Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
Scrapy is a fast, open-source web crawling framework written in Python, used to extract the data from the web page with the help of selectors based on XPath. It is designed for web scraping but can also be used to extract data using APIs or as a general-purpose web crawler.
135K
4500 / day
150K
5000 / day
3.8 min
3.2 pages per visit
40%
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Domain Rating
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Domain Authority
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Citation Level
2008
English, etc
Website Key Features
Asynchronous
Scrapy is built on top of Twisted, an asynchronous networking framework, which allows for non-blocking (asynchronous) code execution.
Extensible
Scrapy is designed to be extensible, allowing developers to create their own extensions and middlewares.
Built-in Support
It has built-in support for extracting data from HTML/XML sources using CSS selectors and XPath expressions.
Feed Exports
Scrapy can export the scraped data in multiple formats, including JSON, CSV, and XML.
Robust Encoding Support
It automatically handles encoding issues, supporting UTF-8 by default but also capable of handling other encodings.
Interactive Shell
Scrapy comes with an interactive shell for testing XPath/CSS expressions and debugging scraping code.
Item Pipelines
After an item has been scraped, it can be processed through several item pipelines for tasks like validation, cleaning, and storing in databases.
Middleware Support
Scrapy supports both downloader and spider middlewares, allowing for custom processing of requests and responses.
Automatic Throttling
It can automatically throttle the crawling speed based on the load of the website being scraped.
Broad Crawl Support
Scrapy is capable of performing broad crawls, efficiently scraping large websites.
Similar Sites and Competitors
Additional information
License
Scrapy is released under the BSD license.
Community
Scrapy has a large and active community, contributing to its extensive documentation and a wide range of plugins and extensions.
Use Cases
Common use cases include data mining, information processing or historical archival, and monitoring and automated testing.
Performance
Scrapy is known for its high performance, capable of scraping and processing hundreds of pages per minute.
Integration
It can be easily integrated with other Python libraries and frameworks, such as Django for web development or Pandas for data analysis.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for scrapy.org