* fix: Update export of URLPatternFilter
* chore: Add dependancy for cchardet in requirements
* docs: Update example for deep crawl in release note for v0.5
* Docs: update the example for memory dispatcher
* docs: updated example for crawl strategies
* Refactor: Removed wrapping in if __name__==main block since this is a markdown file.
* chore: removed cchardet from dependancy list, since unclecode is planning to remove it
* docs: updated the example for proxy rotation to a working example
* feat: Introduced ProxyConfig param
* Add tutorial for deep crawl & update contributor list for bug fixes in feb alpha-1
* chore: update and test new dependancies
* feat:Make PyPDF2 a conditional dependancy
* updated tutorial and release note for v0.5
* docs: update docs for deep crawl, and fix a typo in docker-deployment markdown filename
* refactor: 1. Deprecate markdown_v2 2. Make markdown backward compatible to behave as a string when needed. 3. Fix LlmConfig usage in cli 4. Deprecate markdown_v2 in cli 5. Update AsyncWebCrawler for changes in CrawlResult
* fix: Bug in serialisation of markdown in acache_url
* Refactor: Added deprecation errors for fit_html and fit_markdown directly on markdown. Now access them via markdown
* fix: remove deprecated markdown_v2 from docker
* Refactor: remove deprecated fit_markdown and fit_html from result
* refactor: fix cache retrieval for markdown as a string
* chore: update all docs, examples and tests with deprecation announcements for markdown_v2, fit_html, fit_markdown
* 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
- 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.
- Added markdown generator parameter to CrawlerRunConfig in `async_configs.py`.
- Implemented logic for Markdown generation in content scraping in `async_webcrawler.py`.
- Updated version number to 0.4.21 in `__version__.py`.
- 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.
### 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.
- 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.
- Enhanced error handling in async crawler.
- Added flexible options in Markdown generation.
- Updated user agent settings for improved reliability.
- Reflected changes in documentation and examples.
- 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 a post-installation setup script for initialization.
- Updated README with installation notes for Playwright setup.
- Enhanced migration logging for better error visibility.
- Added 'pydantic' to requirements.
- Bumped version to 0.3.746.
chore(requirements): add colorama dependency
refactor(config): add SHOW_DEPRECATION_WARNINGS flag and clean up code
fix(docs): update example scripts for clarity and consistency
- 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
