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8 Commits
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f6f7f1b551 |
Release v0.8.0: Crash Recovery, Prefetch Mode & Security Fixes (#1712)
* Fix: Use correct URL variable for raw HTML extraction (#1116) - Prevents full HTML content from being passed as URL to extraction strategies - Added unit tests to verify raw HTML and regular URL processing Fix: Wrong URL variable used for extraction of raw html * Fix #1181: Preserve whitespace in code blocks during HTML scraping The remove_empty_elements_fast() method was removing whitespace-only span elements inside <pre> and <code> tags, causing import statements like "import torch" to become "importtorch". Now skips elements inside code blocks where whitespace is significant. * Refactor Pydantic model configuration to use ConfigDict for arbitrary types * Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621 * Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638 * fix: ensure BrowserConfig.to_dict serializes proxy_config * feat: make LLM backoff configurable end-to-end - extend LLMConfig with backoff delay/attempt/factor fields and thread them through LLMExtractionStrategy, LLMContentFilter, table extraction, and Docker API handlers - expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff and document them in the md_v2 guides * reproduced AttributeError from #1642 * pass timeout parameter to docker client request * added missing deep crawling objects to init * generalized query in ContentRelevanceFilter to be a str or list * import modules from enhanceable deserialization * parameterized tests * Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268 * refactor: replace PyPDF2 with pypdf across the codebase. ref #1412 * Add browser_context_id and target_id parameters to BrowserConfig Enable Crawl4AI to connect to pre-created CDP browser contexts, which is essential for cloud browser services that pre-create isolated contexts. Changes: - Add browser_context_id and target_id parameters to BrowserConfig - Update from_kwargs() and to_dict() methods - Modify BrowserManager.start() to use existing context when provided - Add _get_page_by_target_id() helper method - Update get_page() to handle pre-existing targets - Add test for browser_context_id functionality This enables cloud services to: 1. Create isolated CDP contexts before Crawl4AI connects 2. Pass context/target IDs to BrowserConfig 3. Have Crawl4AI reuse existing contexts instead of creating new ones * Add cdp_cleanup_on_close flag to prevent memory leaks in cloud/server scenarios * Fix: add cdp_cleanup_on_close to from_kwargs * Fix: find context by target_id for concurrent CDP connections * Fix: use target_id to find correct page in get_page * Fix: use CDP to find context by browserContextId for concurrent sessions * Revert context matching attempts - Playwright cannot see CDP-created contexts * Add create_isolated_context flag for concurrent CDP crawls When True, forces creation of a new browser context instead of reusing the default context. Essential for concurrent crawls on the same browser to prevent navigation conflicts. * Add context caching to create_isolated_context branch Uses contexts_by_config cache (same as non-CDP mode) to reuse contexts for multiple URLs with same config. Still creates new page per crawl for navigation isolation. Benefits batch/deep crawls. * Add init_scripts support to BrowserConfig for pre-page-load JS injection This adds the ability to inject JavaScript that runs before any page loads, useful for stealth evasions (canvas/audio fingerprinting, userAgentData). - Add init_scripts parameter to BrowserConfig (list of JS strings) - Apply init_scripts in setup_context() via context.add_init_script() - Update from_kwargs() and to_dict() for serialization * Fix CDP connection handling: support WS URLs and proper cleanup Changes to browser_manager.py: 1. _verify_cdp_ready(): Support multiple URL formats - WebSocket URLs (ws://, wss://): Skip HTTP verification, Playwright handles directly - HTTP URLs with query params: Properly parse with urlparse to preserve query string - Fixes issue where naive f"{cdp_url}/json/version" broke WS URLs and query params 2. close(): Proper cleanup when cdp_cleanup_on_close=True - Close all sessions (pages) - Close all contexts - Call browser.close() to disconnect (doesn't terminate browser, just releases connection) - Wait 1 second for CDP connection to fully release - Stop Playwright instance to prevent memory leaks This enables: - Connecting to specific browsers via WS URL - Reusing the same browser with multiple sequential connections - No user wait needed between connections (internal 1s delay handles it) Added tests/browser/test_cdp_cleanup_reuse.py with comprehensive tests. * Update gitignore * Some debugging for caching * Add _generate_screenshot_from_html for raw: and file:// URLs Implements the missing method that was being called but never defined. Now raw: and file:// URLs can generate screenshots by: 1. Loading HTML into a browser page via page.set_content() 2. Taking screenshot using existing take_screenshot() method 3. Cleaning up the page afterward This enables cached HTML to be rendered with screenshots in crawl4ai-cloud. * Add PDF and MHTML support for raw: and file:// URLs - Replace _generate_screenshot_from_html with _generate_media_from_html - New method handles screenshot, PDF, and MHTML in one browser session - Update raw: and file:// URL handlers to use new method - Enables cached HTML to generate all media types * Add crash recovery for deep crawl strategies Add optional resume_state and on_state_change parameters to all deep crawl strategies (BFS, DFS, Best-First) for cloud deployment crash recovery. Features: - resume_state: Pass saved state to resume from checkpoint - on_state_change: Async callback fired after each URL for real-time state persistence to external storage (Redis, DB, etc.) - export_state(): Get last captured state manually - Zero overhead when features are disabled (None defaults) State includes visited URLs, pending queue/stack, depths, and pages_crawled count. All state is JSON-serializable. * Fix: HTTP strategy raw: URL parsing truncates at # character The AsyncHTTPCrawlerStrategy.crawl() method used urlparse() to extract content from raw: URLs. This caused HTML with CSS color codes like #eee to be truncated because # is treated as a URL fragment delimiter. Before: raw:body{background:#eee} -> parsed.path = 'body{background:' After: raw:body{background:#eee} -> raw_content = 'body{background:#eee' Fix: Strip the raw: or raw:// prefix directly instead of using urlparse, matching how the browser strategy handles it. * Add base_url parameter to CrawlerRunConfig for raw HTML processing When processing raw: HTML (e.g., from cache), the URL parameter is meaningless for markdown link resolution. This adds a base_url parameter that can be set explicitly to provide proper URL resolution context. Changes: - Add base_url parameter to CrawlerRunConfig.__init__ - Add base_url to CrawlerRunConfig.from_kwargs - Update aprocess_html to use base_url for markdown generation Usage: config = CrawlerRunConfig(base_url='https://example.com') result = await crawler.arun(url='raw:{html}', config=config) * Add prefetch mode for two-phase deep crawling - Add `prefetch` parameter to CrawlerRunConfig - Add `quick_extract_links()` function for fast link extraction - Add short-circuit in aprocess_html() for prefetch mode - Add 42 tests (unit, integration, regression) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> * Updates on proxy rotation and proxy configuration * Add proxy support to HTTP crawler strategy * Add browser pipeline support for raw:/file:// URLs - Add process_in_browser parameter to CrawlerRunConfig - Route raw:/file:// URLs through _crawl_web() when browser operations needed - Use page.set_content() instead of goto() for local content - Fix cookie handling for non-HTTP URLs in browser_manager - Auto-detect browser requirements: js_code, wait_for, screenshot, etc. - Maintain fast path for raw:/file:// without browser params Fixes #310 * Add smart TTL cache for sitemap URL seeder - Add cache_ttl_hours and validate_sitemap_lastmod params to SeedingConfig - New JSON cache format with metadata (version, created_at, lastmod, url_count) - Cache validation by TTL expiry and sitemap lastmod comparison - Auto-migration from old .jsonl to new .json format - Fixes bug where incomplete cache was used indefinitely * Update URL seeder docs with smart TTL cache parameters - Add cache_ttl_hours and validate_sitemap_lastmod to parameter table - Document smart TTL cache validation with examples - Add cache-related troubleshooting entries - Update key features summary * Add MEMORY.md to gitignore * Docs: Add multi-sample schema generation section Add documentation explaining how to pass multiple HTML samples to generate_schema() for