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devtools

Scrapy: Fast Web Scraping

Extract web data with Scrapy, a Python framework for founders. 62k+ GitHub stars.
intermediateโฑ 30 minutes๐Ÿ’ต Free
62,113 stars11,617 forksPythonQuality 8/10Updated 6/5/2026100% free ยท 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
  • โ€ขWhen you need to collect and process large amounts of data from multiple websites
  • โ€ขWhen you want to monitor website changes and updates
  • โ€ขWhen you need to integrate web data into your application or service
Quick start
  1. 1Create a new Scrapy project using the command 'scrapy startproject projectname'
  2. 2Define a Spider in the 'items.py' file to specify the data you want to extract
  3. 3Write the Spider code in the 'spiders' directory, using the 'scrapy.Request' and 'scrapy.Item' classes
  4. 4Run the Spider using the command 'scrapy crawl spidername'
  5. 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
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

18
top-level files
7
folders
30.1M
repo size
BSD-3-Clause
license
Key files
.pre-commit-config.yaml
README.rst
File tree
.github/
docs/
extras/
scrapy/
sep/
tests/
tests_typing/
.git-blame-ignore-revs
.gitattributes
.gitignore
.pre-commit-config.yaml
.readthedocs.yml
AUTHORS
CITATION.cff
CODE_OF_CONDUCT.md
codecov.yml
conftest.py
CONTRIBUTING.md
INSTALL.md
LICENSE
NEWS
pyproject.toml
README.rst
SECURITY.md
Quick Actions
Details
Creator
scrapy
Language
Python
Category
devtools
Published
2/22/2010

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