Add shared_data parameter to CrawlerRunConfig to allow data sharing between hooks.
Implement browser context reuse based on config signatures to improve memory usage.
Fix Firefox/Webkit channel settings.
Add config parameter to hook callbacks for better context access.
Remove debug print statements.
BREAKING CHANGE: Hook callback signatures now include config parameter
Add new streaming capability to the MemoryAdaptiveDispatcher and AsyncWebCrawler
to allow processing URLs with real-time result streaming. This enables
processing results as they become available rather than waiting for all
URLs to complete.
Key changes:
- Add run_urls_stream method to MemoryAdaptiveDispatcher
- Update AsyncWebCrawler.arun_many to support streaming mode
- Add result queue for better result handling
- Improve type hints and documentation
BREAKING CHANGE: The return type of arun_many now depends on the 'stream'
parameter, returning either List[CrawlResult] or AsyncGenerator[CrawlResult, None]
Add new LLMContentFilter class that uses LLMs to generate high-quality markdown content:
- Implement intelligent content filtering with customizable instructions
- Add chunk processing for handling large documents
- Support parallel processing of content chunks
- Include caching mechanism for filtered results
- Add usage tracking and statistics
- Update documentation with examples and use cases
Also includes minor changes:
- Disable Pydantic warnings in __init__.py
- Add new prompt template for content filtering
Make fields in MediaItem and Link models optional with default values to prevent validation errors when data is incomplete. Also expose BaseDispatcher in __init__ and fix markdown field handling in database manager.
BREAKING CHANGE: MediaItem and Link model fields are now optional with default values which may affect existing code expecting required fields.
