Scrapy 2.5 documentation¶
Scrapy is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
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Try the FAQ – it’s got answers to some common questions.
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Search for questions on the archives of the scrapy-users mailing list.
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Report bugs with Scrapy in our issue tracker.
- Command line tool
Learn about the command-line tool used to manage your Scrapy project.
Write the rules to crawl your websites.
Extract the data from web pages using XPath.
- Scrapy shell
Test your extraction code in an interactive environment.
Define the data you want to scrape.
- Item Loaders
Populate your items with the extracted data.
- Item Pipeline
Post-process and store your scraped data.
- Feed exports
Output your scraped data using different formats and storages.
- Requests and Responses
Understand the classes used to represent HTTP requests and responses.
- Link Extractors
Convenient classes to extract links to follow from pages.
Learn how to configure Scrapy and see all available settings.
See all available exceptions and their meaning.
Learn how to use Python’s builtin logging on Scrapy.
- Stats Collection
Collect statistics about your scraping crawler.
- Sending e-mail
Send email notifications when certain events occur.
- Telnet Console
Inspect a running crawler using a built-in Python console.
- Web Service
Monitor and control a crawler using a web service.
Solving specific problems¶
- Frequently Asked Questions
Get answers to most frequently asked questions.
- Debugging Spiders
Learn how to debug common problems of your Scrapy spider.
- Spiders Contracts
Learn how to use contracts for testing your spiders.
- Common Practices
Get familiar with some Scrapy common practices.
- Broad Crawls
Tune Scrapy for crawling a lot domains in parallel.
- Using your browser’s Developer Tools for scraping
Learn how to scrape with your browser’s developer tools.
- Selecting dynamically-loaded content
Read webpage data that is loaded dynamically.
- Debugging memory leaks
Learn how to find and get rid of memory leaks in your crawler.
- Downloading and processing files and images
Download files and/or images associated with your scraped items.
- Deploying Spiders
Deploying your Scrapy spiders and run them in a remote server.
- AutoThrottle extension
Adjust crawl rate dynamically based on load.
Check how Scrapy performs on your hardware.
- Jobs: pausing and resuming crawls
Learn how to pause and resume crawls for large spiders.
Use the coroutine syntax.
- Architecture overview
Understand the Scrapy architecture.
- Downloader Middleware
Customize how pages get requested and downloaded.
- Spider Middleware
Customize the input and output of your spiders.
Extend Scrapy with your custom functionality
- Core API
Use it on extensions and middlewares to extend Scrapy functionality
See all available signals and how to work with them.
- Item Exporters
Quickly export your scraped items to a file (XML, CSV, etc).