
+.load-more-btn {
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    padding: 0.5rem 1.5rem;
+    font-family: inherit;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.load-more-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+/* Footer */
+.marketplace-footer {
+    background: var(--bg-secondary);
+    border-top: 1px solid var(--border-color);
+    margin-top: 4rem;
+    padding: 2rem 0;
+}
+
+.footer-content {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 2rem;
+}
+
+.footer-section h3 {
+    font-size: 1rem;
+    margin-bottom: 0.5rem;
+    color: var(--primary-cyan);
+}
+
+.footer-section p {
+    font-size: 0.875rem;
+    color: var(--text-secondary);
+    margin-bottom: 1rem;
+}
+
+.sponsor-btn {
+    display: inline-block;
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--primary-cyan);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+}
+
+.sponsor-btn:hover {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+}
+
+.footer-bottom {
+    max-width: 1800px;
+    margin: 2rem auto 0;
+    padding: 1rem 2rem 0;
+    border-top: 1px solid var(--border-color);
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+}
+
+/* Modal */
+.modal {
+    position: fixed;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background: rgba(0, 0, 0, 0.8);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 1000;
+}
+
+.modal.hidden {
+    display: none;
+}
+
+.modal-content {
+    background: var(--bg-secondary);
+    border: 1px solid var(--primary-cyan);
+    max-width: 800px;
+    width: 90%;
+    max-height: 80vh;
+    overflow-y: auto;
+    position: relative;
+}
+
+.modal-close {
+    position: absolute;
+    top: 1rem;
+    right: 1rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    padding: 0.25rem 0.5rem;
+    cursor: pointer;
+    font-size: 1.2rem;
+}
+
+.modal-close:hover {
+    border-color: var(--error);
+    color: var(--error);
+}
+
+.app-detail {
+    padding: 2rem;
+}
+
+.app-detail h2 {
+    font-size: 1.5rem;
+    margin-bottom: 1rem;
+    color: var(--primary-cyan);
+}
+
+/* Loading */
+.loading {
+    text-align: center;
+    padding: 2rem;
+    color: var(--text-tertiary);
+}
+
+.no-results {
+    text-align: center;
+    padding: 2rem;
+    color: var(--text-tertiary);
+}
+
+/* Responsive - Tablet */
+@media (min-width: 768px) {
+    .magazine-layout {
+        grid-template-columns: repeat(2, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / -1;
+    }
+
+    .secondary-featured {
+        grid-column: 1 / -1;
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .main-content {
+        grid-column: 1 / -1;
+        grid-template-columns: repeat(2, 1fr);
+    }
+}
+
+/* Responsive - Desktop */
+@media (min-width: 1024px) {
+    .magazine-layout {
+        grid-template-columns: repeat(3, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+        grid-row: 1;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 4;
+        grid-row: 1;
+    }
+
+    .featured-secondary-cards {
+        flex-direction: column;
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .main-content {
+        grid-column: 1 / -1;
+        grid-template-columns: repeat(3, 1fr);
+    }
+}
+
+/* Responsive - Wide Desktop */
+@media (min-width: 1400px) {
+    .magazine-layout {
+        grid-template-columns: repeat(4, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 5;
+        grid-row: 1;
+    }
+
+    .featured-secondary-cards {
+        grid-template-columns: repeat(2, 1fr);
+    }
+
+    .main-content {
+        grid-template-columns: repeat(4, 1fr);
+    }
+
+    .apps-column {
+        grid-column: span 2;
+    }
+
+    .more-apps-grid {
+        grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+    }
+}
+
+/* Responsive - Ultra Wide Desktop (for coders with wide monitors) */
+@media (min-width: 1800px) {
+    .magazine-layout {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 6;
+    }
+
+    .featured-secondary-cards {
+        grid-template-columns: repeat(3, 1fr);
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .sponsored-cards {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .main-content {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .apps-column {
+        grid-column: span 2;
+    }
+
+    .articles-column {
+        grid-column: span 2;
+    }
+
+    .more-apps-grid {
+        grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
+    }
+}
+
+/* Responsive - Mobile */
+@media (max-width: 767px) {
+    .header-content {
+        flex-direction: column;
+        gap: 1rem;
+    }
+
+    .search-filter-bar {
+        flex-direction: column;
+        align-items: stretch;
+    }
+
+    .search-box {
+        max-width: none;
+    }
+
+    .magazine-layout {
+        padding: 0 1rem 2rem;
+    }
+
+    .footer-content {
+        grid-template-columns: 1fr;
+    }
+
+    .secondary-card {
+        flex-direction: column;
+    }
+
+    .secondary-image {
+        width: 100%;
+        height: 150px;
+    }
+}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/frontend/marketplace.js b/docs/md_v2/marketplace/frontend/marketplace.js
new file mode 100644
index 00000000..df07257c
--- /dev/null
+++ b/docs/md_v2/marketplace/frontend/marketplace.js
@@ -0,0 +1,395 @@
+// Marketplace JS - Magazine Layout
+const API_BASE = '/marketplace/api';
+const CACHE_TTL = 3600000; // 1 hour in ms
+
+class MarketplaceCache {
+    constructor() {
+        this.prefix = 'c4ai_market_';
+    }
+
+    get(key) {
+        const item = localStorage.getItem(this.prefix + key);
+        if (!item) return null;
+
+        const data = JSON.parse(item);
+        if (Date.now() > data.expires) {
+            localStorage.removeItem(this.prefix + key);
+            return null;
+        }
+        return data.value;
+    }
+
+    set(key, value, ttl = CACHE_TTL) {
+        const data = {
+            value: value,
+            expires: Date.now() + ttl
+        };
+        localStorage.setItem(this.prefix + key, JSON.stringify(data));
+    }
+
+    clear() {
+        Object.keys(localStorage)
+            .filter(k => k.startsWith(this.prefix))
+            .forEach(k => localStorage.removeItem(k));
+    }
+}
+
+class MarketplaceAPI {
+    constructor() {
+        this.cache = new MarketplaceCache();
+        this.searchTimeout = null;
+    }
+
+    async fetch(endpoint, useCache = true) {
+        const cacheKey = endpoint.replace(/[^\w]/g, '_');
+
+        if (useCache) {
+            const cached = this.cache.get(cacheKey);
+            if (cached) return cached;
+        }
+
+        try {
+            const response = await fetch(`${API_BASE}${endpoint}`);
+            if (!response.ok) throw new Error(`HTTP ${response.status}`);
+
+            const data = await response.json();
+            this.cache.set(cacheKey, data);
+            return data;
+        } catch (error) {
+            console.error('API Error:', error);
+            return null;
+        }
+    }
+
+    async getStats() {
+        return this.fetch('/stats');
+    }
+
+    async getCategories() {
+        return this.fetch('/categories');
+    }
+
+    async getApps(params = {}) {
+        const query = new URLSearchParams(params).toString();
+        return this.fetch(`/apps${query ? '?' + query : ''}`);
+    }
+
+    async getArticles(params = {}) {
+        const query = new URLSearchParams(params).toString();
+        return this.fetch(`/articles${query ? '?' + query : ''}`);
+    }
+
+    async getSponsors() {
+        return this.fetch('/sponsors');
+    }
+
+    async search(query) {
+        if (query.length < 2) return {};
+        return this.fetch(`/search?q=${encodeURIComponent(query)}`, false);
+    }
+}
+
+class MarketplaceUI {
+    constructor() {
+        this.api = new MarketplaceAPI();
+        this.currentCategory = 'all';
+        this.currentType = '';
+        this.searchTimeout = null;
+        this.loadedApps = 10;
+        this.init();
+    }
+
+    async init() {
+        await this.loadStats();
+        await this.loadCategories();
+        await this.loadFeaturedContent();
+        await this.loadSponsors();
+        await this.loadMainContent();
+        this.setupEventListeners();
+    }
+
+    async loadStats() {
+        const stats = await this.api.getStats();
+        if (stats) {
+            document.getElementById('total-apps').textContent = stats.total_apps || '0';
+            document.getElementById('total-articles').textContent = stats.total_articles || '0';
+            document.getElementById('total-downloads').textContent = stats.total_downloads || '0';
+            document.getElementById('last-update').textContent = new Date().toLocaleDateString();
+        }
+    }
+
+    async loadCategories() {
+        const categories = await this.api.getCategories();
+        if (!categories) return;
+
+        const filter = document.getElementById('category-filter');
+        categories.forEach(cat => {
+            const btn = document.createElement('button');
+            btn.className = 'filter-btn';
+            btn.dataset.category = cat.slug;
+            btn.textContent = cat.name;
+            btn.onclick = () => this.filterByCategory(cat.slug);
+            filter.appendChild(btn);
+        });
+    }
+
+    async loadFeaturedContent() {
+        // Load hero featured
+        const featured = await this.api.getApps({ featured: true, limit: 4 });
+        if (!featured || !featured.length) return;
+
+        // Hero card (first featured)
+        const hero = featured[0];
+        const heroCard = document.getElementById('featured-hero');
+        if (hero) {
+            const imageUrl = hero.image || '';
+            heroCard.innerHTML = `
+                <div class="hero-image" ${imageUrl ? `style="background-image: url('${imageUrl}')"` : ''}>
+                    ${!imageUrl ? `[${hero.category || 'APP'}]` : ''}
+                </div>
+                <div class="hero-content">
+                    <span class="hero-badge">${hero.type || 'PAID'}</span>
+                    <h2 class="hero-title">${hero.name}</h2>
+                    <p class="hero-description">${hero.description}</p>
+                    <div class="hero-meta">
+                        <span>★ ${hero.rating || 0}/5</span>
+                        <span>${hero.downloads || 0} downloads</span>
+                    </div>
+                </div>
+            `;
+            heroCard.onclick = () => this.showAppDetail(hero);
+        }
+
+        // Secondary featured cards
+        const secondary = document.getElementById('featured-secondary');
+        secondary.innerHTML = '';
+        if (featured.length > 1) {
+            featured.slice(1, 4).forEach(app => {
+                const card = document.createElement('div');
+                card.className = 'secondary-card';
+                const imageUrl = app.image || '';
+                card.innerHTML = `
+                    <div class="secondary-image" ${imageUrl ? `style="background-image: url('${imageUrl}')"` : ''}>
+                        ${!imageUrl ? `[${app.category || 'APP'}]` : ''}
+                    </div>
+                    <div class="secondary-content">
+                        <h3 class="secondary-title">${app.name}</h3>
+                        <p class="secondary-desc">${(app.description || '').substring(0, 100)}...</p>
+                        <div class="secondary-meta">
+                            <span>${app.type || 'Open Source'}</span> · <span>★ ${app.rating || 0}/5</span>
+                        </div>
+                    </div>
+                `;
+                card.onclick = () => this.showAppDetail(app);
+                secondary.appendChild(card);
+            });
+        }
+    }
+
+    async loadSponsors() {
+        const sponsors = await this.api.getSponsors();
+        if (!sponsors || !sponsors.length) {
+            // Show placeholder if no sponsors
+            const container = document.getElementById('sponsored-content');
+            container.innerHTML = `
+                <div class="sponsor-card">
+                    <h4>Become a Sponsor</h4>
+                    <p>Reach thousands of developers using Crawl4AI</p>
+                    <a href="mailto:sponsors@crawl4ai.com">Contact Us →</a>
+                </div>
+            `;
+            return;
+        }
+
+        const container = document.getElementById('sponsored-content');
+        container.innerHTML = sponsors.slice(0, 5).map(sponsor => `
+            <div class="sponsor-card">
+                <h4>${sponsor.company_name}</h4>
+                <p>${sponsor.tier} Sponsor - Premium Solutions</p>
+                <a href="${sponsor.landing_url}" target="_blank">Learn More →</a>
+            </div>
+        `).join('');
+    }
+
+    async loadMainContent() {
+        // Load apps column
+        const apps = await this.api.getApps({ limit: 8 });
+        if (apps && apps.length) {
+            const appsGrid = document.getElementById('apps-grid');
+            appsGrid.innerHTML = apps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>★ ${app.rating}/5</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                    <div class="app-compact-desc">${app.description}</div>
+                </div>
+            `).join('');
+        }
+
+        // Load articles column
+        const articles = await this.api.getArticles({ limit: 6 });
+        if (articles && articles.length) {
+            const articlesList = document.getElementById('articles-list');
+            articlesList.innerHTML = articles.map(article => `
+                <div class="article-compact" onclick="marketplace.showArticle('${article.id}')">
+                    <div class="article-meta">
+                        <span>${article.category}</span> · <span>${new Date(article.published_at).toLocaleDateString()}</span>
+                    </div>
+                    <div class="article-title">${article.title}</div>
+                    <div class="article-author">by ${article.author}</div>
+                </div>
+            `).join('');
+        }
+
+        // Load trending
+        if (apps && apps.length) {
+            const trending = apps.slice(0, 5);
+            const trendingList = document.getElementById('trending-list');
+            trendingList.innerHTML = trending.map((app, i) => `
+                <div class="trending-item" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="trending-rank">${i + 1}</div>
+                    <div class="trending-info">
+                        <div class="trending-name">${app.name}</div>
+                        <div class="trending-stats">${app.downloads} downloads</div>
+                    </div>
+                </div>
+            `).join('');
+        }
+
+        // Load more apps grid
+        const moreApps = await this.api.getApps({ offset: 8, limit: 12 });
+        if (moreApps && moreApps.length) {
+            const moreGrid = document.getElementById('more-apps-grid');
+            moreGrid.innerHTML = moreApps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>${app.type}</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                </div>
+            `).join('');
+        }
+    }
+
+    setupEventListeners() {
+        // Search
+        const searchInput = document.getElementById('search-input');
+        searchInput.addEventListener('input', (e) => {
+            clearTimeout(this.searchTimeout);
+            this.searchTimeout = setTimeout(() => this.search(e.target.value), 300);
+        });
+
+        // Keyboard shortcut
+        document.addEventListener('keydown', (e) => {
+            if (e.key === '/' && !searchInput.contains(document.activeElement)) {
+                e.preventDefault();
+                searchInput.focus();
+            }
+            if (e.key === 'Escape' && searchInput.contains(document.activeElement)) {
+                searchInput.blur();
+                searchInput.value = '';
+            }
+        });
+
+        // Type filter
+        const typeFilter = document.getElementById('type-filter');
+        typeFilter.addEventListener('change', (e) => {
+            this.currentType = e.target.value;
+            this.loadMainContent();
+        });
+
+        // Load more
+        const loadMore = document.getElementById('load-more');
+        loadMore.addEventListener('click', () => this.loadMoreApps());
+    }
+
+    async filterByCategory(category) {
+        // Update active state
+        document.querySelectorAll('.filter-btn').forEach(btn => {
+            btn.classList.toggle('active', btn.dataset.category === category);
+        });
+
+        this.currentCategory = category;
+        await this.loadMainContent();
+    }
+
+    async search(query) {
+        if (!query) {
+            await this.loadMainContent();
+            return;
+        }
+
+        const results = await this.api.search(query);
+        if (!results) return;
+
+        // Update apps grid with search results
+        if (results.apps && results.apps.length) {
+            const appsGrid = document.getElementById('apps-grid');
+            appsGrid.innerHTML = results.apps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>★ ${app.rating}/5</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                    <div class="app-compact-desc">${app.description}</div>
+                </div>
+            `).join('');
+        }
+
+        // Update articles with search results
+        if (results.articles && results.articles.length) {
+            const articlesList = document.getElementById('articles-list');
+            articlesList.innerHTML = results.articles.map(article => `
+                <div class="article-compact" onclick="marketplace.showArticle('${article.id}')">
+                    <div class="article-meta">
+                        <span>${article.category}</span> · <span>${new Date(article.published_at).toLocaleDateString()}</span>
+                    </div>
+                    <div class="article-title">${article.title}</div>
+                    <div class="article-author">by ${article.author}</div>
+                </div>
+            `).join('');
+        }
+    }
+
+    async loadMoreApps() {
+        this.loadedApps += 12;
+        const moreApps = await this.api.getApps({ offset: this.loadedApps, limit: 12 });
+        if (moreApps && moreApps.length) {
+            const moreGrid = document.getElementById('more-apps-grid');
+            moreApps.forEach(app => {
+                const card = document.createElement('div');
+                card.className = 'app-compact';
+                card.innerHTML = `
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>${app.type}</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                `;
+                card.onclick = () => this.showAppDetail(app);
+                moreGrid.appendChild(card);
+            });
+        }
+    }
+
+    showAppDetail(app) {
+        // Navigate to detail page instead of showing modal
+        const slug = app.slug || app.name.toLowerCase().replace(/\s+/g, '-');
+        window.location.href = `app-detail.html?app=${slug}`;
+    }
+
+    showArticle(articleId) {
+        // Could create article detail page similarly
+        console.log('Show article:', articleId);
+    }
+}
+
+// Initialize marketplace
+let marketplace;
+document.addEventListener('DOMContentLoaded', () => {
+    marketplace = new MarketplaceUI();
+});
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/index.html b/docs/md_v2/marketplace/index.html
new file mode 100644
index 00000000..c425420a
--- /dev/null
+++ b/docs/md_v2/marketplace/index.html
@@ -0,0 +1,147 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="dark">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Marketplace - Crawl4AI</title>
+    <link rel="stylesheet" href="marketplace.css">
+</head>
+<body>
+    <div class="marketplace-container">
+        <!-- Header -->
+        <header class="marketplace-header">
+            <div class="header-content">
+                <div class="header-left">
+                    <div class="logo-title">
+                        <img src="../assets/images/logo.png" alt="Crawl4AI" class="header-logo">
+                        <h1>
+                            <span class="ascii-border">[</span>
+                            Marketplace
+                            <span class="ascii-border">]</span>
+                        </h1>
+                    </div>
+                    <p class="tagline">Tools, Integrations & Resources for Web Crawling</p>
+                </div>
+                <div class="header-stats" id="stats">
+                    <span class="stat-item">Apps: <span id="total-apps">--</span></span>
+                    <span class="stat-item">Articles: <span id="total-articles">--</span></span>
+                    <span class="stat-item">Downloads: <span id="total-downloads">--</span></span>
+                </div>
+            </div>
+        </header>
+
+        <!-- Search and Category Bar -->
+        <div class="search-filter-bar">
+            <div class="search-box">
+                <span class="search-icon">></span>
+                <input type="text" id="search-input" placeholder="Search apps, articles, tools..." />
+                <kbd>/</kbd>
+            </div>
+            <div class="category-filter" id="category-filter">
+                <button class="filter-btn active" data-category="all">All</button>
+                <!-- Categories will be loaded here -->
+            </div>
+        </div>
+
+        <!-- Magazine Grid Layout -->
+        <main class="magazine-layout">
+            <!-- Hero Featured Section -->
+            <section class="hero-featured">
+                <div id="featured-hero" class="featured-hero-card">
+                    <!-- Large featured card with big image -->
+                </div>
+            </section>
+
+            <!-- Secondary Featured -->
+            <section class="secondary-featured">
+                <div id="featured-secondary" class="featured-secondary-cards">
+                    <!-- 2-3 medium featured cards with images -->
+                </div>
+            </section>
+
+            <!-- Sponsored Section -->
+            <section class="sponsored-section">
+                <div class="section-label">SPONSORED</div>
+                <div id="sponsored-content" class="sponsored-cards">
+                    <!-- Sponsored content cards -->
+                </div>
+            </section>
+
+            <!-- Main Content Grid -->
+            <section class="main-content">
+                <!-- Apps Column -->
+                <div class="apps-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">></span> Latest Apps</h2>
+                        <select id="type-filter" class="mini-filter">
+                            <option value="">All</option>
+                            <option value="Open Source">Open Source</option>
+                            <option value="Paid">Paid</option>
+                        </select>
+                    </div>
+                    <div id="apps-grid" class="apps-compact-grid">
+                        <!-- Compact app cards -->
+                    </div>
+                </div>
+
+                <!-- Articles Column -->
+                <div class="articles-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">></span> Latest Articles</h2>
+                    </div>
+                    <div id="articles-list" class="articles-compact-list">
+                        <!-- Article items -->
+                    </div>
+                </div>
+
+                <!-- Trending/Tools Column -->
+                <div class="trending-column">
+                    <div class="column-header">
+                        <h2><span class="ascii-icon">#</span> Trending</h2>
+                    </div>
+                    <div id="trending-list" class="trending-items">
+                        <!-- Trending items -->
+                    </div>
+
+                    <div class="submit-box">
+                        <h3><span class="ascii-icon">+</span> Submit Your Tool</h3>
+                        <p>Share your integration</p>
+                        <a href="mailto:marketplace@crawl4ai.com" class="submit-btn">Submit →</a>
+                    </div>
+                </div>
+            </section>
+
+            <!-- More Apps Grid -->
+            <section class="more-apps">
+                <div class="section-header">
+                    <h2><span class="ascii-icon">></span> More Apps</h2>
+                    <button id="load-more" class="load-more-btn">Load More ↓</button>
+                </div>
+                <div id="more-apps-grid" class="more-apps-grid">
+                    <!-- Additional app cards -->
+                </div>
+            </section>
+        </main>
+
+        <!-- Footer -->
+        <footer class="marketplace-footer">
+            <div class="footer-content">
+                <div class="footer-section">
+                    <h3>About Marketplace</h3>
+                    <p>Discover tools and integrations built by the Crawl4AI community.</p>
+                </div>
+                <div class="footer-section">
+                    <h3>Become a Sponsor</h3>
+                    <p>Reach developers building with Crawl4AI</p>
+                    <a href="mailto:sponsors@crawl4ai.com" class="sponsor-btn">Learn More →</a>
+                </div>
+            </div>
+            <div class="footer-bottom">
+                <p>[ Crawl4AI Marketplace · Updated <span id="last-update">--</span> ]</p>
+            </div>
+        </footer>
+    </div>
+
+    <script src="marketplace.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/marketplace.css b/docs/md_v2/marketplace/marketplace.css
new file mode 100644
index 00000000..57f54d22
--- /dev/null
+++ b/docs/md_v2/marketplace/marketplace.css
@@ -0,0 +1,994 @@
+/* Marketplace CSS - Magazine Style Terminal Theme */
+@import url('../../assets/styles.css');
+
+:root {
+    --primary-cyan: #50ffff;
+    --primary-teal: #09b5a5;
+    --accent-pink: #f380f5;
+    --bg-dark: #070708;
+    --bg-secondary: #1a1a1a;
+    --bg-tertiary: #3f3f44;
+    --text-primary: #e8e9ed;
+    --text-secondary: #d5cec0;
+    --text-tertiary: #a3abba;
+    --border-color: #3f3f44;
+    --success: #50ff50;
+    --error: #ff3c74;
+    --warning: #f59e0b;
+}
+
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: 'Dank Mono', Monaco, monospace;
+    background: var(--bg-dark);
+    color: var(--text-primary);
+    line-height: 1.6;
+}
+
+/* Global link styles */
+a {
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: color 0.2s;
+}
+
+a:hover {
+    color: var(--accent-pink);
+}
+
+.marketplace-container {
+    min-height: 100vh;
+}
+
+/* Header */
+.marketplace-header {
+    background: var(--bg-secondary);
+    border-bottom: 1px solid var(--border-color);
+    padding: 1.5rem 0;
+}
+
+.header-content {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.logo-title {
+    display: flex;
+    align-items: center;
+    gap: 1rem;
+}
+
+.header-logo {
+    height: 40px;
+    width: auto;
+    filter: brightness(1.2);
+}
+
+.marketplace-header h1 {
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    margin: 0;
+}
+
+.ascii-border {
+    color: var(--border-color);
+}
+
+.tagline {
+    font-size: 0.875rem;
+    color: var(--text-tertiary);
+    margin-top: 0.25rem;
+}
+
+.header-stats {
+    display: flex;
+    gap: 2rem;
+}
+
+.stat-item {
+    font-size: 0.875rem;
+    color: var(--text-secondary);
+}
+
+.stat-item span {
+    color: var(--primary-cyan);
+    font-weight: 600;
+}
+
+/* Search and Filter Bar */
+.search-filter-bar {
+    max-width: 1800px;
+    margin: 1.5rem auto;
+    padding: 0 2rem;
+    display: flex;
+    gap: 1rem;
+    align-items: center;
+}
+
+.search-box {
+    flex: 1;
+    max-width: 500px;
+    display: flex;
+    align-items: center;
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    padding: 0.75rem 1rem;
+    transition: border-color 0.2s;
+}
+
+.search-box:focus-within {
+    border-color: var(--primary-cyan);
+}
+
+.search-icon {
+    color: var(--text-tertiary);
+    margin-right: 1rem;
+}
+
+#search-input {
+    flex: 1;
+    background: transparent;
+    border: none;
+    color: var(--text-primary);
+    font-family: inherit;
+    font-size: 0.9rem;
+    outline: none;
+}
+
+.search-box kbd {
+    font-size: 0.75rem;
+    padding: 0.2rem 0.5rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-tertiary);
+}
+
+.category-filter {
+    display: flex;
+    gap: 0.5rem;
+    flex-wrap: wrap;
+}
+
+.filter-btn {
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    padding: 0.5rem 1rem;
+    font-family: inherit;
+    font-size: 0.875rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.filter-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+.filter-btn.active {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+    border-color: var(--primary-cyan);
+}
+
+/* Magazine Layout */
+.magazine-layout {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem 4rem;
+    display: grid;
+    grid-template-columns: 1fr;
+    gap: 2rem;
+}
+
+/* Hero Featured Section */
+.hero-featured {
+    grid-column: 1 / -1;
+    position: relative;
+}
+
+.hero-featured::before {
+    content: '';
+    position: absolute;
+    top: -20px;
+    left: -20px;
+    right: -20px;
+    bottom: -20px;
+    background: radial-gradient(ellipse at center, rgba(80, 255, 255, 0.05), transparent 70%);
+    pointer-events: none;
+    z-index: -1;
+}
+
+.featured-hero-card {
+    background: linear-gradient(135deg, #1a1a2e, #0f0f1e);
+    border: 2px solid var(--primary-cyan);
+    box-shadow: 0 0 30px rgba(80, 255, 255, 0.15),
+                inset 0 0 20px rgba(80, 255, 255, 0.05);
+    height: 380px;
+    position: relative;
+    overflow: hidden;
+    cursor: pointer;
+    transition: all 0.3s ease;
+    display: flex;
+    flex-direction: column;
+}
+
+.featured-hero-card:hover {
+    border-color: var(--accent-pink);
+    box-shadow: 0 0 40px rgba(243, 128, 245, 0.2),
+                inset 0 0 30px rgba(243, 128, 245, 0.05);
+    transform: translateY(-2px);
+}
+
+.hero-image {
+    width: 100%;
+    height: 200px;
+    min-height: 200px;
+    max-height: 200px;
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.1), rgba(243, 128, 245, 0.05));
+    background-size: cover;
+    background-position: center;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 3rem;
+    color: var(--primary-cyan);
+    flex-shrink: 0;
+    position: relative;
+    filter: brightness(1.1) contrast(1.1);
+    overflow: hidden;
+}
+
+.hero-image img {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+    object-position: center;
+}
+
+.hero-image::after {
+    content: '';
+    position: absolute;
+    bottom: 0;
+    left: 0;
+    right: 0;
+    height: 60%;
+    background: linear-gradient(to top, rgba(10, 10, 20, 0.95), transparent);
+}
+
+.hero-content {
+    padding: 1.5rem;
+    flex: 1;
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+}
+
+.hero-badge {
+    display: inline-block;
+    padding: 0.3rem 0.6rem;
+    background: linear-gradient(135deg, var(--primary-cyan), var(--primary-teal));
+    color: var(--bg-dark);
+    font-size: 0.7rem;
+    text-transform: uppercase;
+    margin-bottom: 0.5rem;
+    font-weight: 600;
+    box-shadow: 0 2px 10px rgba(80, 255, 255, 0.3);
+}
+
+.hero-title {
+    font-size: 1.6rem;
+    color: var(--primary-cyan);
+    margin: 0.5rem 0;
+    text-shadow: 0 0 20px rgba(80, 255, 255, 0.5);
+}
+
+.hero-description {
+    color: var(--text-secondary);
+    line-height: 1.5;
+}
+
+.hero-meta {
+    display: flex;
+    gap: 1.5rem;
+    margin-top: 1rem;
+    font-size: 0.875rem;
+}
+
+.hero-meta span {
+    color: var(--text-tertiary);
+}
+
+.hero-meta span:first-child {
+    color: var(--warning);
+}
+
+/* Secondary Featured */
+.secondary-featured {
+    grid-column: 1 / -1;
+    min-height: 380px;
+    display: flex;
+    align-items: flex-start;
+}
+
+.featured-secondary-cards {
+    width: 100%;
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+    align-items: stretch;
+}
+
+.secondary-card {
+    background: linear-gradient(135deg, rgba(80, 255, 255, 0.03), rgba(243, 128, 245, 0.02));
+    border: 1px solid rgba(80, 255, 255, 0.3);
+    cursor: pointer;
+    transition: all 0.3s ease;
+    display: flex;
+    overflow: hidden;
+    height: 118px;
+    min-height: 118px;
+    max-height: 118px;
+    flex-shrink: 0;
+    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.3);
+}
+
+.secondary-card:hover {
+    border-color: var(--accent-pink);
+    background: linear-gradient(135deg, rgba(243, 128, 245, 0.05), rgba(80, 255, 255, 0.03));
+    box-shadow: 0 4px 15px rgba(243, 128, 245, 0.2);
+    transform: translateX(-3px);
+}
+
+.secondary-image {
+    width: 120px;
+    background: linear-gradient(135deg, var(--bg-tertiary), var(--bg-secondary));
+    background-size: cover;
+    background-position: center;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 1.5rem;
+    color: var(--primary-cyan);
+    flex-shrink: 0;
+}
+
+.secondary-content {
+    flex: 1;
+    padding: 1rem;
+    display: flex;
+    flex-direction: column;
+    justify-content: space-between;
+}
+
+.secondary-title {
+    font-size: 1rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.secondary-desc {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+    display: -webkit-box;
+    -webkit-line-clamp: 2;
+    -webkit-box-orient: vertical;
+    overflow: hidden;
+}
+
+.secondary-meta {
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+}
+
+.secondary-meta span:last-child {
+    color: var(--warning);
+}
+
+/* Sponsored Section */
+.sponsored-section {
+    grid-column: 1 / -1;
+    background: var(--bg-secondary);
+    border: 1px solid var(--warning);
+    padding: 1rem;
+    position: relative;
+}
+
+.section-label {
+    position: absolute;
+    top: -0.5rem;
+    left: 1rem;
+    background: var(--bg-secondary);
+    padding: 0 0.5rem;
+    color: var(--warning);
+    font-size: 0.65rem;
+    letter-spacing: 0.1em;
+}
+
+.sponsored-cards {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
+    gap: 1rem;
+}
+
+.sponsor-card {
+    padding: 1rem;
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+}
+
+.sponsor-logo {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    height: 60px;
+    margin-bottom: 0.75rem;
+}
+
+.sponsor-logo img {
+    max-height: 60px;
+    max-width: 100%;
+    width: auto;
+    object-fit: contain;
+}
+
+.sponsor-card h4 {
+    color: var(--accent-pink);
+    margin-bottom: 0.5rem;
+}
+
+.sponsor-card p {
+    color: var(--text-secondary);
+    font-size: 0.85rem;
+    margin-bottom: 0.75rem;
+}
+
+.sponsor-card a {
+    color: var(--primary-cyan);
+    text-decoration: none;
+    font-size: 0.85rem;
+}
+
+.sponsor-card a:hover {
+    color: var(--accent-pink);
+}
+
+/* Main Content Grid */
+.main-content {
+    grid-column: 1 / -1;
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+    gap: 2rem;
+}
+
+/* Column Headers */
+.column-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 1rem;
+    border-bottom: 1px solid var(--border-color);
+    padding-bottom: 0.5rem;
+}
+
+.column-header h2 {
+    font-size: 1.1rem;
+    color: var(--text-primary);
+}
+
+.mini-filter {
+    background: var(--bg-tertiary);
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    padding: 0.25rem 0.5rem;
+    font-family: inherit;
+    font-size: 0.75rem;
+}
+
+.ascii-icon {
+    color: var(--primary-cyan);
+}
+
+/* Apps Column */
+.apps-compact-grid {
+    display: flex;
+    flex-direction: column;
+    gap: 0.75rem;
+}
+
+.app-compact {
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    border-left: 3px solid var(--border-color);
+    padding: 0.75rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.app-compact:hover {
+    border-color: var(--primary-cyan);
+    border-left-color: var(--accent-pink);
+    transform: translateX(2px);
+}
+
+.app-compact-header {
+    display: flex;
+    justify-content: space-between;
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+    margin-bottom: 0.25rem;
+}
+
+.app-compact-header span:first-child {
+    color: var(--primary-cyan);
+}
+
+.app-compact-header span:last-child {
+    color: var(--warning);
+}
+
+.app-compact-title {
+    font-size: 0.9rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.app-compact-desc {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+    display: -webkit-box;
+    -webkit-line-clamp: 2;
+    -webkit-box-orient: vertical;
+    overflow: hidden;
+}
+
+/* Articles Column */
+.articles-compact-list {
+    display: flex;
+    flex-direction: column;
+    gap: 1rem;
+}
+
+.article-compact {
+    border-left: 2px solid var(--border-color);