stable selectors that work across pages with varying DOM structures. Includes: - Problem explanation (fragile nth-child selectors) - Solution with code example - Key points for multi-sample queries - Comparison table of fragile vs stable selectors * Fix critical RCE and LFI vulnerabilities in Docker API deployment Security fixes for vulnerabilities reported by ProjectDiscovery: 1. Remote Code Execution via Hooks (CVE pending) - Remove __import__ from allowed_builtins in hook_manager.py - Prevents arbitrary module imports (os, subprocess, etc.) - Hooks now disabled by default via CRAWL4AI_HOOKS_ENABLED env var 2. Local File Inclusion via file:// URLs (CVE pending) - Add URL scheme validation to /execute_js, /screenshot, /pdf, /html - Block file://, javascript:, data: and other dangerous schemes - Only allow http://, https://, and raw: (where appropriate) 3. Security hardening - Add CRAWL4AI_HOOKS_ENABLED=false as default (opt-in for hooks) - Add security warning comments in config.yml - Add validate_url_scheme() helper for consistent validation Testing: - Add unit tests (test_security_fixes.py) - 16 tests - Add integration tests (run_security_tests.py) for live server Affected endpoints: - POST /crawl (hooks disabled by default) - POST /crawl/stream (hooks disabled by default) - POST /execute_js (URL validation added) - POST /screenshot (URL validation added) - POST /pdf (URL validation added) - POST /html (URL validation added) Breaking changes: - Hooks require CRAWL4AI_HOOKS_ENABLED=true to function - file:// URLs no longer work on API endpoints (use library directly) * Enhance authentication flow by implementing JWT token retrieval and adding authorization headers to API requests * Add release notes for v0.7.9, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates * Add release notes for v0.8.0, detailing breaking changes, security fixes, new features, bug fixes, and documentation updates Documentation for v0.8.0 release: - SECURITY.md: Security policy and vulnerability reporting guidelines - RELEASE_NOTES_v0.8.0.md: Comprehensive release notes - migration/v0.8.0-upgrade-guide.md: Step-by-step migration guide - security/GHSA-DRAFT-RCE-LFI.md: GitHub security advisory drafts - CHANGELOG.md: Updated with v0.8.0 changes Breaking changes documented: - Docker API hooks disabled by default (CRAWL4AI_HOOKS_ENABLED) - file:// URLs blocked on Docker API endpoints Security fixes credited to Neo by ProjectDiscovery * Add examples for deep crawl crash recovery and prefetch mode in documentation * Release v0.8.0: The v0.8.0 Update - Updated version to 0.8.0 - Added comprehensive demo and release notes - Updated all documentation * Update security researcher acknowledgment with a hyperlink for Neo by ProjectDiscovery * Add async agenerate_schema method for schema generation - Extract prompt building to shared _build_schema_prompt() method - Add agenerate_schema() async version using aperform_completion_with_backoff - Refactor generate_schema() to use shared prompt builder - Fixes Gemini/Vertex AI compatibility in async contexts (FastAPI) * Fix: Enable litellm.drop_params for O-series/GPT-5 model compatibility O-series (o1, o3) and GPT-5 models only support temperature=1. Setting litellm.drop_params=True auto-drops unsupported parameters instead of throwing UnsupportedParamsError. Fixes temperature=0.01 error for these models in LLM extraction. --------- Co-authored-by: rbushria <rbushri@gmail.com> Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com> Co-authored-by: Soham Kukreti <kukretisoham@gmail.com> Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com> Co-authored-by: unclecode <unclecode@kidocode.com> Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com> |
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a87e8c1c9e |
Release/v0.7.8 (#1662)
