* 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 (437395e490).
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>
28 KiB
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.
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"(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"]. |
Tips:
- Set
headless=Falseto visually debug how pages load or how interactions proceed. - If you need authentication storage or repeated sessions, consider
use_persistent_context=Trueand specifyuser_data_dir. - For large pages, you might need a bigger
viewport_widthandviewport_heightto 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.
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
We group them by category.
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). |
Use these for controlling whether you read or write from a local content cache. Handy for large batch crawls or repeated site visits.
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. |
Use these for link-level content filtering (often to keep crawls “internal” or to remove spammy domains).
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:
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 |
When to use Virtual Scroll vs scan_full_page:
- Use
virtual_scroll_configwhen content is replaced during scroll (Twitter, Instagram) - Use
scan_full_pagewhen content is appended during scroll (traditional infinite scroll)
See Virtual Scroll documentation for detailed examples.
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():
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_matcheris 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.ORorMatchMode.AND
Important Behavior:
- When passing a list of configs to
arun_many(), URLs are matched against each config'surl_matcherin 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" - Always include a default config as the last item if you want to handle all URLs
---## 2.2 Helper Methods
Both BrowserConfig and CrawlerRunConfig provide a clone() method to create modified copies:
# 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
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. |
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
LLMConfig is useful to pass LLM provider config to strategies and functions that rely on LLMs to do extraction, filtering, schema generation etc. Currently it can be used in the following -
- LLMExtractionStrategy
- LLMContentFilter
- JsonCssExtractionStrategy.generate_schema
- 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"(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 2. API token of LLM provider eg: api_token = "gsk_1ClHGGJ7Lpn4WGybR7vNWGdyb3FY7zXEw3SCiy0BAVM9lL8CQv" 3. Environment variable - use with prefix "env:" 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
llm_config = LLMConfig(provider="openai/gpt-4o-mini", api_token=os.getenv("OPENAI_API_KEY"))
4. Putting It All Together
- Use
BrowserConfigfor global browser settings: engine, headless, proxy, user agent. - Use
CrawlerRunConfigfor each crawl’s context: how to filter content, handle caching, wait for dynamic elements, or run JS. - Pass both configs to
AsyncWebCrawler(theBrowserConfig) and then toarun()(theCrawlerRunConfig). - Use
LLMConfigfor 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
# Create a modified copy with the clone() method
stream_cfg = run_cfg.clone(
stream=True,
cache_mode=CacheMode.BYPASS
)