+    padding-left: 1rem;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.article-compact:hover {
+    border-left-color: var(--primary-cyan);
+}
+
+.article-meta {
+    font-size: 0.7rem;
+    color: var(--text-tertiary);
+    margin-bottom: 0.25rem;
+}
+
+.article-meta span:first-child {
+    color: var(--accent-pink);
+}
+
+.article-title {
+    font-size: 0.9rem;
+    color: var(--text-primary);
+    margin-bottom: 0.25rem;
+}
+
+.article-author {
+    font-size: 0.75rem;
+    color: var(--text-secondary);
+}
+
+/* Trending Column */
+.trending-items {
+    display: flex;
+    flex-direction: column;
+    gap: 0.5rem;
+}
+
+.trending-item {
+    display: flex;
+    align-items: center;
+    gap: 0.75rem;
+    padding: 0.5rem;
+    background: var(--bg-secondary);
+    border: 1px solid var(--border-color);
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.trending-item:hover {
+    border-color: var(--primary-cyan);
+}
+
+.trending-rank {
+    font-size: 1.2rem;
+    color: var(--primary-cyan);
+    width: 2rem;
+    text-align: center;
+}
+
+.trending-info {
+    flex: 1;
+}
+
+.trending-name {
+    font-size: 0.85rem;
+    color: var(--text-primary);
+}
+
+.trending-stats {
+    font-size: 0.7rem;
+    color: var(--text-tertiary);
+}
+
+/* Submit Box */
+.submit-box {
+    margin-top: 1.5rem;
+    background: var(--bg-secondary);
+    border: 1px solid var(--primary-cyan);
+    padding: 1rem;
+    text-align: center;
+}
+
+.submit-box h3 {
+    font-size: 1rem;
+    color: var(--primary-cyan);
+    margin-bottom: 0.5rem;
+}
+
+.submit-box p {
+    font-size: 0.8rem;
+    color: var(--text-secondary);
+    margin-bottom: 0.75rem;
+}
+
+.submit-btn {
+    display: inline-block;
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--primary-cyan);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+}
+
+.submit-btn:hover {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+}
+
+/* More Apps Section */
+.more-apps {
+    grid-column: 1 / -1;
+    margin-top: 2rem;
+}
+
+.section-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 1rem;
+}
+
+.more-apps-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));
+    gap: 1rem;
+}
+
+.load-more-btn {
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-secondary);
+    padding: 0.5rem 1.5rem;
+    font-family: inherit;
+    cursor: pointer;
+    transition: all 0.2s;
+}
+
+.load-more-btn:hover {
+    border-color: var(--primary-cyan);
+    color: var(--primary-cyan);
+}
+
+/* Footer */
+.marketplace-footer {
+    background: var(--bg-secondary);
+    border-top: 1px solid var(--border-color);
+    margin-top: 4rem;
+    padding: 2rem 0;
+}
+
+.footer-content {
+    max-width: 1800px;
+    margin: 0 auto;
+    padding: 0 2rem;
+    display: grid;
+    grid-template-columns: 1fr 1fr;
+    gap: 2rem;
+}
+
+.footer-section h3 {
+    font-size: 1rem;
+    margin-bottom: 0.5rem;
+    color: var(--primary-cyan);
+}
+
+.footer-section p {
+    font-size: 0.875rem;
+    color: var(--text-secondary);
+    margin-bottom: 1rem;
+}
+
+.sponsor-btn {
+    display: inline-block;
+    padding: 0.5rem 1rem;
+    background: transparent;
+    border: 1px solid var(--primary-cyan);
+    color: var(--primary-cyan);
+    text-decoration: none;
+    transition: all 0.2s;
+}
+
+.sponsor-btn:hover {
+    background: var(--primary-cyan);
+    color: var(--bg-dark);
+}
+
+.footer-bottom {
+    max-width: 1800px;
+    margin: 2rem auto 0;
+    padding: 1rem 2rem 0;
+    border-top: 1px solid var(--border-color);
+    font-size: 0.75rem;
+    color: var(--text-tertiary);
+}
+
+/* Modal */
+.modal {
+    position: fixed;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background: rgba(0, 0, 0, 0.8);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 1000;
+}
+
+.modal.hidden {
+    display: none;
+}
+
+.modal-content {
+    background: var(--bg-secondary);
+    border: 1px solid var(--primary-cyan);
+    max-width: 800px;
+    width: 90%;
+    max-height: 80vh;
+    overflow-y: auto;
+    position: relative;
+}
+
+.modal-close {
+    position: absolute;
+    top: 1rem;
+    right: 1rem;
+    background: transparent;
+    border: 1px solid var(--border-color);
+    color: var(--text-primary);
+    padding: 0.25rem 0.5rem;
+    cursor: pointer;
+    font-size: 1.2rem;
+}
+
+.modal-close:hover {
+    border-color: var(--error);
+    color: var(--error);
+}
+
+.app-detail {
+    padding: 2rem;
+}
+
+.app-detail h2 {
+    font-size: 1.5rem;
+    margin-bottom: 1rem;
+    color: var(--primary-cyan);
+}
+
+/* Loading */
+.loading {
+    text-align: center;
+    padding: 2rem;
+    color: var(--text-tertiary);
+}
+
+.no-results {
+    text-align: center;
+    padding: 2rem;
+    color: var(--text-tertiary);
+}
+
+/* Responsive - Tablet */
+@media (min-width: 768px) {
+    .magazine-layout {
+        grid-template-columns: repeat(2, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / -1;
+    }
+
+    .secondary-featured {
+        grid-column: 1 / -1;
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .main-content {
+        grid-column: 1 / -1;
+        grid-template-columns: repeat(2, 1fr);
+    }
+}
+
+/* Responsive - Desktop */
+@media (min-width: 1024px) {
+    .magazine-layout {
+        grid-template-columns: repeat(3, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+        grid-row: 1;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 4;
+        grid-row: 1;
+    }
+
+    .featured-secondary-cards {
+        flex-direction: column;
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .main-content {
+        grid-column: 1 / -1;
+        grid-template-columns: repeat(3, 1fr);
+    }
+}
+
+/* Responsive - Wide Desktop */
+@media (min-width: 1400px) {
+    .magazine-layout {
+        grid-template-columns: repeat(4, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 5;
+        grid-row: 1;
+        min-height: auto;
+    }
+
+    .featured-secondary-cards {
+        display: grid;
+        grid-template-columns: repeat(2, 1fr);
+        flex-direction: unset;
+    }
+
+    .main-content {
+        grid-template-columns: repeat(4, 1fr);
+    }
+
+    .apps-column {
+        grid-column: span 2;
+    }
+
+    .more-apps-grid {
+        grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+    }
+}
+
+/* Responsive - Ultra Wide Desktop (for coders with wide monitors) */
+@media (min-width: 1800px) {
+    .magazine-layout {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .hero-featured {
+        grid-column: 1 / 3;
+    }
+
+    .secondary-featured {
+        grid-column: 3 / 6;
+        min-height: auto;
+    }
+
+    .featured-secondary-cards {
+        display: grid;
+        grid-template-columns: repeat(3, 1fr);
+        flex-direction: unset;
+    }
+
+    .sponsored-section {
+        grid-column: 1 / -1;
+    }
+
+    .sponsored-cards {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .main-content {
+        grid-template-columns: repeat(5, 1fr);
+    }
+
+    .apps-column {
+        grid-column: span 2;
+    }
+
+    .articles-column {
+        grid-column: span 2;
+    }
+
+    .more-apps-grid {
+        grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
+    }
+}
+
+/* Responsive - Mobile */
+@media (max-width: 767px) {
+    .header-content {
+        flex-direction: column;
+        gap: 1rem;
+    }
+
+    .search-filter-bar {
+        flex-direction: column;
+        align-items: stretch;
+    }
+
+    .search-box {
+        max-width: none;
+    }
+
+    .magazine-layout {
+        padding: 0 1rem 2rem;
+    }
+
+    .footer-content {
+        grid-template-columns: 1fr;
+    }
+
+    .secondary-card {
+        flex-direction: column;
+    }
+
+    .secondary-image {
+        width: 100%;
+        height: 150px;
+    }
+}
\ No newline at end of file
diff --git a/docs/md_v2/marketplace/marketplace.js b/docs/md_v2/marketplace/marketplace.js
new file mode 100644
index 00000000..7813e3ba
--- /dev/null
+++ b/docs/md_v2/marketplace/marketplace.js
@@ -0,0 +1,412 @@
+// Marketplace JS - Magazine Layout
+const { API_BASE, API_ORIGIN } = (() => {
+    const { hostname, port } = window.location;
+    if ((hostname === 'localhost' || hostname === '127.0.0.1') && port === '8000') {
+        const origin = 'http://127.0.0.1:8100';
+        return { API_BASE: `${origin}/marketplace/api`, API_ORIGIN: origin };
+    }
+    return { API_BASE: '/marketplace/api', API_ORIGIN: '' };
+})();
+
+const resolveAssetUrl = (path) => {
+    if (!path) return '';
+    if (/^https?:\/\//i.test(path)) return path;
+    if (path.startsWith('/') && API_ORIGIN) {
+        return `${API_ORIGIN}${path}`;
+    }
+    return path;
+};
+const CACHE_TTL = 3600000; // 1 hour in ms
+
+class MarketplaceCache {
+    constructor() {
+        this.prefix = 'c4ai_market_';
+    }
+
+    get(key) {
+        const item = localStorage.getItem(this.prefix + key);
+        if (!item) return null;
+
+        const data = JSON.parse(item);
+        if (Date.now() > data.expires) {
+            localStorage.removeItem(this.prefix + key);
+            return null;
+        }
+        return data.value;
+    }
+
+    set(key, value, ttl = CACHE_TTL) {
+        const data = {
+            value: value,
+            expires: Date.now() + ttl
+        };
+        localStorage.setItem(this.prefix + key, JSON.stringify(data));
+    }
+
+    clear() {
+        Object.keys(localStorage)
+            .filter(k => k.startsWith(this.prefix))
+            .forEach(k => localStorage.removeItem(k));
+    }
+}
+
+class MarketplaceAPI {
+    constructor() {
+        this.cache = new MarketplaceCache();
+        this.searchTimeout = null;
+    }
+
+    async fetch(endpoint, useCache = true) {
+        const cacheKey = endpoint.replace(/[^\w]/g, '_');
+
+        if (useCache) {
+            const cached = this.cache.get(cacheKey);
+            if (cached) return cached;
+        }
+
+        try {
+            const response = await fetch(`${API_BASE}${endpoint}`);
+            if (!response.ok) throw new Error(`HTTP ${response.status}`);
+
+            const data = await response.json();
+            this.cache.set(cacheKey, data);
+            return data;
+        } catch (error) {
+            console.error('API Error:', error);
+            return null;
+        }
+    }
+
+    async getStats() {
+        return this.fetch('/stats');
+    }
+
+    async getCategories() {
+        return this.fetch('/categories');
+    }
+
+    async getApps(params = {}) {
+        const query = new URLSearchParams(params).toString();
+        return this.fetch(`/apps${query ? '?' + query : ''}`);
+    }
+
+    async getArticles(params = {}) {
+        const query = new URLSearchParams(params).toString();
+        return this.fetch(`/articles${query ? '?' + query : ''}`);
+    }
+
+    async getSponsors() {
+        return this.fetch('/sponsors');
+    }
+
+    async search(query) {
+        if (query.length < 2) return {};
+        return this.fetch(`/search?q=${encodeURIComponent(query)}`, false);
+    }
+}
+
+class MarketplaceUI {
+    constructor() {
+        this.api = new MarketplaceAPI();
+        this.currentCategory = 'all';
+        this.currentType = '';
+        this.searchTimeout = null;
+        this.loadedApps = 10;
+        this.init();
+    }
+
+    async init() {
+        await this.loadStats();
+        await this.loadCategories();
+        await this.loadFeaturedContent();
+        await this.loadSponsors();
+        await this.loadMainContent();
+        this.setupEventListeners();
+    }
+
+    async loadStats() {
+        const stats = await this.api.getStats();
+        if (stats) {
+            document.getElementById('total-apps').textContent = stats.total_apps || '0';
+            document.getElementById('total-articles').textContent = stats.total_articles || '0';
+            document.getElementById('total-downloads').textContent = stats.total_downloads || '0';
+            document.getElementById('last-update').textContent = new Date().toLocaleDateString();
+        }
+    }
+
+    async loadCategories() {
+        const categories = await this.api.getCategories();
+        if (!categories) return;
+
+        const filter = document.getElementById('category-filter');
+        categories.forEach(cat => {
+            const btn = document.createElement('button');
+            btn.className = 'filter-btn';
+            btn.dataset.category = cat.slug;
+            btn.textContent = cat.name;
+            btn.onclick = () => this.filterByCategory(cat.slug);
+            filter.appendChild(btn);
+        });
+    }
+
+    async loadFeaturedContent() {
+        // Load hero featured
+        const featured = await this.api.getApps({ featured: true, limit: 4 });
+        if (!featured || !featured.length) return;
+
+        // Hero card (first featured)
+        const hero = featured[0];
+        const heroCard = document.getElementById('featured-hero');
+        if (hero) {
+            const imageUrl = hero.image || '';
+            heroCard.innerHTML = `
+                <div class="hero-image" ${imageUrl ? `style="background-image: url('${imageUrl}')"` : ''}>
+                    ${!imageUrl ? `[${hero.category || 'APP'}]` : ''}
+                </div>
+                <div class="hero-content">
+                    <span class="hero-badge">${hero.type || 'PAID'}</span>
+                    <h2 class="hero-title">${hero.name}</h2>
+                    <p class="hero-description">${hero.description}</p>
+                    <div class="hero-meta">
+                        <span>★ ${hero.rating || 0}/5</span>
+                        <span>${hero.downloads || 0} downloads</span>
+                    </div>
+                </div>
+            `;
+            heroCard.onclick = () => this.showAppDetail(hero);
+        }
+
+        // Secondary featured cards
+        const secondary = document.getElementById('featured-secondary');
+        secondary.innerHTML = '';
+        if (featured.length > 1) {
+            featured.slice(1, 4).forEach(app => {
+                const card = document.createElement('div');
+                card.className = 'secondary-card';
+                const imageUrl = app.image || '';
+                card.innerHTML = `
+                    <div class="secondary-image" ${imageUrl ? `style="background-image: url('${imageUrl}')"` : ''}>
+                        ${!imageUrl ? `[${app.category || 'APP'}]` : ''}
+                    </div>
+                    <div class="secondary-content">
+                        <h3 class="secondary-title">${app.name}</h3>
+                        <p class="secondary-desc">${(app.description || '').substring(0, 100)}...</p>
+                        <div class="secondary-meta">
+                            <span>${app.type || 'Open Source'}</span> · <span>★ ${app.rating || 0}/5</span>
+                        </div>
+                    </div>
+                `;
+                card.onclick = () => this.showAppDetail(app);
+                secondary.appendChild(card);
+            });
+        }
+    }
+
+    async loadSponsors() {
+        const sponsors = await this.api.getSponsors();
+        if (!sponsors || !sponsors.length) {
+            // Show placeholder if no sponsors
+            const container = document.getElementById('sponsored-content');
+            container.innerHTML = `
+                <div class="sponsor-card">
+                    <h4>Become a Sponsor</h4>
+                    <p>Reach thousands of developers using Crawl4AI</p>
+                    <a href="mailto:sponsors@crawl4ai.com">Contact Us →</a>
+                </div>
+            `;
+            return;
+        }
+
+        const container = document.getElementById('sponsored-content');
+        container.innerHTML = sponsors.slice(0, 5).map(sponsor => `
+            <div class="sponsor-card">
+                ${sponsor.logo_url ? `<div class="sponsor-logo"><img src="${resolveAssetUrl(sponsor.logo_url)}" alt="${sponsor.company_name} logo"></div>` : ''}
+                <h4>${sponsor.company_name}</h4>
+                <p>${sponsor.tier} Sponsor - Premium Solutions</p>
+                <a href="${sponsor.landing_url}" target="_blank">Learn More →</a>
+            </div>
+        `).join('');
+    }
+
+    async loadMainContent() {
+        // Load apps column
+        const apps = await this.api.getApps({ limit: 8 });
+        if (apps && apps.length) {
+            const appsGrid = document.getElementById('apps-grid');
+            appsGrid.innerHTML = apps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>★ ${app.rating}/5</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                    <div class="app-compact-desc">${app.description}</div>
+                </div>
+            `).join('');
+        }
+
+        // Load articles column
+        const articles = await this.api.getArticles({ limit: 6 });
+        if (articles && articles.length) {
+            const articlesList = document.getElementById('articles-list');
+            articlesList.innerHTML = articles.map(article => `
+                <div class="article-compact" onclick="marketplace.showArticle('${article.id}')">
+                    <div class="article-meta">
+                        <span>${article.category}</span> · <span>${new Date(article.published_at).toLocaleDateString()}</span>
+                    </div>
+                    <div class="article-title">${article.title}</div>
+                    <div class="article-author">by ${article.author}</div>
+                </div>
+            `).join('');
+        }
+
+        // Load trending
+        if (apps && apps.length) {
+            const trending = apps.slice(0, 5);
+            const trendingList = document.getElementById('trending-list');
+            trendingList.innerHTML = trending.map((app, i) => `
+                <div class="trending-item" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="trending-rank">${i + 1}</div>
+                    <div class="trending-info">
+                        <div class="trending-name">${app.name}</div>
+                        <div class="trending-stats">${app.downloads} downloads</div>
+                    </div>
+                </div>
+            `).join('');
+        }
+
+        // Load more apps grid
+        const moreApps = await this.api.getApps({ offset: 8, limit: 12 });
+        if (moreApps && moreApps.length) {
+            const moreGrid = document.getElementById('more-apps-grid');
+            moreGrid.innerHTML = moreApps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>${app.type}</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                </div>
+            `).join('');
+        }
+    }
+
+    setupEventListeners() {
+        // Search
+        const searchInput = document.getElementById('search-input');
+        searchInput.addEventListener('input', (e) => {
+            clearTimeout(this.searchTimeout);
+            this.searchTimeout = setTimeout(() => this.search(e.target.value), 300);
+        });
+
+        // Keyboard shortcut
+        document.addEventListener('keydown', (e) => {
+            if (e.key === '/' && !searchInput.contains(document.activeElement)) {
+                e.preventDefault();
+                searchInput.focus();
+            }
+            if (e.key === 'Escape' && searchInput.contains(document.activeElement)) {
+                searchInput.blur();
+                searchInput.value = '';
+            }
+        });
+
+        // Type filter
+        const typeFilter = document.getElementById('type-filter');
+        typeFilter.addEventListener('change', (e) => {
+            this.currentType = e.target.value;
+            this.loadMainContent();
+        });
+
+        // Load more
+        const loadMore = document.getElementById('load-more');
+        loadMore.addEventListener('click', () => this.loadMoreApps());
+    }
+
+    async filterByCategory(category) {
+        // Update active state
+        document.querySelectorAll('.filter-btn').forEach(btn => {
+            btn.classList.toggle('active', btn.dataset.category === category);
+        });
+
+        this.currentCategory = category;
+        await this.loadMainContent();
+    }
+
+    async search(query) {
+        if (!query) {
+            await this.loadMainContent();
+            return;
+        }
+
+        const results = await this.api.search(query);
+        if (!results) return;
+
+        // Update apps grid with search results
+        if (results.apps && results.apps.length) {
+            const appsGrid = document.getElementById('apps-grid');
+            appsGrid.innerHTML = results.apps.map(app => `
+                <div class="app-compact" onclick="marketplace.showAppDetail(${JSON.stringify(app).replace(/"/g, '&quot;')})">
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>★ ${app.rating}/5</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                    <div class="app-compact-desc">${app.description}</div>
+                </div>
+            `).join('');
+        }
+
+        // Update articles with search results
+        if (results.articles && results.articles.length) {
+            const articlesList = document.getElementById('articles-list');
+            articlesList.innerHTML = results.articles.map(article => `
+                <div class="article-compact" onclick="marketplace.showArticle('${article.id}')">
+                    <div class="article-meta">
+                        <span>${article.category}</span> · <span>${new Date(article.published_at).toLocaleDateString()}</span>
+                    </div>
+                    <div class="article-title">${article.title}</div>
+                    <div class="article-author">by ${article.author}</div>
+                </div>
+            `).join('');
+        }
+    }
+
+    async loadMoreApps() {
+        this.loadedApps += 12;
+        const moreApps = await this.api.getApps({ offset: this.loadedApps, limit: 12 });
+        if (moreApps && moreApps.length) {
+            const moreGrid = document.getElementById('more-apps-grid');
+            moreApps.forEach(app => {
+                const card = document.createElement('div');
+                card.className = 'app-compact';
+                card.innerHTML = `
+                    <div class="app-compact-header">
+                        <span>${app.category}</span>
+                        <span>${app.type}</span>
+                    </div>
+                    <div class="app-compact-title">${app.name}</div>
+                `;
+                card.onclick = () => this.showAppDetail(app);
+                moreGrid.appendChild(card);
+            });
+        }
+    }
+
+    showAppDetail(app) {
+        // Navigate to detail page instead of showing modal
+        const slug = app.slug || app.name.toLowerCase().replace(/\s+/g, '-');
+        window.location.href = `app-detail.html?app=${slug}`;
+    }
+
+    showArticle(articleId) {
+        // Could create article detail page similarly
+        console.log('Show article:', articleId);
+    }
+}
+
+// Initialize marketplace
+let marketplace;
+document.addEventListener('DOMContentLoaded', () => {
+    marketplace = new MarketplaceUI();
+});
\ No newline at end of file
diff --git a/docs/releases_review/demo_v0.7.5.py b/docs/releases_review/demo_v0.7.5.py
new file mode 100644
index 00000000..bda472ab
--- /dev/null
+++ b/docs/releases_review/demo_v0.7.5.py
@@ -0,0 +1,338 @@
+"""
+🚀 Crawl4AI v0.7.5 Release Demo - Working Examples
+==================================================
+This demo showcases key features introduced in v0.7.5 with real, executable examples.
+
+Featured Demos:
+1. ✅ Docker Hooks System - Real API calls with custom hooks (string & function-based)
+2. ✅ Enhanced LLM Integration - Working LLM configurations
+3. ✅ HTTPS Preservation - Live crawling with HTTPS maintenance
+
+Requirements:
+- crawl4ai v0.7.5 installed
+- Docker running with crawl4ai image (optional for Docker demos)
+- Valid API keys for LLM demos (optional)
+"""
+
+import asyncio
+import requests
+import time
+import sys
+
+from crawl4ai import (AsyncWebCrawler, CrawlerRunConfig, BrowserConfig,
+                      CacheMode, FilterChain, URLPatternFilter, BFSDeepCrawlStrategy,
+                      hooks_to_string)
+from crawl4ai.docker_client import Crawl4aiDockerClient
+    
+
+def print_section(title: str, description: str = ""):
+    """Print a section header"""
+    print(f"\n{'=' * 60}")
+    print(f"{title}")
+    if description:
+        print(f"{description}")
+    print(f"{'=' * 60}\n")
+
+
+async def demo_1_docker_hooks_system():
+    """Demo 1: Docker Hooks System - Real API calls with custom hooks"""
+    print_section(
+        "Demo 1: Docker Hooks System",
+        "Testing both string-based and function-based hooks (NEW in v0.7.5!)"
+    )
+
+    # Check Docker service availability
+    def check_docker_service():
+        try:
+            response = requests.get("http://localhost:11235/", timeout=3)
+            return response.status_code == 200
+        except:
+            return False
+
+    print("Checking Docker service...")
+    docker_running = check_docker_service()
+
+    if not docker_running:
+        print("⚠️  Docker service not running on localhost:11235")
+        print("To test Docker hooks:")
+        print("1. Run: docker run -p 11235:11235 unclecode/crawl4ai:latest")
+        print("2. Wait for service to start")
+        print("3. Re-run this demo\n")
+        return
+
+    print("✓ Docker service detected!")
+
+    # ============================================================================
+    # PART 1: Traditional String-Based Hooks (Works with REST API)
+    # ============================================================================
+    print("\n" + "─" * 60)
+    print("Part 1: String-Based Hooks (REST API)")
+    print("─" * 60)
+
+    hooks_config_string = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("[String Hook] Setting up page context")
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    return page
+""",
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("[String Hook] Before retrieving HTML")
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+"""
+    }
+
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_config_string,
+            "timeout": 30
+        }
+    }
+
+    print("🔧 Using string-based hooks for REST API...")
+    try:
+        start_time = time.time()
+        response = requests.post("http://localhost:11235/crawl", json=payload, timeout=60)
+        execution_time = time.time() - start_time
+
+        if response.status_code == 200:
+            result = response.json()
+            print(f"✅ String-based hooks executed in {execution_time:.2f}s")
+            if result.get('results') and result['results'][0].get('success'):
+                html_length = len(result['results'][0].get('html', ''))
+                print(f"   📄 HTML length: {html_length} characters")
+        else:
+            print(f"❌ Request failed: {response.status_code}")
+    except Exception as e:
+        print(f"❌ Error: {str(e)}")
+
+    # ============================================================================
+    # PART 2: NEW Function-Based Hooks with Docker Client (v0.7.5)
+    # ============================================================================
+    print("\n" + "─" * 60)
+    print("Part 2: Function-Based Hooks with Docker Client (✨ NEW!)")
+    print("─" * 60)
+
+    # Define hooks as regular Python functions
+    async def on_page_context_created_func(page, context, **kwargs):
+        """Block images to speed up crawling"""
+        print("[Function Hook] Setting up page context")
+        await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+        await page.set_viewport_size({"width": 1920, "height": 1080})
+        return page
+
+    async def before_goto_func(page, context, url, **kwargs):
+        """Add custom headers before navigation"""
+        print(f"[Function Hook] About to navigate to {url}")
+        await page.set_extra_http_headers({
+            'X-Crawl4AI': 'v0.7.5-function-hooks',
+            'X-Test-Header': 'demo'
+        })
+        return page
+
+    async def before_retrieve_html_func(page, context, **kwargs):
+        """Scroll to load lazy content"""
+        print("[Function Hook] Scrolling page for lazy-loaded content")
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+        await page.wait_for_timeout(500)
+        await page.evaluate("window.scrollTo(0, 0)")
+        return page
+
+    # Use the hooks_to_string utility (can be used standalone)
+    print("\n📦 Converting functions to strings with hooks_to_string()...")
+    hooks_as_strings = hooks_to_string({
+        "on_page_context_created": on_page_context_created_func,
+        "before_goto": before_goto_func,
+        "before_retrieve_html": before_retrieve_html_func
+    })
+    print(f"   ✓ Converted {len(hooks_as_strings)} hooks to string format")
+
+    # OR use Docker Client which does conversion automatically!
+    print("\n🐳 Using Docker Client with automatic conversion...")
+    try:
+        client = Crawl4aiDockerClient(base_url="http://localhost:11235")
+
+        # Pass function objects directly - conversion happens automatically!
+        results = await client.crawl(
+            urls=["https://httpbin.org/html"],
+            hooks={
+                "on_page_context_created": on_page_context_created_func,
+                "before_goto": before_goto_func,
+                "before_retrieve_html": before_retrieve_html_func
+            },
+            hooks_timeout=30
+        )
+
+        if results and results.success:
+            print(f"✅ Function-based hooks executed successfully!")
+            print(f"   📄 HTML length: {len(results.html)} characters")
+            print(f"   🎯 URL: {results.url}")
+        else:
+            print("⚠️ Crawl completed but may have warnings")
+
+    except Exception as e:
+        print(f"❌ Docker client error: {str(e)}")
+
+    # Show the benefits
+    print("\n" + "=" * 60)
+    print("✨ Benefits of Function-Based Hooks:")
+    print("=" * 60)
+    print("✓ Full IDE support (autocomplete, syntax highlighting)")
+    print("✓ Type checking and linting")
+    print("✓ Easier to test and debug")
+    print("✓ Reusable across projects")
+    print("✓ Automatic conversion in Docker client")
+    print("=" * 60)
+
+
+async def demo_2_enhanced_llm_integration():
+    """Demo 2: Enhanced LLM Integration - Working LLM configurations"""
+    print_section(
+        "Demo 2: Enhanced LLM Integration",
+        "Testing custom LLM providers and configurations"
+    )
+
+    print("🤖 Testing Enhanced LLM Integration Features")
+
+    provider = "gemini/gemini-2.5-flash-lite"
+    payload = {
+        "url": "https://example.com",
+        "f": "llm",
+        "q": "Summarize this page in one sentence.",
+        "provider": provider,  # Explicitly set provider
+        "temperature": 0.7
+    }
+    try:
+        response = requests.post(
+            "http://localhost:11235/md",
+            json=payload,
+            timeout=60
+        )
+        if response.status_code == 200:
+            result = response.json()
+            print(f"✓ Request successful with provider: {provider}")
+            print(f"  - Response keys: {list(result.keys())}")
+            print(f"  - Content length: {len(result.get('markdown', ''))} characters")
+            print(f"  - Note: Actual LLM call may fail without valid API key")
+        else:
+            print(f"❌ Request failed: {response.status_code}")
+            print(f"  - Response: {response.text[:500]}")
+            
+    except Exception as e:
+        print(f"[red]Error: {e}[/]")
+
+
+async def demo_3_https_preservation():
+    """Demo 3: HTTPS Preservation - Live crawling with HTTPS maintenance"""
+    print_section(
+        "Demo 3: HTTPS Preservation",
+        "Testing HTTPS preservation for internal links"
+    )
+
+    print("🔒 Testing HTTPS Preservation Feature")
+
+    # Test with HTTPS preservation enabled
+    print("\nTest 1: HTTPS Preservation ENABLED")
+
+    url_filter = URLPatternFilter(
+        patterns=["^(https:\/\/)?quotes\.toscrape\.com(\/.*)?$"]
+    )
+    config = CrawlerRunConfig(
+        exclude_external_links=True, 
+        stream=True, 
+        verbose=False,
+        preserve_https_for_internal_links=True,
+        deep_crawl_strategy=BFSDeepCrawlStrategy(
+            max_depth=2, 
+            max_pages=5,
+            filter_chain=FilterChain([url_filter])
+        )
+    )
+
+    test_url = "https://quotes.toscrape.com"
+    print(f"🎯 Testing URL: {test_url}")
+
+    async with AsyncWebCrawler() as crawler:
+        async for result in await crawler.arun(url=test_url, config=config):
+            print("✓ HTTPS Preservation Test Completed")
+            internal_links = [i['href'] for i in result.links['internal']]
+            for link in internal_links:
+                print(f"  → {link}")
+
+
+async def main():
+    """Run all demos"""
+    print("\n" + "=" * 60)
+    print("🚀 Crawl4AI v0.7.5 Working Demo")
+    print("=" * 60)
+
+    # Check system requirements
+    print("🔍 System Requirements Check:")
+    print(f"  - Python version: {sys.version.split()[0]} {'✓' if sys.version_info >= (3, 10) else '❌ (3.10+ required)'}")
+
+    try:
+        import requests
+        print(f"  - Requests library: ✓")
+    except ImportError:
+        print(f"  - Requests library: ❌")
+
+    print()
+
+    demos = [
+        ("Docker Hooks System", demo_1_docker_hooks_system),
+        ("Enhanced LLM Integration", demo_2_enhanced_llm_integration),
+        ("HTTPS Preservation", demo_3_https_preservation),
+    ]
+
+    for i, (name, demo_func) in enumerate(demos, 1):
+        try:
+            print(f"\n📍 Starting Demo {i}/{len(demos)}: {name}")
+            await demo_func()
+
+            if i < len(demos):
+                print(f"\n✨ Demo {i} complete! Press Enter for next demo...")
+                input()
+
+        except KeyboardInterrupt:
+            print(f"\n⏹️  Demo interrupted by user")
+            break
+        except Exception as e:
+            print(f"❌ Demo {i} error: {str(e)}")
+            print("Continuing to next demo...")
+            continue
+
+    print("\n" + "=" * 60)
+    print("🎉 Demo Complete!")
+    print("=" * 60)
+    print("You've experienced the power of Crawl4AI v0.7.5!")
+    print("")
+    print("Key Features Demonstrated:")
+    print("🔧 Docker Hooks - String-based & function-based (NEW!)")
+    print("   • hooks_to_string() utility for function conversion")
+    print("   • Docker client with automatic conversion")
+    print("   • Full IDE support and type checking")
+    print("🤖 Enhanced LLM - Better AI integration")
+    print("🔒 HTTPS Preservation - Secure link handling")
+    print("")
+    print("Ready to build something amazing? 🚀")
+    print("")
+    print("📖 Docs: https://docs.crawl4ai.com/")
+    print("🐙 GitHub: https://github.com/unclecode/crawl4ai")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    print("🚀 Crawl4AI v0.7.5 Live Demo Starting...")
+    print("Press Ctrl+C anytime to exit\n")
+
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        print("\n👋 Demo stopped by user. Thanks for trying Crawl4AI v0.7.5!")
+    except Exception as e:
+        print(f"\n❌ Demo error: {str(e)}")
+        print("Make sure you have the required dependencies installed.")
diff --git a/docs/releases_review/demo_v0.7.6.py b/docs/releases_review/demo_v0.7.6.py
new file mode 100644
index 00000000..5d59adff
--- /dev/null
+++ b/docs/releases_review/demo_v0.7.6.py
@@ -0,0 +1,359 @@
+#!/usr/bin/env python3
+"""
+Crawl4AI v0.7.6 Release Demo
+============================
+
+This demo showcases the major feature in v0.7.6:
+**Webhook Support for Docker Job Queue API**
+
+Features Demonstrated:
+1. Asynchronous job processing with webhook notifications
+2. Webhook support for /crawl/job endpoint
+3. Webhook support for /llm/job endpoint
+4. Notification-only vs data-in-payload modes
+5. Custom webhook headers for authentication
+6. Structured extraction with JSON schemas
+7. Exponential backoff retry for reliable delivery
+
+Prerequisites:
+- Crawl4AI Docker container running on localhost:11235
+- Flask installed: pip install flask requests
+- LLM API key configured (for LLM examples)
+
+Usage:
+python docs/releases_review/demo_v0.7.6.py
+"""
+
+import requests
+import json
+import time
+from flask import Flask, request, jsonify
+from threading import Thread
+
+# Configuration
+CRAWL4AI_BASE_URL = "http://localhost:11235"
+WEBHOOK_BASE_URL = "http://localhost:8080"
+
+# Flask app for webhook receiver
+app = Flask(__name__)
+received_webhooks = []
+
+
+@app.route('/webhook', methods=['POST'])
+def webhook_handler():
+    """Universal webhook handler for both crawl and LLM extraction jobs."""
