Scrapling: Fast, Adaptive Web Scraping for Python
Scrapling: Lightning-Fast, Adaptive Web Scraping for Python
Scrapling is a high-performance, intelligent web scraping library for Python that automatically adapts to website changes while significantly outperforming popular alternatives. Whether you’re a beginner or an expert, Scrapling provides powerful features while maintaining simplicity.
Key Features
Adaptive Scraping
- ? Smart Element Tracking: Locate previously identified elements after website structure changes, using an intelligent similarity system and integrated storage.
- ? Flexible Querying: Use CSS selectors, XPath, text search, or regex – chain them however you want!
- ? Find Similar Elements: Automatically locate elements similar to the element you want on the page (Ex: other products like the product you found on the page).
- ? Smart Content Scraping: Extract data from multiple websites without specific selectors using its powerful features.
Performance
- ? Lightning Fast: Built from the ground up with performance in mind, outperforming most popular Python scraping libraries (outperforming BeautifulSoup by up to 237x in our tests).
- ? Memory Efficient: Optimized data structures for minimal memory footprint.
- ⚡ Fast JSON serialization: 10x faster JSON serialization than the standard json library with more options.
Developing Experience
- ?️ Powerful Navigation API: Traverse the DOM tree easily in all directions and get the info you want (parent, ancestors, sibling, children, next/previous element, and more).
- ? Rich Text Processing: All strings have built-in methods for regex matching, cleaning, and more. All elements’ attributes are read-only dictionaries that are faster than standard dictionaries with added methods.
- ? Automatic Selector Generation: Create robust CSS/XPath selectors for any element.
- ? Scrapy-Compatible API: Familiar methods and similar pseudo-elements for Scrapy users.
- ? Type hints: Complete type coverage for better IDE support and fewer bugs.
