# Scrapy 2.14 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.

## Getting help

Having trouble? We’d like to help!

- Try the FAQ – it’s got answers to some common questions.

- Looking for specific information? Try the Index or Module Index.

- Ask or search questions in StackOverflow using the scrapy tag.

- Ask or search questions in the Scrapy subreddit.

- Search for questions on the archives of the scrapy-users mailing list.

- Ask a question in the #scrapy IRC channel,

- Report bugs with Scrapy in our issue tracker.

- Join the Discord community Scrapy Discord.

## First steps

Scrapy at a glance

  Understand what Scrapy is and how it can help you.

Installation guide

  Get Scrapy installed on your computer.

Scrapy Tutorial

  Write your first Scrapy project.

Examples

  Learn more by playing with a pre-made Scrapy project.

## Basic concepts

Command line tool

  Learn about the command-line tool used to manage your Scrapy project.

Spiders

  Write the rules to crawl your websites.

Selectors

  Extract the data from web pages using XPath.

Scrapy shell

  Test your extraction code in an interactive environment.

Items

  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.

Settings

  Learn how to configure Scrapy and see all available settings.

Exceptions

  See all available exceptions and their meaning.

## Built-in services

Logging

  Learn how to use Python’s built-in 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.

## 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.

Benchmarking

  Check how Scrapy performs on your hardware.

Jobs: pausing and resuming crawls

  Learn how to pause and resume crawls for large spiders.

Coroutines

  Use the coroutine syntax.

asyncio

  Use `asyncio` and `asyncio`-powered libraries.

## Extending Scrapy

Architecture overview

  Understand the Scrapy architecture.

Add-ons

  Enable and configure third-party extensions.

Downloader Middleware

  Customize how pages get requested and downloaded.

Spider Middleware

  Customize the input and output of your spiders.

Extensions

  Extend Scrapy with your custom functionality

Signals

  See all available signals and how to work with them.

Scheduler

  Understand the scheduler component.

Item Exporters

  Quickly export your scraped items to a file (XML, CSV, etc).

Download handlers

  Customize how requests are downloaded or add support for new URL schemes.

Components

  Learn the common API and some good practices when building custom Scrapy components.

Core API

  Use it on extensions and middlewares to extend Scrapy functionality.

## All the rest

Release notes

  See what has changed in recent Scrapy versions.

Contributing to Scrapy

  Learn how to contribute to the Scrapy project.

Versioning and API stability

  Understand Scrapy versioning and API stability.