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
Adds new features to improve user experience and configuration:
- Quick JSON extraction with -j flag for direct LLM-based structured data extraction
- Global configuration management with 'crwl config' commands
- Enhanced LLM extraction with better JSON handling and error management
- New user settings for default behaviors (LLM provider, browser settings, etc.)
Breaking changes: None
Add new preprocess_html_for_schema utility function to better handle HTML cleaning
for schema generation. This replaces the previous optimize_html function in the
GoogleSearchCrawler and includes smarter attribute handling and pattern detection.
Other changes:
- Update default provider to gpt-4o
- Add DEFAULT_PROVIDER_API_KEY constant
- Make LLMConfig creation more flexible with create_llm_config helper
- Add new dependencies: zstandard and msgpack
This change improves schema generation reliability while reducing noise in the
processed HTML.
Enhance URL handling in deep crawling with:
- New URL normalization functions for consistent URL formats
- Improved domain filtering with subdomain support
- Added URLPatternFilter to public API
- Better URL deduplication in BFS strategy
These changes improve crawling accuracy and reduce duplicate visits.
- Add HTML attribute preservation in GoogleSearchCrawler
- Fix lxml import references in utils.py
- Remove unused ssl_certificate.json
- Clean up imports and code organization in hub.py
- Update test case formatting and remove unused image search test
BREAKING CHANGE: Removed ssl_certificate.json file which might affect existing certificate validations
Split deep crawling code into separate strategy files for better organization and maintainability. Added new BFF (Best First) and DFS crawling strategies. Introduced base strategy class and common types.
BREAKING CHANGE: Deep crawling implementation has been split into multiple files. Import paths for deep crawling strategies have changed.
Complete overhaul of Docker deployment setup with improved architecture:
- Add Redis integration for task management
- Implement rate limiting and security middleware
- Add Prometheus metrics and health checks
- Improve error handling and logging
- Add support for streaming responses
- Implement proper configuration management
- Add platform-specific optimizations for ARM64/AMD64
BREAKING CHANGE: Docker deployment now requires Redis and new config.yml structure
Major reorganization of the project structure:
- Moved legacy synchronous crawler code to legacy folder
- Removed deprecated CLI and docs manager
- Consolidated version manager into utils.py
- Added CrawlerHub to __init__.py exports
- Fixed type hints in async_webcrawler.py
- Fixed minor bugs in chunking and crawler strategies
BREAKING CHANGE: Removed synchronous WebCrawler, CLI, and docs management functionality. Users should migrate to AsyncWebCrawler.
Add JavaScript execution result handling and improve PDF processing capabilities:
- Add js_execution_result to CrawlResult and AsyncCrawlResponse models
- Implement execution result capture in AsyncPlaywrightCrawlerStrategy
- Add batch processing for PDF pages with configurable batch size
- Enhance JsonElementExtractionStrategy with better schema generation
- Add HTML optimization utilities
BREAKING CHANGE: PDF processing now uses batch processing by default
Add support for checking and respecting robots.txt rules before crawling websites:
- Implement RobotsParser class with SQLite caching
- Add check_robots_txt parameter to CrawlerRunConfig
- Integrate robots.txt checking in AsyncWebCrawler
- Update documentation with robots.txt compliance examples
- Add tests for robot parser functionality
The cache uses WAL mode for better concurrency and has a default TTL of 7 days.
Implement more robust browser executable path handling using playwright's built-in browser management. This change:
- Adds async browser path resolution
- Implements path caching in the home folder
- Removes hardcoded browser paths
- Adds httpx dependency
- Removes obsolete test result files
This change makes the browser path resolution more reliable across different platforms and environments.
Adds a new ScrapingMode enum to allow switching between BeautifulSoup and LXML parsing.
LXML mode offers 10-20x better performance for large HTML documents.
Key changes:
- Added ScrapingMode enum with BEAUTIFULSOUP and LXML options
- Implemented LXMLWebScrapingStrategy class
- Added LXML-based metadata extraction
- Updated documentation with scraping mode usage and performance considerations
- Added cssselect dependency
BREAKING CHANGE: None
- Fix JsonCssExtractionStrategy._get_elements to return all matching elements instead of just one
- Add robust error handling to page_need_scroll with default fallback
- Improve JSON extraction strategies documentation
- Refactor content scraping strategy
- Update version to 0.4.247
- Added examples for Amazon product data extraction methods
- Updated configuration options and enhance documentation
- Minor refactoring for improved performance and readability
- Cleaned up version control settings.
- Add llm.txt generator
- Added SSL certificate extraction in AsyncWebCrawler.
