Scrapy is a fast, open source, high-level framework for crawling websites and extracting structured data from these websites. Portable and written in Python, it can run on Windows, Linux, macOS and BSD.
Scrapy is powerful, fast and simple, and also easily extensible. Simply write the rules to extract the data, and add new functionality if you wish without having to touch the core. Scrapy does the rest, and can be used in a number of applications. It can be used for data mining, monitoring and automated testing.
Features
- Built-in support for the selection and extraction of data from HTML/XML sources through extended XPath expressions and CSS selectors, with helper methods for extracting using regular expressions
- Interactive shell console for using CSS and XPath expressions to scrape data
- Built-in support for generating feed exports in several different formats (JSON, XML, CSV) and their storage in various backends (S3, FTP, local filesystem)
- Support for encoding and auto-detection
- Strong extensibility support
- Plenty of built-in extensions and middlewares for cookies and session handling, robots.txt, crawl depth restriction and more
- Telnet console to hook into a Python console running inside your Scrapy process
- Reusable spiders, media pipeline, caching DNS resolver and more
Project Samples
License
BSD LicenseOther Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Scrapy!