devtools

Scrapegraph-ai: AI-driven web scraping

Name: Scrapegraph-ai: AI-driven web scraping
Author: ScrapeGraphAI

Extract web data with Scrapegraph-ai, a Python scraper.

intermediate⏱ 30 minutes💵 Free (self-hosted)

28,659 stars2,791 forksPythonGuide quality 9/10Updated 7/20/2026100% free · open source

What it is

Use Scrapegraph AI to pull data from websites and pages with AI-driven scraping.

Real use case example

"A founder wants to find new suppliers for her e-commerce business. She can use ScrapeGraph AI to quickly pull product data from Amazon and other websites, saving hours of manual data entry and giving her valuable market insights. She can then integrate the scrapped data with her own sales platform and supplier relationships, giving her a competitive edge in the market."

Best insideClaude DesktopCursor

When to use it

•When you need to extract specific data from a website that has a complex structure
•When you want to automate the process of monitoring website changes or updates
•When you need to gather data from multiple websites with similar structures

Ready-to-paste prompt

python scrapegraph_ai.py -u https://www.example.com -d title,description -o output.json

Heads up: Make sure you have Python 3.8 or later installed, as Scrapegraph-ai is not compatible with earlier versions

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/scrapegraph-ai && curl -fsSL https://workflowstacks.com/api/skills/scrapegraph-ai/claude-skill -o ~/.claude/skills/scrapegraph-ai/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Scrapegraph-ai: AI-driven web scraping works

Codeflow

Free to inspect

Scrapegraph-ai: AI-driven web scraping is a large Python project (~17k lines across 210 code files, plus 55 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~17k lines · 210 code files · ~2 h to skim

Setup

One-command install

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

Runs on

Python · Docker

No API keys detected

Python 100%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
pyproject.toml
Dependencies and the commands it exposes
4
scrapegraphai/__init__.py
Inside scrapegraphai/ — the main logic begins here
5
examples/ScrapegraphAI_cookbook.ipynb
A worked example — copy this to get going

What's in each folder

scrapegraphai/Core code — the actual logic139 files

examples/Examples you can copy114 files

docs/Documentation32 files

PullRequests/Folder1 files

tests/Tests — proof it works71 files

.github/CI / automation (GitHub Actions)8 files

media/Images & static assets1 files

READMEHas testsDocumentedCI checksDocker readyExamples includedMIT licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/scrapegraph-ai && curl -fsSL https://workflowstacks.com/api/skills/scrapegraph-ai/claude-skill -o ~/.claude/skills/scrapegraph-ai/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

ScrapeGraphAI

Language

Python