The web scraping framework that turns Python into a data extraction powerhouse - 60K+ stars, enterprise-grade features, and it makes scraping feel like writing regular Python code.

Stop wrestling with requests and BeautifulSoup for complex scraping jobs. Scrapy handles the tedious stuff - concurrent requests, retry logic, cookie handling, middleware pipelines - so you can focus on extracting the data you actually need. It’s what happens when smart engineers get tired of reinventing the same scraping infrastructure.

Built for scale from day one, Scrapy processes thousands of pages concurrently while respecting robots.txt and rate limits. The framework includes built-in support for handling JavaScript, managing sessions, exporting to multiple formats, and even running distributed crawls. It’s not just a library - it’s a complete scraping ecosystem with debugging tools, stats collection, and extensible architecture.

Backed by Zyte (the commercial web scraping company) and battle-tested by data teams worldwide, this isn’t some weekend project. Whether you’re building a price monitoring system, research dataset, or competitive intelligence platform, Scrapy scales from prototype to production without rewriting your code.

⭐ Stars: 60897
💻 Language: Python
🔗 Repository: scrapy/scrapy