- Introduced new content filters and chunking strategies for more robust data extraction.
- Updated documentation.
- Introduced new configuration classes: BrowserConfig and CrawlerRunConfig.
- Refactored AsyncWebCrawler to leverage the new configuration system for cleaner parameter management.
- Updated AsyncPlaywrightCrawlerStrategy for better flexibility and reduced legacy parameters.
- Improved error handling with detailed context extraction during exceptions.
- Enhanced overall maintainability and usability of the web crawler.
- Introduced a new approach for capturing full-page screenshots by exporting them as PDFs first, enhancing reliability and performance.
- Added documentation for the feature in `docs/examples/full_page_screenshot_and_pdf_export.md`.
- Refactored `perform_completion_with_backoff` in `crawl4ai/utils.py` to include necessary extra parameters.
- Updated `quickstart_async.py` to utilize LLM extraction with refined arguments.
- Introduced new async crawl strategy with session management.
- Added BrowserManager for improved browser management.
- Enhanced documentation, focusing on storage state and usage examples.
- Improved error handling and logging for sessions.
- Added JavaScript snippets for customizing navigator properties.
Enhance Async Crawler with storage state handling
- Updated Async Crawler to support storage state management.
- Added error handling for URL validation in Async Web Crawler.
- Modified README logo and improved .gitignore entries.
- Fixed issues in multiple files for better code robustness.
- Enhanced the web scraping strategy with new methods for optimized media handling.
- Added new utility functions for better content processing.
- Refined existing features for improved accuracy and efficiency in scraping tasks.
- Introduced more robust filtering criteria for media elements.
- Updated version to 0.3.743
- Improved ManagedBrowser configuration with dynamic host/port
- Implemented fast HTML formatting in web crawler
- Enhanced markdown generation with a new generator class
- Improved sanitization and utility functions
- Added contributor details and pull request acknowledgments
- Updated documentation for clearer usage scenarios
- Adjusted tests to reflect class name changes
- Introduced AsyncDatabaseManager for async DB management.
- Added migration feature to transition to file-based storage.
- Enhanced web crawler with improved caching logic.
- Updated requirements and setup for async processing.
- Another thing this commit introduces is the concept of the Relevance Content Filter. This is an improvement over Fit Markdown. This class of strategies aims to extract the main content from a given page - the part that really matters and is useful to be processed. One strategy has been created using the BM25 algorithm, which finds chunks of text from the web page relevant to its title, descriptions, and keywords, or supports a given user query and matches them. The result is then returned to the main engine to be converted to Markdown. Plans include adding approaches using language models as well.
- The cache database was updated to hold information about response headers and downloaded files.
• Add smart overlay removal system for handling popups and modals
• Improve screenshot functionality with configurable timing controls
• Implement URL normalization and enhanced link processing
• Add custom base directory support for cache storage
• Refine external content filtering and social media domain handling
This commit significantly improves the crawler's ability to handle modern
websites by automatically removing intrusive overlays and providing better
screenshot capabilities. URL handling is now more robust with proper
normalization and duplicate detection. The cache system is more flexible
with customizable base directory support.
Breaking changes: None
Issue numbers: None
- Implement playwright_stealth for better bot detection avoidance
- Add user simulation and navigator override options
- Improve iframe processing and browser selection
- Enhance error reporting and debugging capabilities
- Optimize image processing and parallel crawling
- Add new example for user simulation feature
- Added support for including links in Markdown content, by definin g a new flag `include_links_on_markdown` in `crawl` method.
- Add browser type selection (Chromium, Firefox, WebKit)
- Implement iframe content extraction
- Improve image processing and dimension updates
- Add custom headers support in AsyncPlaywrightCrawlerStrategy
- Enhance delayed content retrieval with new parameter
- Optimize HTML sanitization and Markdown conversion
- Update examples in quickstart_async.py for new features
- Add before_retrieve_html hook and delay_before_return_html option
- Implement flexible page_timeout for smart_wait function
- Support extra_args and custom headers in LLM extraction
- Allow arbitrary kwargs in AsyncWebCrawler initialization
- Improve perform_completion_with_backoff for custom API calls
- Update examples with new features and diverse LLM providers
This code change updates the `LLMExtractionStrategy` class to handle schema extraction when the schema is non-empty. Previously, the schema extraction was only triggered when the `extract_type` was set to "schema", regardless of whether a schema was provided. With this update, the schema extraction will only be performed if the `extract_type` is "schema" and a non-empty schema is provided. This ensures that the extraction strategy behaves correctly and avoids unnecessary schema extraction when not needed. Also "numpy" is removed from default installation mode.