+    payload = request.json
+    task_id = payload['task_id']
+    task_type = payload['task_type']
+    status = payload['status']
+
+    print(f"\n{'='*70}")
+    print(f"📬 Webhook Received!")
+    print(f"   Task ID: {task_id}")
+    print(f"   Task Type: {task_type}")
+    print(f"   Status: {status}")
+    print(f"   Timestamp: {payload['timestamp']}")
+
+    if status == 'completed':
+        if 'data' in payload:
+            print(f"   ✅ Data included in webhook")
+            if task_type == 'crawl':
+                results = payload['data'].get('results', [])
+                print(f"   📊 Crawled {len(results)} URL(s)")
+            elif task_type == 'llm_extraction':
+                extracted = payload['data'].get('extracted_content', {})
+                print(f"   🤖 Extracted: {json.dumps(extracted, indent=6)}")
+        else:
+            print(f"   📥 Notification only (fetch data separately)")
+    elif status == 'failed':
+        print(f"   ❌ Error: {payload.get('error', 'Unknown')}")
+
+    print(f"{'='*70}\n")
+    received_webhooks.append(payload)
+
+    return jsonify({"status": "received"}), 200
+
+
+def start_webhook_server():
+    """Start Flask webhook server in background."""
+    app.run(host='0.0.0.0', port=8080, debug=False, use_reloader=False)
+
+
+def demo_1_crawl_webhook_notification_only():
+    """Demo 1: Crawl job with webhook notification (data fetched separately)."""
+    print("\n" + "="*70)
+    print("DEMO 1: Crawl Job - Webhook Notification Only")
+    print("="*70)
+    print("Submitting crawl job with webhook notification...")
+
+    payload = {
+        "urls": ["https://example.com"],
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"},
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": False,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "crawl"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/crawl/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will notify when complete...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_2_crawl_webhook_with_data():
+    """Demo 2: Crawl job with full data in webhook payload."""
+    print("\n" + "="*70)
+    print("DEMO 2: Crawl Job - Webhook with Full Data")
+    print("="*70)
+    print("Submitting crawl job with data included in webhook...")
+
+    payload = {
+        "urls": ["https://www.python.org"],
+        "browser_config": {"headless": True},
+        "crawler_config": {"cache_mode": "bypass"},
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": True,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "crawl-with-data"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/crawl/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will include full results...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_3_llm_webhook_notification_only():
+    """Demo 3: LLM extraction with webhook notification (NEW in v0.7.6!)."""
+    print("\n" + "="*70)
+    print("DEMO 3: LLM Extraction - Webhook Notification Only (NEW!)")
+    print("="*70)
+    print("Submitting LLM extraction job with webhook notification...")
+
+    payload = {
+        "url": "https://www.example.com",
+        "q": "Extract the main heading and description from this page",
+        "provider": "openai/gpt-4o-mini",
+        "cache": False,
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": False,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "llm"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/llm/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will notify when LLM extraction completes...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_4_llm_webhook_with_schema():
+    """Demo 4: LLM extraction with JSON schema and data in webhook (NEW in v0.7.6!)."""
+    print("\n" + "="*70)
+    print("DEMO 4: LLM Extraction - Schema + Full Data in Webhook (NEW!)")
+    print("="*70)
+    print("Submitting LLM extraction with JSON schema...")
+
+    schema = {
+        "type": "object",
+        "properties": {
+            "title": {"type": "string", "description": "Page title"},
+            "description": {"type": "string", "description": "Page description"},
+            "main_topics": {
+                "type": "array",
+                "items": {"type": "string"},
+                "description": "Main topics covered"
+            }
+        },
+        "required": ["title"]
+    }
+
+    payload = {
+        "url": "https://www.python.org",
+        "q": "Extract the title, description, and main topics from this website",
+        "schema": json.dumps(schema),
+        "provider": "openai/gpt-4o-mini",
+        "cache": False,
+        "webhook_config": {
+            "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+            "webhook_data_in_payload": True,
+            "webhook_headers": {
+                "X-Demo": "v0.7.6",
+                "X-Type": "llm-with-schema"
+            }
+        }
+    }
+
+    response = requests.post(f"{CRAWL4AI_BASE_URL}/llm/job", json=payload)
+    if response.ok:
+        task_id = response.json()['task_id']
+        print(f"✅ Job submitted: {task_id}")
+        print("⏳ Webhook will include structured extraction results...")
+        return task_id
+    else:
+        print(f"❌ Failed: {response.text}")
+        return None
+
+
+def demo_5_global_webhook_config():
+    """Demo 5: Using global webhook configuration from config.yml."""
+    print("\n" + "="*70)
+    print("DEMO 5: Global Webhook Configuration")
+    print("="*70)
+    print("💡 You can configure a default webhook URL in config.yml:")
+    print("""
+    webhooks:
+      enabled: true
+      default_url: "https://myapp.com/webhooks/default"
+      data_in_payload: false
+      retry:
+        max_attempts: 5
+        initial_delay_ms: 1000
+        max_delay_ms: 32000
+        timeout_ms: 30000
+    """)
+    print("Then submit jobs WITHOUT webhook_config - they'll use the default!")
+    print("This is useful for consistent webhook handling across all jobs.")
+
+
+def demo_6_webhook_retry_logic():
+    """Demo 6: Webhook retry mechanism with exponential backoff."""
+    print("\n" + "="*70)
+    print("DEMO 6: Webhook Retry Logic")
+    print("="*70)
+    print("🔄 Webhook delivery uses exponential backoff retry:")
+    print("   • Max attempts: 5")
+    print("   • Delays: 1s → 2s → 4s → 8s → 16s")
+    print("   • Timeout: 30s per attempt")
+    print("   • Retries on: 5xx errors, network errors, timeouts")
+    print("   • No retry on: 4xx client errors")
+    print("\nThis ensures reliable webhook delivery even with temporary failures!")
+
+
+def print_summary():
+    """Print demo summary and results."""
+    print("\n" + "="*70)
+    print("📊 DEMO SUMMARY")
+    print("="*70)
+    print(f"Total webhooks received: {len(received_webhooks)}")
+
+    crawl_webhooks = [w for w in received_webhooks if w['task_type'] == 'crawl']
+    llm_webhooks = [w for w in received_webhooks if w['task_type'] == 'llm_extraction']
+
+    print(f"\nBreakdown:")
+    print(f"  🕷️  Crawl jobs: {len(crawl_webhooks)}")
+    print(f"  🤖 LLM extraction jobs: {len(llm_webhooks)}")
+
+    print(f"\nDetails:")
+    for i, webhook in enumerate(received_webhooks, 1):
+        icon = "🕷️" if webhook['task_type'] == 'crawl' else "🤖"
+        print(f"  {i}. {icon} {webhook['task_id']}: {webhook['status']}")
+
+    print("\n" + "="*70)
+    print("✨ v0.7.6 KEY FEATURES DEMONSTRATED:")
+    print("="*70)
+    print("✅ Webhook support for /crawl/job")
+    print("✅ Webhook support for /llm/job (NEW!)")
+    print("✅ Notification-only mode (fetch data separately)")
+    print("✅ Data-in-payload mode (get full results in webhook)")
+    print("✅ Custom headers for authentication")
+    print("✅ JSON schema for structured LLM extraction")
+    print("✅ Exponential backoff retry for reliable delivery")
+    print("✅ Global webhook configuration support")
+    print("✅ Universal webhook handler for both job types")
+    print("\n💡 Benefits:")
+    print("   • No more polling - get instant notifications")
+    print("   • Better resource utilization")
+    print("   • Reliable delivery with automatic retries")
+    print("   • Consistent API across crawl and LLM jobs")
+    print("   • Production-ready webhook infrastructure")
+
+
+def main():
+    """Run all demos."""
+    print("\n" + "="*70)
+    print("🚀 Crawl4AI v0.7.6 Release Demo")
+    print("="*70)
+    print("Feature: Webhook Support for Docker Job Queue API")
+    print("="*70)
+
+    # Check if server is running
+    try:
+        health = requests.get(f"{CRAWL4AI_BASE_URL}/health", timeout=5)
+        print(f"✅ Crawl4AI server is running")
+    except:
+        print(f"❌ Cannot connect to Crawl4AI at {CRAWL4AI_BASE_URL}")
+        print("Please start Docker container:")
+        print("  docker run -d -p 11235:11235 --env-file .llm.env unclecode/crawl4ai:0.7.6")
+        return
+
+    # Start webhook server
+    print(f"\n🌐 Starting webhook server at {WEBHOOK_BASE_URL}...")
+    webhook_thread = Thread(target=start_webhook_server, daemon=True)
+    webhook_thread.start()
+    time.sleep(2)
+
+    # Run demos
+    demo_1_crawl_webhook_notification_only()
+    time.sleep(5)
+
+    demo_2_crawl_webhook_with_data()
+    time.sleep(5)
+
+    demo_3_llm_webhook_notification_only()
+    time.sleep(5)
+
+    demo_4_llm_webhook_with_schema()
+    time.sleep(5)
+
+    demo_5_global_webhook_config()
+    demo_6_webhook_retry_logic()
+
+    # Wait for webhooks
+    print("\n⏳ Waiting for all webhooks to arrive...")
+    time.sleep(30)
+
+    # Print summary
+    print_summary()
+
+    print("\n" + "="*70)
+    print("✅ Demo completed!")
+    print("="*70)
+    print("\n📚 Documentation:")
+    print("   • deploy/docker/WEBHOOK_EXAMPLES.md")
+    print("   • docs/examples/docker_webhook_example.py")
+    print("\n🔗 Upgrade:")
+    print("   docker pull unclecode/crawl4ai:0.7.6")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/docs/releases_review/v0.7.5_docker_hooks_demo.py b/docs/releases_review/v0.7.5_docker_hooks_demo.py
new file mode 100644
index 00000000..6dbe23f9
--- /dev/null
+++ b/docs/releases_review/v0.7.5_docker_hooks_demo.py
@@ -0,0 +1,655 @@
+#!/usr/bin/env python3
+"""
+🚀 Crawl4AI v0.7.5 - Docker Hooks System Complete Demonstration
+================================================================
+
+This file demonstrates the NEW Docker Hooks System introduced in v0.7.5.
+
+The Docker Hooks System is a completely NEW feature that provides pipeline
+customization through user-provided Python functions. It offers three approaches:
+
+1. String-based hooks for REST API
+2. hooks_to_string() utility to convert functions
+3. Docker Client with automatic conversion (most convenient)
+
+All three approaches are part of this NEW v0.7.5 feature!
+
+Perfect for video recording and demonstration purposes.
+
+Requirements:
+- Docker container running: docker run -p 11235:11235 unclecode/crawl4ai:latest
+- crawl4ai v0.7.5 installed: pip install crawl4ai==0.7.5
+"""
+
+import asyncio
+import requests
+import json
+import time
+from typing import Dict, Any
+
+# Import Crawl4AI components
+from crawl4ai import hooks_to_string
+from crawl4ai.docker_client import Crawl4aiDockerClient
+
+# Configuration
+DOCKER_URL = "http://localhost:11235"
+# DOCKER_URL = "http://localhost:11234"
+TEST_URLS = [
+    # "https://httpbin.org/html",
+    "https://www.kidocode.com",
+    "https://quotes.toscrape.com",
+]
+
+
+def print_section(title: str, description: str = ""):
+    """Print a formatted section header"""
+    print("\n" + "=" * 70)
+    print(f"  {title}")
+    if description:
+        print(f"  {description}")
+    print("=" * 70 + "\n")
+
+
+def check_docker_service() -> bool:
+    """Check if Docker service is running"""
+    try:
+        response = requests.get(f"{DOCKER_URL}/health", timeout=3)
+        return response.status_code == 200
+    except:
+        return False
+
+
+# ============================================================================
+# REUSABLE HOOK LIBRARY (NEW in v0.7.5)
+# ============================================================================
+
+async def performance_optimization_hook(page, context, **kwargs):
+    """
+    Performance Hook: Block unnecessary resources to speed up crawling
+    """
+    print("  [Hook] 🚀 Optimizing performance - blocking images and ads...")
+
+    # Block images
+    await context.route(
+        "**/*.{png,jpg,jpeg,gif,webp,svg,ico}",
+        lambda route: route.abort()
+    )
+
+    # Block ads and analytics
+    await context.route("**/analytics/*", lambda route: route.abort())
+    await context.route("**/ads/*", lambda route: route.abort())
+    await context.route("**/google-analytics.com/*", lambda route: route.abort())
+
+    print("  [Hook] ✓ Performance optimization applied")
+    return page
+
+
+async def viewport_setup_hook(page, context, **kwargs):
+    """
+    Viewport Hook: Set consistent viewport size for rendering
+    """
+    print("  [Hook] 🖥️  Setting viewport to 1920x1080...")
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    print("  [Hook] ✓ Viewport configured")
+    return page
+
+
+async def authentication_headers_hook(page, context, url, **kwargs):
+    """
+    Headers Hook: Add custom authentication and tracking headers
+    """
+    print(f"  [Hook] 🔐 Adding custom headers for {url[:50]}...")
+
+    await page.set_extra_http_headers({
+        'X-Crawl4AI-Version': '0.7.5',
+        'X-Custom-Hook': 'function-based-demo',
+        'Accept-Language': 'en-US,en;q=0.9',
+        'User-Agent': 'Crawl4AI/0.7.5 (Educational Demo)'
+    })
+
+    print("  [Hook] ✓ Custom headers added")
+    return page
+
+
+async def lazy_loading_handler_hook(page, context, **kwargs):
+    """
+    Content Hook: Handle lazy-loaded content by scrolling
+    """
+    print("  [Hook] 📜 Scrolling to load lazy content...")
+
+    # Scroll to bottom
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+
+    # Scroll to middle
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2)")
+    await page.wait_for_timeout(500)
+
+    # Scroll back to top
+    await page.evaluate("window.scrollTo(0, 0)")
+    await page.wait_for_timeout(500)
+
+    print("  [Hook] ✓ Lazy content loaded")
+    return page
+
+
+async def page_analytics_hook(page, context, **kwargs):
+    """
+    Analytics Hook: Log page metrics before extraction
+    """
+    print("  [Hook] 📊 Collecting page analytics...")
+
+    metrics = await page.evaluate('''
+        () => ({
+            title: document.title,
+            images: document.images.length,
+            links: document.links.length,
+            scripts: document.scripts.length,
+            headings: document.querySelectorAll('h1, h2, h3').length,
+            paragraphs: document.querySelectorAll('p').length
+        })
+    ''')
+
+    print(f"  [Hook] 📈 Page: {metrics['title'][:50]}...")
+    print(f"         Links: {metrics['links']}, Images: {metrics['images']}, "
+          f"Headings: {metrics['headings']}, Paragraphs: {metrics['paragraphs']}")
+
+    return page
+
+
+# ============================================================================
+# DEMO 1: String-Based Hooks (NEW Docker Hooks System)
+# ============================================================================
+
+def demo_1_string_based_hooks():
+    """
+    Demonstrate string-based hooks with REST API (part of NEW Docker Hooks System)
+    """
+    print_section(
+        "DEMO 1: String-Based Hooks (REST API)",
+        "Part of the NEW Docker Hooks System - hooks as strings"
+    )
+
+    # Define hooks as strings
+    hooks_config = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("  [String Hook] Setting up page context...")
+    # Block images for performance
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+""",
+
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"  [String Hook] Navigating to {url[:50]}...")
+    await page.set_extra_http_headers({
+        'X-Crawl4AI': 'string-based-hooks',
+        'X-Demo': 'v0.7.5'
+    })
+    return page
+""",
+
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("  [String Hook] Scrolling page...")
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+"""
+    }
+
+    # Prepare request payload
+    payload = {
+        "urls": [TEST_URLS[0]],
+        "hooks": {
+            "code": hooks_config,
+            "timeout": 30
+        },
+        "crawler_config": {
+            "cache_mode": "bypass"
+        }
+    }
+
+    print(f"🎯 Target URL: {TEST_URLS[0]}")
+    print(f"🔧 Configured {len(hooks_config)} string-based hooks")
+    print(f"📡 Sending request to Docker API...\n")
+
+    try:
+        start_time = time.time()
+        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
+        execution_time = time.time() - start_time
+
+        if response.status_code == 200:
+            result = response.json()
+
+            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
+
+            # Display results
+            if result.get('results') and result['results'][0].get('success'):
+                crawl_result = result['results'][0]
+                html_length = len(crawl_result.get('html', ''))
+                markdown_length = len(crawl_result.get('markdown', ''))
+
+                print(f"\n📊 Results:")
+                print(f"   • HTML length: {html_length:,} characters")
+                print(f"   • Markdown length: {markdown_length:,} characters")
+                print(f"   • URL: {crawl_result.get('url')}")
+
+                # Check hooks execution
+                if 'hooks' in result:
+                    hooks_info = result['hooks']
+                    print(f"\n🎣 Hooks Execution:")
+                    print(f"   • Status: {hooks_info['status']['status']}")
+                    print(f"   • Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
+
+                    if 'summary' in hooks_info:
+                        summary = hooks_info['summary']
+                        print(f"   • Total executions: {summary['total_executions']}")
+                        print(f"   • Successful: {summary['successful']}")
+                        print(f"   • Success rate: {summary['success_rate']:.1f}%")
+            else:
+                print(f"⚠️ Crawl completed but no results")
+
+        else:
+            print(f"❌ Request failed with status {response.status_code}")
+            print(f"   Error: {response.text[:200]}")
+
+    except requests.exceptions.Timeout:
+        print("⏰ Request timed out after 60 seconds")
+    except Exception as e:
+        print(f"❌ Error: {str(e)}")
+
+    print("\n" + "─" * 70)
+    print("✓ String-based hooks demo complete\n")
+
+
+# ============================================================================
+# DEMO 2: Function-Based Hooks with hooks_to_string() Utility
+# ============================================================================
+
+def demo_2_hooks_to_string_utility():
+    """
+    Demonstrate the new hooks_to_string() utility for converting functions
+    """
+    print_section(
+        "DEMO 2: hooks_to_string() Utility (NEW! ✨)",
+        "Convert Python functions to strings for REST API"
+    )
+
+    print("📦 Creating hook functions...")
+    print("   • performance_optimization_hook")
+    print("   • viewport_setup_hook")
+    print("   • authentication_headers_hook")
+    print("   • lazy_loading_handler_hook")
+
+    # Convert function objects to strings using the NEW utility
+    print("\n🔄 Converting functions to strings with hooks_to_string()...")
+
+    hooks_dict = {
+        "on_page_context_created": performance_optimization_hook,
+        "before_goto": authentication_headers_hook,
+        "before_retrieve_html": lazy_loading_handler_hook,
+    }
+
+    hooks_as_strings = hooks_to_string(hooks_dict)
+
+    print(f"✅ Successfully converted {len(hooks_as_strings)} functions to strings")
+
+    # Show a preview
+    print("\n📝 Sample converted hook (first 250 characters):")
+    print("─" * 70)
+    sample_hook = list(hooks_as_strings.values())[0]
+    print(sample_hook[:250] + "...")
+    print("─" * 70)
+
+    # Use the converted hooks with REST API
+    print("\n📡 Using converted hooks with REST API...")
+
+    payload = {
+        "urls": [TEST_URLS[0]],
+        "hooks": {
+            "code": hooks_as_strings,
+            "timeout": 30
+        }
+    }
+
+    try:
+        start_time = time.time()
+        response = requests.post(f"{DOCKER_URL}/crawl", json=payload, timeout=60)
+        execution_time = time.time() - start_time
+
+        if response.status_code == 200:
+            result = response.json()
+            print(f"\n✅ Request successful! (took {execution_time:.2f}s)")
+
+            if result.get('results') and result['results'][0].get('success'):
+                crawl_result = result['results'][0]
+                print(f"   • HTML length: {len(crawl_result.get('html', '')):,} characters")
+                print(f"   • Hooks executed successfully!")
+        else:
+            print(f"❌ Request failed: {response.status_code}")
+
+    except Exception as e:
+        print(f"❌ Error: {str(e)}")
+
+    print("\n💡 Benefits of hooks_to_string():")
+    print("   ✓ Write hooks as regular Python functions")
+    print("   ✓ Full IDE support (autocomplete, syntax highlighting)")
+    print("   ✓ Type checking and linting")
+    print("   ✓ Easy to test and debug")
+    print("   ✓ Reusable across projects")
+    print("   ✓ Works with any REST API client")
+
+    print("\n" + "─" * 70)
+    print("✓ hooks_to_string() utility demo complete\n")
+
+
+# ============================================================================
+# DEMO 3: Docker Client with Automatic Conversion (RECOMMENDED! 🌟)
+# ============================================================================
+
+async def demo_3_docker_client_auto_conversion():
+    """
+    Demonstrate Docker Client with automatic hook conversion (RECOMMENDED)
+    """
+    print_section(
+        "DEMO 3: Docker Client with Auto-Conversion (RECOMMENDED! 🌟)",
+        "Pass function objects directly - conversion happens automatically!"
+    )
+
+    print("🐳 Initializing Crawl4AI Docker Client...")
+    client = Crawl4aiDockerClient(base_url=DOCKER_URL)
+
+    print("✅ Client ready!\n")
+
+    # Use our reusable hook library - just pass the function objects!
+    print("📚 Using reusable hook library:")
+    print("   • performance_optimization_hook")
+    print("   • viewport_setup_hook")
+    print("   • authentication_headers_hook")
+    print("   • lazy_loading_handler_hook")
+    print("   • page_analytics_hook")
+
+    print("\n🎯 Target URL: " + TEST_URLS[1])
+    print("🚀 Starting crawl with automatic hook conversion...\n")
+
+    try:
+        start_time = time.time()
+
+        # Pass function objects directly - NO manual conversion needed! ✨
+        results = await client.crawl(
+            urls=[TEST_URLS[0]],
+            hooks={
+                "on_page_context_created": performance_optimization_hook,
+                "before_goto": authentication_headers_hook,
+                "before_retrieve_html": lazy_loading_handler_hook,
+                "before_return_html": page_analytics_hook,
+            },
+            hooks_timeout=30
+        )
+
+        execution_time = time.time() - start_time
+
+        print(f"\n✅ Crawl completed! (took {execution_time:.2f}s)\n")
+
+        # Display results
+        if results and results.success:
+            result = results
+            print(f"📊 Results:")
+            print(f"   • URL: {result.url}")
+            print(f"   • Success: {result.success}")
+            print(f"   • HTML length: {len(result.html):,} characters")
+            print(f"   • Markdown length: {len(result.markdown):,} characters")
+
+            # Show metadata
+            if result.metadata:
+                print(f"\n📋 Metadata:")
+                print(f"   • Title: {result.metadata.get('title', 'N/A')}")
+                print(f"   • Description: {result.metadata.get('description', 'N/A')}")
+
+            # Show links
+            if result.links:
+                internal_count = len(result.links.get('internal', []))
+                external_count = len(result.links.get('external', []))
+                print(f"\n🔗 Links Found:")
+                print(f"   • Internal: {internal_count}")
+                print(f"   • External: {external_count}")
+        else:
+            print(f"⚠️ Crawl completed but no successful results")
+            if results:
+                print(f"   Error: {results.error_message}")
+
+    except Exception as e:
+        print(f"❌ Error: {str(e)}")
+        import traceback
+        traceback.print_exc()
+
+    print("\n🌟 Why Docker Client is RECOMMENDED:")
+    print("   ✓ Automatic function-to-string conversion")
+    print("   ✓ No manual hooks_to_string() calls needed")
+    print("   ✓ Cleaner, more Pythonic code")
+    print("   ✓ Full type hints and IDE support")
+    print("   ✓ Built-in error handling")
+    print("   ✓ Async/await support")
+
+    print("\n" + "─" * 70)
+    print("✓ Docker Client auto-conversion demo complete\n")
+
+
+# ============================================================================
+# DEMO 4: Advanced Use Case - Complete Hook Pipeline
+# ============================================================================
+
+async def demo_4_complete_hook_pipeline():
+    """
+    Demonstrate a complete hook pipeline using all 8 hook points
+    """
+    print_section(
+        "DEMO 4: Complete Hook Pipeline",
+        "Using all 8 available hook points for comprehensive control"
+    )
+
+    # Define all 8 hooks
+    async def on_browser_created_hook(browser, **kwargs):
+        """Hook 1: Called after browser is created"""
+        print("  [Pipeline] 1/8 Browser created")
+        return browser
+
+    async def on_page_context_created_hook(page, context, **kwargs):
+        """Hook 2: Called after page context is created"""
+        print("  [Pipeline] 2/8 Page context created - setting up...")
+        await page.set_viewport_size({"width": 1920, "height": 1080})
+        return page
+
+    async def on_user_agent_updated_hook(page, context, user_agent, **kwargs):
+        """Hook 3: Called when user agent is updated"""
+        print(f"  [Pipeline] 3/8 User agent updated: {user_agent[:50]}...")
+        return page
+
+    async def before_goto_hook(page, context, url, **kwargs):
+        """Hook 4: Called before navigating to URL"""
+        print(f"  [Pipeline] 4/8 Before navigation to: {url[:60]}...")
+        return page
+
+    async def after_goto_hook(page, context, url, response, **kwargs):
+        """Hook 5: Called after navigation completes"""
+        print(f"  [Pipeline] 5/8 After navigation - Status: {response.status if response else 'N/A'}")
+        await page.wait_for_timeout(1000)
+        return page
+
+    async def on_execution_started_hook(page, context, **kwargs):
+        """Hook 6: Called when JavaScript execution starts"""
+        print("  [Pipeline] 6/8 JavaScript execution started")
+        return page
+
+    async def before_retrieve_html_hook(page, context, **kwargs):
+        """Hook 7: Called before retrieving HTML"""
+        print("  [Pipeline] 7/8 Before HTML retrieval - scrolling...")
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+        return page
+
+    async def before_return_html_hook(page, context, html, **kwargs):
+        """Hook 8: Called before returning HTML"""
+        print(f"  [Pipeline] 8/8 Before return - HTML length: {len(html):,} chars")
+        return page
+
+    print("🎯 Target URL: " + TEST_URLS[0])
+    print("🔧 Configured ALL 8 hook points for complete pipeline control\n")
+
+    client = Crawl4aiDockerClient(base_url=DOCKER_URL)
+
+    try:
+        print("🚀 Starting complete pipeline crawl...\n")
+        start_time = time.time()
+
+        results = await client.crawl(
+            urls=[TEST_URLS[0]],
+            hooks={
+                "on_browser_created": on_browser_created_hook,
+                "on_page_context_created": on_page_context_created_hook,
+                "on_user_agent_updated": on_user_agent_updated_hook,
+                "before_goto": before_goto_hook,
+                "after_goto": after_goto_hook,
+                "on_execution_started": on_execution_started_hook,
+                "before_retrieve_html": before_retrieve_html_hook,
+                "before_return_html": before_return_html_hook,
+            },
+            hooks_timeout=45
+        )
+
+        execution_time = time.time() - start_time
+
+        if results and results.success:
+            print(f"\n✅ Complete pipeline executed successfully! (took {execution_time:.2f}s)")
+            print(f"   • All 8 hooks executed in sequence")
+            print(f"   • HTML length: {len(results.html):,} characters")
+        else:
+            print(f"⚠️ Pipeline completed with warnings")
+
+    except Exception as e:
+        print(f"❌ Error: {str(e)}")
+
+    print("\n📚 Available Hook Points:")
+    print("   1. on_browser_created - Browser initialization")
+    print("   2. on_page_context_created - Page context setup")
+    print("   3. on_user_agent_updated - User agent configuration")
+    print("   4. before_goto - Pre-navigation setup")
+    print("   5. after_goto - Post-navigation processing")
+    print("   6. on_execution_started - JavaScript execution start")
+    print("   7. before_retrieve_html - Pre-extraction processing")
+    print("   8. before_return_html - Final HTML processing")
+
+    print("\n" + "─" * 70)
+    print("✓ Complete hook pipeline demo complete\n")
+
+
+# ============================================================================
+# MAIN EXECUTION
+# ============================================================================
+
+async def main():
+    """
+    Run all demonstrations
+    """
+    print("\n" + "=" * 70)
+    print("  🚀 Crawl4AI v0.7.5 - Docker Hooks Complete Demonstration")
+    print("=" * 70)
+
+    # Check Docker service
+    print("\n🔍 Checking Docker service status...")
+    if not check_docker_service():
+        print("❌ Docker service is not running!")
+        print("\n📋 To start the Docker service:")
+        print("   docker run -p 11235:11235 unclecode/crawl4ai:latest")
+        print("\nPlease start the service and run this demo again.")
+        return
+
+    print("✅ Docker service is running!\n")
+
+    # Run all demos
+    demos = [
+        ("String-Based Hooks (REST API)", demo_1_string_based_hooks, False),
+        ("hooks_to_string() Utility", demo_2_hooks_to_string_utility, False),
+        ("Docker Client Auto-Conversion", demo_3_docker_client_auto_conversion, True),
+        # ("Complete Hook Pipeline", demo_4_complete_hook_pipeline, True),
+    ]
+
+    for i, (name, demo_func, is_async) in enumerate(demos, 1):
+        print(f"\n{'🔷' * 35}")
+        print(f"Starting Demo {i}/{len(demos)}: {name}")
+        print(f"{'🔷' * 35}\n")
+
+        try:
+            if is_async:
+                await demo_func()
+            else:
+                demo_func()
+
+            print(f"✅ Demo {i} completed successfully!")
+
+            # Pause between demos (except the last one)
+            if i < len(demos):
+                print("\n⏸️  Press Enter to continue to next demo...")
+                # input()
+
+        except KeyboardInterrupt:
+            print(f"\n⏹️  Demo interrupted by user")
+            break
+        except Exception as e:
+            print(f"\n❌ Demo {i} failed: {str(e)}")
+            import traceback
+            traceback.print_exc()
+            print("\nContinuing to next demo...\n")
+            continue
+
+    # Final summary
+    print("\n" + "=" * 70)
+    print("  🎉 All Demonstrations Complete!")
+    print("=" * 70)
+
+    print("\n📊 Summary of v0.7.5 Docker Hooks System:")
+    print("\n🆕 COMPLETELY NEW FEATURE in v0.7.5:")
+    print("   The Docker Hooks System lets you customize the crawling pipeline")
+    print("   with user-provided Python functions at 8 strategic points.")
+
+    print("\n✨ Three Ways to Use Docker Hooks (All NEW!):")
+    print("   1. String-based - Write hooks as strings for REST API")
+    print("   2. hooks_to_string() - Convert Python functions to strings")
+    print("   3. Docker Client - Automatic conversion (RECOMMENDED)")
+
+    print("\n💡 Key Benefits:")
+    print("   ✓ Full IDE support (autocomplete, syntax highlighting)")
+    print("   ✓ Type checking and linting")
+    print("   ✓ Easy to test and debug")
+    print("   ✓ Reusable across projects")
+    print("   ✓ Complete pipeline control")
+
+    print("\n🎯 8 Hook Points Available:")
+    print("   • on_browser_created, on_page_context_created")
+    print("   • on_user_agent_updated, before_goto, after_goto")
+    print("   • on_execution_started, before_retrieve_html, before_return_html")
+
+    print("\n📚 Resources:")
+    print("   • Docs: https://docs.crawl4ai.com")
+    print("   • GitHub: https://github.com/unclecode/crawl4ai")
+    print("   • Discord: https://discord.gg/jP8KfhDhyN")
+
+    print("\n" + "=" * 70)
+    print("  Happy Crawling with v0.7.5! 🕷️")
+    print("=" * 70 + "\n")
+
+
+if __name__ == "__main__":
+    print("\n🎬 Starting Crawl4AI v0.7.5 Docker Hooks Demonstration...")
+    print("Press Ctrl+C anytime to exit\n")
+
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        print("\n\n👋 Demo stopped by user. Thanks for exploring Crawl4AI v0.7.5!")
