Add new LinkedIn prospect discovery tool with three main components:
- c4ai_discover.py for company and people scraping
- c4ai_insights.py for org chart and decision maker analysis
- Interactive graph visualization with company/people exploration
Features include:
- Configurable LinkedIn search and scraping
- Org chart generation with decision maker scoring
- Interactive network graph visualization
- Company similarity analysis
- Chat interface for data exploration
Requires: crawl4ai, openai, sentence-transformers, networkx
Enhance browser profile handling with better process cleanup and documentation:
- Add process cleanup for existing Chromium instances on Windows/Unix
- Fix profile creation by passing complete browser config
- Add comprehensive documentation for browser and CLI components
- Add initial profile creation test
- Bump version to 0.6.3
This change improves reliability when managing browser profiles and provides better documentation for developers.
Modify BrowserConfig to respect explicit headless parameter setting instead of forcing True. Update version to 0.6.2 and clean up code formatting in examples.
BREAKING CHANGE: BrowserConfig no longer defaults to headless=True when explicitly set to False
- Add tables field to CrawlResult model while maintaining backward compatibility
- Update async_webcrawler.py to extract tables from media and pass to tables field
- Update crypto_analysis_example.py to use the new tables field
- Add /config/dump examples to demo_docker_api.py
- Bump version to 0.6.1
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
- Update Docker base image to Python 3.12-slim-bookworm
- Bump version from 0.6.0rc1 to 0.6.0
- Update documentation to reflect release version changes
- Fix license specification in pyproject.toml and setup.py
- Clean up code formatting in demo_docker_api.py
BREAKING CHANGE: Base Python version upgraded from 3.10 to 3.12
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.
Improve the Docker API demo script with better error handling, more detailed output,
and enhanced visualization:
- Add detailed error messages and stack traces for debugging
- Implement better status code handling and display
- Enhance JSON output formatting with monokai theme and word wrap
- Add depth information display for deep crawls
- Improve proxy usage reporting
- Fix port number inconsistency
No breaking changes.
Add a new example script demonstrating Docker API usage with extensive features:
- Basic crawling with single/multi URL support
- Markdown generation with various filters
- Parameter demonstrations (CSS, JS, screenshots, SSL, proxies)
- Extraction strategies using CSS and LLM
- Deep crawling capabilities with streaming
- Integration examples with proxy rotation and SSL certificate fetching
Also includes minor formatting improvements in async_webcrawler.py
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
Reorganize browser strategy code into separate modules for better maintainability and separation of concerns. Improve Docker implementation with:
- Add Alpine and Debian-based Dockerfiles for better container options
- Enhance Docker registry to share configuration with BuiltinBrowserStrategy
- Add CPU and memory limits to container configuration
- Improve error handling and logging
- Update documentation and examples
BREAKING CHANGE: DockerConfig, DockerRegistry, and DockerUtils have been moved to new locations and their APIs have been updated.
Adds a new browser management system with strategy pattern implementation:
- Introduces BrowserManager class with strategy pattern support
- Adds PlaywrightBrowserStrategy, CDPBrowserStrategy, and BuiltinBrowserStrategy
- Implements BrowserProfileManager for profile management
- Adds PagePoolConfig for browser page pooling
- Includes comprehensive test suite for all browser strategies
BREAKING CHANGE: Browser management has been moved to browser/ module. Direct usage of browser_manager.py and browser_profiler.py is deprecated.
Implements a persistent browser management system that allows running a single shared browser instance
that can be reused across multiple crawler sessions. Key changes include:
- Added browser_mode config option with 'builtin', 'dedicated', and 'custom' modes
- Implemented builtin browser management in BrowserProfiler
- Added CLI commands for managing builtin browser (start, stop, status, restart, view)
- Modified browser process handling to support detached processes
- Added automatic builtin browser setup during package installation
BREAKING CHANGE: The browser_mode config option changes how browser instances are managed
Add special handling for single URL requests in Docker API to use arun() instead of arun_many()
Add new example script demonstrating performance differences between sequential and parallel crawling
Update cache mode from aggressive to bypass in examples and tests
Remove unused dependencies (zstandard, msgpack)
BREAKING CHANGE: Changed default cache_mode from aggressive to bypass in examples
Implements a comprehensive monitoring and visualization system for tracking web crawler operations in real-time. The system includes:
- Terminal-based dashboard with rich UI for displaying task statuses
- Memory pressure monitoring and adaptive dispatch control
- Queue statistics and performance metrics tracking
- Detailed task progress visualization
- Stress testing framework for memory management
This addition helps operators track crawler performance and manage memory usage more effectively.
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
