This update introduces a new feature in the URL seeding process that allows for the automatic filtering of utility URLs, such as robots.txt and sitemap.xml, which are not useful for content crawling. The class has been enhanced with a new parameter, , which is enabled by default. This change aims to improve the efficiency of the crawling process by reducing the number of irrelevant URLs processed.
Significant modifications include:
- Added parameter to in .
- Implemented logic in to check and filter out nonsense URLs during the seeding process in .
- Updated documentation to reflect the new filtering feature and provide examples of its usage in .
This change enhances the overall functionality of the URL seeder, making it smarter and more efficient in identifying and excluding non-content URLs.
BREAKING CHANGE: The now requires the parameter to be explicitly set if the default behavior is to be altered.
Related issues: #123
This commit introduces significant updates to the LinkedIn data discovery documentation by adding two new Jupyter notebooks that provide detailed insights into data discovery processes. The previous workshop notebook has been removed to streamline the content and avoid redundancy. Additionally, the URL seeder documentation has been expanded with a new tutorial and several enhancements to existing scripts, improving usability and clarity.
The changes include:
- Added and for comprehensive LinkedIn data discovery.
- Removed to eliminate outdated content.
- Updated to reflect new data visualization requirements.
- Introduced and to facilitate easier access to URL seeding techniques.
- Enhanced existing Python scripts and markdown files in the URL seeder section for better documentation and examples.
These changes aim to improve the overall documentation quality and user experience for developers working with LinkedIn data and URL seeding techniques.
This commit introduces AsyncUrlSeeder, a high-performance URL discovery system that enables intelligent crawling at scale by pre-discovering and filtering URLs before crawling.
## Core Features
### AsyncUrlSeeder Component
- Discovers URLs from multiple sources:
- Sitemaps (including nested and gzipped)
- Common Crawl index
- Combined sources for maximum coverage
- Extracts page metadata without full crawling:
- Title, description, keywords
- Open Graph and Twitter Card tags
- JSON-LD structured data
- Language and charset information
- BM25 relevance scoring for intelligent filtering:
- Query-based URL discovery
- Configurable score thresholds
- Automatic ranking by relevance
- Performance optimizations:
- Async/concurrent processing with configurable workers
- Rate limiting (hits per second)
- Automatic caching with TTL
- Streaming results for large datasets
### SeedingConfig
- Comprehensive configuration for URL seeding:
- Source selection (sitemap, cc, or both)
- URL pattern filtering with wildcards
- Live URL validation options
- Metadata extraction controls
- BM25 scoring parameters
- Concurrency and rate limiting
### Integration with AsyncWebCrawler
- Seamless pipeline: discover → filter → crawl
- Direct compatibility with arun_many()
- Significant resource savings by pre-filtering URLs
## Documentation
- Comprehensive guide comparing URL seeding vs deep crawling
- Complete API reference with parameter tables
- Practical examples showing all features
- Performance benchmarks and best practices
- Integration patterns with AsyncWebCrawler
## Examples
- url_seeder_demo.py: Interactive Rich-based demo with:
- Basic discovery
- Cache management
- Live validation
- BM25 scoring
- Multi-domain discovery
- Complete pipeline integration
- url_seeder_quick_demo.py: Screenshot-friendly examples:
- Pattern-based filtering
- Metadata exploration
- Smart search with BM25
## Testing
- Comprehensive test suite (test_async_url_seeder_bm25.py)
- Coverage of all major features
- Edge cases and error handling
- Performance and consistency tests
## Implementation Details
- Built on httpx with HTTP/2 support
- Optional dependencies: lxml, brotli, rank_bm25
- Cache management in ~/.crawl4ai/seeder_cache/
- Logger integration with AsyncLoggerBase
- Proper error handling and retry logic
## Bug Fixes
- Fixed logger color compatibility (lightblack → bright_black)
- Corrected URL extraction from seeder results for arun_many()
- Updated all examples and documentation with proper usage
This feature enables users to crawl smarter, not harder, by discovering
and analyzing URLs before committing resources to crawling them.
