This commit includes several updates to the crawl4ai package, including changes to the browser manager and content scraping strategy. The version number has been updated to 0.7.1. Significant modifications have been made to the documentation, including updates to the release notes for version 0.7.0 and the addition of release notes for version 0.7.1. Examples and core documentation have also been updated to reflect the changes in this version. Additionally, a new simple API test has been added to the Docker tests.
These changes were made to improve the functionality of the crawl4ai package and to provide clearer, more up-to-date documentation for users. The new test will help ensure the API is working as expected.
BREAKING CHANGE: The updates to the browser manager and content scraping strategy may affect how these components interact with the rest of the package. Users should review the updated documentation for details on these changes.
This change removes the link_extractor module and renames it to link_preview, streamlining the codebase. The removal of 395 lines of code reduces complexity and improves maintainability. Other files have been updated to reflect this change, ensuring consistency across the project.
BREAKING CHANGE: The link_extractor module has been deleted and replaced with link_preview. Update imports accordingly.
Squashed commit from feature/link-extractor branch implementing comprehensive link analysis:
- Extract HTML head content from discovered links with parallel processing
- Three-layer scoring: Intrinsic (URL quality), Contextual (BM25), and Total scores
- New LinkExtractionConfig class for type-safe configuration
- Pattern-based filtering for internal/external links
- Comprehensive documentation and examples
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
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.
Reorganize documentation into core/advanced/extraction sections for better navigation.
Update terminal theme styles and add rich library for better CLI output.
Remove redundant tutorial files and consolidate content into core sections.
Add personal story to index page for project context.
BREAKING CHANGE: Documentation structure has been significantly reorganized