+    except Exception as e:
+        print(f"\n\n❌ Demo error: {str(e)}")
+        import traceback
+        traceback.print_exc()
diff --git a/docs/releases_review/v0.7.5_video_walkthrough.ipynb b/docs/releases_review/v0.7.5_video_walkthrough.ipynb
new file mode 100644
index 00000000..16738cc7
--- /dev/null
+++ b/docs/releases_review/v0.7.5_video_walkthrough.ipynb
@@ -0,0 +1,1516 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 🚀 Crawl4AI v0.7.5 - Complete Feature Walkthrough\n",
+    "\n",
+    "Welcome to Crawl4AI v0.7.5! This notebook demonstrates all the new features introduced in this release.\n",
+    "\n",
+    "## 📋 What's New in v0.7.5\n",
+    "\n",
+    "1. **🔧 Docker Hooks System** - NEW! Complete pipeline customization with user-provided Python functions\n",
+    "2. **🤖 Enhanced LLM Integration** - Custom providers with temperature control\n",
+    "3. **🔒 HTTPS Preservation** - Secure internal link handling\n",
+    "4. **🛠️ Multiple Bug Fixes** - Community-reported issues resolved\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 📦 Setup and Installation\n",
+    "\n",
+    "First, let's make sure we have the latest version installed:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ Crawl4AI v0.7.5 ready!\n"
+     ]
+    }
+   ],
+   "source": [
+    "# # Install or upgrade to v0.7.5\n",
+    "# !pip install -U crawl4ai==0.7.5 --quiet\n",
+    "\n",
+    "# Import required modules\n",
+    "import asyncio\n",
+    "import nest_asyncio\n",
+    "nest_asyncio.apply()  # For Jupyter compatibility\n",
+    "\n",
+    "from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig, CacheMode\n",
+    "from crawl4ai import FilterChain, URLPatternFilter, BFSDeepCrawlStrategy\n",
+    "from crawl4ai import hooks_to_string\n",
+    "\n",
+    "print(\"✅ Crawl4AI v0.7.5 ready!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🔧 Feature 1: Docker Hooks System (NEW! 🆕)\n",
+    "\n",
+    "### What is it?\n",
+    "v0.7.5 introduces a **completely new Docker Hooks System** that lets you inject custom Python functions at 8 key points in the crawling pipeline. This gives you full control over:\n",
+    "- Authentication setup\n",
+    "- Performance optimization\n",
+    "- Content processing\n",
+    "- Custom behavior at each stage\n",
+    "\n",
+    "### Three Ways to Use Docker Hooks\n",
+    "\n",
+    "The Docker Hooks System offers three approaches, all part of this new feature:\n",
+    "\n",
+    "1. **String-based hooks** - Write hooks as strings for REST API\n",
+    "2. **Using `hooks_to_string()` utility** - Convert Python functions to strings\n",
+    "3. **Docker Client auto-conversion** - Pass functions directly (most convenient)\n",
+    "\n",
+    "All three approaches are NEW in v0.7.5!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🔒 Feature 2: HTTPS Preservation for Internal Links\n",
+    "\n",
+    "### Problem\n",
+    "When crawling HTTPS sites, internal links sometimes get downgraded to HTTP, breaking authentication and causing security warnings.\n",
+    "\n",
+    "### Solution  \n",
+    "The new `preserve_https_for_internal_links=True` parameter maintains HTTPS protocol for all internal links."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🔒 Testing HTTPS Preservation\n",
+      "\n",
+      "============================================================\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080\">INIT</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">]</span><span style=\"color: #008080; text-decoration-color: #008080\">.... → Crawl4AI </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span><span style=\"color: #008080; text-decoration-color: #008080\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #008080; text-decoration-color: #008080\"> </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m[\u001b[0m\u001b[36mINIT\u001b[0m\u001b[1;36m]\u001b[0m\u001b[36m...\u001b[0m\u001b[36m. → Crawl4AI \u001b[0m\u001b[1;36m0.7\u001b[0m\u001b[36m.\u001b[0m\u001b[1;36m5\u001b[0m\u001b[36m \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">FETCH</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">... ↓ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                          |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">1.</span><span style=\"color: #008000; text-decoration-color: #008000\">98s </span>\n",
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+      ],
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m1.\u001b[0m\u001b[32m98s \u001b[0m\n"
+      ]
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+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">SCRAPE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">.. ◆ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                          |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">01s </span>\n",
+       "</pre>\n"
+      ],
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m01s \u001b[0m\n"
+      ]
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+     "output_type": "display_data"
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+      "text/html": [
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+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">2.</span><span style=\"color: #008000; text-decoration-color: #008000\">00s </span>\n",
+       "</pre>\n"
+      ],
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m2.\u001b[0m\u001b[32m00s \u001b[0m\n"
+      ]
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+     "output_type": "display_data"
+    },
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+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">72s </span>\n",
+       "</pre>\n"
+      ],
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m72s \u001b[0m\n"
+      ]
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+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">SCRAPE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">.. ◆ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                          |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">01s </span>\n",
+       "</pre>\n"
+      ],
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+       "\u001b[1;32m[\u001b[0m\u001b[32mSCRAPE\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m.. ◆ \u001b[0m\u001b[4;32mhttps://quotes.toscrape.com\u001b[0m\u001b[32m                                                                          |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m01s \u001b[0m\n"
+      ]
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+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">COMPLETE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> ● </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                          |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">73s </span>\n",
+       "</pre>\n"
+      ],
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+       "\u001b[1;32m[\u001b[0m\u001b[32mCOMPLETE\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m ● \u001b[0m\u001b[4;32mhttps://quotes.toscrape.com\u001b[0m\u001b[32m                                                                          |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m73s \u001b[0m\n"
+      ]
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+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">FETCH</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">... ↓ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com/login</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                    |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">83s </span>\n",
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m83s \u001b[0m\n"
+      ]
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+     "output_type": "display_data"
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+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">FETCH</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">... ↓ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com/author/Albert-Einstein</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                   |</span>\n",
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+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">SCRAPE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">.. ◆ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com/author/Albert-Einstein</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                   |</span>\n",
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+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">COMPLETE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> ● </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://quotes.toscrape.com/author/Albert-Einstein</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                   |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">1.</span><span style=\"color: #008000; text-decoration-color: #008000\">33s </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;32m[\u001b[0m\u001b[32mCOMPLETE\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m ● \u001b[0m\u001b[4;32mhttps://quotes.toscrape.com/author/Albert-Einstein\u001b[0m\u001b[32m                                                   |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m1.\u001b[0m\u001b[32m33s \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "📊 Results:\n",
+      "  Pages crawled: 5\n",
+      "  Total internal links (from first page): 47\n",
+      "  HTTPS links: 47 ✅\n",
+      "  HTTP links: 0 \n",
+      "  HTTPS preservation rate: 100.0%\n",
+      "\n",
+      "🔗 Sample HTTPS-preserved links:\n",
+      "  → https://quotes.toscrape.com/\n",
+      "  → https://quotes.toscrape.com/login\n",
+      "  → https://quotes.toscrape.com/author/Albert-Einstein\n",
+      "  → https://quotes.toscrape.com/tag/change/page/1\n",
+      "  → https://quotes.toscrape.com/tag/deep-thoughts/page/1\n",
+      "\n",
+      "============================================================\n",
+      "✅ HTTPS Preservation Demo Complete!\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "async def demo_https_preservation():\n",
+    "    \"\"\"\n",
+    "    Demonstrate HTTPS preservation with deep crawling\n",
+    "    \"\"\"\n",
+    "    print(\"🔒 Testing HTTPS Preservation\\n\")\n",
+    "    print(\"=\" * 60)\n",
+    "    \n",
+    "    # Setup URL filter for quotes.toscrape.com\n",
+    "    url_filter = URLPatternFilter(\n",
+    "        patterns=[r\"^(https:\\/\\/)?quotes\\.toscrape\\.com(\\/.*)?$\"]\n",
+    "    )\n",
+    "    \n",
+    "    # Configure crawler with HTTPS preservation\n",
+    "    config = CrawlerRunConfig(\n",
+    "        exclude_external_links=True,\n",
+    "        preserve_https_for_internal_links=True,  # 🆕 NEW in v0.7.5\n",
+    "        cache_mode=CacheMode.BYPASS,\n",
+    "        deep_crawl_strategy=BFSDeepCrawlStrategy(\n",
+    "            max_depth=2,\n",
+    "            max_pages=5,\n",
+    "            filter_chain=FilterChain([url_filter])\n",
+    "        )\n",
+    "    )\n",
+    "    \n",
+    "    async with AsyncWebCrawler() as crawler:\n",
+    "        # With deep_crawl_strategy, arun() returns a list of CrawlResult objects\n",
+    "        results = await crawler.arun(\n",
+    "            url=\"https://quotes.toscrape.com\",\n",
+    "            config=config\n",
+    "        )\n",
+    "        \n",
+    "        # Analyze the first result\n",
+    "        if results and len(results) > 0:\n",
+    "            first_result = results[0]\n",
+    "            internal_links = [link['href'] for link in first_result.links['internal']]\n",
+    "            \n",
+    "            # Check HTTPS preservation\n",
+    "            https_links = [link for link in internal_links if link.startswith('https://')]\n",
+    "            http_links = [link for link in internal_links if link.startswith('http://') and not link.startswith('https://')]\n",
+    "            \n",
+    "            print(f\"\\n📊 Results:\")\n",
+    "            print(f\"  Pages crawled: {len(results)}\")\n",
+    "            print(f\"  Total internal links (from first page): {len(internal_links)}\")\n",
+    "            print(f\"  HTTPS links: {len(https_links)} ✅\")\n",
+    "            print(f\"  HTTP links: {len(http_links)} {'⚠️' if http_links else ''}\")\n",
+    "            if internal_links:\n",
+    "                print(f\"  HTTPS preservation rate: {len(https_links)/len(internal_links)*100:.1f}%\")\n",
+    "            \n",
+    "            print(f\"\\n🔗 Sample HTTPS-preserved links:\")\n",
+    "            for link in https_links[:5]:\n",
+    "                print(f\"  → {link}\")\n",
+    "        else:\n",
+    "            print(f\"\\n⚠️ No results returned\")\n",
+    "    \n",
+    "    print(\"\\n\" + \"=\" * 60)\n",
+    "    print(\"✅ HTTPS Preservation Demo Complete!\\n\")\n",
+    "\n",
+    "# Run the demo\n",
+    "await demo_https_preservation()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🤖 Feature 3: Enhanced LLM Integration\n",
+    "\n",
+    "### What's New\n",
+    "- Custom `temperature` parameter for creativity control\n",
+    "- `base_url` for custom API endpoints\n",
+    "- Better multi-provider support\n",
+    "\n",
+    "### Example with Custom Temperature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🤖 Testing Enhanced LLM Integration\n",
+      "\n",
+      "============================================================\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/k0/7502j87n0_q4f9g82c0w8ks80000gn/T/ipykernel_15029/173393508.py:47: PydanticDeprecatedSince20: The `schema` method is deprecated; use `model_json_schema` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.12/migration/\n",
+      "  schema=Article.schema(),\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080\">INIT</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">]</span><span style=\"color: #008080; text-decoration-color: #008080\">.... → Crawl4AI </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span><span style=\"color: #008080; text-decoration-color: #008080\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #008080; text-decoration-color: #008080\"> </span>\n",
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+      ],
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+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">FETCH</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">... ↓ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://en.wikipedia.org/wiki/Artificial_intelligence</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">3.</span><span style=\"color: #008000; text-decoration-color: #008000\">05s </span>\n",
+       "</pre>\n"
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+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m3.\u001b[0m\u001b[32m05s \u001b[0m\n"
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+     "text": [
+      "\n",
+      "✅ LLM Extraction Successful!\n",
+      "\n",
+      "📄 Extracted Content:\n",
+      "[\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI can be applied in various fields and has numerous applications, including health, finance, and military.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Goals\",\n",
+      "            \"Techniques\",\n",
+      "            \"Applications\",\n",
+      "            \"Ethics\",\n",
+      "            \"History\",\n",
+      "            \"Philosophy\",\n",
+      "            \"Future\",\n",
+      "            \"In fiction\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"The article discusses artificial intelligence (AI), its various techniques, applications, and advancements, particularly focusing on machine learning, deep learning, and neural networks. It highlights the evolution of AI technologies, including generative pre-trained transformers (GPT), and their impact on fields such as healthcare, gaming, and mathematics.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Classifiers and pattern matching\",\n",
+      "            \"Artificial neural networks\",\n",
+      "            \"Deep learning\",\n",
+      "            \"Generative pre-trained transformers (GPT)\",\n",
+      "            \"Hardware and software for AI\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"AI in healthcare\",\n",
+      "            \"AI in games\",\n",
+      "            \"AI in mathematics\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops methods and software enabling machines to perceive their environment and take actions to achieve defined goals. AI has seen significant advancements and applications in various domains, including web search engines, recommendation systems, virtual assistants, and autonomous vehicles, among others.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Goals\",\n",
+      "            \"Reasoning and problem-solving\",\n",
+      "            \"Knowledge representation\",\n",
+      "            \"Planning and decision-making\",\n",
+      "            \"Learning\",\n",
+      "            \"Applications\",\n",
+      "            \"Philosophy\",\n",
+      "            \"History\",\n",
+      "            \"Controversies\",\n",
+      "            \"Ethics\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"The article discusses artificial intelligence (AI), its various techniques, and applications. It covers the foundational concepts of AI, including machine learning, natural language processing, perception, social intelligence, and general intelligence. The article also highlights the methods used in AI research, such as search and optimization, logic, probabilistic methods, and classifiers.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Markov decision processes\",\n",
+      "            \"Machine learning\",\n",
+      "            \"Supervised learning\",\n",
+      "            \"Unsupervised learning\",\n",
+      "            \"Reinforcement learning\",\n",
+      "            \"Transfer learning\",\n",
+      "            \"Deep learning\",\n",
+      "            \"Natural language processing\",\n",
+      "            \"Machine perception\",\n",
+      "            \"Social intelligence\",\n",
+      "            \"Artificial general intelligence\",\n",
+      "            \"Search and optimization\",\n",
+      "            \"Logic\",\n",
+      "            \"Probabilistic methods\",\n",
+      "            \"Classifiers and statistical learning methods\",\n",
+      "            \"Artificial neural networks\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the complexities and challenges associated with artificial intelligence (AI), particularly focusing on issues of bias, fairness, transparency, and the potential risks posed by AI technologies. It highlights the ethical implications of AI systems, the lack of diversity among AI developers, and the existential risks associated with advanced AI.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Bias and fairness in AI\",\n",
+      "            \"Lack of transparency in AI systems\",\n",
+      "            \"Weaponization of AI\",\n",
+      "            \"Technological unemployment due to AI\",\n",
+      "            \"Existential risk from AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"The article discusses the advancements and applications of artificial intelligence (AI) across various fields, including mathematics, finance, military, generative AI, and more. It highlights the capabilities of AI models, their limitations, and the ethical considerations surrounding their use.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Mathematics\",\n",
+      "            \"Finance\",\n",
+      "            \"Military applications\",\n",
+      "            \"Generative AI\",\n",
+      "            \"AI agents\",\n",
+      "            \"Web search\",\n",
+      "            \"Sexuality\",\n",
+      "            \"Industry-specific tasks\",\n",
+      "            \"Ethics\",\n",
+      "            \"Privacy and copyright\",\n",
+      "            \"Dominance by tech giants\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses various aspects of artificial intelligence (AI), including its impact on privacy, copyright issues, environmental concerns, misinformation, and algorithmic bias. It highlights the dominance of big tech companies in the AI landscape and the increasing power demands of AI technologies.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Privacy and Fairness\",\n",
+      "            \"Generative AI and Copyright\",\n",
+      "            \"Dominance by Tech Giants\",\n",
+      "            \"Power Needs and Environmental Impacts\",\n",
+      "            \"Misinformation\",\n",
+      "            \"Algorithmic Bias and Fairness\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"The article discusses the mixed opinions among experts regarding the risks associated with artificial intelligence (AI), particularly concerning superintelligent AI. It highlights concerns from notable figures in the field about existential risks, the importance of establishing safety guidelines, and the ongoing debate between pessimistic and optimistic views on AI's future impact. The article also covers ethical considerations, open-source developments, regulatory efforts, and the historical context of AI research.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Expert opinions on AI risks\",\n",
+      "            \"Existential risk from superintelligent AI\",\n",
+      "            \"Ethical machines and alignment\",\n",
+      "            \"Open-source AI\",\n",
+      "            \"Regulation of artificial intelligence\",\n",
+      "            \"History of artificial intelligence\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the history, development, and various approaches to artificial intelligence (AI), highlighting key milestones, challenges, and philosophical debates surrounding the field. It covers the evolution from early optimism and funding cuts to the resurgence of interest through expert systems and deep learning, as well as the implications of AI advancements on society.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"History of AI\",\n",
+      "            \"AI winter\",\n",
+      "            \"Expert systems\",\n",
+      "            \"Deep learning\",\n",
+      "            \"Artificial general intelligence (AGI)\",\n",
+      "            \"Philosophy of AI\",\n",
+      "            \"Defining artificial intelligence\",\n",
+      "            \"Evaluating approaches to AI\",\n",
+      "            \"Symbolic AI vs. sub-symbolic AI\",\n",
+      "            \"Narrow AI vs. general AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. It encompasses various subfields including machine learning, natural language processing, and robotics, and aims to create systems that can perform tasks that typically require human intelligence.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Organoid intelligence\",\n",
+      "            \"Robotic process automation\",\n",
+      "            \"Wetware computer\",\n",
+      "            \"DARWIN EU\",\n",
+      "            \"Artificial intelligence in Wikimedia projects\",\n",
+      "            \"AI-generated content on Wikipedia\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"The article discusses the field of artificial intelligence (AI), exploring its various branches, methodologies, and philosophical implications. It highlights the ongoing debates within the AI community regarding the pursuit of general versus narrow AI, the nature of consciousness in machines, and the ethical considerations surrounding AI rights and welfare.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Soft vs. hard computing\",\n",
+      "            \"Narrow vs. general AI\",\n",
+      "            \"Philosophy of artificial intelligence\",\n",
+      "            \"Consciousness\",\n",
+      "            \"Computationalism and functionalism\",\n",
+      "            \"AI welfare and rights\",\n",
+      "            \"Superintelligence and the singularity\",\n",
+      "            \"Transhumanism\",\n",
+      "            \"Artificial intelligence in fiction\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the field of artificial intelligence (AI), covering its definitions, history, methodologies, and applications. It explores various aspects of AI, including machine learning, natural language processing, and robotics, as well as the challenges and ethical considerations associated with AI technologies.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Definitions of AI\",\n",
+      "            \"History of AI\",\n",
+      "            \"Machine Learning\",\n",
+      "            \"Natural Language Processing\",\n",
+      "            \"Robotics\",\n",
+      "            \"Ethical Considerations\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"AI Methodologies\",\n",
+      "            \"Challenges in AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the advancements and implications of artificial intelligence (AI), particularly focusing on generative AI and its impact across various sectors including healthcare, finance, entertainment, and environmental concerns.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Generative AI in software development\",\n",
+      "            \"AI in healthcare\",\n",
+      "            \"AI in financial services\",\n",
+      "            \"Impact of AI on Hollywood and entertainment\",\n",
+      "            \"AI and environmental issues\",\n",
+      "            \"AI's role in creativity\",\n",
+      "            \"AI in search technologies\",\n",
+      "            \"AI's energy consumption\",\n",
+      "            \"AI and societal implications\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the concept of artificial intelligence (AI), its development, applications, and the ethical implications surrounding its use. It highlights the advancements in AI technology, including synthetic media and computational capitalism, and addresses concerns regarding misinformation and media manipulation through AI tools.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Definition of Artificial Intelligence\",\n",
+      "            \"Advancements in AI technology\",\n",
+      "            \"Synthetic media and computational capitalism\",\n",
+      "            \"Ethical implications of AI\",\n",
+      "            \"Misinformation and media manipulation\",\n",
+      "            \"AI in surveillance and security\",\n",
+      "            \"AI's impact on employment\",\n",
+      "            \"Global regulatory frameworks for AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the concept of artificial intelligence (AI), its applications, advancements, and implications across various fields, including healthcare, programming, and national security. It highlights the evolution of AI technologies, notable achievements, and the ongoing debates surrounding ethical considerations and the future of AI.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Definition of Artificial Intelligence\",\n",
+      "            \"Applications in Healthcare\",\n",
+      "            \"AI Programming Languages\",\n",
+      "            \"Ethical Considerations\",\n",
+      "            \"AI in National Security\",\n",
+      "            \"Generative AI\",\n",
+      "            \"Recent Advancements in AI Technologies\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the field of artificial intelligence (AI), its development, applications, and the ethical considerations surrounding its use. It highlights the advancements in AI technologies, the impact on various sectors, and the ongoing debates regarding the implications of AI on society.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Definition of Artificial Intelligence\",\n",
+      "            \"History and Development of AI\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"Ethical Considerations in AI\",\n",
+      "            \"Impact of AI on Employment\",\n",
+      "            \"Governance and Regulation of AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article provides an overview of artificial intelligence (AI), its history, development, and various applications. It discusses the evolution of AI from its inception to its current state, highlighting key milestones and influential figures in the field. The article also addresses the philosophical implications of AI, its impact on society, and the ongoing debates surrounding its future.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"History of AI\",\n",
+      "            \"Key figures in AI development\",\n",
+      "            \"Philosophical implications of AI\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"Current trends in AI\",\n",
+      "            \"Ethical considerations in AI\",\n",
+      "            \"Future of AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses various aspects of artificial intelligence (AI), including its implications, challenges, and the need for regulatory frameworks to ensure ethical use. It highlights the perspectives of experts on the responsibilities of tech companies and governments in managing AI technologies.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Ethical implications of AI\",\n",
+      "            \"Regulatory frameworks for AI\",\n",
+      "            \"Transparency in AI systems\",\n",
+      "            \"Compensation for data usage\",\n",
+      "            \"Professional licensing for AI engineers\",\n",
+      "            \"Limitations of natural language processing\",\n",
+      "            \"AI in media and misinformation\",\n",
+      "            \"AI technologies and their reliability\",\n",
+      "            \"Generative AI and its understanding\",\n",
+      "            \"AI applications in various fields\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the field of artificial intelligence (AI), its history, development, and various applications. It highlights the concerns and ethical considerations surrounding AI, as well as the potential impact on society and the economy.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"History of AI\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"Ethical considerations\",\n",
+      "            \"Impact on society\",\n",
+      "            \"Machine learning\",\n",
+      "            \"Regulation of AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"The article discusses the field of artificial intelligence (AI), covering its history, development, and various applications. It highlights the advancements in AI technologies, the ethical implications, and the ongoing debates surrounding AI's impact on society.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"History of AI\",\n",
+      "            \"Development of AI technologies\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"Ethical implications of AI\",\n",
+      "            \"Debates on AI's societal impact\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. AI applications include expert systems, natural language processing, speech recognition, and machine vision.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Neural networks\",\n",
+      "            \"Deep learning\",\n",
+      "            \"Language models\",\n",
+      "            \"Artificial general intelligence (AGI)\",\n",
+      "            \"Computer vision\",\n",
+      "            \"Speech recognition\",\n",
+      "            \"Natural language processing\",\n",
+      "            \"Robotics\",\n",
+      "            \"Philosophy of artificial intelligence\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Definition of AI\",\n",
+      "            \"Processes involved in AI\",\n",
+      "            \"Applications of AI\",\n",
+      "            \"Types of AI\",\n",
+      "            \"Ethical considerations in AI\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial Intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. AI applications include expert systems, natural language processing, speech recognition, and machine vision.\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Natural language processing\",\n",
+      "            \"Knowledge representation and reasoning\",\n",
+      "            \"Computer vision\",\n",
+      "            \"Automated planning and scheduling\",\n",
+      "            \"Search methodology\",\n",
+      "            \"Control method\",\n",
+      "            \"Philosophy of artificial intelligence\",\n",
+      "            \"Distributed artificial intelligence\",\n",
+      "            \"Machine learning\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    },\n",
+      "    {\n",
+      "        \"title\": \"Artificial intelligence\",\n",
+      "        \"summary\": \"Artificial intelligence (AI) is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of \\\"intelligent agents\\\": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term \\\"artificial intelligence\\\" is often used to describe machines (or computers) that mimic \\\"cognitive\\\" functions that humans associate with the human mind, such as \\\"learning\\\" and \\\"problem-solving\\\".\",\n",
+      "        \"main_topics\": [\n",
+      "            \"Automation\",\n",
+      "            \"Ethics of technology\",\n",
+      "            \"AI alignment\",\n",
+      "            \"AI safety\",\n",
+      "            \"Technological singularity\",\n",
+      "            \"Machine ethics\",\n",
+      "            \"Existential risk from artificial intelligence\",\n",
+      "            \"Artificial general intelligence\",\n",
+      "            \"AI takeover\",\n",
+      "            \"AI capability control\"\n",
+      "        ],\n",
+      "        \"error\": false\n",
+      "    }\n",
+      "]\n",
+      "\n",
+      "============================================================\n",
+      "✅ Enhanced LLM Demo Complete!\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from crawl4ai import LLMExtractionStrategy, LLMConfig\n",
+    "from pydantic import BaseModel, Field\n",
+    "import os\n",
+    "\n",
+    "# Define extraction schema\n",
+    "class Article(BaseModel):\n",
+    "    title: str = Field(description=\"Article title\")\n",
+    "    summary: str = Field(description=\"Brief summary of the article\")\n",
+    "    main_topics: list[str] = Field(description=\"List of main topics covered\")\n",
+    "\n",
+    "async def demo_enhanced_llm():\n",
+    "    \"\"\"\n",
+    "    Demonstrate enhanced LLM integration with custom temperature\n",
+    "    \"\"\"\n",
+    "    print(\"🤖 Testing Enhanced LLM Integration\\n\")\n",
+    "    print(\"=\" * 60)\n",
+    "    \n",
+    "    # Check for API key\n",
+    "    api_key = os.getenv('OPENAI_API_KEY')\n",
+    "    if not api_key:\n",
+    "        print(\"⚠️ Note: Set OPENAI_API_KEY environment variable to test LLM extraction\")\n",
+    "        print(\"For this demo, we'll show the configuration only.\\n\")\n",
+    "        \n",
+    "        print(\"📝 Example LLM Configuration with new v0.7.5 features:\")\n",
+    "        print(\"\"\"\n",
+    "llm_strategy = LLMExtractionStrategy(\n",
+    "    llm_config=LLMConfig(\n",
+    "        provider=\"openai/gpt-4o-mini\",\n",
+    "        api_token=\"your-api-key\",\n",
+    "        temperature=0.7,  # 🆕 NEW: Control creativity (0.0-2.0)\n",
+    "        base_url=\"custom-endpoint\"  # 🆕 NEW: Custom API endpoint\n",
+    "    ),\n",
+    "    schema=Article.schema(),\n",
+    "    extraction_type=\"schema\",\n",
+    "    instruction=\"Extract article information\"\n",
+    ")\n",
+    "        \"\"\")\n",
+    "        return\n",
+    "    \n",
+    "    # Create LLM extraction strategy with custom temperature\n",
+    "    llm_strategy = LLMExtractionStrategy(\n",
+    "        llm_config=LLMConfig(\n",
+    "            provider=\"openai/gpt-4o-mini\",\n",
+    "            api_token=api_key,\n",
+    "            temperature=0.3,  # 🆕 Lower temperature for more focused extraction\n",
+    "        ),\n",
+    "        schema=Article.schema(),\n",
+    "        extraction_type=\"schema\",\n",
+    "        instruction=\"Extract the article title, a brief summary, and main topics discussed.\"\n",
+    "    )\n",
+    "    \n",
+    "    config = CrawlerRunConfig(\n",
+    "        extraction_strategy=llm_strategy,\n",
+    "        cache_mode=CacheMode.BYPASS\n",
+    "    )\n",
+    "    \n",
+    "    async with AsyncWebCrawler() as crawler:\n",
+    "        result = await crawler.arun(\n",
+    "            url=\"https://en.wikipedia.org/wiki/Artificial_intelligence\",\n",
+    "            config=config\n",
+    "        )\n",
+    "        \n",
+    "        if result.success:\n",
+    "            print(\"\\n✅ LLM Extraction Successful!\")\n",
+    "            print(f\"\\n📄 Extracted Content:\")\n",
+    "            print(result.extracted_content)\n",
+    "        else:\n",
+    "            print(f\"\\n❌ Extraction failed: {result.error_message}\")\n",
+    "    \n",
+    "    print(\"\\n\" + \"=\" * 60)\n",
+    "    print(\"✅ Enhanced LLM Demo Complete!\\n\")\n",
+    "\n",
+    "# Run the demo\n",
+    "await demo_enhanced_llm()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Creating Reusable Hook Functions\n",
