mcp-server

Apify MCP Server: Extract Data

Name: Apify MCP Server: Extract Data
Author: apify

Extract website data with Apify MCP Server. For founders needing AI-powered scraping and automation.

intermediate⏱ 30 minutes💵 Free tier + paid plans

7,904 stars281 forksTypeScriptGuide quality 8/10 · reviewed Jun 5Updated 9/21/2026100% free · open source

What it is

Extract data from websites using Apify's ready-made tools.

Real use case example

"A founder wants to track product reviews on Amazon. First, they set up an Apify MCP Server to extract product data from Amazon. Then, they configure the tool to crawl specific product pages. Finally, they receive a JSON file with the collected review data, easily integrating it into their analytics dashboard."

When to use it

•Building AI agents that need real-time web data for market research
•Creating automation tools that require extracting information from multiple websites
•Developing intelligent systems that need current, dynamic web content

Ready-to-paste prompt

const scraper = apify.crawler.social('twitter', { keywords: 'startup trends', maxResults: 100 })

Saves to your device

Use with Claude

New

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

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/apify-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/apify-mcp-server/claude-skill -o ~/.claude/skills/apify-mcp-server/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 Apify MCP Server: Extract Data works

Codeflow

Free to inspect

Apify MCP Server: Extract Data is a large TypeScript project (~29k lines across 165 code files, plus 128 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~29k lines · 165 code files · ~4 h to skim

Setup

Light setup

Runs with Docker — add your API keys to .env.

Runs on

Node.js · Docker

Needs API keys (.env)

TypeScript 99%

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
manifest.json
Where the program starts running
4
package.json
Dependencies and the commands it exposes
5
.env.example
The API keys and settings you must provide

What's in each folder

src/Core code — the actual logic150 files

docs/Documentation9 files

evals/Evaluations & benchmarks28 files

scripts/Helper scripts6 files

res/Folder4 files

tests/Tests — proof it works131 files

.github/CI / automation (GitHub Actions)21 files

.claude/Editor / agent settings5 files

READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month

Use with Claude

New

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

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/apify-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/apify-mcp-server/claude-skill -o ~/.claude/skills/apify-mcp-server/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

apify

Language

TypeScript