- Fixed widespread typo: `temprature` → `temperature` across LLMConfig and related files
- Enhanced CSS/XPath selector guidance for more reliable LinkedIn data extraction
- Added Google Colab display server support for running Crawl4AI in notebook environments
- Improved browser debugging with verbose startup args logging
- Updated LinkedIn schemas and HTML snippets for better parsing accuracy
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add new RegexExtractionStrategy for fast, zero-LLM extraction of common data types:
- Built-in patterns for emails, URLs, phones, dates, and more
- Support for custom regex patterns
- LLM-assisted pattern generation utility
- Optimized HTML preprocessing with fit_html field
- Enhanced network response body capture
Breaking changes: None
Improve Ask AI button with better mobile support, animations, and positioning:
- Add button animations and hover effects
- Improve mobile responsiveness
- Add icon to button
- Fix positioning logic for different viewport sizes
- Add keyboard (Escape) support
Add comprehensive v0.6.0 release documentation:
- Create detailed release notes
- Update blog index with latest release
- Document all major features and breaking changes
BREAKING CHANGE: Documentation structure updated with new v0.6.0 section
Implements a responsive hamburger menu for mobile devices with the following changes:
- Add new mobile_menu.js for handling mobile navigation
- Update layout.css with mobile-specific styles and animations
- Enhance README with updated geolocation example
- Register mobile_menu.js in mkdocs.yml
The mobile menu includes:
- Hamburger button animation
- Slide-out sidebar
- Backdrop overlay
- Touch-friendly navigation
- Proper event handling
Major updates to Docker deployment infrastructure:
- Switch default port to 11235 for all services
- Add MCP (Model Context Protocol) support with WebSocket/SSE endpoints
- Simplify docker-compose.yml with auto-platform detection
- Update documentation with new features and examples
- Consolidate configuration and improve resource management
BREAKING CHANGE: Default port changed from 8020 to 11235. Update your configurations and deployment scripts accordingly.
Add support for controlling browser geolocation, locale and timezone settings:
- New GeolocationConfig class for managing GPS coordinates
- Add locale and timezone_id parameters to CrawlerRunConfig
- Update browser context creation to handle location settings
- Add example script for geolocation usage
- Update documentation with location-based identity features
This enables more precise control over browser identity and location reporting.
Adds a new content_source parameter to MarkdownGenerationStrategy that allows
selecting which HTML content to use for markdown generation:
- cleaned_html (default): uses post-processed HTML
- raw_html: uses original webpage HTML
- fit_html: uses preprocessed HTML for schema extraction
Changes include:
- Added content_source parameter to MarkdownGenerationStrategy
- Updated AsyncWebCrawler to handle HTML source selection
- Added examples and tests for the new feature
- Updated documentation with new parameter details
BREAKING CHANGE: Renamed cleaned_html parameter to input_html in generate_markdown()
method signature to better reflect its generalized purpose
Moved ProxyConfig class from proxy_strategy.py to async_configs.py for better organization.
Improved LLM token handling with new PROVIDER_MODELS_PREFIXES.
Added test cases for deep crawling and proxy rotation.
Removed docker_config from BrowserConfig as it's handled separately.
BREAKING CHANGE: ProxyConfig import path changed from crawl4ai.proxy_strategy to crawl4ai
Add new AI assistant chat interface with features:
- Real-time chat with markdown support
- Chat history management
- Citation tracking
- Selection-to-query functionality
Also adds code copy button to documentation code blocks and adjusts layout/styling.
Breaking changes: None
Add new features to documentation UI:
- Add table of contents with scroll spy functionality
- Add GitHub repository statistics badge
- Implement new centered layout system with fixed sidebar
- Add conditional Playwright installation based on CRAWL4AI_MODE
Breaking changes: None
Implement comprehensive network request and console message capturing functionality:
- Add capture_network_requests and capture_console_messages config parameters
- Add network_requests and console_messages fields to models
- Implement Playwright event listeners to capture requests, responses, and console output
- Create detailed documentation and examples
- Add comprehensive tests
This feature enables deep visibility into web page activity for debugging,
security analysis, performance profiling, and API discovery in web applications.
Add ability to capture web pages as MHTML format, which includes all page resources
in a single file. This enables complete page archival and offline viewing.
- Add capture_mhtml parameter to CrawlerRunConfig
- Implement MHTML capture using CDP in AsyncPlaywrightCrawlerStrategy
- Add mhtml field to CrawlResult and AsyncCrawlResponse models
- Add comprehensive tests for MHTML capture functionality
- Update documentation with MHTML capture details
- Add exclude_all_images option for better memory management
Breaking changes: None
Adds new target_elements parameter to CrawlerRunConfig that allows more flexible content selection than css_selector. This enables focusing markdown generation and data extraction on specific elements while still processing the entire page for links and media.