+    "\n",
+    "First, let's create some hook functions that we can reuse:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ Reusable hook library created!\n",
+      "\n",
+      "📚 Available hooks:\n",
+      "  • block_images_hook - Speed optimization\n",
+      "  • set_viewport_hook - Consistent rendering\n",
+      "  • add_custom_headers_hook - Custom headers\n",
+      "  • scroll_page_hook - Lazy content loading\n",
+      "  • log_page_metrics_hook - Page analytics\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Define reusable hooks as Python functions\n",
+    "\n",
+    "async def block_images_hook(page, context, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Performance optimization: Block images to speed up crawling\n",
+    "    \"\"\"\n",
+    "    print(\"[Hook] Blocking images for faster loading...\")\n",
+    "    await context.route(\n",
+    "        \"**/*.{png,jpg,jpeg,gif,webp,svg,ico}\",\n",
+    "        lambda route: route.abort()\n",
+    "    )\n",
+    "    return page\n",
+    "\n",
+    "async def set_viewport_hook(page, context, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Set consistent viewport size for rendering\n",
+    "    \"\"\"\n",
+    "    print(\"[Hook] Setting viewport to 1920x1080...\")\n",
+    "    await page.set_viewport_size({\"width\": 1920, \"height\": 1080})\n",
+    "    return page\n",
+    "\n",
+    "async def add_custom_headers_hook(page, context, url, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Add custom headers before navigation\n",
+    "    \"\"\"\n",
+    "    print(f\"[Hook] Adding custom headers for {url}...\")\n",
+    "    await page.set_extra_http_headers({\n",
+    "        'X-Crawl4AI-Version': '0.7.5',\n",
+    "        'X-Custom-Header': 'docker-hooks-demo',\n",
+    "        'Accept-Language': 'en-US,en;q=0.9'\n",
+    "    })\n",
+    "    return page\n",
+    "\n",
+    "async def scroll_page_hook(page, context, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Scroll page to load lazy-loaded content\n",
+    "    \"\"\"\n",
+    "    print(\"[Hook] Scrolling page to load lazy content...\")\n",
+    "    await page.evaluate(\"window.scrollTo(0, document.body.scrollHeight)\")\n",
+    "    await page.wait_for_timeout(1000)\n",
+    "    await page.evaluate(\"window.scrollTo(0, 0)\")\n",
+    "    await page.wait_for_timeout(500)\n",
+    "    return page\n",
+    "\n",
+    "async def log_page_metrics_hook(page, context, **kwargs):\n",
+    "    \"\"\"\n",
+    "    Log page metrics before extracting HTML\n",
+    "    \"\"\"\n",
+    "    metrics = await page.evaluate('''\n",
+    "        () => ({\n",
+    "            images: document.images.length,\n",
+    "            links: document.links.length,\n",
+    "            scripts: document.scripts.length,\n",
+    "            title: document.title\n",
+    "        })\n",
+    "    ''')\n",
+    "    print(f\"[Hook] Page Metrics - Title: {metrics['title']}\")\n",
+    "    print(f\"        Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}\")\n",
+    "    return page\n",
+    "\n",
+    "print(\"✅ Reusable hook library created!\")\n",
+    "print(\"\\n📚 Available hooks:\")\n",
+    "print(\"  • block_images_hook - Speed optimization\")\n",
+    "print(\"  • set_viewport_hook - Consistent rendering\")\n",
+    "print(\"  • add_custom_headers_hook - Custom headers\")\n",
+    "print(\"  • scroll_page_hook - Lazy content loading\")\n",
+    "print(\"  • log_page_metrics_hook - Page analytics\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Using hooks_to_string() Utility\n",
+    "\n",
+    "The new `hooks_to_string()` utility converts Python function objects to strings that can be sent to the Docker API:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ Converted 3 hook functions to string format\n",
+      "\n",
+      "📝 Example of converted hook (first 200 chars):\n",
+      "async def block_images_hook(page, context, **kwargs):\n",
+      "    \"\"\"\n",
+      "    Performance optimization: Block images to speed up crawling\n",
+      "    \"\"\"\n",
+      "    print(\"[Hook] Blocking images for faster loading...\")\n",
+      "    awai...\n",
+      "\n",
+      "💡 Benefits of hooks_to_string():\n",
+      "  ✓ Write hooks as Python functions (IDE support, type checking)\n",
+      "  ✓ Automatically converts to string format for Docker API\n",
+      "  ✓ Reusable across projects\n",
+      "  ✓ Easy to test and debug\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Convert functions to strings using the NEW utility\n",
+    "hooks_as_strings = hooks_to_string({\n",
+    "    \"on_page_context_created\": block_images_hook,\n",
+    "    \"before_goto\": add_custom_headers_hook,\n",
+    "    \"before_retrieve_html\": scroll_page_hook,\n",
+    "})\n",
+    "\n",
+    "print(\"✅ Converted 3 hook functions to string format\")\n",
+    "print(\"\\n📝 Example of converted hook (first 200 chars):\")\n",
+    "print(hooks_as_strings[\"on_page_context_created\"][:200] + \"...\")\n",
+    "\n",
+    "print(\"\\n💡 Benefits of hooks_to_string():\")\n",
+    "print(\"  ✓ Write hooks as Python functions (IDE support, type checking)\")\n",
+    "print(\"  ✓ Automatically converts to string format for Docker API\")\n",
+    "print(\"  ✓ Reusable across projects\")\n",
+    "print(\"  ✓ Easy to test and debug\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 8 Available Hook Points\n",
+    "\n",
+    "The Docker Hooks System provides 8 strategic points where you can inject custom behavior:\n",
+    "\n",
+    "1. **on_browser_created** - Browser initialization\n",
+    "2. **on_page_context_created** - Page context setup\n",
+    "3. **on_user_agent_updated** - User agent configuration\n",
+    "4. **before_goto** - Pre-navigation setup\n",
+    "5. **after_goto** - Post-navigation processing\n",
+    "6. **on_execution_started** - JavaScript execution start\n",
+    "7. **before_retrieve_html** - Pre-extraction processing\n",
+    "8. **before_return_html** - Final HTML processing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Complete Docker Hooks Demo\n",
+    "\n",
+    "**Note**: For a complete demonstration of all Docker Hooks approaches including:\n",
+    "- String-based hooks with REST API\n",
+    "- hooks_to_string() utility usage\n",
+    "- Docker Client with automatic conversion\n",
+    "- Complete pipeline with all 8 hook points\n",
+    "\n",
+    "See the separate file: **`v0.7.5_docker_hooks_demo.py`**\n",
+    "\n",
+    "This standalone Python script provides comprehensive, runnable examples of the entire Docker Hooks System."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🛠️ Feature 4: Bug Fixes Summary\n",
+    "\n",
+    "### Major Fixes in v0.7.5\n",
+    "\n",
+    "1. **URL Processing** - Fixed '+' sign preservation in query parameters\n",
+    "2. **Proxy Configuration** - Enhanced proxy string parsing (old parameter deprecated)\n",
+    "3. **Docker Error Handling** - Better error messages with status codes\n",
+    "4. **Memory Management** - Fixed leaks in long-running sessions\n",
+    "5. **JWT Authentication** - Fixed Docker JWT validation\n",
+    "6. **Playwright Stealth** - Fixed stealth features\n",
+    "7. **API Configuration** - Fixed config handling\n",
+    "8. **Deep Crawl Strategy** - Resolved JSON encoding errors\n",
+    "9. **LLM Provider Support** - Fixed custom provider integration\n",
+    "10. **Performance** - Resolved backoff strategy failures\n",
+    "\n",
+    "### New Proxy Configuration Example"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "✅ New proxy configuration format demonstrated\n",
+      "\n",
+      "📝 Benefits:\n",
+      "  • More explicit and clear\n",
+      "  • Better authentication support\n",
+      "  • Consistent with industry standards\n"
+     ]
+    }
+   ],
+   "source": [
+    "# OLD WAY (Deprecated)\n",
+    "# browser_config = BrowserConfig(proxy=\"http://proxy:8080\")\n",
+    "\n",
+    "# NEW WAY (v0.7.5)\n",
+    "browser_config_with_proxy = BrowserConfig(\n",
+    "    proxy_config={\n",
+    "        \"server\": \"http://proxy.example.com:8080\",\n",
+    "        \"username\": \"optional-username\",  # Optional\n",
+    "        \"password\": \"optional-password\"   # Optional\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "print(\"✅ New proxy configuration format demonstrated\")\n",
+    "print(\"\\n📝 Benefits:\")\n",
+    "print(\"  • More explicit and clear\")\n",
+    "print(\"  • Better authentication support\")\n",
+    "print(\"  • Consistent with industry standards\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🎯 Complete Example: Combining Multiple Features\n",
+    "\n",
+    "Let's create a real-world example that uses multiple v0.7.5 features together:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "🎯 Complete v0.7.5 Feature Demo\n",
+      "\n",
+      "============================================================\n",
+      "\n",
+      "1️⃣ Using Docker Hooks System (NEW!)\n",
+      "   ✓ Converted 3 hooks to string format\n",
+      "   ✓ Ready to send to Docker API\n",
+      "\n",
+      "2️⃣ Enabling HTTPS Preservation\n",
+      "   ✓ HTTPS preservation enabled\n",
+      "\n",
+      "3️⃣ Using New Proxy Configuration Format\n",
+      "   ✓ New proxy config format ready\n",
+      "\n",
+      "4️⃣ Executing Crawl with All Features\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">[</span><span style=\"color: #008080; text-decoration-color: #008080\">INIT</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">]</span><span style=\"color: #008080; text-decoration-color: #008080\">.... → Crawl4AI </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.7</span><span style=\"color: #008080; text-decoration-color: #008080\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">5</span><span style=\"color: #008080; text-decoration-color: #008080\"> </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;36m[\u001b[0m\u001b[36mINIT\u001b[0m\u001b[1;36m]\u001b[0m\u001b[36m...\u001b[0m\u001b[36m. → Crawl4AI \u001b[0m\u001b[1;36m0.7\u001b[0m\u001b[36m.\u001b[0m\u001b[1;36m5\u001b[0m\u001b[36m \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">FETCH</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">... ↓ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://example.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                                  |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">1.</span><span style=\"color: #008000; text-decoration-color: #008000\">29s </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;32m[\u001b[0m\u001b[32mFETCH\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m...\u001b[0m\u001b[32m ↓ \u001b[0m\u001b[4;32mhttps://example.com\u001b[0m\u001b[32m                                                                                  |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m1.\u001b[0m\u001b[32m29s \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">SCRAPE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\">.. ◆ </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://example.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                                  |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">0.</span><span style=\"color: #008000; text-decoration-color: #008000\">00s </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;32m[\u001b[0m\u001b[32mSCRAPE\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m.. ◆ \u001b[0m\u001b[4;32mhttps://example.com\u001b[0m\u001b[32m                                                                                  |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m0.\u001b[0m\u001b[32m00s \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">COMPLETE</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> ● </span><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">https://example.com</span><span style=\"color: #008000; text-decoration-color: #008000\">                                                                                  |</span>\n",
+       "<span style=\"color: #008000; text-decoration-color: #008000\">✓ | ⏱: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">1.</span><span style=\"color: #008000; text-decoration-color: #008000\">29s </span>\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1;32m[\u001b[0m\u001b[32mCOMPLETE\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m ● \u001b[0m\u001b[4;32mhttps://example.com\u001b[0m\u001b[32m                                                                                  |\u001b[0m\n",
+       "\u001b[32m✓\u001b[0m\u001b[32m | ⏱: \u001b[0m\u001b[1;32m1.\u001b[0m\u001b[32m29s \u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   ✓ Crawl successful!\n",
+      "\n",
+      "📊 Results:\n",
+      "   • Pages crawled: 1\n",
+      "   • Title: Example Domain\n",
+      "   • Content length: 119 characters\n",
+      "   • Links found: 0\n",
+      "\n",
+      "============================================================\n",
+      "✅ Complete Feature Demo Finished!\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "async def complete_demo():\n",
+    "    \"\"\"\n",
+    "    Comprehensive demo combining multiple v0.7.5 features\n",
+    "    \"\"\"\n",
+    "    print(\"🎯 Complete v0.7.5 Feature Demo\\n\")\n",
+    "    print(\"=\" * 60)\n",
+    "    \n",
+    "    # Use function-based hooks (NEW Docker Hooks System)\n",
+    "    print(\"\\n1️⃣ Using Docker Hooks System (NEW!)\")\n",
+    "    hooks = {\n",
+    "        \"on_page_context_created\": set_viewport_hook,\n",
+    "        \"before_goto\": add_custom_headers_hook,\n",
+    "        \"before_retrieve_html\": log_page_metrics_hook\n",
+    "    }\n",
+    "    \n",
+    "    # Convert to strings using the NEW utility\n",
+    "    hooks_strings = hooks_to_string(hooks)\n",
+    "    print(f\"   ✓ Converted {len(hooks_strings)} hooks to string format\")\n",
+    "    print(\"   ✓ Ready to send to Docker API\")\n",
+    "    \n",
+    "    # Use HTTPS preservation\n",
+    "    print(\"\\n2️⃣ Enabling HTTPS Preservation\")\n",
+    "    url_filter = URLPatternFilter(\n",
+    "        patterns=[r\"^(https:\\/\\/)?example\\.com(\\/.*)?$\"]\n",
+    "    )\n",
+    "    \n",
+    "    config = CrawlerRunConfig(\n",
+    "        exclude_external_links=True,\n",
+    "        preserve_https_for_internal_links=True,  # v0.7.5 feature\n",
+    "        cache_mode=CacheMode.BYPASS,\n",
+    "        deep_crawl_strategy=BFSDeepCrawlStrategy(\n",
+    "            max_depth=1,\n",
+    "            max_pages=3,\n",
+    "            filter_chain=FilterChain([url_filter])\n",
+    "        )\n",
+    "    )\n",
+    "    print(\"   ✓ HTTPS preservation enabled\")\n",
+    "    \n",
+    "    # Use new proxy config format\n",
+    "    print(\"\\n3️⃣ Using New Proxy Configuration Format\")\n",
+    "    browser_config = BrowserConfig(\n",
+    "        headless=True,\n",
+    "        # proxy_config={  # Uncomment if you have a proxy\n",
+    "        #     \"server\": \"http://proxy:8080\"\n",
+    "        # }\n",
+    "    )\n",
+    "    print(\"   ✓ New proxy config format ready\")\n",
+    "    \n",
+    "    # Run the crawl\n",
+    "    print(\"\\n4️⃣ Executing Crawl with All Features\")\n",
+    "    async with AsyncWebCrawler(config=browser_config) as crawler:\n",
+    "        # With deep_crawl_strategy, returns a list\n",
+    "        results = await crawler.arun(\n",
+    "            url=\"https://example.com\",\n",
+    "            config=config\n",
+    "        )\n",
+    "        \n",
+    "        if results and len(results) > 0:\n",
+    "            result = results[0]  # Get first result\n",
+    "            print(\"   ✓ Crawl successful!\")\n",
+    "            print(f\"\\n📊 Results:\")\n",
+    "            print(f\"   • Pages crawled: {len(results)}\")\n",
+    "            print(f\"   • Title: {result.metadata.get('title', 'N/A')}\")\n",
+    "            print(f\"   • Content length: {len(result.markdown.raw_markdown)} characters\")\n",
+    "            print(f\"   • Links found: {len(result.links['internal']) + len(result.links['external'])}\")\n",
+    "        else:\n",
+    "            print(f\"   ⚠️ No results returned\")\n",
+    "    \n",
+    "    print(\"\\n\" + \"=\" * 60)\n",
+    "    print(\"✅ Complete Feature Demo Finished!\\n\")\n",
+    "\n",
+    "# Run complete demo\n",
+    "await complete_demo()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "\n",
+    "## 🎓 Summary\n",
+    "\n",
+    "### What We Covered\n",
+    "\n",
+    "✅ **HTTPS Preservation** - Maintain secure protocols throughout crawling  \n",
+    "✅ **Enhanced LLM Integration** - Custom temperature and provider configuration  \n",
+    "✅ **Docker Hooks System (NEW!)** - Complete pipeline customization with 3 approaches  \n",
+    "✅ **hooks_to_string() Utility (NEW!)** - Convert functions for Docker API  \n",
+    "✅ **Bug Fixes** - New proxy config and multiple improvements  \n",
+    "\n",
+    "### Key Highlight: Docker Hooks System 🌟\n",
+    "\n",
+    "The **Docker Hooks System** is completely NEW in v0.7.5. It offers:\n",
+    "- 8 strategic hook points in the pipeline\n",
+    "- 3 ways to use hooks (strings, utility, auto-conversion)\n",
+    "- Full control over crawling behavior\n",
+    "- Support for authentication, optimization, and custom processing\n",
+    "\n",
+    "### Next Steps\n",
+    "\n",
+    "1. **Docker Hooks Demo** - See `v0.7.5_docker_hooks_demo.py` for complete Docker Hooks examples\n",
+    "2. **Documentation** - Visit [docs.crawl4ai.com](https://docs.crawl4ai.com) for full reference\n",
+    "3. **Examples** - Check [GitHub examples](https://github.com/unclecode/crawl4ai/tree/main/docs/examples)\n",
+    "4. **Community** - Join [Discord](https://discord.gg/jP8KfhDhyN) for support\n",
+    "\n",
+    "---\n",
+    "\n",
+    "## 📚 Resources\n",
+    "\n",
+    "- 📖 [Full Documentation](https://docs.crawl4ai.com)\n",
+    "- 🐙 [GitHub Repository](https://github.com/unclecode/crawl4ai)\n",
+    "- 📝 [Release Notes](https://github.com/unclecode/crawl4ai/blob/main/docs/blog/release-v0.7.5.md)\n",
+    "- 💬 [Discord Community](https://discord.gg/jP8KfhDhyN)\n",
+    "- 🐦 [Twitter](https://x.com/unclecode)\n",
+    "\n",
+    "---\n",
+    "\n",
+    "**Happy Crawling with v0.7.5! 🚀**"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/mkdocs.yml b/mkdocs.yml
index ff148547..475fe190 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,5 +1,4 @@
 site_name: Crawl4AI Documentation (v0.7.x)
-site_favicon: docs/md_v2/favicon.ico
 site_description:  🚀🤖 Crawl4AI, Open-source LLM-Friendly Web Crawler & Scraper
 site_url: https://docs.crawl4ai.com
 repo_url: https://github.com/unclecode/crawl4ai
@@ -8,6 +7,7 @@ docs_dir: docs/md_v2
 
 nav:
   - Home: 'index.md'
+  - "📚 Complete SDK Reference": "complete-sdk-reference.md"
   - "Ask AI": "core/ask-ai.md"
   - "Quick Start": "core/quickstart.md"
   - "Code Examples": "core/examples.md"
@@ -15,6 +15,8 @@ nav:
     - "Demo Apps": "apps/index.md"
     - "C4A-Script Editor": "apps/c4a-script/index.html"
     - "LLM Context Builder": "apps/llmtxt/index.html"
+    - "Marketplace": "marketplace/index.html"
+    - "Marketplace Admin": "marketplace/admin/index.html"
   - Setup & Installation:
     - "Installation": "core/installation.md"
     - "Docker Deployment": "core/docker-deployment.md"
@@ -66,10 +68,12 @@ nav:
     - "CrawlResult": "api/crawl-result.md"
     - "Strategies": "api/strategies.md"
     - "C4A-Script Reference": "api/c4a-script-reference.md"
+  - "Brand Book": "branding/index.md"
 
 theme:
   name: 'terminal'
   palette: 'dark'
+  favicon: favicon.ico
   custom_dir: docs/md_v2/overrides
   color_mode: 'dark'
   icon:
@@ -98,6 +102,7 @@ extra_css:
   - assets/highlight.css
   - assets/dmvendor.css
   - assets/feedback-overrides.css
+  - assets/page_actions.css
 
 extra_javascript:
   - https://www.googletagmanager.com/gtag/js?id=G-58W0K2ZQ25
@@ -106,8 +111,9 @@ extra_javascript:
   - assets/highlight_init.js
   - https://buttons.github.io/buttons.js
   - assets/toc.js
-  - assets/github_stats.js 
+  - assets/github_stats.js
   - assets/selection_ask_ai.js
   - assets/copy_code.js
   - assets/floating_ask_ai_button.js
-  - assets/mobile_menu.js
\ No newline at end of file
+  - assets/mobile_menu.js
+  - assets/page_actions.js?v=20251006
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 9b00bd28..bbdca592 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ name = "Crawl4AI"
 dynamic = ["version"]
 description = "🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & scraper"
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 license = "Apache-2.0"
 authors = [
     {name = "Unclecode", email = "unclecode@kidocode.com"}
@@ -36,6 +36,7 @@ dependencies = [
     "PyYAML>=6.0",
     "nltk>=3.9.1",
     "rich>=13.9.4",
+    "cssselect>=1.2.0",
     "httpx>=0.27.2",
     "httpx[http2]>=0.27.2",
     "fake-useragent>=2.0.3",
@@ -51,7 +52,6 @@ classifiers = [
     "Development Status :: 4 - Beta",
     "Intended Audience :: Developers",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
diff --git a/requirements.txt b/requirements.txt
index 20f4df4f..0e66b3f0 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -24,6 +24,7 @@ psutil>=6.1.1
 PyYAML>=6.0
 nltk>=3.9.1
 rich>=13.9.4
+cssselect>=1.2.0
 chardet>=5.2.0
 brotli>=1.1.0
 httpx[http2]>=0.27.2
diff --git a/setup.py b/setup.py
index a0b91041..4d6e0575 100644
--- a/setup.py
+++ b/setup.py
@@ -56,11 +56,10 @@ setup(
         "Development Status :: 3 - Alpha",
         "Intended Audience :: Developers",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",
         "Programming Language :: Python :: 3.11",
         "Programming Language :: Python :: 3.12",
         "Programming Language :: Python :: 3.13",
     ],
-    python_requires=">=3.9",
+    python_requires=">=3.10",
 )
diff --git a/test_llm_webhook_feature.py b/test_llm_webhook_feature.py
new file mode 100644
index 00000000..98133e82
--- /dev/null
+++ b/test_llm_webhook_feature.py
@@ -0,0 +1,401 @@
+#!/usr/bin/env python3
+"""
+Test script to validate webhook implementation for /llm/job endpoint.
+
+This tests that the /llm/job endpoint now supports webhooks
+following the same pattern as /crawl/job.
+"""
+
+import sys
+import os
+
+# Add deploy/docker to path
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'deploy', 'docker'))
+
+def test_llm_job_payload_model():
+    """Test that LlmJobPayload includes webhook_config field"""
+    print("=" * 60)
+    print("TEST 1: LlmJobPayload Model")
+    print("=" * 60)
+
+    try:
+        from job import LlmJobPayload
+        from schemas import WebhookConfig
+        from pydantic import ValidationError
+
+        # Test with webhook_config
+        payload_dict = {
+            "url": "https://example.com",
+            "q": "Extract main content",
+            "schema": None,
+            "cache": False,
+            "provider": None,
+            "webhook_config": {
+                "webhook_url": "https://myapp.com/webhook",
+                "webhook_data_in_payload": True,
+                "webhook_headers": {"X-Secret": "token"}
+            }
+        }
+
+        payload = LlmJobPayload(**payload_dict)
+
+        print(f"✅ LlmJobPayload accepts webhook_config")
+        print(f"   - URL: {payload.url}")
+        print(f"   - Query: {payload.q}")
+        print(f"   - Webhook URL: {payload.webhook_config.webhook_url}")
+        print(f"   - Data in payload: {payload.webhook_config.webhook_data_in_payload}")
+
+        # Test without webhook_config (should be optional)
+        minimal_payload = {
+            "url": "https://example.com",
+            "q": "Extract content"
+        }
+
+        payload2 = LlmJobPayload(**minimal_payload)
+        assert payload2.webhook_config is None, "webhook_config should be optional"
+        print(f"✅ LlmJobPayload works without webhook_config (optional)")
+
+        return True
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_handle_llm_request_signature():
+    """Test that handle_llm_request accepts webhook_config parameter"""
+    print("\n" + "=" * 60)
+    print("TEST 2: handle_llm_request Function Signature")
+    print("=" * 60)
+
+    try:
+        from api import handle_llm_request
+        import inspect
+
+        sig = inspect.signature(handle_llm_request)
+        params = list(sig.parameters.keys())
+
+        print(f"Function parameters: {params}")
+
+        if 'webhook_config' in params:
+            print(f"✅ handle_llm_request has webhook_config parameter")
+
+            # Check that it's optional with default None
+            webhook_param = sig.parameters['webhook_config']
+            if webhook_param.default is None or webhook_param.default == inspect.Parameter.empty:
+                print(f"✅ webhook_config is optional (default: {webhook_param.default})")
+            else:
+                print(f"⚠️  webhook_config default is: {webhook_param.default}")
+
+            return True
+        else:
+            print(f"❌ handle_llm_request missing webhook_config parameter")
+            return False
+
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_process_llm_extraction_signature():
+    """Test that process_llm_extraction accepts webhook_config parameter"""
+    print("\n" + "=" * 60)
+    print("TEST 3: process_llm_extraction Function Signature")
+    print("=" * 60)
+
+    try:
+        from api import process_llm_extraction
+        import inspect
+
+        sig = inspect.signature(process_llm_extraction)
+        params = list(sig.parameters.keys())
+
+        print(f"Function parameters: {params}")
+
+        if 'webhook_config' in params:
+            print(f"✅ process_llm_extraction has webhook_config parameter")
+
+            webhook_param = sig.parameters['webhook_config']
+            if webhook_param.default is None or webhook_param.default == inspect.Parameter.empty:
+                print(f"✅ webhook_config is optional (default: {webhook_param.default})")
+            else:
+                print(f"⚠️  webhook_config default is: {webhook_param.default}")
+
+            return True
+        else:
+            print(f"❌ process_llm_extraction missing webhook_config parameter")
+            return False
+
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_webhook_integration_in_api():
+    """Test that api.py properly integrates webhook notifications"""
+    print("\n" + "=" * 60)
+    print("TEST 4: Webhook Integration in process_llm_extraction")
+    print("=" * 60)
+
+    try:
+        api_file = os.path.join(os.path.dirname(__file__), 'deploy', 'docker', 'api.py')
+
+        with open(api_file, 'r') as f:
+            api_content = f.read()
+
+        # Check for WebhookDeliveryService initialization
+        if 'webhook_service = WebhookDeliveryService(config)' in api_content:
+            print("✅ process_llm_extraction initializes WebhookDeliveryService")
+        else:
+            print("❌ Missing WebhookDeliveryService initialization in process_llm_extraction")
+            return False
+
+        # Check for notify_job_completion calls with llm_extraction
+        if 'task_type="llm_extraction"' in api_content:
+            print("✅ Uses correct task_type='llm_extraction' for notifications")
+        else:
+            print("❌ Missing task_type='llm_extraction' in webhook notifications")
+            return False
+
+        # Count webhook notification calls (should have at least 3: success + 2 failure paths)
+        notification_count = api_content.count('await webhook_service.notify_job_completion')
+        # Find only in process_llm_extraction function
+        llm_func_start = api_content.find('async def process_llm_extraction')
+        llm_func_end = api_content.find('\nasync def ', llm_func_start + 1)
+        if llm_func_end == -1:
+            llm_func_end = len(api_content)
+
+        llm_func_content = api_content[llm_func_start:llm_func_end]
+        llm_notification_count = llm_func_content.count('await webhook_service.notify_job_completion')
+
+        print(f"✅ Found {llm_notification_count} webhook notification calls in process_llm_extraction")
+
+        if llm_notification_count >= 3:
+            print(f"✅ Sufficient notification points (success + failure paths)")
+        else:
+            print(f"⚠️  Expected at least 3 notification calls, found {llm_notification_count}")
+
+        return True
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_job_endpoint_integration():
+    """Test that /llm/job endpoint extracts and passes webhook_config"""
+    print("\n" + "=" * 60)
+    print("TEST 5: /llm/job Endpoint Integration")
+    print("=" * 60)
+
+    try:
+        job_file = os.path.join(os.path.dirname(__file__), 'deploy', 'docker', 'job.py')
+
+        with open(job_file, 'r') as f:
+            job_content = f.read()
+
+        # Find the llm_job_enqueue function
+        llm_job_start = job_content.find('async def llm_job_enqueue')
+        llm_job_end = job_content.find('\n\n@router', llm_job_start + 1)
+        if llm_job_end == -1:
+            llm_job_end = job_content.find('\n\nasync def', llm_job_start + 1)
+
+        llm_job_func = job_content[llm_job_start:llm_job_end]
+
+        # Check for webhook_config extraction
+        if 'webhook_config = None' in llm_job_func:
+            print("✅ llm_job_enqueue initializes webhook_config variable")
+        else:
+            print("❌ Missing webhook_config initialization")
+            return False
+
+        if 'if payload.webhook_config:' in llm_job_func:
+            print("✅ llm_job_enqueue checks for payload.webhook_config")
+        else:
+            print("❌ Missing webhook_config check")
+            return False
+
+        if 'webhook_config = payload.webhook_config.model_dump(mode=\'json\')' in llm_job_func:
+            print("✅ llm_job_enqueue converts webhook_config to dict")
+        else:
+            print("❌ Missing webhook_config.model_dump conversion")
+            return False
+
+        if 'webhook_config=webhook_config' in llm_job_func:
+            print("✅ llm_job_enqueue passes webhook_config to handle_llm_request")
+        else:
+            print("❌ Missing webhook_config parameter in handle_llm_request call")
+            return False
+
+        return True
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_create_new_task_integration():
+    """Test that create_new_task stores webhook_config in Redis"""
+    print("\n" + "=" * 60)
+    print("TEST 6: create_new_task Webhook Storage")
+    print("=" * 60)
+
+    try:
+        api_file = os.path.join(os.path.dirname(__file__), 'deploy', 'docker', 'api.py')
+
+        with open(api_file, 'r') as f:
+            api_content = f.read()
+
+        # Find create_new_task function
+        create_task_start = api_content.find('async def create_new_task')
+        create_task_end = api_content.find('\nasync def ', create_task_start + 1)
+        if create_task_end == -1:
+            create_task_end = len(api_content)
+
+        create_task_func = api_content[create_task_start:create_task_end]
+
+        # Check for webhook_config storage
+        if 'if webhook_config:' in create_task_func:
+            print("✅ create_new_task checks for webhook_config")
+        else:
+            print("❌ Missing webhook_config check in create_new_task")
+            return False
+
+        if 'task_data["webhook_config"] = json.dumps(webhook_config)' in create_task_func:
+            print("✅ create_new_task stores webhook_config in Redis task data")
+        else:
+            print("❌ Missing webhook_config storage in task_data")
+            return False
+
+        # Check that webhook_config is passed to process_llm_extraction
+        if 'webhook_config' in create_task_func and 'background_tasks.add_task' in create_task_func:
+            print("✅ create_new_task passes webhook_config to background task")
+        else:
+            print("⚠️  Could not verify webhook_config passed to background task")
+
+        return True
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_pattern_consistency():
+    """Test that /llm/job follows the same pattern as /crawl/job"""
+    print("\n" + "=" * 60)
+    print("TEST 7: Pattern Consistency with /crawl/job")
+    print("=" * 60)
+
+    try:
+        api_file = os.path.join(os.path.dirname(__file__), 'deploy', 'docker', 'api.py')
+
+        with open(api_file, 'r') as f:
+            api_content = f.read()
+
+        # Find handle_crawl_job to compare pattern
+        crawl_job_start = api_content.find('async def handle_crawl_job')
+        crawl_job_end = api_content.find('\nasync def ', crawl_job_start + 1)
+        if crawl_job_end == -1:
+            crawl_job_end = len(api_content)
+        crawl_job_func = api_content[crawl_job_start:crawl_job_end]
+
+        # Find process_llm_extraction
+        llm_extract_start = api_content.find('async def process_llm_extraction')
+        llm_extract_end = api_content.find('\nasync def ', llm_extract_start + 1)
+        if llm_extract_end == -1:
+            llm_extract_end = len(api_content)
+        llm_extract_func = api_content[llm_extract_start:llm_extract_end]
+
+        print("Checking pattern consistency...")
+
+        # Both should initialize WebhookDeliveryService
+        crawl_has_service = 'webhook_service = WebhookDeliveryService(config)' in crawl_job_func
+        llm_has_service = 'webhook_service = WebhookDeliveryService(config)' in llm_extract_func
+
+        if crawl_has_service and llm_has_service:
+            print("✅ Both initialize WebhookDeliveryService")
+        else:
+            print(f"❌ Service initialization mismatch (crawl: {crawl_has_service}, llm: {llm_has_service})")
+            return False
+
+        # Both should call notify_job_completion on success
+        crawl_notifies_success = 'status="completed"' in crawl_job_func and 'notify_job_completion' in crawl_job_func
+        llm_notifies_success = 'status="completed"' in llm_extract_func and 'notify_job_completion' in llm_extract_func
+
+        if crawl_notifies_success and llm_notifies_success:
+            print("✅ Both notify on success")
+        else:
+            print(f"❌ Success notification mismatch (crawl: {crawl_notifies_success}, llm: {llm_notifies_success})")
+            return False
+
+        # Both should call notify_job_completion on failure
+        crawl_notifies_failure = 'status="failed"' in crawl_job_func and 'error=' in crawl_job_func
+        llm_notifies_failure = 'status="failed"' in llm_extract_func and 'error=' in llm_extract_func
+
+        if crawl_notifies_failure and llm_notifies_failure:
+            print("✅ Both notify on failure")
+        else:
+            print(f"❌ Failure notification mismatch (crawl: {crawl_notifies_failure}, llm: {llm_notifies_failure})")
+            return False
+
+        print("✅ /llm/job follows the same pattern as /crawl/job")
+        return True
+
+    except Exception as e:
+        print(f"❌ Failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def main():
+    """Run all tests"""
+    print("\n🧪 LLM Job Webhook Feature Validation")
+    print("=" * 60)
+    print("Testing that /llm/job now supports webhooks like /crawl/job")
+    print("=" * 60 + "\n")
+
+    results = []
+
+    # Run all tests
+    results.append(("LlmJobPayload Model", test_llm_job_payload_model()))
+    results.append(("handle_llm_request Signature", test_handle_llm_request_signature()))
+    results.append(("process_llm_extraction Signature", test_process_llm_extraction_signature()))
+    results.append(("Webhook Integration", test_webhook_integration_in_api()))
+    results.append(("/llm/job Endpoint", test_job_endpoint_integration()))
+    results.append(("create_new_task Storage", test_create_new_task_integration()))
+    results.append(("Pattern Consistency", test_pattern_consistency()))
+
+    # Print summary
+    print("\n" + "=" * 60)
+    print("TEST SUMMARY")
+    print("=" * 60)
+
+    passed = sum(1 for _, result in results if result)
+    total = len(results)
+
+    for test_name, result in results:
+        status = "✅ PASS" if result else "❌ FAIL"
+        print(f"{status} - {test_name}")
+
+    print(f"\n{'=' * 60}")
+    print(f"Results: {passed}/{total} tests passed")
+    print(f"{'=' * 60}")
+
+    if passed == total:
+        print("\n🎉 All tests passed! /llm/job webhook feature is correctly implemented.")
+        print("\n📝 Summary of changes:")
+        print("  1. LlmJobPayload model includes webhook_config field")
+        print("  2. /llm/job endpoint extracts and passes webhook_config")
+        print("  3. handle_llm_request accepts webhook_config parameter")
+        print("  4. create_new_task stores webhook_config in Redis")
+        print("  5. process_llm_extraction sends webhook notifications")
+        print("  6. Follows the same pattern as /crawl/job")
+        return 0
+    else:
+        print(f"\n⚠️  {total - passed} test(s) failed. Please review the output above.")
+        return 1
+
+if __name__ == "__main__":
+    exit(main())
diff --git a/test_webhook_implementation.py b/test_webhook_implementation.py
new file mode 100644
index 00000000..072db8b3
--- /dev/null
+++ b/test_webhook_implementation.py
@@ -0,0 +1,307 @@
+"""
+Simple test script to validate webhook implementation without running full server.
