commit 2def6524cdacb69c72760bf55a41089257c0bb07 Author: ntohidi <nasrin@kidocode.com> Date: Mon Aug 4 18:59:10 2025 +0800 refactor: consolidate WebScrapingStrategy to use LXML implementation only BREAKING CHANGE: None - full backward compatibility maintained This commit simplifies the content scraping architecture by removing the redundant BeautifulSoup-based WebScrapingStrategy implementation and making it an alias for LXMLWebScrapingStrategy. Changes: - Remove ~1000 lines of BeautifulSoup-based WebScrapingStrategy code - Make WebScrapingStrategy an alias for LXMLWebScrapingStrategy - Update LXMLWebScrapingStrategy to inherit directly from ContentScrapingStrategy - Add required methods (scrap, ascrap, process_element, _log) to LXMLWebScrapingStrategy - Maintain 100% backward compatibility - existing code continues to work Code changes: - crawl4ai/content_scraping_strategy.py: Remove WebScrapingStrategy class, add alias - crawl4ai/async_configs.py: Remove WebScrapingStrategy from imports - crawl4ai/__init__.py: Update imports to show alias relationship - crawl4ai/types.py: Update type definitions - crawl4ai/legacy/web_crawler.py: Update import to use alias - tests/async/test_content_scraper_strategy.py: Update to use LXMLWebScrapingStrategy - docs/examples/scraping_strategies_performance.py: Update to use single strategy Documentation updates: - docs/md_v2/core/content-selection.md: Update scraping modes section - docs/md_v2/migration/webscraping-strategy-migration.md: Add migration guide - CHANGELOG.md: Document the refactoring under [Unreleased] Benefits: - 10-20x faster HTML parsing for large documents - Reduced memory usage and simplified codebase - Consistent parsing behavior - No migration required for existing users All existing code using WebScrapingStrategy continues to work without modification, while benefiting from LXML's superior performance.
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WebScrapingStrategy Migration Guide
Overview
Crawl4AI has simplified its content scraping architecture. The BeautifulSoup-based WebScrapingStrategy has been deprecated in favor of the faster LXML-based implementation. However, no action is required - your existing code will continue to work.
What Changed?
WebScrapingStrategyis now an alias forLXMLWebScrapingStrategy- The BeautifulSoup implementation has been removed (~1000 lines of redundant code)
LXMLWebScrapingStrategyinherits directly fromContentScrapingStrategy- Performance remains optimal with LXML as the sole implementation
Backward Compatibility
Your existing code continues to work without any changes:
# This still works perfectly
from crawl4ai import AsyncWebCrawler, CrawlerRunConfig, WebScrapingStrategy
config = CrawlerRunConfig(
scraping_strategy=WebScrapingStrategy() # Works as before
)
Migration Options
You have three options:
Option 1: Do Nothing (Recommended)
Your code will continue to work. WebScrapingStrategy is permanently aliased to LXMLWebScrapingStrategy.
Option 2: Update Imports (Optional)
For clarity, you can update your imports:
# Old (still works)
from crawl4ai import WebScrapingStrategy
strategy = WebScrapingStrategy()
# New (more explicit)
from crawl4ai import LXMLWebScrapingStrategy
strategy = LXMLWebScrapingStrategy()
Option 3: Use Default Configuration
Since LXMLWebScrapingStrategy is the default, you can omit the strategy parameter:
# Simplest approach - uses LXMLWebScrapingStrategy by default
config = CrawlerRunConfig()
Type Hints
If you use type hints, both work:
from crawl4ai import WebScrapingStrategy, LXMLWebScrapingStrategy
def process_with_strategy(strategy: WebScrapingStrategy) -> None:
# Works with both WebScrapingStrategy and LXMLWebScrapingStrategy
pass
# Both are valid
process_with_strategy(WebScrapingStrategy())
process_with_strategy(LXMLWebScrapingStrategy())
Subclassing
If you've subclassed WebScrapingStrategy, it continues to work:
class MyCustomStrategy(WebScrapingStrategy):
def __init__(self):
super().__init__()
# Your custom code
Performance Benefits
By consolidating to LXML:
- 10-20x faster HTML parsing for large documents
- Lower memory usage
- Consistent behavior across all use cases
- Simplified maintenance and bug fixes
Summary
This change simplifies Crawl4AI's internals while maintaining 100% backward compatibility. Your existing code continues to work, and you get better performance automatically.