* Fix: Use correct URL variable for raw HTML extraction (#1116) - Prevents full HTML content from being passed as URL to extraction strategies - Added unit tests to verify raw HTML and regular URL processing Fix: Wrong URL variable used for extraction of raw html * Fix #1181: Preserve whitespace in code blocks during HTML scraping The remove_empty_elements_fast() method was removing whitespace-only span elements inside <pre> and <code> tags, causing import statements like "import torch" to become "importtorch". Now skips elements inside code blocks where whitespace is significant. * Refactor Pydantic model configuration to use ConfigDict for arbitrary types * Fix EmbeddingStrategy: Uncomment response handling for the variations and clean up mock data. ref #1621 * Fix: permission issues with .cache/url_seeder and other runtime cache dirs. ref #1638 * fix: ensure BrowserConfig.to_dict serializes proxy_config * feat: make LLM backoff configurable end-to-end - extend LLMConfig with backoff delay/attempt/factor fields and thread them through LLMExtractionStrategy, LLMContentFilter, table extraction, and Docker API handlers - expose the backoff parameter knobs on perform_completion_with_backoff/aperform_completion_with_backoff and document them in the md_v2 guides * reproduced AttributeError from #1642 * pass timeout parameter to docker client request * added missing deep crawling objects to init * generalized query in ContentRelevanceFilter to be a str or list * import modules from enhanceable deserialization * parameterized tests * Fix: capture current page URL to reflect JavaScript navigation and add test for delayed redirects. ref #1268 * refactor: replace PyPDF2 with pypdf across the codebase. ref #1412 * announcement: add application form for cloud API closed beta * Release v0.7.8: Stability & Bug Fix Release - Updated version to 0.7.8 - Introduced focused stability release addressing 11 community-reported bugs. - Key fixes include Docker API improvements, LLM extraction enhancements, URL handling corrections, and dependency updates. - Added detailed release notes for v0.7.8 in the blog and created a dedicated verification script to ensure all fixes are functioning as intended. - Updated documentation to reflect recent changes and improvements. * docs: add section for Crawl4AI Cloud API closed beta with application link * fix: add disk cleanup step to Docker workflow --------- Co-authored-by: rbushria <rbushri@gmail.com> Co-authored-by: AHMET YILMAZ <tawfik@kidocode.com> Co-authored-by: Soham Kukreti <kukretisoham@gmail.com> Co-authored-by: Chris Murphy <chris.murphy@klaviyo.com> Co-authored-by: Aravind Karnam <aravind.karanam@gmail.com> |
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6244f56f36 |
Release v0.7.7
- Updated version to 0.7.7 - Added comprehensive demo and release notes - Updated all documentation |
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7cac008c10 |
Release/v0.7.6 (#1556)
* 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 (
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cf8badfe27 |
feat: cleanup unused code and enhance documentation for v0.7.1
- Remove unused StealthConfig from browser_manager.py
- Update LinkPreviewConfig import path in __init__.py and examples
- Fix infinity handling in content_scraping_strategy.py (use 0 instead of float('inf'))
- Remove sanitize_json_data functions from API endpoints
- Add comprehensive C4A Script documentation to release notes
- Update v0.7.0 release notes with improved code examples
- Create v0.7.1 release notes focusing on cleanup and documentation improvements
- Update demo files with corrected import paths and examples
- Fix virtual scroll and adaptive crawling examples across documentation
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
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0c8bb742b7 |
Release v0.7.0-r1: The Adaptive Intelligence Update
- Bump version to 0.7.0 - Add release notes and demo files - Update README with v0.7.0 features - Update Docker configurations for v0.7.0-r1 - Move v0.7.0 demo files to releases_review - Fix BM25 scoring bug in URLSeeder Major features: - Adaptive Crawling with pattern learning - Virtual Scroll support for infinite pages - Link Preview with 3-layer scoring - Async URL Seeder for massive discovery - Performance optimizations |
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c0fd36982d | Update all documentation to import extraction strategies directly from crawl4ai. | ||
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19df96ed56 |
feat(proxy): add proxy rotation strategy
Implements a new proxy rotation system with the following changes: - Add ProxyRotationStrategy abstract base class - Add RoundRobinProxyStrategy concrete implementation - Integrate proxy rotation with AsyncWebCrawler - Add proxy_rotation_strategy parameter to CrawlerRunConfig - Add example script demonstrating proxy rotation usage - Remove deprecated synchronous WebCrawler code - Clean up rate limiting documentation BREAKING CHANGE: Removed synchronous WebCrawler support and related rate limiting configurations |