+
+This script tests:
+1. Webhook module imports and syntax
+2. WebhookDeliveryService initialization
+3. Payload construction logic
+4. Configuration parsing
+"""
+
+import sys
+import os
+import json
+from datetime import datetime, timezone
+
+# Add deploy/docker to path to import modules
+# sys.path.insert(0, '/home/user/crawl4ai/deploy/docker')
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'deploy', 'docker'))
+
+def test_imports():
+    """Test that all webhook-related modules can be imported"""
+    print("=" * 60)
+    print("TEST 1: Module Imports")
+    print("=" * 60)
+
+    try:
+        from webhook import WebhookDeliveryService
+        print("✅ webhook.WebhookDeliveryService imported successfully")
+    except Exception as e:
+        print(f"❌ Failed to import webhook module: {e}")
+        return False
+
+    try:
+        from schemas import WebhookConfig, WebhookPayload
+        print("✅ schemas.WebhookConfig imported successfully")
+        print("✅ schemas.WebhookPayload imported successfully")
+    except Exception as e:
+        print(f"❌ Failed to import schemas: {e}")
+        return False
+
+    return True
+
+def test_webhook_service_init():
+    """Test WebhookDeliveryService initialization"""
+    print("\n" + "=" * 60)
+    print("TEST 2: WebhookDeliveryService Initialization")
+    print("=" * 60)
+
+    try:
+        from webhook import WebhookDeliveryService
+
+        # Test with default config
+        config = {
+            "webhooks": {
+                "enabled": True,
+                "default_url": None,
+                "data_in_payload": False,
+                "retry": {
+                    "max_attempts": 5,
+                    "initial_delay_ms": 1000,
+                    "max_delay_ms": 32000,
+                    "timeout_ms": 30000
+                },
+                "headers": {
+                    "User-Agent": "Crawl4AI-Webhook/1.0"
+                }
+            }
+        }
+
+        service = WebhookDeliveryService(config)
+
+        print(f"✅ Service initialized successfully")
+        print(f"   - Max attempts: {service.max_attempts}")
+        print(f"   - Initial delay: {service.initial_delay}s")
+        print(f"   - Max delay: {service.max_delay}s")
+        print(f"   - Timeout: {service.timeout}s")
+
+        # Verify calculations
+        assert service.max_attempts == 5, "Max attempts should be 5"
+        assert service.initial_delay == 1.0, "Initial delay should be 1.0s"
+        assert service.max_delay == 32.0, "Max delay should be 32.0s"
+        assert service.timeout == 30.0, "Timeout should be 30.0s"
+
+        print("✅ All configuration values correct")
+
+        return True
+    except Exception as e:
+        print(f"❌ Service initialization failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_webhook_config_model():
+    """Test WebhookConfig Pydantic model"""
+    print("\n" + "=" * 60)
+    print("TEST 3: WebhookConfig Model Validation")
+    print("=" * 60)
+
+    try:
+        from schemas import WebhookConfig
+        from pydantic import ValidationError
+
+        # Test valid config
+        valid_config = {
+            "webhook_url": "https://example.com/webhook",
+            "webhook_data_in_payload": True,
+            "webhook_headers": {"X-Secret": "token123"}
+        }
+
+        config = WebhookConfig(**valid_config)
+        print(f"✅ Valid config accepted:")
+        print(f"   - URL: {config.webhook_url}")
+        print(f"   - Data in payload: {config.webhook_data_in_payload}")
+        print(f"   - Headers: {config.webhook_headers}")
+
+        # Test minimal config
+        minimal_config = {
+            "webhook_url": "https://example.com/webhook"
+        }
+
+        config2 = WebhookConfig(**minimal_config)
+        print(f"✅ Minimal config accepted (defaults applied):")
+        print(f"   - URL: {config2.webhook_url}")
+        print(f"   - Data in payload: {config2.webhook_data_in_payload}")
+        print(f"   - Headers: {config2.webhook_headers}")
+
+        # Test invalid URL
+        try:
+            invalid_config = {
+                "webhook_url": "not-a-url"
+            }
+            config3 = WebhookConfig(**invalid_config)
+            print(f"❌ Invalid URL should have been rejected")
+            return False
+        except ValidationError as e:
+            print(f"✅ Invalid URL correctly rejected")
+
+        return True
+    except Exception as e:
+        print(f"❌ Model validation test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_payload_construction():
+    """Test webhook payload construction logic"""
+    print("\n" + "=" * 60)
+    print("TEST 4: Payload Construction")
+    print("=" * 60)
+
+    try:
+        # Simulate payload construction from notify_job_completion
+        task_id = "crawl_abc123"
+        task_type = "crawl"
+        status = "completed"
+        urls = ["https://example.com"]
+
+        payload = {
+            "task_id": task_id,
+            "task_type": task_type,
+            "status": status,
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+            "urls": urls
+        }
+
+        print(f"✅ Basic payload constructed:")
+        print(json.dumps(payload, indent=2))
+
+        # Test with error
+        error_payload = {
+            "task_id": "crawl_xyz789",
+            "task_type": "crawl",
+            "status": "failed",
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+            "urls": ["https://example.com"],
+            "error": "Connection timeout"
+        }
+
+        print(f"\n✅ Error payload constructed:")
+        print(json.dumps(error_payload, indent=2))
+
+        # Test with data
+        data_payload = {
+            "task_id": "crawl_def456",
+            "task_type": "crawl",
+            "status": "completed",
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+            "urls": ["https://example.com"],
+            "data": {
+                "results": [
+                    {"url": "https://example.com", "markdown": "# Example"}
+                ]
+            }
+        }
+
+        print(f"\n✅ Data payload constructed:")
+        print(json.dumps(data_payload, indent=2))
+
+        return True
+    except Exception as e:
+        print(f"❌ Payload construction failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+def test_exponential_backoff():
+    """Test exponential backoff calculation"""
+    print("\n" + "=" * 60)
+    print("TEST 5: Exponential Backoff Calculation")
+    print("=" * 60)
+
+    try:
+        initial_delay = 1.0  # 1 second
+        max_delay = 32.0     # 32 seconds
+
+        print("Backoff delays for 5 attempts:")
+        for attempt in range(5):
+            delay = min(initial_delay * (2 ** attempt), max_delay)
+            print(f"  Attempt {attempt + 1}: {delay}s")
+
+        # Verify the sequence: 1s, 2s, 4s, 8s, 16s
+        expected = [1.0, 2.0, 4.0, 8.0, 16.0]
+        actual = [min(initial_delay * (2 ** i), max_delay) for i in range(5)]
+
+        assert actual == expected, f"Expected {expected}, got {actual}"
+        print("✅ Exponential backoff sequence correct")
+
+        return True
+    except Exception as e:
+        print(f"❌ Backoff calculation failed: {e}")
+        return False
+
+def test_api_integration():
+    """Test that api.py imports webhook module correctly"""
+    print("\n" + "=" * 60)
+    print("TEST 6: API Integration")
+    print("=" * 60)
+
+    try:
+        # Check if api.py can import webhook module
+        api_path = os.path.join(os.path.dirname(__file__), 'deploy', 'docker', 'api.py')
+        with open(api_path, 'r') as f:
+            api_content = f.read()
+
+        if 'from webhook import WebhookDeliveryService' in api_content:
+            print("✅ api.py imports WebhookDeliveryService")
+        else:
+            print("❌ api.py missing webhook import")
+            return False
+
+        if 'WebhookDeliveryService(config)' in api_content:
+            print("✅ api.py initializes WebhookDeliveryService")
+        else:
+            print("❌ api.py doesn't initialize WebhookDeliveryService")
+            return False
+
+        if 'notify_job_completion' in api_content:
+            print("✅ api.py calls notify_job_completion")
+        else:
+            print("❌ api.py doesn't call notify_job_completion")
+            return False
+
+        return True
+    except Exception as e:
+        print(f"❌ API integration check failed: {e}")
+        return False
+
+def main():
+    """Run all tests"""
+    print("\n🧪 Webhook Implementation Validation Tests")
+    print("=" * 60)
+
+    results = []
+
+    # Run tests
+    results.append(("Module Imports", test_imports()))
+    results.append(("Service Initialization", test_webhook_service_init()))
+    results.append(("Config Model", test_webhook_config_model()))
+    results.append(("Payload Construction", test_payload_construction()))
+    results.append(("Exponential Backoff", test_exponential_backoff()))
+    results.append(("API Integration", test_api_integration()))
+
+    # Print summary
+    print("\n" + "=" * 60)
+    print("TEST SUMMARY")
+    print("=" * 60)
+
+    passed = sum(1 for _, result in results if result)
+    total = len(results)
+
+    for test_name, result in results:
+        status = "✅ PASS" if result else "❌ FAIL"
+        print(f"{status} - {test_name}")
+
+    print(f"\n{'=' * 60}")
+    print(f"Results: {passed}/{total} tests passed")
+    print(f"{'=' * 60}")
+
+    if passed == total:
+        print("\n🎉 All tests passed! Webhook implementation is valid.")
+        return 0
+    else:
+        print(f"\n⚠️  {total - passed} test(s) failed. Please review the output above.")
+        return 1
+
+if __name__ == "__main__":
+    exit(main())
diff --git a/tests/WEBHOOK_TEST_README.md b/tests/WEBHOOK_TEST_README.md
new file mode 100644
index 00000000..4f3c68a0
--- /dev/null
+++ b/tests/WEBHOOK_TEST_README.md
@@ -0,0 +1,251 @@
+# Webhook Feature Test Script
+
+This directory contains a comprehensive test script for the webhook feature implementation.
+
+## Overview
+
+The `test_webhook_feature.sh` script automates the entire process of testing the webhook feature:
+
+1. ✅ Fetches and switches to the webhook feature branch
+2. ✅ Activates the virtual environment
+3. ✅ Installs all required dependencies
+4. ✅ Starts Redis server in background
+5. ✅ Starts Crawl4AI server in background
+6. ✅ Runs webhook integration test
+7. ✅ Verifies job completion via webhook
+8. ✅ Cleans up and returns to original branch
+
+## Prerequisites
+
+- Python 3.10+
+- Virtual environment already created (`venv/` in project root)
+- Git repository with the webhook feature branch
+- `redis-server` (script will attempt to install if missing)
+- `curl` and `lsof` commands available
+
+## Usage
+
+### Quick Start
+
+From the project root:
+
+```bash
+./tests/test_webhook_feature.sh
+```
+
+Or from the tests directory:
+
+```bash
+cd tests
+./test_webhook_feature.sh
+```
+
+### What the Script Does
+
+#### Step 1: Branch Management
+- Saves your current branch
+- Fetches the webhook feature branch from remote
+- Switches to the webhook feature branch
+
+#### Step 2: Environment Setup
+- Activates your existing virtual environment
+- Installs dependencies from `deploy/docker/requirements.txt`
+- Installs Flask for the webhook receiver
+
+#### Step 3: Service Startup
+- Starts Redis server on port 6379
+- Starts Crawl4AI server on port 11235
+- Waits for server health check to pass
+
+#### Step 4: Webhook Test
+- Creates a webhook receiver on port 8080
+- Submits a crawl job for `https://example.com` with webhook config
+- Waits for webhook notification (60s timeout)
+- Verifies webhook payload contains expected data
+
+#### Step 5: Cleanup
+- Stops webhook receiver
+- Stops Crawl4AI server
+- Stops Redis server
+- Returns to your original branch
+
+## Expected Output
+
+```
+[INFO] Starting webhook feature test script
+[INFO] Project root: /path/to/crawl4ai
+[INFO] Step 1: Fetching PR branch...
+[INFO] Current branch: develop
+[SUCCESS] Branch fetched
+[INFO] Step 2: Switching to branch: claude/implement-webhook-crawl-feature-011CULZY1Jy8N5MUkZqXkRVp
+[SUCCESS] Switched to webhook feature branch
+[INFO] Step 3: Activating virtual environment...
+[SUCCESS] Virtual environment activated
+[INFO] Step 4: Installing server dependencies...
+[SUCCESS] Dependencies installed
+[INFO] Step 5a: Starting Redis...
+[SUCCESS] Redis started (PID: 12345)
+[INFO] Step 5b: Starting server on port 11235...
+[INFO] Server started (PID: 12346)
+[INFO] Waiting for server to be ready...
+[SUCCESS] Server is ready!
+[INFO] Step 6: Creating webhook test script...
+[INFO] Running webhook test...
+
+🚀 Submitting crawl job with webhook...
+✅ Job submitted successfully, task_id: crawl_abc123
+⏳ Waiting for webhook notification...
+
+✅ Webhook received: {
+  "task_id": "crawl_abc123",
+  "task_type": "crawl",
+  "status": "completed",
+  "timestamp": "2025-10-22T00:00:00.000000+00:00",
+  "urls": ["https://example.com"],
+  "data": { ... }
+}
+
+✅ Webhook received!
+   Task ID: crawl_abc123
+   Status: completed
+   URLs: ['https://example.com']
+   ✅ Data included in webhook payload
+   📄 Crawled 1 URL(s)
+      - https://example.com: 1234 chars
+
+🎉 Webhook test PASSED!
+
+[INFO] Step 7: Verifying test results...
+[SUCCESS] ✅ Webhook test PASSED!
+[SUCCESS] All tests completed successfully! 🎉
+[INFO] Cleanup will happen automatically...
+[INFO] Starting cleanup...
+[INFO] Stopping webhook receiver...
+[INFO] Stopping server...
+[INFO] Stopping Redis...
+[INFO] Switching back to branch: develop
+[SUCCESS] Cleanup complete
+```
+
+## Troubleshooting
+
+### Server Failed to Start
+
+If the server fails to start, check the logs:
+
+```bash
+tail -100 /tmp/crawl4ai_server.log
+```
+
+Common issues:
+- Port 11235 already in use: `lsof -ti:11235 | xargs kill -9`
+- Missing dependencies: Check that all packages are installed
+
+### Redis Connection Failed
+
+Check if Redis is running:
+
+```bash
+redis-cli ping
+# Should return: PONG
+```
+
+If not running:
+
+```bash
+redis-server --port 6379 --daemonize yes
+```
+
+### Webhook Not Received
+
+The script has a 60-second timeout for webhook delivery. If the webhook isn't received:
+
+1. Check server logs: `/tmp/crawl4ai_server.log`
+2. Verify webhook receiver is running on port 8080
+3. Check network connectivity between components
+
+### Script Interruption
+
+If the script is interrupted (Ctrl+C), cleanup happens automatically via trap. The script will:
+- Kill all background processes
+- Stop Redis
+- Return to your original branch
+
+To manually cleanup if needed:
+
+```bash
+# Kill processes by port
+lsof -ti:11235 | xargs kill -9  # Server
+lsof -ti:8080 | xargs kill -9   # Webhook receiver
+lsof -ti:6379 | xargs kill -9   # Redis
+
+# Return to your branch
+git checkout develop  # or your branch name
+```
+
+## Testing Different URLs
+
+To test with a different URL, modify the script or create a custom test:
+
+```python
+payload = {
+    "urls": ["https://your-url-here.com"],
+    "browser_config": {"headless": True},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+        "webhook_url": "http://localhost:8080/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+```
+
+## Files Generated
+
+The script creates temporary files:
+
+- `/tmp/crawl4ai_server.log` - Server output logs
+- `/tmp/test_webhook.py` - Webhook test Python script
+
+These are not cleaned up automatically so you can review them after the test.
+
+## Exit Codes
+
+- `0` - All tests passed successfully
+- `1` - Test failed (check output for details)
+
+## Safety Features
+
+- ✅ Automatic cleanup on exit, interrupt, or error
+- ✅ Returns to original branch on completion
+- ✅ Kills all background processes
+- ✅ Comprehensive error handling
+- ✅ Colored output for easy reading
+- ✅ Detailed logging at each step
+
+## Notes
+
+- The script uses `set -e` to exit on any command failure
+- All background processes are tracked and cleaned up
+- The virtual environment must exist before running
+- Redis must be available (installed or installable via apt-get/brew)
+
+## Integration with CI/CD
+
+This script can be integrated into CI/CD pipelines:
+
+```yaml
+# Example GitHub Actions
+- name: Test Webhook Feature
+  run: |
+    chmod +x tests/test_webhook_feature.sh
+    ./tests/test_webhook_feature.sh
+```
+
+## Support
+
+If you encounter issues:
+
+1. Check the troubleshooting section above
+2. Review server logs at `/tmp/crawl4ai_server.log`
+3. Ensure all prerequisites are met
+4. Open an issue with the full output of the script
diff --git a/tests/adaptive/test_llm_embedding.py b/tests/adaptive/test_llm_embedding.py
new file mode 100644
index 00000000..52794744
--- /dev/null
+++ b/tests/adaptive/test_llm_embedding.py
@@ -0,0 +1,154 @@
+import asyncio
+import os
+from crawl4ai import AsyncWebCrawler, AdaptiveCrawler, AdaptiveConfig, LLMConfig
+
+
+async def test_configuration(name: str, config: AdaptiveConfig, url: str, query: str):
+    """Test a specific configuration"""
+    print(f"\n{'='*60}")
+    print(f"Configuration: {name}")
+    print(f"{'='*60}")
+    
+    async with AsyncWebCrawler(verbose=False) as crawler:
+        adaptive = AdaptiveCrawler(crawler, config)
+        result = await adaptive.digest(start_url=url, query=query)
+        
+        print("\n" + "="*50)
+        print("CRAWL STATISTICS")
+        print("="*50)
+        adaptive.print_stats(detailed=False)
+        
+        # Get the most relevant content found
+        print("\n" + "="*50)
+        print("MOST RELEVANT PAGES")
+        print("="*50)
+        
+        relevant_pages = adaptive.get_relevant_content(top_k=5)
+        for i, page in enumerate(relevant_pages, 1):
+            print(f"\n{i}. {page['url']}")
+            print(f"   Relevance Score: {page['score']:.2%}")
+            
+            # Show a snippet of the content
+            content = page['content'] or ""
+            if content:
+                snippet = content[:200].replace('\n', ' ')
+                if len(content) > 200:
+                    snippet += "..."
+                print(f"   Preview: {snippet}")
+        
+        print(f"\n{'='*50}")
+        print(f"Pages crawled: {len(result.crawled_urls)}")
+        print(f"Final confidence: {adaptive.confidence:.1%}")
+        print(f"Stopped reason: {result.metrics.get('stopped_reason', 'max_pages')}")
+        
+        if result.metrics.get('is_irrelevant', False):
+            print("⚠️  Query detected as irrelevant!")
+        
+        return result
+
+
+async def llm_embedding():
+    """Demonstrate various embedding configurations"""
+    
+    print("EMBEDDING STRATEGY CONFIGURATION EXAMPLES")
+    print("=" * 60)
+    
+    # Base URL and query for testing
+    test_url = "https://docs.python.org/3/library/asyncio.html"
+    
+    openai_llm_config = LLMConfig(
+        provider='openai/text-embedding-3-small',
+        api_token=os.getenv('OPENAI_API_KEY'),
+        temperature=0.7,
+        max_tokens=2000
+    )
+    config_openai = AdaptiveConfig(
+        strategy="embedding",
+        max_pages=10,
+        
+        # Use OpenAI embeddings
+        embedding_llm_config=openai_llm_config,
+        # embedding_llm_config={
+        #     'provider': 'openai/text-embedding-3-small',
+        #     'api_token': os.getenv('OPENAI_API_KEY')
+        # },
+        
+        # OpenAI embeddings are high quality, can be stricter
+        embedding_k_exp=4.0,
+        n_query_variations=12
+    )
+    
+    await test_configuration(
+        "OpenAI Embeddings",
+        config_openai,
+        test_url,
+        # "event-driven architecture patterns"
+        "async await context managers coroutines"
+    )
+    return
+    
+    
+
+async def basic_adaptive_crawling():
+    """Basic adaptive crawling example"""
+    
+    # Initialize the crawler
+    async with AsyncWebCrawler(verbose=True) as crawler:
+        # Create an adaptive crawler with default settings (statistical strategy)
+        adaptive = AdaptiveCrawler(crawler)
+        
+        # Note: You can also use embedding strategy for semantic understanding:
+        # from crawl4ai import AdaptiveConfig
+        # config = AdaptiveConfig(strategy="embedding")
+        # adaptive = AdaptiveCrawler(crawler, config)
+        
+        # Start adaptive crawling
+        print("Starting adaptive crawl for Python async programming information...")
+        result = await adaptive.digest(
+            start_url="https://docs.python.org/3/library/asyncio.html",
+            query="async await context managers coroutines"
+        )
+        
+        # Display crawl statistics
+        print("\n" + "="*50)
+        print("CRAWL STATISTICS")
+        print("="*50)
+        adaptive.print_stats(detailed=False)
+        
+        # Get the most relevant content found
+        print("\n" + "="*50)
+        print("MOST RELEVANT PAGES")
+        print("="*50)
+        
+        relevant_pages = adaptive.get_relevant_content(top_k=5)
+        for i, page in enumerate(relevant_pages, 1):
+            print(f"\n{i}. {page['url']}")
+            print(f"   Relevance Score: {page['score']:.2%}")
+            
+            # Show a snippet of the content
+            content = page['content'] or ""
+            if content:
+                snippet = content[:200].replace('\n', ' ')
+                if len(content) > 200:
+                    snippet += "..."
+                print(f"   Preview: {snippet}")
+        
+        # Show final confidence
+        print(f"\n{'='*50}")
+        print(f"Final Confidence: {adaptive.confidence:.2%}")
+        print(f"Total Pages Crawled: {len(result.crawled_urls)}")
+        print(f"Knowledge Base Size: {len(adaptive.state.knowledge_base)} documents")
+        
+        
+        if adaptive.confidence >= 0.8:
+            print("✓ High confidence - can answer detailed questions about async Python")
+        elif adaptive.confidence >= 0.6:
+            print("~ Moderate confidence - can answer basic questions") 
+        else:
+            print("✗ Low confidence - need more information")
+
+
+
+if __name__ == "__main__":
+    asyncio.run(llm_embedding())
+    # asyncio.run(basic_adaptive_crawling())
\ No newline at end of file
diff --git a/tests/async/test_0.4.2_browser_manager.py b/tests/async/test_0.4.2_browser_manager.py
index 21b4be11..635b731f 100644
--- a/tests/async/test_0.4.2_browser_manager.py
+++ b/tests/async/test_0.4.2_browser_manager.py
@@ -112,7 +112,7 @@ async def test_proxy_settings():
         headless=True,
         verbose=False,
         user_agent="Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36",
-        proxy="http://127.0.0.1:8080",  # Assuming local proxy server for test
+        proxy_config={"server": "http://127.0.0.1:8080"},  # Assuming local proxy server for test
         use_managed_browser=False,
         use_persistent_context=False,
     ) as crawler:
diff --git a/tests/docker/test_filter_deep_crawl.py b/tests/docker/test_filter_deep_crawl.py
new file mode 100644
index 00000000..4ee0df40
--- /dev/null
+++ b/tests/docker/test_filter_deep_crawl.py
@@ -0,0 +1,201 @@
+"""
+Test the complete fix for both the filter serialization and JSON serialization issues.
+"""
+
+import asyncio
+import httpx
+
+from crawl4ai import BrowserConfig, CacheMode, CrawlerRunConfig
+from crawl4ai.deep_crawling import BFSDeepCrawlStrategy, FilterChain, URLPatternFilter
+
+BASE_URL = "http://localhost:11234/"  # Adjust port as needed
+
+async def test_with_docker_client():
+    """Test using the Docker client (same as 1419.py)."""
+    from crawl4ai.docker_client import Crawl4aiDockerClient
+    
+    print("=" * 60)
+    print("Testing with Docker Client")
+    print("=" * 60)
+    
+    try:
+        async with Crawl4aiDockerClient(
+            base_url=BASE_URL,
+            verbose=True,
+        ) as client:
+            
+            # Create filter chain - testing the serialization fix
+            filter_chain = [
+                URLPatternFilter(
+                    # patterns=["*about*", "*privacy*", "*terms*"],
+                    patterns=["*advanced*"],
+                    reverse=True
+                ),
+            ]
+            
+            crawler_config = CrawlerRunConfig(
+                deep_crawl_strategy=BFSDeepCrawlStrategy(
+                    max_depth=2,  # Keep it shallow for testing
+                    # max_pages=5,  # Limit pages for testing
+                    filter_chain=FilterChain(filter_chain)
+                ),
+                cache_mode=CacheMode.BYPASS,
+            )
+            
+            print("\n1. Testing crawl with filters...")
+            results = await client.crawl(
+                ["https://docs.crawl4ai.com"],  # Simple test page
+                browser_config=BrowserConfig(headless=True),
+                crawler_config=crawler_config,
+            )
+            
+            if results:
+                print(f"✅ Crawl succeeded! Type: {type(results)}")
+                if hasattr(results, 'success'):
+                    print(f"✅ Results success: {results.success}")
+                    # Test that we can iterate results without JSON errors
+                    if hasattr(results, '__iter__'):
+                        for i, result in enumerate(results):
+                            if hasattr(result, 'url'):
+                                print(f"   Result {i}: {result.url[:50]}...")
+                            else:
+                                print(f"   Result {i}: {str(result)[:50]}...")
+                else:
+                    # Handle list of results
+                    print(f"✅ Got {len(results)} results")
+                    for i, result in enumerate(results[:3]):  # Show first 3
+                        print(f"   Result {i}: {result.url[:50]}...")
+            else:
+                print("❌ Crawl failed - no results returned")
+                return False
+                
+        print("\n✅ Docker client test completed successfully!")
+        return True
+        
+    except Exception as e:
+        print(f"❌ Docker client test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+
+async def test_with_rest_api():
+    """Test using REST API directly."""
+    print("\n" + "=" * 60)
+    print("Testing with REST API")
+    print("=" * 60)
+    
+    # Create filter configuration
+    deep_crawl_strategy_payload = {
+        "type": "BFSDeepCrawlStrategy",
+        "params": {
+            "max_depth": 2,
+            # "max_pages": 5,
+            "filter_chain": {
+                "type": "FilterChain",
+                "params": {
+                    "filters": [
+                        {
+                            "type": "URLPatternFilter",
+                            "params": {
+                                "patterns": ["*advanced*"],
+                                "reverse": True
+                            }
+                        }
+                    ]
+                }
+            }
+        }
+    }
+    
+    crawl_payload = {
+        "urls": ["https://docs.crawl4ai.com"],
+        "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
+        "crawler_config": {
+            "type": "CrawlerRunConfig",
+            "params": {
+                "deep_crawl_strategy": deep_crawl_strategy_payload,
+                "cache_mode": "bypass"
+            }
+        }
+    }
+    
+    try:
+        async with httpx.AsyncClient() as client:
+            print("\n1. Sending crawl request to REST API...")
+            response = await client.post(
+                f"{BASE_URL}crawl",
+                json=crawl_payload,
+                timeout=30
+            )
+            
+            if response.status_code == 200:
+                print(f"✅ REST API returned 200 OK")
+                data = response.json()
+                if data.get("success"):
+                    results = data.get("results", [])
+                    print(f"✅ Got {len(results)} results")
+                    for i, result in enumerate(results[:3]):
+                        print(f"   Result {i}: {result.get('url', 'unknown')[:50]}...")
+                else:
+                    print(f"❌ Crawl not successful: {data}")
+                    return False
+            else:
+                print(f"❌ REST API returned {response.status_code}")
+                print(f"   Response: {response.text[:500]}")
+                return False
+                
+        print("\n✅ REST API test completed successfully!")
+        return True
+        
+    except Exception as e:
+        print(f"❌ REST API test failed: {e}")
+        import traceback
+        traceback.print_exc()
+        return False
+
+
+async def main():
+    """Run all tests."""
+    print("\n🧪 TESTING COMPLETE FIX FOR DOCKER FILTER AND JSON ISSUES")
+    print("=" * 60)
+    print("Make sure the server is running with the updated code!")
+    print("=" * 60)
+    
+    results = []
+    
+    # Test 1: Docker client
+    docker_passed = await test_with_docker_client()
+    results.append(("Docker Client", docker_passed))
+    
+    # Test 2: REST API
+    rest_passed = await test_with_rest_api()
+    results.append(("REST API", rest_passed))
+    
+    # Summary
+    print("\n" + "=" * 60)
+    print("FINAL TEST SUMMARY")
+    print("=" * 60)
+    
+    all_passed = True
+    for test_name, passed in results:
+        status = "✅ PASSED" if passed else "❌ FAILED"
+        print(f"{test_name:20} {status}")
+        if not passed:
+            all_passed = False
+    
+    print("=" * 60)
+    if all_passed:
+        print("🎉 ALL TESTS PASSED! Both issues are fully resolved!")
+        print("\nThe fixes:")
+        print("1. Filter serialization: Fixed by not serializing private __slots__")
+        print("2. JSON serialization: Fixed by removing property descriptors from model_dump()")
+    else:
+        print("⚠️ Some tests failed. Please check the server logs for details.")
+    
+    return 0 if all_passed else 1
+
+
+if __name__ == "__main__":
+    import sys
+    sys.exit(asyncio.run(main()))
\ No newline at end of file
diff --git a/tests/docker/test_hooks_client.py b/tests/docker/test_hooks_client.py
new file mode 100644
index 00000000..bfac353f
--- /dev/null
+++ b/tests/docker/test_hooks_client.py
@@ -0,0 +1,372 @@
+#!/usr/bin/env python3
+"""
+Test client for demonstrating user-provided hooks in Crawl4AI Docker API
+"""
+
+import requests
+import json
+from typing import Dict, Any
+
+
+API_BASE_URL = "http://localhost:11234"  # Adjust if needed
+
+
+def test_hooks_info():
+    """Get information about available hooks"""
+    print("=" * 70)
+    print("Testing: GET /hooks/info")
+    print("=" * 70)
+    
+    response = requests.get(f"{API_BASE_URL}/hooks/info")
+    if response.status_code == 200:
+        data = response.json()
+        print("Available Hook Points:")
+        for hook, info in data['available_hooks'].items():
+            print(f"\n{hook}:")
+            print(f"  Parameters: {', '.join(info['parameters'])}")
+            print(f"  Description: {info['description']}")
+    else:
+        print(f"Error: {response.status_code}")
+        print(response.text)
+
+
+def test_basic_crawl_with_hooks():
+    """Test basic crawling with user-provided hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: POST /crawl with hooks")
+    print("=" * 70)
+    
+    # Define hooks as Python code strings
+    hooks_code = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("Hook: Setting up page context")
+    # Block images to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp}", lambda route: route.abort())
+    print("Hook: Images blocked")
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("Hook: Before retrieving HTML")
+    # Scroll to bottom to load lazy content
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    print("Hook: Scrolled to bottom")
+    return page
+""",
+        
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"Hook: About to navigate to {url}")
+    # Add custom headers
+    await page.set_extra_http_headers({
+        'X-Test-Header': 'crawl4ai-hooks-test'
+    })
+    return page
+"""
+    }
+    
+    # Create request payload
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 30
+        }
+    }
+    
+    print("Sending request with hooks...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("\n✅ Crawl successful!")
+        
+        # Check hooks status
+        if 'hooks' in data:
+            hooks_info = data['hooks']
+            print("\nHooks Execution Summary:")
+            print(f"  Status: {hooks_info['status']['status']}")
+            print(f"  Attached hooks: {', '.join(hooks_info['status']['attached_hooks'])}")
+            
+            if hooks_info['status']['validation_errors']:
+                print("\n⚠️ Validation Errors:")
+                for error in hooks_info['status']['validation_errors']:
+                    print(f"  - {error['hook_point']}: {error['error']}")
+            
+            if 'summary' in hooks_info:
+                summary = hooks_info['summary']
+                print(f"\nExecution Statistics:")
+                print(f"  Total executions: {summary['total_executions']}")
+                print(f"  Successful: {summary['successful']}")
+                print(f"  Failed: {summary['failed']}")
+                print(f"  Timed out: {summary['timed_out']}")
+                print(f"  Success rate: {summary['success_rate']:.1f}%")
+            
+            if hooks_info['execution_log']:
+                print("\nExecution Log:")
+                for log_entry in hooks_info['execution_log']:
+                    status_icon = "✅" if log_entry['status'] == 'success' else "❌"
+                    print(f"  {status_icon} {log_entry['hook_point']}: {log_entry['status']} ({log_entry.get('execution_time', 0):.2f}s)")
+            
+            if hooks_info['errors']:
+                print("\n❌ Hook Errors:")
+                for error in hooks_info['errors']:
+                    print(f"  - {error['hook_point']}: {error['error']}")
+        
+        # Show crawl results
+        if 'results' in data:
+            print(f"\nCrawled {len(data['results'])} URL(s)")
+            for result in data['results']:
+                print(f"  - {result['url']}: {'✅' if result['success'] else '❌'}")
+    
+    else:
+        print(f"❌ Error: {response.status_code}")
+        print(response.text)
+
+
+def test_invalid_hook():
+    """Test with an invalid hook to see error handling"""
+    print("\n" + "=" * 70)
+    print("Testing: Invalid hook handling")
+    print("=" * 70)
+    
+    # Intentionally broken hook
+    hooks_code = {
+        "on_page_context_created": """
+def hook(page, context):  # Missing async!
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # This will cause an error
+    await page.non_existent_method()
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 5
+        }
+    }
+    
+    print("Sending request with invalid hooks...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        
+        if 'hooks' in data:
+            hooks_info = data['hooks']
+            print(f"\nHooks Status: {hooks_info['status']['status']}")
+            
+            if hooks_info['status']['validation_errors']:
+                print("\n✅ Validation caught errors (as expected):")
+                for error in hooks_info['status']['validation_errors']:
+                    print(f"  - {error['hook_point']}: {error['error']}")
+            
+            if hooks_info['errors']:
+                print("\n✅ Runtime errors handled gracefully:")
+                for error in hooks_info['errors']:
+                    print(f"  - {error['hook_point']}: {error['error']}")
+            
+            # The crawl should still succeed despite hook errors
+            if data.get('success'):
+                print("\n✅ Crawl succeeded despite hook errors (error isolation working!)")
+    
+    else:
+        print(f"Error: {response.status_code}")
+        print(response.text)
+
+
+def test_authentication_hook():
+    """Test authentication using hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: Authentication with hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    # For httpbin.org basic auth test, set Authorization header
+    import base64
+    
+    # httpbin.org/basic-auth/user/passwd expects username="user" and password="passwd"
+    credentials = base64.b64encode(b"user:passwd").decode('ascii')
+    
+    await page.set_extra_http_headers({
+        'Authorization': f'Basic {credentials}'
+    })
+    
+    print(f"Hook: Set Authorization header for {url}")
+    return page
+""",
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Example: Add cookies for session tracking
+    await context.add_cookies([
+        {
+            'name': 'session_id',
+            'value': 'test_session_123',
+            'domain': '.httpbin.org',
+            'path': '/',
+            'httpOnly': True,
+            'secure': True
+        }
+    ])
+    
+    print("Hook: Added session cookie")
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/basic-auth/user/passwd"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 30
+        }
+    }
+    
+    print("Sending request with authentication hook...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        if data.get('success'):
+            print("✅ Crawl with authentication hook successful")
+            
+            # Check if hooks executed
+            if 'hooks' in data:
+                hooks_info = data['hooks']
+                if hooks_info.get('summary', {}).get('successful', 0) > 0:
+                    print(f"✅ Authentication hooks executed: {hooks_info['summary']['successful']} successful")
+                
+                # Check for any hook errors
+                if hooks_info.get('errors'):
+                    print("⚠️ Hook errors:")
+                    for error in hooks_info['errors']:
+                        print(f"  - {error}")
+            
+            # Check if authentication worked by looking at the result
+            if 'results' in data and len(data['results']) > 0:
+                result = data['results'][0]
+                if result.get('success'):
+                    print("✅ Page crawled successfully (authentication worked!)")
+                    # httpbin.org/basic-auth returns JSON with authenticated=true when successful
+                    if 'authenticated' in str(result.get('html', '')):
+                        print("✅ Authentication confirmed in response content")
+                else:
+                    print(f"❌ Crawl failed: {result.get('error_message', 'Unknown error')}")
+        else:
+            print("❌ Request failed")
+            print(f"Response: {json.dumps(data, indent=2)}")
+    else:
+        print(f"❌ Error: {response.status_code}")
+        try:
+            error_data = response.json()
+            print(f"Error details: {json.dumps(error_data, indent=2)}")
+        except:
+            print(f"Error text: {response.text[:500]}")
+
+
+def test_streaming_with_hooks():
+    """Test streaming endpoint with hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: POST /crawl/stream with hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    await page.evaluate("document.querySelectorAll('img').forEach(img => img.remove())")
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 10
+        }
+    }
+    
+    print("Sending streaming request with hooks...")
+    
+    with requests.post(f"{API_BASE_URL}/crawl/stream", json=payload, stream=True) as response:
+        if response.status_code == 200:
+            # Check headers for hooks status
+            hooks_status = response.headers.get('X-Hooks-Status')
+            if hooks_status:
+                print(f"Hooks Status (from header): {hooks_status}")
+            
+            print("\nStreaming results:")
+            for line in response.iter_lines():
+                if line:
+                    try:
+                        result = json.loads(line)
+                        if 'url' in result:
+                            print(f"  Received: {result['url']}")
+                        elif 'status' in result:
+                            print(f"  Stream status: {result['status']}")
+                    except json.JSONDecodeError:
+                        print(f"  Raw: {line.decode()}")
+        else:
+            print(f"Error: {response.status_code}")
+
+
+def test_basic_without_hooks():
+    """Test basic crawl without hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: POST /crawl with no hooks")
+    print("=" * 70)
+
+    payload = {
+        "urls": ["https://httpbin.org/html", "https://httpbin.org/json"]
+    }
+
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    if response.status_code == 200:
+        data = response.json()
+        print(f"Response: {json.dumps(data, indent=2)}")
+    else:
+        print(f"Error: {response.status_code}")
+
+
+def main():
+    """Run all tests"""
+    print("🔧 Crawl4AI Docker API - Hooks Testing")
+    print("=" * 70)
+    
+    # Test 1: Get hooks information
+    # test_hooks_info()
+    
+    # Test 2: Basic crawl with hooks
+    # test_basic_crawl_with_hooks()
+    
+    # Test 3: Invalid hooks (error handling)
+    test_invalid_hook()
+    
+    # # Test 4: Authentication hook
+    # test_authentication_hook()
+    
+    # # Test 5: Streaming with hooks
+    # test_streaming_with_hooks()
+
+    # # Test 6: Basic crawl without hooks
+    # test_basic_without_hooks()
+
+    print("\n" + "=" * 70)
+    print("✅ All tests completed!")
