
🕷️ 60,000+ GitHub stars. Maintained by Zyte with 500+ contributors. Scrapy is the de-facto standard for web scraping in Python.
What makes Scrapy so powerful?
Fast & Powerful: Define the rules to extract the data you need, and Scrapy does the rest. Asynchronous request handling, built-in processing pipelines and export.
Customizable: Build spiders in Python tailored to any site or data model. From simple scrapers to distributed crawlers.
Open Source: Maintained by a thriving community, used by millions of developers in production.
Basic workflow in 4 steps:
# 1. Create project
scrapy startproject myproject
# 2. Create spider
scrapy genspider myspider example.com
# 3. Run spider
scrapy crawl myspider
# 4. Export data
scrapy crawl myspider -o output.jsonScrapy Shell to prototype and debug extraction logic interactively before writing the spider.
Deployment: Zyte Scrapy Cloud for managed hosting, or Scrapyd for self-hosting.
💡 Explanation in a nutshell#
Scrapy solves web scraping at scale: it’s not just a requests + BeautifulSoup script, but a complete framework with middleware, pipelines, error handling, robots.txt compliance and rate limiting built-in. If you need to extract data from the web reliably and efficiently, Scrapy is the right starting point.
More information at the link 👇