Key changes:
- Added target_elements list parameter to CrawlerRunConfig
- Modified WebScrapingStrategy and LXMLWebScrapingStrategy to handle target_elements
- Updated documentation with examples and comparison between css_selector and target_elements
- Fixed table extraction in content_scraping_strategy.py
BREAKING CHANGE: Table extraction logic has been modified to better handle thead/tbody structures
Add comprehensive table detection and extraction functionality to the web scraping system:
- Implement intelligent table detection algorithm with scoring system
- Add table extraction with support for headers, rows, captions
- Update models to include tables in Media class
- Add table_score_threshold configuration option
- Add documentation and examples for table extraction
- Include crypto analysis example demonstrating table usage
This change enables users to extract structured data from HTML tables while intelligently filtering out layout tables.
Moves ProxyConfig from configs/ directory into proxy_strategy.py to improve code organization and reduce fragmentation. Updates all imports and type hints to reflect the new location.
Key changes:
- Moved ProxyConfig class from configs/proxy_config.py to proxy_strategy.py
- Updated type hints in async_configs.py to support ProxyConfig
- Fixed proxy configuration handling in browser_manager.py
- Updated documentation and examples to use new import path
BREAKING CHANGE: ProxyConfig import path has changed from crawl4ai.configs to crawl4ai.proxy_strategy
Add new features to enhance browser automation and HTML extraction:
- Add CDP browser launch capability with customizable ports and profiles
- Implement JsonLxmlExtractionStrategy for faster HTML parsing
- Add CLI command 'crwl cdp' for launching standalone CDP browsers
- Support connecting to external CDP browsers via URL
- Optimize selector caching and context-sensitive queries
BREAKING CHANGE: LLMConfig import path changed from crawl4ai.types to crawl4ai
Rename LlmConfig to LLMConfig across the codebase to follow consistent naming conventions.
Update all imports and usages to use the new name.
Update documentation and examples to reflect the change.
BREAKING CHANGE: LlmConfig has been renamed to LLMConfig. Users need to update their imports and usage.
Add max_pages parameter to all deep crawling strategies to limit total pages crawled.
Add score_threshold parameter to BFS/DFS strategies for quality control.
Remove legacy parameter handling in AsyncWebCrawler.
Improve error handling and logging in crawl strategies.
BREAKING CHANGE: Removed support for legacy parameters in AsyncWebCrawler.run_many()
Adds a new BrowserProfiler class that provides comprehensive management of browser profiles for identity-based crawling. Features include:
- Interactive profile creation and management
- Profile listing, retrieval, and deletion
- Guided console interface
- Migration of profile management from ManagedBrowser
- New example script for identity-based browsing
ALSO:
- Updates logging format in AsyncWebCrawler
- Removes content filter from hello_world example
- Relaxes httpx version constraint
BREAKING CHANGE: Profile management methods from ManagedBrowser are now deprecated and delegate to BrowserProfiler
* fix: Update export of URLPatternFilter
* chore: Add dependancy for cchardet in requirements
* docs: Update example for deep crawl in release note for v0.5
* Docs: update the example for memory dispatcher
* docs: updated example for crawl strategies
* Refactor: Removed wrapping in if __name__==main block since this is a markdown file.
* chore: removed cchardet from dependancy list, since unclecode is planning to remove it
* docs: updated the example for proxy rotation to a working example
* feat: Introduced ProxyConfig param
* Add tutorial for deep crawl & update contributor list for bug fixes in feb alpha-1
* chore: update and test new dependancies
* feat:Make PyPDF2 a conditional dependancy
* updated tutorial and release note for v0.5
* docs: update docs for deep crawl, and fix a typo in docker-deployment markdown filename
* refactor: 1. Deprecate markdown_v2 2. Make markdown backward compatible to behave as a string when needed. 3. Fix LlmConfig usage in cli 4. Deprecate markdown_v2 in cli 5. Update AsyncWebCrawler for changes in CrawlResult
* fix: Bug in serialisation of markdown in acache_url
* Refactor: Added deprecation errors for fit_html and fit_markdown directly on markdown. Now access them via markdown
* fix: remove deprecated markdown_v2 from docker
* Refactor: remove deprecated fit_markdown and fit_html from result
* refactor: fix cache retrieval for markdown as a string
* chore: update all docs, examples and tests with deprecation announcements for markdown_v2, fit_html, fit_markdown