+    print("=" * 70)
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/tests/docker/test_hooks_comprehensive.py b/tests/docker/test_hooks_comprehensive.py
new file mode 100644
index 00000000..37783d60
--- /dev/null
+++ b/tests/docker/test_hooks_comprehensive.py
@@ -0,0 +1,512 @@
+#!/usr/bin/env python3
+"""
+Comprehensive test demonstrating all hook types from hooks_example.py
+adapted for the Docker API with real URLs
+"""
+
+import requests
+import json
+import time
+from typing import Dict, Any
+
+API_BASE_URL = "http://localhost:11234"
+
+
+def test_all_hooks_demo():
+    """Demonstrate all 8 hook types with practical examples"""
+    print("=" * 70)
+    print("Testing: All Hooks Comprehensive Demo")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_browser_created": """
+async def hook(browser, **kwargs):
+    # Hook called after browser is created
+    print("[HOOK] on_browser_created - Browser is ready!")
+    # Browser-level configurations would go here
+    return browser
+""",
+        
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    # Hook called after a new page and context are created
+    print("[HOOK] on_page_context_created - New page created!")
+    
+    # Set viewport size for consistent rendering
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    
+    # Add cookies for the session (using httpbin.org domain)
+    await context.add_cookies([
+        {
+            "name": "test_session",
+            "value": "abc123xyz",
+            "domain": ".httpbin.org",
+            "path": "/",
+            "httpOnly": True,
+            "secure": True
+        }
+    ])
+    
+    # Block ads and tracking scripts to speed up crawling
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg}", lambda route: route.abort())
+    await context.route("**/analytics/*", lambda route: route.abort())
+    await context.route("**/ads/*", lambda route: route.abort())
+    
+    print("[HOOK] Viewport set, cookies added, and ads blocked")
+    return page
+""",
+        
+        "on_user_agent_updated": """
+async def hook(page, context, user_agent, **kwargs):
+    # Hook called when user agent is updated
+    print(f"[HOOK] on_user_agent_updated - User agent: {user_agent[:50]}...")
+    return page
+""",
+        
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    # Hook called before navigating to each URL
+    print(f"[HOOK] before_goto - About to visit: {url}")
+    
+    # Add custom headers for the request
+    await page.set_extra_http_headers({
+        "X-Custom-Header": "crawl4ai-test",
+        "Accept-Language": "en-US,en;q=0.9",
+        "DNT": "1"
+    })
+    
+    return page
+""",
+        
+        "after_goto": """
+async def hook(page, context, url, response, **kwargs):
+    # Hook called after navigating to each URL
+    print(f"[HOOK] after_goto - Successfully loaded: {url}")
+    
+    # Wait a moment for dynamic content to load
+    await page.wait_for_timeout(1000)
+    
+    # Check if specific elements exist (with error handling)
+    try:
+        # For httpbin.org, wait for body element
+        await page.wait_for_selector("body", timeout=2000)
+        print("[HOOK] Body element found and loaded")
+    except:
+        print("[HOOK] Timeout waiting for body, continuing anyway")
+    
+    return page
+""",
+        
+        "on_execution_started": """
+async def hook(page, context, **kwargs):
+    # Hook called after custom JavaScript execution
+    print("[HOOK] on_execution_started - Custom JS executed!")
+    
+    # You could inject additional JavaScript here if needed
+    await page.evaluate("console.log('[INJECTED] Hook JS running');")
+    
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    # Hook called before retrieving the HTML content
+    print("[HOOK] before_retrieve_html - Preparing to get HTML")
+    
+    # Scroll to bottom to trigger lazy loading
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+    await page.wait_for_timeout(500)
+    
+    # Scroll back to top
+    await page.evaluate("window.scrollTo(0, 0);")
+    await page.wait_for_timeout(500)
+    
+    # One more scroll to middle for good measure
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight / 2);")
+    
+    print("[HOOK] Scrolling completed for lazy-loaded content")
+    return page
+""",
+        
+        "before_return_html": """
+async def hook(page, context, html, **kwargs):
+    # Hook called before returning the HTML content
+    print(f"[HOOK] before_return_html - HTML length: {len(html)} characters")
+    
+    # Log some page metrics
+    metrics = await page.evaluate('''() => {
+        return {
+            images: document.images.length,
+            links: document.links.length,
+            scripts: document.scripts.length
+        }
+    }''')
+    
+    print(f"[HOOK] Page metrics - Images: {metrics['images']}, Links: {metrics['links']}, Scripts: {metrics['scripts']}")
+    
+    return page
+"""
+    }
+    
+    # Create request payload
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 30
+        },
+        "crawler_config": {
+            "js_code": "window.scrollTo(0, document.body.scrollHeight);",
+            "wait_for": "body",
+            "cache_mode": "bypass"
+        }
+    }
+    
+    print("\nSending request with all 8 hooks...")
+    start_time = time.time()
+    
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    elapsed_time = time.time() - start_time
+    print(f"Request completed in {elapsed_time:.2f} seconds")
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("\n✅ Request successful!")
+        
+        # Check hooks execution
+        if 'hooks' in data:
+            hooks_info = data['hooks']
+            print("\n📊 Hooks Execution Summary:")
+            print(f"  Status: {hooks_info['status']['status']}")
+            print(f"  Attached hooks: {len(hooks_info['status']['attached_hooks'])}")
+            
+            for hook_name in hooks_info['status']['attached_hooks']:
+                print(f"    ✓ {hook_name}")
+            
+            if 'summary' in hooks_info:
+                summary = hooks_info['summary']
+                print(f"\n📈 Execution Statistics:")
+                print(f"  Total executions: {summary['total_executions']}")
+                print(f"  Successful: {summary['successful']}")
+                print(f"  Failed: {summary['failed']}")
+                print(f"  Timed out: {summary['timed_out']}")
+                print(f"  Success rate: {summary['success_rate']:.1f}%")
+            
+            if hooks_info.get('execution_log'):
+                print(f"\n📝 Execution Log:")
+                for log_entry in hooks_info['execution_log']:
+                    status_icon = "✅" if log_entry['status'] == 'success' else "❌"
+                    exec_time = log_entry.get('execution_time', 0)
+                    print(f"  {status_icon} {log_entry['hook_point']}: {exec_time:.3f}s")
+        
+        # Check crawl results
+        if 'results' in data and len(data['results']) > 0:
+            print(f"\n📄 Crawl Results:")
+            for result in data['results']:
+                print(f"  URL: {result['url']}")
+                print(f"  Success: {result.get('success', False)}")
+                if result.get('html'):
+                    print(f"  HTML length: {len(result['html'])} characters")
+    
+    else:
+        print(f"❌ Error: {response.status_code}")
+        try:
+            error_data = response.json()
+            print(f"Error details: {json.dumps(error_data, indent=2)}")
+        except:
+            print(f"Error text: {response.text[:500]}")
+
+
+def test_authentication_flow():
+    """Test a complete authentication flow with multiple hooks"""
+    print("\n" + "=" * 70)
+    print("Testing: Authentication Flow with Multiple Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Setting up authentication context")
+    
+    # Add authentication cookies
+    await context.add_cookies([
+        {
+            "name": "auth_token",
+            "value": "fake_jwt_token_here",
+            "domain": ".httpbin.org",
+            "path": "/",
+            "httpOnly": True,
+            "secure": True
+        }
+    ])
+    
+    # Set localStorage items (for SPA authentication)
+    await page.evaluate('''
+        localStorage.setItem('user_id', '12345');
+        localStorage.setItem('auth_time', new Date().toISOString());
+    ''')
+    
+    return page
+""",
+        
+        "before_goto": """
+async def hook(page, context, url, **kwargs):
+    print(f"[HOOK] Adding auth headers for {url}")
+    
+    # Add Authorization header
+    import base64
+    credentials = base64.b64encode(b"user:passwd").decode('ascii')
+    
+    await page.set_extra_http_headers({
+        'Authorization': f'Basic {credentials}',
+        'X-API-Key': 'test-api-key-123'
+    })
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": [
+            "https://httpbin.org/basic-auth/user/passwd"
+        ],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 15
+        }
+    }
+    
+    print("\nTesting authentication with httpbin endpoints...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Authentication test completed")
+        
+        if 'results' in data:
+            for i, result in enumerate(data['results']):
+                print(f"\n  URL {i+1}: {result['url']}")
+                if result.get('success'):
+                    # Check for authentication success indicators
+                    html_content = result.get('html', '')
+                    if '"authenticated"' in html_content and 'true' in html_content:
+                        print("    ✅ Authentication successful! Basic auth worked.")
+                    else:
+                        print("    ⚠️ Page loaded but auth status unclear")
+                else:
+                    print(f"    ❌ Failed: {result.get('error_message', 'Unknown error')}")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def test_performance_optimization_hooks():
+    """Test hooks for performance optimization"""
+    print("\n" + "=" * 70)
+    print("Testing: Performance Optimization Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "on_page_context_created": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Optimizing page for performance")
+    
+    # Block resource-heavy content
+    await context.route("**/*.{png,jpg,jpeg,gif,webp,svg,ico}", lambda route: route.abort())
+    await context.route("**/*.{woff,woff2,ttf,otf}", lambda route: route.abort())
+    await context.route("**/*.{mp4,webm,ogg,mp3,wav}", lambda route: route.abort())
+    await context.route("**/googletagmanager.com/*", lambda route: route.abort())
+    await context.route("**/google-analytics.com/*", lambda route: route.abort())
+    await context.route("**/doubleclick.net/*", lambda route: route.abort())
+    await context.route("**/facebook.com/*", lambda route: route.abort())
+    
+    # Disable animations and transitions
+    await page.add_style_tag(content='''
+        *, *::before, *::after {
+            animation-duration: 0s !important;
+            animation-delay: 0s !important;
+            transition-duration: 0s !important;
+            transition-delay: 0s !important;
+        }
+    ''')
+    
+    print("[HOOK] Performance optimizations applied")
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Removing unnecessary elements before extraction")
+    
+    # Remove ads, popups, and other unnecessary elements
+    await page.evaluate('''() => {
+        // Remove common ad containers
+        const adSelectors = [
+            '.ad', '.ads', '.advertisement', '[id*="ad-"]', '[class*="ad-"]',
+            '.popup', '.modal', '.overlay', '.cookie-banner', '.newsletter-signup'
+        ];
+        
+        adSelectors.forEach(selector => {
+            document.querySelectorAll(selector).forEach(el => el.remove());
+        });
+        
+        // Remove script tags to clean up HTML
+        document.querySelectorAll('script').forEach(el => el.remove());
+        
+        // Remove style tags we don't need
+        document.querySelectorAll('style').forEach(el => el.remove());
+    }''')
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 10
+        }
+    }
+    
+    print("\nTesting performance optimization hooks...")
+    start_time = time.time()
+    
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    elapsed_time = time.time() - start_time
+    print(f"Request completed in {elapsed_time:.2f} seconds")
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Performance optimization test completed")
+        
+        if 'results' in data and len(data['results']) > 0:
+            result = data['results'][0]
+            if result.get('html'):
+                print(f"  HTML size: {len(result['html'])} characters")
+                print("  Resources blocked, ads removed, animations disabled")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def test_content_extraction_hooks():
+    """Test hooks for intelligent content extraction"""
+    print("\n" + "=" * 70)
+    print("Testing: Content Extraction Hooks")
+    print("=" * 70)
+    
+    hooks_code = {
+        "after_goto": """
+async def hook(page, context, url, response, **kwargs):
+    print(f"[HOOK] Waiting for dynamic content on {url}")
+    
+    # Wait for any lazy-loaded content
+    await page.wait_for_timeout(2000)
+    
+    # Trigger any "Load More" buttons
+    try:
+        load_more = await page.query_selector('[class*="load-more"], [class*="show-more"], button:has-text("Load More")')
+        if load_more:
+            await load_more.click()
+            await page.wait_for_timeout(1000)
+            print("[HOOK] Clicked 'Load More' button")
+    except:
+        pass
+    
+    return page
+""",
+        
+        "before_retrieve_html": """
+async def hook(page, context, **kwargs):
+    print("[HOOK] Extracting structured data")
+    
+    # Extract metadata
+    metadata = await page.evaluate('''() => {
+        const getMeta = (name) => {
+            const element = document.querySelector(`meta[name="${name}"], meta[property="${name}"]`);
+            return element ? element.getAttribute('content') : null;
+        };
+        
+        return {
+            title: document.title,
+            description: getMeta('description') || getMeta('og:description'),
+            author: getMeta('author'),
+            keywords: getMeta('keywords'),
+            ogTitle: getMeta('og:title'),
+            ogImage: getMeta('og:image'),
+            canonical: document.querySelector('link[rel="canonical"]')?.href,
+            jsonLd: Array.from(document.querySelectorAll('script[type="application/ld+json"]'))
+                .map(el => el.textContent).filter(Boolean)
+        };
+    }''')
+    
+    print(f"[HOOK] Extracted metadata: {json.dumps(metadata, indent=2)}")
+    
+    # Infinite scroll handling
+    for i in range(3):
+        await page.evaluate("window.scrollTo(0, document.body.scrollHeight);")
+        await page.wait_for_timeout(1000)
+        print(f"[HOOK] Scroll iteration {i+1}/3")
+    
+    return page
+"""
+    }
+    
+    payload = {
+        "urls": ["https://httpbin.org/html", "https://httpbin.org/json"],
+        "hooks": {
+            "code": hooks_code,
+            "timeout": 20
+        }
+    }
+    
+    print("\nTesting content extraction hooks...")
+    response = requests.post(f"{API_BASE_URL}/crawl", json=payload)
+    
+    if response.status_code == 200:
+        data = response.json()
+        print("✅ Content extraction test completed")
+        
+        if 'hooks' in data and 'summary' in data['hooks']:
+            summary = data['hooks']['summary']
+            print(f"  Hooks executed: {summary['successful']}/{summary['total_executions']}")
+        
+        if 'results' in data:
+            for result in data['results']:
+                print(f"\n  URL: {result['url']}")
+                print(f"  Success: {result.get('success', False)}")
+    else:
+        print(f"❌ Error: {response.status_code}")
+
+
+def main():
+    """Run comprehensive hook tests"""
+    print("🔧 Crawl4AI Docker API - Comprehensive Hooks Testing")
+    print("Based on docs/examples/hooks_example.py")
+    print("=" * 70)
+    
+    tests = [
+        ("All Hooks Demo", test_all_hooks_demo),
+        ("Authentication Flow", test_authentication_flow),
+        ("Performance Optimization", test_performance_optimization_hooks),
+        ("Content Extraction", test_content_extraction_hooks),
+    ]
+    
+    for i, (name, test_func) in enumerate(tests, 1):
+        print(f"\n📌 Test {i}/{len(tests)}: {name}")
+        try:
+            test_func()
+            print(f"✅ {name} completed")
+        except Exception as e:
+            print(f"❌ {name} failed: {e}")
+            import traceback
+            traceback.print_exc()
+    
+    print("\n" + "=" * 70)
+    print("🎉 All comprehensive hook tests completed!")
+    print("=" * 70)
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/tests/docker/test_hooks_utility.py b/tests/docker/test_hooks_utility.py
new file mode 100644
index 00000000..7c820e56
--- /dev/null
+++ b/tests/docker/test_hooks_utility.py
@@ -0,0 +1,193 @@
+"""
+Test script demonstrating the hooks_to_string utility and Docker client integration.
+"""
+import asyncio
+from crawl4ai import Crawl4aiDockerClient, hooks_to_string
+
+
+# Define hook functions as regular Python functions
+async def auth_hook(page, context, **kwargs):
+    """Add authentication cookies."""
+    await context.add_cookies([{
+        'name': 'test_cookie',
+        'value': 'test_value',
+        'domain': '.httpbin.org',
+        'path': '/'
+    }])
+    return page
+
+
+async def scroll_hook(page, context, **kwargs):
+    """Scroll to load lazy content."""
+    await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+    await page.wait_for_timeout(1000)
+    return page
+
+
+async def viewport_hook(page, context, **kwargs):
+    """Set custom viewport."""
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+
+
+async def test_hooks_utility():
+    """Test the hooks_to_string utility function."""
+    print("=" * 60)
+    print("Testing hooks_to_string utility")
+    print("=" * 60)
+
+    # Create hooks dictionary with function objects
+    hooks_dict = {
+        "on_page_context_created": auth_hook,
+        "before_retrieve_html": scroll_hook
+    }
+
+    # Convert to string format
+    hooks_string = hooks_to_string(hooks_dict)
+
+    print("\n✓ Successfully converted function objects to strings")
+    print(f"\n✓ Converted {len(hooks_string)} hooks:")
+    for hook_name in hooks_string.keys():
+        print(f"  - {hook_name}")
+
+    print("\n✓ Preview of converted hook:")
+    print("-" * 60)
+    print(hooks_string["on_page_context_created"][:200] + "...")
+    print("-" * 60)
+
+    return hooks_string
+
+
+async def test_docker_client_with_functions():
+    """Test Docker client with function objects (automatic conversion)."""
+    print("\n" + "=" * 60)
+    print("Testing Docker Client with Function Objects")
+    print("=" * 60)
+
+    # Note: This requires a running Crawl4AI Docker server
+    # Uncomment the following to test with actual server:
+
+    async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
+        # Pass function objects directly - they'll be converted automatically
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            hooks={
+                "on_page_context_created": auth_hook,
+                "before_retrieve_html": scroll_hook
+            },
+            hooks_timeout=30
+        )
+        print(f"\n✓ Crawl successful: {result.success}")
+        print(f"✓ URL: {result.url}")
+
+    print("\n✓ Docker client accepts function objects directly")
+    print("✓ Automatic conversion happens internally")
+    print("✓ No manual string formatting needed!")
+
+
+async def test_docker_client_with_strings():
+    """Test Docker client with pre-converted strings."""
+    print("\n" + "=" * 60)
+    print("Testing Docker Client with String Hooks")
+    print("=" * 60)
+
+    # Convert hooks to strings first
+    hooks_dict = {
+        "on_page_context_created": viewport_hook,
+        "before_retrieve_html": scroll_hook
+    }
+    hooks_string = hooks_to_string(hooks_dict)
+
+    # Note: This requires a running Crawl4AI Docker server
+    # Uncomment the following to test with actual server:
+
+    async with Crawl4aiDockerClient(base_url="http://localhost:11234", verbose=True) as client:
+        # Pass string hooks - they'll be used as-is
+        result = await client.crawl(
+            ["https://httpbin.org/html"],
+            hooks=hooks_string,
+            hooks_timeout=30
+        )
+        print(f"\n✓ Crawl successful: {result.success}")
+
+    print("\n✓ Docker client also accepts pre-converted strings")
+    print("✓ Backward compatible with existing code")
+
+
+async def show_usage_patterns():
+    """Show different usage patterns."""
+    print("\n" + "=" * 60)
+    print("Usage Patterns")
+    print("=" * 60)
+
+    print("\n1. Direct function usage (simplest):")
+    print("-" * 60)
+    print("""
+    async def my_hook(page, context, **kwargs):
+        await page.set_viewport_size({"width": 1920, "height": 1080})
+        return page
+
+    result = await client.crawl(
+        ["https://example.com"],
+        hooks={"on_page_context_created": my_hook}
+    )
+    """)
+
+    print("\n2. Convert then use:")
+    print("-" * 60)
+    print("""
+    hooks_dict = {"on_page_context_created": my_hook}
+    hooks_string = hooks_to_string(hooks_dict)
+
+    result = await client.crawl(
+        ["https://example.com"],
+        hooks=hooks_string
+    )
+    """)
+
+    print("\n3. Manual string (backward compatible):")
+    print("-" * 60)
+    print("""
+    hooks_string = {
+        "on_page_context_created": '''
+async def hook(page, context, **kwargs):
+    await page.set_viewport_size({"width": 1920, "height": 1080})
+    return page
+'''
+    }
+
+    result = await client.crawl(
+        ["https://example.com"],
+        hooks=hooks_string
+    )
+    """)
+
+
+async def main():
+    """Run all tests."""
+    print("\n🚀 Crawl4AI Hooks Utility Test Suite\n")
+
+    # Test the utility function
+    # await test_hooks_utility()
+
+    # Show usage with Docker client
+    # await test_docker_client_with_functions()
+    await test_docker_client_with_strings()
+
+    # Show different patterns
+    # await show_usage_patterns()
+
+    # print("\n" + "=" * 60)
+    # print("✓ All tests completed successfully!")
+    # print("=" * 60)
+    # print("\nKey Benefits:")
+    # print("  • Write hooks as regular Python functions")
+    # print("  • IDE support with autocomplete and type checking")
+    # print("  • Automatic conversion to API format")
+    # print("  • Backward compatible with string hooks")
+    # print("  • Same utility used everywhere")
+    # print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/tests/docker/test_llm_params.py b/tests/docker/test_llm_params.py
new file mode 100755
index 00000000..533c4482
--- /dev/null
+++ b/tests/docker/test_llm_params.py
@@ -0,0 +1,349 @@
+#!/usr/bin/env python3
+"""
+Test script for LLM temperature and base_url parameters in Crawl4AI Docker API.
+This demonstrates the new hierarchical configuration system:
+1. Request-level parameters (highest priority)
+2. Provider-specific environment variables
+3. Global environment variables
+4. System defaults (lowest priority)
+"""
+
+import asyncio
+import httpx
+import json
+import os
+from rich.console import Console
+from rich.panel import Panel
+from rich.syntax import Syntax
+from rich.table import Table
+
+
+console = Console()
+
+# Configuration
+BASE_URL = "http://localhost:11235"  # Docker API endpoint
+TEST_URL = "https://httpbin.org/html"     # Simple test page
+
+# --- Helper Functions ---
+
+async def check_server_health(client: httpx.AsyncClient) -> bool:
+    """Check if the server is healthy."""
+    console.print("[bold cyan]Checking server health...[/]", end="")
+    try:
+        response = await client.get("/health", timeout=10.0)
+        response.raise_for_status()
+        console.print(" [bold green]✓ Server is healthy![/]")
+        return True
+    except Exception as e:
+        console.print(f"\n[bold red]✗ Server health check failed: {e}[/]")
+        console.print(f"Is the server running at {BASE_URL}?")
+        return False
+
+def print_request(endpoint: str, payload: dict, title: str = "Request"):
+    """Pretty print the request."""
+    syntax = Syntax(json.dumps(payload, indent=2), "json", theme="monokai")
+    console.print(Panel.fit(
+        f"[cyan]POST {endpoint}[/cyan]\n{syntax}",
+        title=f"[bold blue]{title}[/]",
+        border_style="blue"
+    ))
+
+def print_response(response: dict, title: str = "Response"):
+    """Pretty print relevant parts of the response."""
+    # Extract only the relevant parts
+    relevant = {}
+    if "markdown" in response:
+        relevant["markdown"] = response["markdown"][:200] + "..." if len(response.get("markdown", "")) > 200 else response.get("markdown", "")
+    if "success" in response:
+        relevant["success"] = response["success"]
+    if "url" in response:
+        relevant["url"] = response["url"]
+    if "filter" in response:
+        relevant["filter"] = response["filter"]
+    
+    console.print(Panel.fit(
+        Syntax(json.dumps(relevant, indent=2), "json", theme="monokai"),
+        title=f"[bold green]{title}[/]",
+        border_style="green"
+    ))
+
+# --- Test Functions ---
+
+async def test_default_no_params(client: httpx.AsyncClient):
+    """Test 1: No temperature or base_url specified - uses defaults"""
+    console.rule("[bold yellow]Test 1: Default Configuration (No Parameters)[/]")
+    
+    payload = {
+        "url": TEST_URL,
+        "f": "llm",
+        "q": "What is the main heading of this page? Answer in exactly 5 words."
+    }
+    
+    print_request("/md", payload, "Request without temperature/base_url")
+    
+    try:
+        response = await client.post("/md", json=payload, timeout=30.0)
+        response.raise_for_status()
+        data = response.json()
+        print_response(data, "Response (using system defaults)")
+        console.print("[dim]→ This used system defaults or environment variables if set[/]")
+    except Exception as e:
+        console.print(f"[red]Error: {e}[/]")
+
+async def test_request_temperature(client: httpx.AsyncClient):
+    """Test 2: Request-level temperature (highest priority)"""
+    console.rule("[bold yellow]Test 2: Request-Level Temperature[/]")
+    
+    # Test with low temperature (more focused)
+    payload_low = {
+        "url": TEST_URL,
+        "f": "llm",
+        "q": "What is the main heading? Be creative and poetic.",
+        "temperature": 0.1  # Very low - should be less creative
+    }
+    
+    print_request("/md", payload_low, "Low Temperature (0.1)")
+    
+    try:
+        response = await client.post("/md", json=payload_low, timeout=30.0)
+        response.raise_for_status()
+        data_low = response.json()
+        print_response(data_low, "Response with Low Temperature")
+        console.print("[dim]→ Low temperature (0.1) should produce focused, less creative output[/]")
+    except Exception as e:
+        console.print(f"[red]Error: {e}[/]")
+    
+    console.print()
+    
+    # Test with high temperature (more creative)
+    payload_high = {
+        "url": TEST_URL,
+        "f": "llm",
+        "q": "What is the main heading? Be creative and poetic.",
+        "temperature": 1.5  # High - should be more creative
+    }
+    
+    print_request("/md", payload_high, "High Temperature (1.5)")
+    
+    try:
+        response = await client.post("/md", json=payload_high, timeout=30.0)
+        response.raise_for_status()
+        data_high = response.json()
+        print_response(data_high, "Response with High Temperature")
+        console.print("[dim]→ High temperature (1.5) should produce more creative, varied output[/]")
+    except Exception as e:
+        console.print(f"[red]Error: {e}[/]")
+
+async def test_provider_override(client: httpx.AsyncClient):
+    """Test 3: Provider override with temperature"""
+    console.rule("[bold yellow]Test 3: Provider Override with Temperature[/]")
+    
+    provider = "gemini/gemini-2.5-flash-lite"
+    payload = {
+        "url": TEST_URL,
+        "f": "llm",
+        "q": "Summarize this page in one sentence.",
+        "provider": provider,  # Explicitly set provider
+        "temperature": 0.7
+    }
+    
+    print_request("/md", payload, "Provider + Temperature Override")
+    
+    try:
+        response = await client.post("/md", json=payload, timeout=30.0)
+        response.raise_for_status()
+        data = response.json()
+        print_response(data, "Response with Provider Override")
+        console.print(f"[dim]→ This explicitly uses {provider} with temperature 0.7[/]")
+    except Exception as e:
+        console.print(f"[red]Error: {e}[/]")
+
+async def test_base_url_custom(client: httpx.AsyncClient):
+    """Test 4: Custom base_url (will fail unless you have a custom endpoint)"""
+    console.rule("[bold yellow]Test 4: Custom Base URL (Demo Only)[/]")
+    
+    payload = {
+        "url": TEST_URL,
+        "f": "llm",
+        "q": "What is this page about?",
+        "base_url": "https://api.custom-endpoint.com/v1",  # Custom endpoint
+        "temperature": 0.5
+    }
+    
+    print_request("/md", payload, "Custom Base URL Request")
+    console.print("[yellow]Note: This will fail unless you have a custom endpoint set up[/]")
+    
+    try:
+        response = await client.post("/md", json=payload, timeout=10.0)
+        response.raise_for_status()
+        data = response.json()
+        print_response(data, "Response from Custom Endpoint")
+    except httpx.HTTPStatusError as e:
+        console.print(f"[yellow]Expected failure (no custom endpoint): Status {e.response.status_code}[/]")
+    except Exception as e:
+        console.print(f"[yellow]Expected error: {e}[/]")
+
+async def test_llm_job_endpoint(client: httpx.AsyncClient):
+    """Test 5: Test the /llm/job endpoint with temperature and base_url"""
+    console.rule("[bold yellow]Test 5: LLM Job Endpoint with Parameters[/]")
+    
+    payload = {
+        "url": TEST_URL,
+        "q": "Extract the main title and any key information",
+        "temperature": 0.3,
+        # "base_url": "https://api.openai.com/v1"  # Optional
+    }
+    
+    print_request("/llm/job", payload, "LLM Job with Temperature")
+    
+    try:
+        # Submit the job
+        response = await client.post("/llm/job", json=payload, timeout=30.0)
+        response.raise_for_status()
+        job_data = response.json()
+        
+        if "task_id" in job_data:
+            task_id = job_data["task_id"]
+            console.print(f"[green]Job created with task_id: {task_id}[/]")
+            
+            # Poll for result (simplified - in production use proper polling)
+            await asyncio.sleep(3)
+            
+            status_response = await client.get(f"/llm/job/{task_id}")
+            status_data = status_response.json()
+            
+            if status_data.get("status") == "completed":
+                console.print("[green]Job completed successfully![/]")
+                if "result" in status_data:
+                    console.print(Panel.fit(
+                        Syntax(json.dumps(status_data["result"], indent=2), "json", theme="monokai"),
+                        title="Extraction Result",
+                        border_style="green"
+                    ))
+            else:
+                console.print(f"[yellow]Job status: {status_data.get('status', 'unknown')}[/]")
+        else:
+            console.print(f"[red]Unexpected response: {job_data}[/]")
+            
+    except Exception as e:
+        console.print(f"[red]Error: {e}[/]")
+
+
+async def test_llm_endpoint(client: httpx.AsyncClient):
+    """
+    Quick QA round-trip with /llm.
+    Asks a trivial question against SIMPLE_URL just to show wiring.
+    """
+    import time
+    import urllib.parse
+
+    page_url = "https://kidocode.com"
+    question = "What is the title of this page?"
+
+    enc = urllib.parse.quote_plus(page_url, safe="")
+    console.print(f"GET /llm/{enc}?q={question}")
+
+    try:
+        t0 = time.time()
+        resp = await client.get(f"/llm/{enc}", params={"q": question})
+        dt = time.time() - t0
+        console.print(
+            f"Response Status: [bold {'green' if resp.is_success else 'red'}]{resp.status_code}[/] (took {dt:.2f}s)")
+        resp.raise_for_status()
+        answer = resp.json().get("answer", "")
+        console.print(Panel(answer or "No answer returned",
+                      title="LLM answer", border_style="magenta", expand=False))
+    except Exception as e:
+        console.print(f"[bold red]Error hitting /llm:[/] {e}")
+
+
+async def show_environment_info():
+    """Display current environment configuration"""
+    console.rule("[bold cyan]Current Environment Configuration[/]")
+    
+    table = Table(title="LLM Environment Variables", show_header=True, header_style="bold magenta")
+    table.add_column("Variable", style="cyan", width=30)
+    table.add_column("Value", style="yellow")
+    table.add_column("Description", style="dim")
+    
+    env_vars = [
+        ("LLM_PROVIDER", "Global default provider"),
+        ("LLM_TEMPERATURE", "Global default temperature"),
+        ("LLM_BASE_URL", "Global custom API endpoint"),
+        ("OPENAI_API_KEY", "OpenAI API key"),
+        ("OPENAI_TEMPERATURE", "OpenAI-specific temperature"),
+        ("OPENAI_BASE_URL", "OpenAI-specific endpoint"),
+        ("ANTHROPIC_API_KEY", "Anthropic API key"),
+        ("ANTHROPIC_TEMPERATURE", "Anthropic-specific temperature"),
+        ("GROQ_API_KEY", "Groq API key"),
+        ("GROQ_TEMPERATURE", "Groq-specific temperature"),
+    ]
+    
+    for var, desc in env_vars:
+        value = os.environ.get(var, "[not set]")
+        if "API_KEY" in var and value != "[not set]":
+            # Mask API keys for security
+            value = value[:10] + "..." if len(value) > 10 else "***"
+        table.add_row(var, value, desc)
+    
+    console.print(table)
+    console.print()
+
+# --- Main Test Runner ---
+
+async def main():
+    """Run all tests"""
+    console.print(Panel.fit(
+        "[bold cyan]Crawl4AI LLM Parameters Test Suite[/]\n" +
+        "Testing temperature and base_url configuration hierarchy",
+        border_style="cyan"
+    ))
+    
+    # Show current environment
+    # await show_environment_info()
+    
+    # Create HTTP client
+    async with httpx.AsyncClient(base_url=BASE_URL, timeout=60.0) as client:
+        # Check server health
+        if not await check_server_health(client):
+            console.print("[red]Server is not available. Please ensure the Docker container is running.[/]")
+            return
+        
+        # Run tests
+        tests = [
+            ("Default Configuration", test_default_no_params),
+            ("Request Temperature", test_request_temperature),
+            ("Provider Override", test_provider_override),
+            ("Custom Base URL", test_base_url_custom),
+            ("LLM Job Endpoint", test_llm_job_endpoint),
+            ("LLM Endpoint", test_llm_endpoint),
+        ]
+        
+        for i, (name, test_func) in enumerate(tests, 1):
+            if i > 1:
+                console.print()  # Add spacing between tests
+            
+            try:
+                await test_func(client)
+            except Exception as e:
+                console.print(f"[red]Test '{name}' failed with error: {e}[/]")
+                console.print_exception(show_locals=False)
+        
+        console.rule("[bold green]All Tests Complete![/]", style="green")
+        
+        # Summary
+        console.print("\n[bold cyan]Configuration Hierarchy Summary:[/]")
+        console.print("1. [yellow]Request parameters[/] - Highest priority (temperature, base_url in API call)")
+        console.print("2. [yellow]Provider-specific env[/] - e.g., OPENAI_TEMPERATURE, GROQ_BASE_URL")
+        console.print("3. [yellow]Global env variables[/] - LLM_TEMPERATURE, LLM_BASE_URL")
+        console.print("4. [yellow]System defaults[/] - Lowest priority (provider/litellm defaults)")
+        console.print()
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        console.print("\n[yellow]Tests interrupted by user.[/]")
+    except Exception as e:
+        console.print(f"\n[bold red]An error occurred:[/]")
+        console.print_exception(show_locals=False)
\ No newline at end of file
diff --git a/tests/docker/test_server_requests.py b/tests/docker/test_server_requests.py
index 56d2ada4..ae838c05 100644
--- a/tests/docker/test_server_requests.py
+++ b/tests/docker/test_server_requests.py
@@ -143,7 +143,40 @@ class TestCrawlEndpoints:
         assert "<h1>Herman Melville - Moby-Dick</h1>" in result["html"]
         # We don't specify a markdown generator in this test, so don't make assumptions about markdown field
         # It might be null, missing, or populated depending on the server's default behavior
+    async def test_crawl_with_stream_direct(self, async_client: httpx.AsyncClient):
+        """Test that /crawl endpoint handles stream=True directly without redirect."""
