Make websites accessible for AI agents with easy browser automation.
Web Scraping in Python
8 projects in HTTP & Scraping. Most starred: browser-use, scrapling and crawl4ai.
Scrapy is a complete crawling framework: spiders, scheduling, throttling, retries, item pipelines and export to files or databases. It is the best fit for large crawls of server-rendered HTML. Pages that build their content with JavaScript need a real browser instead. Browser Use and Stagehand put a language model in charge of a browser so you can describe what to extract instead of writing selectors, and Crawl4AI crawls pages and returns clean, LLM-ready Markdown. Scrapling focuses on resilience, with selectors that can relocate elements after a site's layout changes.
Frameworks5
An open-source, LLM-friendly web crawler that provides lightning-fast, structured data extraction specifically designed for AI agents.
A fast and token-efficient browser automation SDK to extract data and perform self-healing actions on web pages.
An adaptive scraping framework whose selectors relocate elements after page changes, with stealth fetchers and spiders.
Content Extraction3
A tool for gathering text and metadata from the web, with built-in content filtering.