Apify Store API MCP Server

Apify Store API MCP Server

Enables querying the Apify Store to retrieve structured data on public Actors including pricing, usage trends, ratings, and categories. Integrates with AI agents for market research and competitor tracking.

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README

๐Ÿ›’ Apify Store API: commercial intelligence on every Apify Store Actor

Extract pricing, usage trends, reliability, ratings, and categories for every public Actor in the Apify Store, as clean structured JSON.

  • Actor landing page: https://apify.com/johnvc/store-actor-intelligence-api?fpr=9n7kx3
  • Get a free API key: https://apify.com?fpr=9n7kx3

This API reads the Apify Store and returns one row per Actor with the data that actually matters for analysis: the pricing model and per-event price ladder, total and 7/30/90-day active users, total runs and builds, a 30-day success rate, bookmark counts, and review ratings, plus the title, developer, categories, and description. Filter by keyword, category, pricing model, or developer, or sweep the entire Store in a single run. Built for market research, competitor tracking, pricing analysis, and AI agents.

๐ŸŽฌ Video Walkthrough

Watch the walkthrough

๐Ÿš€ Quick Start (Python + uv)

Prerequisites: Python 3.11+ and a free Apify API key (https://apify.com?fpr=9n7kx3).

# 1. Install uv if you do not have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# 2. Clone and enter the repo
git clone https://github.com/johnisanerd/Apify-Store-API.git
cd Apify-Store-API

# 3. Install dependencies
uv sync

# 4. Add your API key
cp .env.example .env        # then paste your APIFY_API_TOKEN

# 5. Run the example
uv run python store-api-example.py

โœจ Why use this API

  • The whole catalog, structured. One run returns every public Store Actor as JSON, no manual copying from listing pages.
  • Real commercial signals. Pricing model, per-event prices, total and monthly users, run volume, and a computed 30-day success rate, all in one row.
  • Filter or sweep. Narrow by keyword, category, pricing model, or developer, or set maxItems: 0 to pull the entire Store.
  • Track changes over time. Run it on a schedule to watch pricing moves, new entrants, and reliability trends across the marketplace.
  • MCP-ready. Hand it to Claude, Cursor, or ChatGPT as a live tool (see the install sections below).
  • Cheapest in its class. Pay-per-result pricing with no per-run fee, so even a full-catalog sweep costs very little. See the current price on the Store card.

๐Ÿงช Usage Examples

Basic (top Actors in one category):

{
  "category": "AI",
  "sortBy": "popularity",
  "maxItems": 25
}

Advanced (free social-media Actors, with full README and input schema for each):

{
  "search": "instagram",
  "category": "SOCIAL_MEDIA",
  "pricingModel": "FREE",
  "sortBy": "popularity",
  "maxItems": 10,
  "includeDetails": true
}

โš™๏ธ Input Parameters

Parameter Type Required Default Description
search string No (none) Keyword filter across title, name, description, developer, and README.
category enum No (all) One of 25 Store categories: AI, AGENTS, AUTOMATION, BUSINESS, DEVELOPER_TOOLS, ECOMMERCE, LEAD_GENERATION, MARKETING, NEWS, SEO_TOOLS, SOCIAL_MEDIA, TRAVEL, REAL_ESTATE, JOBS, EDUCATION, GAMES, VIDEOS, SPORTS, INTEGRATIONS, MCP_SERVERS, OPEN_SOURCE, FOR_CREATORS, COVID_19, DEVELOPER_EXAMPLES, OTHER.
pricingModel enum No (all) FREE, FLAT_PRICE_PER_MONTH, PRICE_PER_DATASET_ITEM, or PAY_PER_EVENT.
username string No (all) Filter to one developer handle (e.g. apify).
sortBy enum No relevance relevance, popularity, newest, or lastUpdate.
maxItems integer No 1000 Maximum Actors to return. Set to 0 for the entire Store (~33,000+).
offset integer No 0 Skip this many Actors first (resume or shard a large run).
includeDetails boolean No false Also pull each Actor's full README and input schema (1-2 extra calls per Actor).