+        payload = {
+            "urls": [SIMPLE_HTML_URL],
+            "browser_config": {
+                "type": "BrowserConfig",
+                "params": {
+                    "headless": True,
+                }
+            },
+            "crawler_config": {
+                "type": "CrawlerRunConfig", 
+                "params": {
+                    "stream": True,  # Set stream to True for direct streaming
+                    "screenshot": False,
+                    "cache_mode": CacheMode.BYPASS.value
+                }
+            }
+        }
 
+        # Send a request to the /crawl endpoint - should handle streaming directly
+        async with async_client.stream("POST", "/crawl", json=payload) as response:
+            assert response.status_code == 200
+            assert response.headers["content-type"] == "application/x-ndjson"
+            assert response.headers.get("x-stream-status") == "active"
+
+            results = await process_streaming_response(response)
+
+            assert len(results) == 1
+            result = results[0]
+            await assert_crawl_result_structure(result)
+            assert result["success"] is True
+            assert result["url"] == SIMPLE_HTML_URL
+            assert "<h1>Herman Melville - Moby-Dick</h1>" in result["html"]
     async def test_simple_crawl_single_url_streaming(self, async_client: httpx.AsyncClient):
         """Test /crawl/stream with a single URL and simple config values."""
         payload = {
@@ -635,7 +668,209 @@ class TestCrawlEndpoints:
             pytest.fail(f"LLM extracted content parsing or validation failed: {e}\nContent: {result['extracted_content']}")
         except Exception as e: # Catch any other unexpected error
             pytest.fail(f"An unexpected error occurred during LLM result processing: {e}\nContent: {result['extracted_content']}")
-            
+
+
+    # 7. Error Handling Tests
+    async def test_invalid_url_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for invalid URLs."""
+        payload = {
+            "urls": ["invalid-url", "https://nonexistent-domain-12345.com"],
+            "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
+            "crawler_config": {"type": "CrawlerRunConfig", "params": {"cache_mode": CacheMode.BYPASS.value}}
+        }
+        
+        response = await async_client.post("/crawl", json=payload)
+        # Should return 200 with failed results, not 500
+        print(f"Status code: {response.status_code}")
+        print(f"Response: {response.text}")
+        assert response.status_code == 500
+        data = response.json()
+        assert data["detail"].startswith("Crawl request failed:")
+
+    async def test_mixed_success_failure_urls(self, async_client: httpx.AsyncClient):
+        """Test handling of mixed success/failure URLs."""
+        payload = {
+            "urls": [
+                SIMPLE_HTML_URL,  # Should succeed
+                "https://nonexistent-domain-12345.com",  # Should fail
+                "https://invalid-url-with-special-chars-!@#$%^&*()",  # Should fail
+            ],
+            "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
+            "crawler_config": {
+                "type": "CrawlerRunConfig", 
+                "params": {
+                    "cache_mode": CacheMode.BYPASS.value,
+                    "markdown_generator": {
+                        "type": "DefaultMarkdownGenerator",
+                        "params": {
+                            "content_filter": {
+                                "type": "PruningContentFilter",
+                                "params": {"threshold": 0.5}
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        
+        response = await async_client.post("/crawl", json=payload)
+        assert response.status_code == 200
+        data = response.json()
+        assert data["success"] is True
+        assert len(data["results"]) == 3
+        
+        success_count = 0
+        failure_count = 0
+        
+        for result in data["results"]:
+            if result["success"]:
+                success_count += 1
+            else:
+                failure_count += 1
+                assert "error_message" in result
+                assert len(result["error_message"]) > 0
+                
+        assert success_count >= 1  # At least one should succeed
+        assert failure_count >= 1  # At least one should fail
+
+    async def test_streaming_mixed_urls(self, async_client: httpx.AsyncClient):
+        """Test streaming with mixed success/failure URLs."""
+        payload = {
+            "urls": [
+                SIMPLE_HTML_URL,  # Should succeed
+                "https://nonexistent-domain-12345.com",  # Should fail
+            ],
+            "browser_config": {"type": "BrowserConfig", "params": {"headless": True}},
+            "crawler_config": {
+                "type": "CrawlerRunConfig", 
+                "params": {
+                    "stream": True,
+                    "cache_mode": CacheMode.BYPASS.value
+                }
+            }
+        }
+        
+        async with async_client.stream("POST", "/crawl/stream", json=payload) as response:
+            response.raise_for_status()
+            results = await process_streaming_response(response)
+        
+        assert len(results) == 2
+        
+        success_count = 0
+        failure_count = 0
+        
+        for result in results:
+            if result["success"]:
+                success_count += 1
+                assert result["url"] == SIMPLE_HTML_URL
+            else:
+                failure_count += 1
+                assert "error_message" in result
+                assert result["error_message"] is not None
+        
+        assert success_count == 1
+        assert failure_count == 1
+
+    async def test_markdown_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for markdown endpoint."""
+        # Test invalid URL
+        invalid_payload = {"url": "invalid-url", "f": "fit"}
+        response = await async_client.post("/md", json=invalid_payload)
+        # Should return 400 for invalid URL format
+        assert response.status_code == 400
+        
+        # Test non-existent URL
+        nonexistent_payload = {"url": "https://nonexistent-domain-12345.com", "f": "fit"}
+        response = await async_client.post("/md", json=nonexistent_payload)
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_html_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for HTML endpoint."""
+        # Test invalid URL
+        invalid_payload = {"url": "invalid-url"}
+        response = await async_client.post("/html", json=invalid_payload)
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_screenshot_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for screenshot endpoint."""
+        # Test invalid URL
+        invalid_payload = {"url": "invalid-url"}
+        response = await async_client.post("/screenshot", json=invalid_payload)
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_pdf_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for PDF endpoint."""
+        # Test invalid URL
+        invalid_payload = {"url": "invalid-url"}
+        response = await async_client.post("/pdf", json=invalid_payload)
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_execute_js_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for execute_js endpoint."""
+        # Test invalid URL
+        invalid_payload = {"url": "invalid-url", "scripts": ["return document.title;"]}
+        response = await async_client.post("/execute_js", json=invalid_payload)
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_llm_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for LLM endpoint."""
+        # Test missing query parameter
+        response = await async_client.get("/llm/https://example.com")
+        assert response.status_code == 422  # FastAPI validation error, not 400
+        
+        # Test invalid URL
+        response = await async_client.get("/llm/invalid-url?q=test")
+        # Should return 500 for crawl failure
+        assert response.status_code == 500
+
+    async def test_ask_endpoint_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for ask endpoint."""
+        # Test invalid context_type
+        response = await async_client.get("/ask?context_type=invalid")
+        assert response.status_code == 422  # Validation error
+        
+        # Test invalid score_ratio
+        response = await async_client.get("/ask?score_ratio=2.0")  # > 1.0
+        assert response.status_code == 422  # Validation error
+        
+        # Test invalid max_results
+        response = await async_client.get("/ask?max_results=0")  # < 1
+        assert response.status_code == 422  # Validation error
+
+    async def test_config_dump_error_handling(self, async_client: httpx.AsyncClient):
+        """Test error handling for config dump endpoint."""
+        # Test invalid code
+        invalid_payload = {"code": "invalid_code"}
+        response = await async_client.post("/config/dump", json=invalid_payload)
+        assert response.status_code == 400
+        
+        # Test nested function calls (not allowed)
+        nested_payload = {"code": "CrawlerRunConfig(BrowserConfig())"}
+        response = await async_client.post("/config/dump", json=nested_payload)
+        assert response.status_code == 400
+
+    async def test_malformed_request_handling(self, async_client: httpx.AsyncClient):
+        """Test handling of malformed requests."""
+        # Test missing required fields
+        malformed_payload = {"urls": []}  # Missing browser_config and crawler_config
+        response = await async_client.post("/crawl", json=malformed_payload)
+        print(f"Response: {response.text}")
+        assert response.status_code == 422  # Validation error
+        
+        # Test empty URLs list
+        empty_urls_payload = {
+            "urls": [],
+            "browser_config": {"type": "BrowserConfig", "params": {}},
+            "crawler_config": {"type": "CrawlerRunConfig", "params": {}}
+        }
+        response = await async_client.post("/crawl", json=empty_urls_payload)
+        assert response.status_code == 422  # "At least one URL required"
+
 if __name__ == "__main__":
     # Define arguments for pytest programmatically
     # -v: verbose output
diff --git a/tests/general/test_bff_scoring.py b/tests/general/test_bff_scoring.py
new file mode 100644
index 00000000..d663d944
--- /dev/null
+++ b/tests/general/test_bff_scoring.py
@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+"""
+Simple test to verify BestFirstCrawlingStrategy fixes.
+This test crawls a real website and shows that:
+1. Higher-scoring pages are crawled first (priority queue fix)
+2. Links are scored before truncation (link discovery fix)
+"""
+
+import asyncio
+from crawl4ai import AsyncWebCrawler, BrowserConfig, CrawlerRunConfig
+from crawl4ai.deep_crawling import BestFirstCrawlingStrategy
+from crawl4ai.deep_crawling.scorers import KeywordRelevanceScorer
+
+async def test_best_first_strategy():
+    """Test BestFirstCrawlingStrategy with keyword scoring"""
+    
+    print("=" * 70)
+    print("Testing BestFirstCrawlingStrategy with Real URL")
+    print("=" * 70)
+    print("\nThis test will:")
+    print("1. Crawl Python.org documentation")
+    print("2. Score pages based on keywords: 'tutorial', 'guide', 'reference'")
+    print("3. Show that higher-scoring pages are crawled first")
+    print("-" * 70)
+    
+    # Create a keyword scorer that prioritizes tutorial/guide pages
+    scorer = KeywordRelevanceScorer(
+        keywords=["tutorial", "guide", "reference", "documentation"],
+        weight=1.0,
+        case_sensitive=False
+    )
+    
+    # Create the strategy with scoring
+    strategy = BestFirstCrawlingStrategy(
+        max_depth=2,          # Crawl 2 levels deep
+        max_pages=10,         # Limit to 10 pages total
+        url_scorer=scorer,    # Use keyword scoring
+        include_external=False  # Only internal links
+    )
+    
+    # Configure browser and crawler
+    browser_config = BrowserConfig(
+        headless=True,    # Run in background
+        verbose=False     # Reduce output noise
+    )
+    
+    crawler_config = CrawlerRunConfig(
+        deep_crawl_strategy=strategy,
+        verbose=False
+    )
+    
+    print("\nStarting crawl of https://docs.python.org/3/")
+    print("Looking for pages with keywords: tutorial, guide, reference, documentation")
+    print("-" * 70)
+    
+    crawled_urls = []
+    
+    async with AsyncWebCrawler(config=browser_config) as crawler:
+        # Crawl and collect results
+        results = await crawler.arun(
+            url="https://docs.python.org/3/",
+            config=crawler_config
+        )
+        
+        # Process results
+        if isinstance(results, list):
+            for result in results:
+                score = result.metadata.get('score', 0) if result.metadata else 0
+                depth = result.metadata.get('depth', 0) if result.metadata else 0
+                crawled_urls.append({
+                    'url': result.url,
+                    'score': score,
+                    'depth': depth,
+                    'success': result.success
+                })
+    
+    print("\n" + "=" * 70)
+    print("CRAWL RESULTS (in order of crawling)")
+    print("=" * 70)
+    
+    for i, item in enumerate(crawled_urls, 1):
+        status = "✓" if item['success'] else "✗"
+        # Highlight high-scoring pages
+        if item['score'] > 0.5:
+            print(f"{i:2}. [{status}] Score: {item['score']:.2f} | Depth: {item['depth']} | {item['url']}")
+            print(f"     ^ HIGH SCORE - Contains keywords!")
+        else:
+            print(f"{i:2}. [{status}] Score: {item['score']:.2f} | Depth: {item['depth']} | {item['url']}")
+    
+    print("\n" + "=" * 70)
+    print("ANALYSIS")
+    print("=" * 70)
+    
+    # Check if higher scores appear early in the crawl
+    scores = [item['score'] for item in crawled_urls[1:]]  # Skip initial URL
+    high_score_indices = [i for i, s in enumerate(scores) if s > 0.3]
+    
+    if high_score_indices and high_score_indices[0] < len(scores) / 2:
+        print("✅ SUCCESS: Higher-scoring pages (with keywords) were crawled early!")
+        print("   This confirms the priority queue fix is working.")
+    else:
+        print("⚠️  Check the crawl order above - higher scores should appear early")
+    
+    # Show score distribution
+    print(f"\nScore Statistics:")
+    print(f"  - Total pages crawled: {len(crawled_urls)}")
+    print(f"  - Average score: {sum(item['score'] for item in crawled_urls) / len(crawled_urls):.2f}")
+    print(f"  - Max score: {max(item['score'] for item in crawled_urls):.2f}")
+    print(f"  - Pages with keywords: {sum(1 for item in crawled_urls if item['score'] > 0.3)}")
+    
+    print("\n" + "=" * 70)
+    print("TEST COMPLETE")
+    print("=" * 70)
+
+if __name__ == "__main__":
+    print("\n🔍 BestFirstCrawlingStrategy Simple Test\n")
+    asyncio.run(test_best_first_strategy())
\ No newline at end of file
diff --git a/tests/memory/test_docker_config_gen.py b/tests/memory/test_docker_config_gen.py
index ae6e533c..41beb30a 100644
--- a/tests/memory/test_docker_config_gen.py
+++ b/tests/memory/test_docker_config_gen.py
@@ -24,7 +24,7 @@ CASES = [
     # --- BrowserConfig variants ---
     "BrowserConfig()",
     "BrowserConfig(headless=False, extra_args=['--disable-gpu'])",
-    "BrowserConfig(browser_mode='builtin', proxy='http://1.2.3.4:8080')",
+    "BrowserConfig(browser_mode='builtin', proxy_config={'server': 'http://1.2.3.4:8080'})",
 ]
 
 for code in CASES:
diff --git a/tests/proxy/test_proxy_deprecation.py b/tests/proxy/test_proxy_deprecation.py
new file mode 100644
index 00000000..95ccfc70
--- /dev/null
+++ b/tests/proxy/test_proxy_deprecation.py
@@ -0,0 +1,42 @@
+import warnings
+
+import pytest
+
+from crawl4ai.async_configs import BrowserConfig, ProxyConfig
+
+
+def test_browser_config_proxy_string_emits_deprecation_and_autoconverts():
+    warnings.simplefilter("always", DeprecationWarning)
+
+    proxy_str = "23.95.150.145:6114:username:password"
+    with warnings.catch_warnings(record=True) as caught:
+        cfg = BrowserConfig(proxy=proxy_str, headless=True)
+
+    dep_warnings = [w for w in caught if issubclass(w.category, DeprecationWarning)]
+    assert dep_warnings, "Expected DeprecationWarning when using BrowserConfig(proxy=...)"
+
+    assert cfg.proxy is None, "cfg.proxy should be None after auto-conversion"
+    assert isinstance(cfg.proxy_config, ProxyConfig), "cfg.proxy_config should be ProxyConfig instance"
+    assert cfg.proxy_config.username == "username"
+    assert cfg.proxy_config.password == "password"
+    assert cfg.proxy_config.server.startswith("http://")
+    assert cfg.proxy_config.server.endswith(":6114")
+
+
+def test_browser_config_with_proxy_config_emits_no_deprecation():
+    warnings.simplefilter("always", DeprecationWarning)
+
+    with warnings.catch_warnings(record=True) as caught:
+        cfg = BrowserConfig(
+            headless=True,
+            proxy_config={
+                "server": "http://127.0.0.1:8080",
+                "username": "u",
+                "password": "p",
+            },
+        )
+
+    dep_warnings = [w for w in caught if issubclass(w.category, DeprecationWarning)]
+    assert not dep_warnings, "Did not expect DeprecationWarning when using proxy_config"
+    assert cfg.proxy is None
+    assert isinstance(cfg.proxy_config, ProxyConfig)
diff --git a/tests/test_preserve_https_for_internal_links.py b/tests/test_preserve_https_for_internal_links.py
new file mode 100644
index 00000000..8988f1c9
--- /dev/null
+++ b/tests/test_preserve_https_for_internal_links.py
@@ -0,0 +1,175 @@
+#!/usr/bin/env python3
+"""
+Final test and demo for HTTPS preservation feature (Issue #1410)
+
+This demonstrates how the preserve_https_for_internal_links flag
+prevents HTTPS downgrade when servers redirect to HTTP.
+"""
+
+import sys
+import os
+from urllib.parse import urljoin, urlparse
+
+def demonstrate_issue():
+    """Show the problem: HTTPS -> HTTP redirect causes HTTP links"""
+    
+    print("=" * 60)
+    print("DEMONSTRATING THE ISSUE")
+    print("=" * 60)
+    
+    # Simulate what happens during crawling
+    original_url = "https://quotes.toscrape.com/tag/deep-thoughts"
+    redirected_url = "http://quotes.toscrape.com/tag/deep-thoughts/"  # Server redirects to HTTP
+    
+    # Extract a relative link
+    relative_link = "/author/Albert-Einstein"
+    
+    # Standard URL joining uses the redirected (HTTP) base
+    resolved_url = urljoin(redirected_url, relative_link)
+    
+    print(f"Original URL:    {original_url}")
+    print(f"Redirected to:   {redirected_url}")
+    print(f"Relative link:   {relative_link}")
+    print(f"Resolved link:   {resolved_url}")
+    print(f"\n❌ Problem: Link is now HTTP instead of HTTPS!")
+    
+    return resolved_url
+
+def demonstrate_solution():
+    """Show the solution: preserve HTTPS for internal links"""
+    
+    print("\n" + "=" * 60)
+    print("DEMONSTRATING THE SOLUTION")
+    print("=" * 60)
+    
+    # Our normalize_url with HTTPS preservation
+    def normalize_url_with_preservation(href, base_url, preserve_https=False, original_scheme=None):
+        """Normalize URL with optional HTTPS preservation"""
+        
+        # Standard resolution
+        full_url = urljoin(base_url, href.strip())
+        
+        # Preserve HTTPS if requested
+        if preserve_https and original_scheme == 'https':
+            parsed_full = urlparse(full_url)
+            parsed_base = urlparse(base_url)
+            
+            # Only for same-domain links
+            if parsed_full.scheme == 'http' and parsed_full.netloc == parsed_base.netloc:
+                full_url = full_url.replace('http://', 'https://', 1)
+                print(f"  → Preserved HTTPS for {parsed_full.netloc}")
+        
+        return full_url
+    
+    # Same scenario as before
+    original_url = "https://quotes.toscrape.com/tag/deep-thoughts"
+    redirected_url = "http://quotes.toscrape.com/tag/deep-thoughts/"
+    relative_link = "/author/Albert-Einstein"
+    
+    # Without preservation (current behavior)
+    resolved_without = normalize_url_with_preservation(
+        relative_link, redirected_url,
+        preserve_https=False, original_scheme='https'
+    )
+    
+    print(f"\nWithout preservation:")
+    print(f"  Result: {resolved_without}")
+    
+    # With preservation (new feature)
+    resolved_with = normalize_url_with_preservation(
+        relative_link, redirected_url,
+        preserve_https=True, original_scheme='https'
+    )
+    
+    print(f"\nWith preservation (preserve_https_for_internal_links=True):")
+    print(f"  Result: {resolved_with}")
+    print(f"\n✅ Solution: Internal link stays HTTPS!")
+    
+    return resolved_with
+
+def test_edge_cases():
+    """Test important edge cases"""
+    
+    print("\n" + "=" * 60)
+    print("EDGE CASES")
+    print("=" * 60)
+    
+    from urllib.parse import urljoin, urlparse
+    
+    def preserve_https(href, base_url, original_scheme):
+        """Helper to test preservation logic"""
+        full_url = urljoin(base_url, href)
+        
+        if original_scheme == 'https':
+            parsed_full = urlparse(full_url)
+            parsed_base = urlparse(base_url)
+            # Fixed: check for protocol-relative URLs
+            if (parsed_full.scheme == 'http' and 
+                parsed_full.netloc == parsed_base.netloc and
+                not href.strip().startswith('//')):
+                full_url = full_url.replace('http://', 'https://', 1)
+        
+        return full_url
+    
+    test_cases = [
+        # (description, href, base_url, original_scheme, should_be_https)
+        ("External link", "http://other.com/page", "http://example.com", "https", False),
+        ("Already HTTPS", "/page", "https://example.com", "https", True),
+        ("No original HTTPS", "/page", "http://example.com", "http", False),
+        ("Subdomain", "/page", "http://sub.example.com", "https", True),
+        ("Protocol-relative", "//example.com/page", "http://example.com", "https", False),
+    ]
+    
+    for desc, href, base_url, orig_scheme, should_be_https in test_cases:
+        result = preserve_https(href, base_url, orig_scheme)
+        is_https = result.startswith('https://')
+        status = "✅" if is_https == should_be_https else "❌"
+        
+        print(f"\n{status} {desc}:")
+        print(f"  Input: {href} + {base_url}")
+        print(f"  Result: {result}")
+        print(f"  Expected HTTPS: {should_be_https}, Got: {is_https}")
+
+def usage_example():
+    """Show how to use the feature in crawl4ai"""
+    
+    print("\n" + "=" * 60)
+    print("USAGE IN CRAWL4AI")
+    print("=" * 60)
+    
+    print("""
+To enable HTTPS preservation in your crawl4ai code:
+
+```python
+from crawl4ai import AsyncWebCrawler, CrawlerRunConfig
+
+async with AsyncWebCrawler() as crawler:
+    config = CrawlerRunConfig(
+        preserve_https_for_internal_links=True  # Enable HTTPS preservation
+    )
+    
+    result = await crawler.arun(
+        url="https://example.com",
+        config=config
+    )
+    
+    # All internal links will maintain HTTPS even if 
+    # the server redirects to HTTP
+```
+
+This is especially useful for:
+- Sites that redirect HTTPS to HTTP but still support HTTPS
+- Security-conscious crawling where you want to stay on HTTPS
+- Avoiding mixed content issues in downstream processing
+""")
+
+if __name__ == "__main__":
+    # Run all demonstrations
+    demonstrate_issue()
+    demonstrate_solution() 
+    test_edge_cases()
+    usage_example()
+    
+    print("\n" + "=" * 60)
+    print("✅ All tests complete!")
+    print("=" * 60)
\ No newline at end of file
diff --git a/tests/test_webhook_feature.sh b/tests/test_webhook_feature.sh
new file mode 100755
index 00000000..20eab2a1
--- /dev/null
+++ b/tests/test_webhook_feature.sh
@@ -0,0 +1,305 @@
+#!/bin/bash
+
+#############################################################################
+# Webhook Feature Test Script
+#
+# This script tests the webhook feature implementation by:
+# 1. Switching to the webhook feature branch
+# 2. Installing dependencies
+# 3. Starting the server
+# 4. Running webhook tests
+# 5. Cleaning up and returning to original branch
+#
+# Usage: ./test_webhook_feature.sh
+#############################################################################
+
+set -e  # Exit on error
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+BLUE='\033[0;34m'
+NC='\033[0m' # No Color
+
+# Configuration
+BRANCH_NAME="claude/implement-webhook-crawl-feature-011CULZY1Jy8N5MUkZqXkRVp"
+VENV_PATH="venv"
+SERVER_PORT=11235
+WEBHOOK_PORT=8080
+PROJECT_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+
+# PID files for cleanup
+REDIS_PID=""
+SERVER_PID=""
+WEBHOOK_PID=""
+
+#############################################################################
+# Utility Functions
+#############################################################################
+
+log_info() {
+    echo -e "${BLUE}[INFO]${NC} $1"
+}
+
+log_success() {
+    echo -e "${GREEN}[SUCCESS]${NC} $1"
+}
+
+log_warning() {
+    echo -e "${YELLOW}[WARNING]${NC} $1"
+}
+
+log_error() {
+    echo -e "${RED}[ERROR]${NC} $1"
+}
+
+cleanup() {
+    log_info "Starting cleanup..."
+
+    # Kill webhook receiver if running
+    if [ ! -z "$WEBHOOK_PID" ] && kill -0 $WEBHOOK_PID 2>/dev/null; then
+        log_info "Stopping webhook receiver (PID: $WEBHOOK_PID)..."
+        kill $WEBHOOK_PID 2>/dev/null || true
+    fi
+
+    # Kill server if running
+    if [ ! -z "$SERVER_PID" ] && kill -0 $SERVER_PID 2>/dev/null; then
+        log_info "Stopping server (PID: $SERVER_PID)..."
+        kill $SERVER_PID 2>/dev/null || true
+    fi
+
+    # Kill Redis if running
+    if [ ! -z "$REDIS_PID" ] && kill -0 $REDIS_PID 2>/dev/null; then
+        log_info "Stopping Redis (PID: $REDIS_PID)..."
+        kill $REDIS_PID 2>/dev/null || true
+    fi
+
+    # Also kill by port if PIDs didn't work
+    lsof -ti:$SERVER_PORT | xargs kill -9 2>/dev/null || true
+    lsof -ti:$WEBHOOK_PORT | xargs kill -9 2>/dev/null || true
+    lsof -ti:6379 | xargs kill -9 2>/dev/null || true
+
+    # Return to original branch
+    if [ ! -z "$ORIGINAL_BRANCH" ]; then
+        log_info "Switching back to branch: $ORIGINAL_BRANCH"
+        git checkout $ORIGINAL_BRANCH 2>/dev/null || true
+    fi
+
+    log_success "Cleanup complete"
+}
+
+# Set trap to cleanup on exit
+trap cleanup EXIT INT TERM
+
+#############################################################################
+# Main Script
+#############################################################################
+
+log_info "Starting webhook feature test script"
+log_info "Project root: $PROJECT_ROOT"
+
+cd "$PROJECT_ROOT"
+
+# Step 1: Save current branch and fetch PR
+log_info "Step 1: Fetching PR branch..."
+ORIGINAL_BRANCH=$(git rev-parse --abbrev-ref HEAD)
+log_info "Current branch: $ORIGINAL_BRANCH"
+
+git fetch origin $BRANCH_NAME
+log_success "Branch fetched"
+
+# Step 2: Switch to new branch
+log_info "Step 2: Switching to branch: $BRANCH_NAME"
+git checkout $BRANCH_NAME
+log_success "Switched to webhook feature branch"
+
+# Step 3: Activate virtual environment
+log_info "Step 3: Activating virtual environment..."
+if [ ! -d "$VENV_PATH" ]; then
+    log_error "Virtual environment not found at $VENV_PATH"
+    log_info "Creating virtual environment..."
+    python3 -m venv $VENV_PATH
+fi
+
+source $VENV_PATH/bin/activate
+log_success "Virtual environment activated: $(which python)"
+
+# Step 4: Install server dependencies
+log_info "Step 4: Installing server dependencies..."
+pip install -q -r deploy/docker/requirements.txt
+log_success "Dependencies installed"
+
+# Check if Redis is available
+log_info "Checking Redis availability..."
+if ! command -v redis-server &> /dev/null; then
+    log_warning "Redis not found, attempting to install..."
+    if command -v apt-get &> /dev/null; then
+        sudo apt-get update && sudo apt-get install -y redis-server
+    elif command -v brew &> /dev/null; then
+        brew install redis
+    else
+        log_error "Cannot install Redis automatically. Please install Redis manually."
+        exit 1
+    fi
+fi
+
+# Step 5: Start Redis in background
+log_info "Step 5a: Starting Redis..."
+redis-server --port 6379 --daemonize yes
+sleep 2
+REDIS_PID=$(pgrep redis-server)
+log_success "Redis started (PID: $REDIS_PID)"
+
+# Step 5b: Start server in background
+log_info "Step 5b: Starting server on port $SERVER_PORT..."
+cd deploy/docker
+
+# Start server in background
+python3 -m uvicorn server:app --host 0.0.0.0 --port $SERVER_PORT > /tmp/crawl4ai_server.log 2>&1 &
+SERVER_PID=$!
+cd "$PROJECT_ROOT"
+
+log_info "Server started (PID: $SERVER_PID)"
+
+# Wait for server to be ready
+log_info "Waiting for server to be ready..."
+for i in {1..30}; do
+    if curl -s http://localhost:$SERVER_PORT/health > /dev/null 2>&1; then
+        log_success "Server is ready!"
+        break
+    fi
+    if [ $i -eq 30 ]; then
+        log_error "Server failed to start within 30 seconds"
+        log_info "Server logs:"
+        tail -50 /tmp/crawl4ai_server.log
+        exit 1
+    fi
+    echo -n "."
+    sleep 1
+done
+echo ""
+
+# Step 6: Create and run webhook test
+log_info "Step 6: Creating webhook test script..."
+
+cat > /tmp/test_webhook.py << 'PYTHON_SCRIPT'
+import requests
+import json
+import time
+from flask import Flask, request, jsonify
+from threading import Thread, Event
+
+# Configuration
+CRAWL4AI_BASE_URL = "http://localhost:11235"
+WEBHOOK_BASE_URL = "http://localhost:8080"
+
+# Flask app for webhook receiver
+app = Flask(__name__)
+webhook_received = Event()
+webhook_data = {}
+
+@app.route('/webhook', methods=['POST'])
+def handle_webhook():
+    global webhook_data
+    webhook_data = request.json
+    webhook_received.set()
+    print(f"\n✅ Webhook received: {json.dumps(webhook_data, indent=2)}")
+    return jsonify({"status": "received"}), 200
+
+def start_webhook_server():
+    app.run(host='0.0.0.0', port=8080, debug=False, use_reloader=False)
+
+# Start webhook server in background
+webhook_thread = Thread(target=start_webhook_server, daemon=True)
+webhook_thread.start()
+time.sleep(2)
+
+print("🚀 Submitting crawl job with webhook...")
+
+# Submit job with webhook
+payload = {
+    "urls": ["https://example.com"],
+    "browser_config": {"headless": True},
+    "crawler_config": {"cache_mode": "bypass"},
+    "webhook_config": {
+        "webhook_url": f"{WEBHOOK_BASE_URL}/webhook",
+        "webhook_data_in_payload": True
+    }
+}
+
+response = requests.post(
+    f"{CRAWL4AI_BASE_URL}/crawl/job",
+    json=payload,
+    headers={"Content-Type": "application/json"}
+)
+
+if not response.ok:
+    print(f"❌ Failed to submit job: {response.text}")
+    exit(1)
+
+task_id = response.json()['task_id']
+print(f"✅ Job submitted successfully, task_id: {task_id}")
+
+# Wait for webhook (with timeout)
+print("⏳ Waiting for webhook notification...")
+if webhook_received.wait(timeout=60):
+    print(f"✅ Webhook received!")
+    print(f"   Task ID: {webhook_data.get('task_id')}")
+    print(f"   Status: {webhook_data.get('status')}")
+    print(f"   URLs: {webhook_data.get('urls')}")
+
+    if webhook_data.get('status') == 'completed':
+        if 'data' in webhook_data:
+            print(f"   ✅ Data included in webhook payload")
+            results = webhook_data['data'].get('results', [])
+            if results:
+                print(f"   📄 Crawled {len(results)} URL(s)")
+                for result in results:
+                    print(f"      - {result.get('url')}: {len(result.get('markdown', ''))} chars")
+        print("\n🎉 Webhook test PASSED!")
+        exit(0)
+    else:
+        print(f"   ❌ Job failed: {webhook_data.get('error')}")
+        exit(1)
+else:
+    print("❌ Webhook not received within 60 seconds")
+    # Try polling as fallback
+    print("⏳ Trying to poll job status...")
+    for i in range(10):
+        status_response = requests.get(f"{CRAWL4AI_BASE_URL}/crawl/job/{task_id}")
+        if status_response.ok:
+            status = status_response.json()
+            print(f"   Status: {status.get('status')}")
+            if status.get('status') in ['completed', 'failed']:
+                break
+        time.sleep(2)
+    exit(1)
+PYTHON_SCRIPT
+
+# Install Flask for webhook receiver
+pip install -q flask
+
+# Run the webhook test
+log_info "Running webhook test..."
+python3 /tmp/test_webhook.py &
+WEBHOOK_PID=$!
+
+# Wait for test to complete
+wait $WEBHOOK_PID
+TEST_EXIT_CODE=$?
+
+# Step 7: Verify results
+log_info "Step 7: Verifying test results..."
+if [ $TEST_EXIT_CODE -eq 0 ]; then
+    log_success "✅ Webhook test PASSED!"
+else
+    log_error "❌ Webhook test FAILED (exit code: $TEST_EXIT_CODE)"
+    log_info "Server logs:"
+    tail -100 /tmp/crawl4ai_server.log
+    exit 1
+fi
+
+# Step 8: Cleanup happens automatically via trap
+log_success "All tests completed successfully! 🎉"
+log_info "Cleanup will happen automatically..."