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Scrapy: Fast Web Scraping

Name: Scrapy: Fast Web Scraping
Author: scrapy

Extract web data with Scrapy, a Python framework for founders. 62k+ GitHub stars.

intermediate⏱ 30 minutes💵 Free

64,009 stars11,918 forksPythonHealth Score 8/10Updated 8/24/2026100% free · open source

What it is

Use Scrapy to automatically download and collect data from websites in Python.

What you can make with it

Automations like: when a new customer signs up on your Shopify website, scrape and save their details to a Notion database.

How it helps

It helps by quickly and effortlessly gathering data from websites without having to write complex code, which can save hours of manual effort.

Real use case example

"A solo developer needs to gather product information from Amazon to build a price comparison tool for their e-commerce site. They would set up a Scrapy project, write a Python script to crawl Amazon's website, and extract the required data. After running the script, they would be left with a CSV file containing the product details, which they could then use to build their price comparison tool."

If you're new

Beginners should pick up Scrapy after getting familiar with Python programming basics.

If you're senior

Senior engineers and developers will reach for Scrapy when they need a robust and fast way to collect data from websites for data analysis or automated workflows.

Common confusion cleared up

Scrapy is not a browser, it doesn't execute JavaScript and load pages like a real browser would, but rather sends HTTP requests directly to the website to scrape data.

Best inside these AI tools

Codex CLIContinueAny AI Client

Pairs with

Claude APIStripe webhook

Why we list it on WorkflowStacks: This marketplace of AI tools includes Scrapy because it's a free and open-source web scraping framework.

What it does

Scrapy is a Python framework that allows you to quickly and efficiently extract data from websites and web pages.

Install / run

pip install scrapy

When to use it

•When you need to collect and process large amounts of data from multiple websites
•When you want to monitor website changes and updates
•When you need to integrate web data into your application or service

Quick start

1Create a new Scrapy project using the command 'scrapy startproject projectname'
2Define a Spider in the 'items.py' file to specify the data you want to extract
3Write the Spider code in the 'spiders' directory, using the 'scrapy.Request' and 'scrapy.Item' classes
4Run the Spider using the command 'scrapy crawl spidername'
5Store the extracted data in a file or database using the 'scrapy feed' export options

Ready-to-paste prompt

scrapy crawl quotes -o quotes.json

Heads up: Make sure you have the correct version of Python installed, as Scrapy requires Python 3.6 or higher, and also be aware of the website's 'robots.txt' file and terms of service to avoid getting blocked or violating usage policies

Saves to your device

Topics

crawler

crawling

framework

hacktoberfest

python

scraping

web-scraping

web-scraping-python

How Scrapy: Fast Web Scraping works

Codeflow

Free to inspect

Scrapy: Fast Web Scraping is a large Python project (~29k lines across 184 code files, plus 297 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, BSD-3-Clause license, has a test suite.

Size

Large codebase

~29k lines · 184 code files · ~4 h to skim

Setup

One-command install

Installs like a normal app. Reading the code is optional.

Runs on

Python

No API keys detected

Python 100%

Where to start reading