๐Ÿ“ฆ Output Format

Each dataset item is one Store Actor. Representative row:

{
  "result_type": "actor",
  "actorId": "aYG0l9s7dbB7j3gbS",
  "name": "website-content-crawler",
  "username": "apify",
  "title": "Website Content Crawler",
  "url": "https://apify.com/apify/website-content-crawler",
  "categories": ["AI", "DEVELOPER_TOOLS", "BUSINESS"],
  "totalUsers": 21786,
  "monthlyUsers": 3355,
  "totalUsers7Days": 1307,
  "totalUsers90Days": 7260,
  "totalRuns": 4894213,
  "totalBuilds": 202,
  "runs30DaysTotal": 511458,
  "runs30DaysSucceeded": 496871,
  "successRate30Days": 97.15,
  "bookmarkCount": 491,
  "reviewRating": 4.8,
  "pricingModel": "FREE",
  "apifyMarginPercentage": 0.2,
  "scrapedAt": "2026-06-29T18:00:00+00:00"
}

With includeDetails: true, each row also carries readme, inputSchema, seoTitle, seoDescription, isDeprecated, and latestVersion.

Install in Claude Cowork Desktop

Install in Claude Cowork Desktop

Cowork is the desktop app's automation mode. To give it the Apify Store API as a tool, add the Apify MCP server as a connector.

  1. Open the Claude desktop app and go to Settings โ†’ Connectors (or Settings โ†’ Developer โ†’ Edit Config to edit claude_desktop_config.json directly).
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add the Apify MCP server, preloaded with only this Actor:
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api"
      ]
    }
  }
}
  1. Restart the app. When Cowork first calls the tool, complete the OAuth prompt in your browser, or add your Apify API token in the connector settings to skip OAuth.
  2. In a Cowork chat, confirm the tool is available and ask it to run the Apify Store API.

Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop

Install in Claude Code

Install in Claude Code

Claude Code is the command-line tool. Add the Actor's MCP server with one command:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api"

To use a token instead of browser OAuth:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api" \
  --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the Apify Store API.

Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp

Install in Claude (website)

Install in Claude (website)

On claude.ai you add Apify as a connector, then enable just this Actor's tool.

  1. Go to Settings โ†’ Connectors โ†’ Browse connectors and search for Apify MCP server. Install it (enable or update if prompted).
  2. When connecting, authenticate with your Apify API token, and enable the tool johnvc/store-actor-intelligence-api.
  3. In any chat, open + โ†’ Connectors and turn on Apify.
  4. Alternatively, choose Add custom connector and paste the full MCP URL https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api, using OAuth when prompted.
  5. Ask Claude to run the Apify Store API.

Open Claude on the web: https://claude.ai

Install in Cursor

Install in Cursor

Cursor reads MCP servers from a project file at .cursor/mcp.json.

  1. In your project, create .cursor/mcp.json:
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api"
    }
  }
}
  1. If you prefer token auth over browser OAuth, add a header:
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}
  1. Open Cursor โ†’ Settings โ†’ MCP and confirm the apify server is connected (green dot).
  2. In Composer or Chat, ask Cursor to call the Apify Store API.

New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

Install in ChatGPT

Install in ChatGPT

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).

  1. Click your profile icon, then go to Settings > Apps. If you do not see a Create app button, open Advanced settings and enable Developer mode.
  2. Click Create app and fill out the form:
    • Name: Apify
    • MCP Server URL: https://mcp.apify.com/?tools=actors,docs,johnvc/store-actor-intelligence-api
    • Authentication: OAuth
  3. Click Create and authorize the connection with Apify.
  4. To use the app in a conversation, click + in the chat, choose Developer mode, and select Apify.

More help: https://docs.apify.com/platform/integrations/mcp


Made with care by johnvc on Apify.

Last Updated: 2026.06.29

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