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Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Fast, high-level Python framework for web crawling and scraping
Scrapy is a cross‑platform Python framework that enables developers to efficiently extract structured data from websites, supporting asynchronous crawling, extensible pipelines, and robust handling of complex sites.
Scrapy is a mature, high‑level framework written in Python for extracting structured data from websites. It abstracts the complexities of handling HTTP requests, following links, and parsing content, allowing developers to focus on the data they need. The library works on Windows, macOS, and Linux and requires Python 3.9 or newer.
Built on the asynchronous Twisted engine, Scrapy can issue thousands of concurrent requests while respecting site‑specific throttling rules. Its extensible architecture includes middleware, pipelines, and selectors (XPath or CSS) that can be customized for authentication, proxy rotation, data cleaning, and storage. Projects can be run locally via the scrapy crawl command, integrated into CI pipelines, or deployed to cloud services such as Scrapy Cloud for managed scaling. Comprehensive documentation and a large contributor community make it suitable for both small‑scale scripts and enterprise‑grade crawling operations.
When teams consider Scrapy, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
E‑commerce price monitoring
Automated daily extraction of product prices across competitor sites, feeding a pricing dashboard.
News aggregation
Crawls multiple news outlets, extracts headlines and article bodies, and stores them in a searchable index.
Real‑estate data collection
Harvests property listings, images, and location data for market analysis.
Academic research data gathering
Collects large corpora of web pages for natural‑language processing experiments.
Scrapy requires Python 3.9 or newer and is compatible with all later 3.x releases.
Scrapy provides item pipelines that can write to databases, files, or external services; the choice depends on your project.
Scrapy itself does not execute JavaScript, but it can be combined with tools like Splash or Playwright for rendered content.
It uses Twisted's asynchronous networking engine, allowing many concurrent requests with minimal overhead.
Yes, you can run Scrapy from cron, use the built‑in `scrapy crawl` command, or integrate with tools like Scrapy Cloud for managed scheduling.
Project at a glance
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