* feature: Add LlmConfig to easily configure and pass LLM configs to different strategies
* pulled in next branch and resolved conflicts
* feat: Add gemini and deepseek providers. Make ignore_cache in llm content filter to true by default to avoid confusions
* Refactor: Update LlmConfig in LLMExtractionStrategy class and deprecate old params
* updated tests, docs and readme
Implements a full-featured CLI for Crawl4AI with the following capabilities:
- Basic and advanced web crawling
- Configuration management via YAML/JSON files
- Multiple extraction strategies (CSS, XPath, LLM)
- Content filtering and optimization
- Interactive Q&A capabilities
- Various output formats
- Comprehensive documentation and examples
Also includes:
- Home directory setup for configuration and cache
- Environment variable support for API tokens
- Test suite for CLI functionality
- Add RelevantContentFilter to __init__.py exports
- Update version to 0.4.3b3
- Enhance type hints in async_configs.py
- Remove empty utils.scraping.py file
- Update mkdocs configuration with version info and GitHub integration
BREAKING CHANGE: None
Reorganize dispatcher functionality into separate components:
- Create dedicated dispatcher classes (MemoryAdaptive, Semaphore)
- Add RateLimiter for smart request throttling
- Implement CrawlerMonitor for real-time progress tracking
- Move dispatcher config from CrawlerRunConfig to separate classes
BREAKING CHANGE: Dispatcher configuration moved from CrawlerRunConfig to dedicated dispatcher classes. Users need to update their configuration approach for multi-URL crawling.
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
### 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.
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.
