### New Features:
- **Text-Only Mode**: Added support for text-only crawling by disabling images, JavaScript, GPU, and other non-essential features.
- **Light Mode**: Optimized browser settings to reduce resource usage and improve efficiency during crawling.
- **Dynamic Viewport Adjustment**: Automatically adjusts viewport dimensions based on content size, ensuring accurate rendering and scaling.
- **Full Page Scanning**: Introduced a feature to scroll and capture dynamic content for pages with infinite scroll or lazy-loading elements.
- **Session Management**: Added `create_session` method for creating and managing browser sessions with unique IDs.
### Improvements:
- Unified viewport handling across contexts by dynamically setting dimensions using `self.viewport_width` and `self.viewport_height`.
- Enhanced logging and error handling for viewport adjustments, page scanning, and content evaluation.
- Reduced resource usage with additional browser flags for both `light_mode` and `text_only` configurations.
- Improved handling of cookies, headers, and proxies in session creation.
### Refactoring:
- Removed hardcoded viewport dimensions and replaced them with dynamic configurations.
- Cleaned up unused and commented-out code for better readability and maintainability.
- Introduced defaults for frequently used parameters like `delay_before_return_html`.
### Fixes:
- Resolved potential inconsistencies in viewport handling.
- Improved robustness of content loading and dynamic adjustments to avoid failures and timeouts.
### Docs Update:
- Updated schema usage in `quickstart_async.py` example:
- Changed `OpenAIModelFee.schema()` to `OpenAIModelFee.model_json_schema()` for compatibility.
- Enhanced LLM extraction instruction documentation.
This commit introduces significant enhancements to improve efficiency, flexibility, and reliability of the crawler strategy.
- Introduced the PruningContentFilter for better content relevance.
- Implemented comprehensive unit tests for verification of functionality.
- Enhanced existing BM25ContentFilter tests for edge case coverage.
- Updated documentation to include usage examples for new filter.
- Added new Docker commands for platform-specific builds.
- Updated README with comprehensive installation and setup instructions.
- Introduced `post_install` method in setup script for automation.
- Refined migration processes with enhanced error logging.
- Bump version to 0.3.746 and updated dependencies.
Major changes:
- Add browser takeover feature using CDP for authentic browsing
- Implement Docker support with full API server documentation
- Enhance Mockdown with tag preservation system
- Improve parallel crawling performance
This release focuses on authenticity and scalability, introducing the ability
to use users' own browsers while providing containerized deployment options.
Breaking changes include modified browser handling and API response structure.
See CHANGELOG.md for detailed migration guide.
• 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
- Add support for extracting Base64 encoded images
- Improve image format detection to include Base64 images
- Enhance compatibility with locally saved HTML files using Base64 image encoding
- Update version number to 0.3.71
- Add sleep_on_close option to AsyncPlaywrightCrawlerStrategy
- Enhance context creation with additional options
- Improve error message formatting and visibility
- Update quickstart documentation
- 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 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
- Implement smart_wait function in AsyncPlaywrightCrawlerStrategy
- Add screenshot support to AsyncCrawlResponse and AsyncWebCrawler
- Improve error handling and timeout management in crawling process
- Fix typo in CrawlResult model (responser_headers -> response_headers)
- Update .gitignore to exclude additional files
- Adjust import path in test_basic_crawling.py
Significant improvements in text processing and performance:
- 🚀 **Dependency reduction**: Removed dependency on spaCy model for text chunk labeling in cosine extraction strategy.
- 🤖 **Transformer upgrade**: Implemented text sequence classification using a transformer model for labeling text chunks.
- ⚡ **Performance enhancement**: Improved model loading speed due to removal of spaCy dependency.
- 🔧 **Future-proofing**: Laid groundwork for potential complete removal of spaCy dependency in future versions.
These changes address issue #68 and provide a foundation for faster, more efficient text processing in Crawl4AI.
Major improvements in functionality, performance, and cross-platform compatibility! 🚀
- 🐳 **Docker enhancements**: Significantly improved Dockerfile for easy installation on Linux, Mac, and Windows.
- 🌐 **Official Docker Hub image**: Launched our first official image on Docker Hub for streamlined deployment (unclecode/crawl4ai).
- 🔧 **Selenium upgrade**: Removed dependency on ChromeDriver, now using Selenium's built-in capabilities for better compatibility.
- 🖼️ **Image description**: Implemented ability to generate textual descriptions for extracted images from web pages.
- ⚡ **Performance boost**: Various improvements to enhance overall speed and performance.
These changes fix typos in `chunking_strategy.py` and `crawler_strategy.py` to improve code readability. Additionally, the `.test_pads/` directory is removed from the `.gitignore` file to keep the repository clean and organized.
A slew of exciting updates to improve the crawler's stability and robustness! 🎉
- 💻 **UTF encoding fix**: Resolved the Windows \"charmap\" error by adding UTF encoding.
- 🛡️ **Error handling**: Implemented MaxRetryError exception handling in LocalSeleniumCrawlerStrategy.
- 🧹 **Input sanitization**: Improved input sanitization and handled encoding issues in LLMExtractionStrategy.
- 🚮 **Database cleanup**: Removed existing database file and initialized a new one.
• Refactored `crawler_strategy.py` to handle exceptions and improve error messages
• Improved `get_content_of_website_optimized` function in `utils.py` for better performance
• Updated `utils.py` with latest changes
• Migrated to `ChromeDriverManager` for resolving Chrome driver download issues
- Added six hooks: on_driver_created, before_get_url, after_get_url, before_return_html, on_user_agent_updated.
- Included example usage in quickstart.py.
- Updated README and changelog.
