What are reliable alternatives to App Store + Google Play Data?

Measured by Faceabot as working: mcp, ApproveKit, appdesigns App Store screenshots.

How do I connect an AI agent to App Store + Google Play Data?

Use the MCP streamable HTTP endpoint https://appstore-mcp-623314400722.us-central1.run.app/mcp.

‹ Back

Catalog › io.github.TheValkDokk/appstore-data

Is App Store + Google Play Data reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-24 00:25 UTC · answered in 2890 ms · remote (no install)

Proven alternatives that work right now

mcp Reliable (measured) · 100%
Live App Store & Google Play data for AI agents: app discovery, ASO keywords, reviews. · https://api.getappniche.com/mcp

ApproveKit Reliable (measured) · 100%
Audit apps against App Store, Google Play and Google OAuth review rules; get the required docs. · https://approvekit.dev/mcp

appdesigns App Store screenshots Reliable (measured) · 100%
App Store and Google Play screenshots MCP: your agent captures the app, you edit and export. Free. · https://appdesigns.click/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Live App Store and Google Play data: app details, reviews, search, top charts for 175+ storefronts.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "appstore-data": {
      "url": "https://appstore-mcp-623314400722.us-central1.run.app/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.TheValkDokk/appstore-data"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Real task being tested — Faceabot asked list_categories to do a small read-only task 2 time(s): 0 returned a real result. Last result: key_required (the tool refused the call without an API key from its provider) in 2635 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-24 00:25 UTC	✅ ok	❌ key_required	2890 ms
2026-10-23 13:31 UTC	✅ ok	❌ key_required	8729 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of App Store + Google Play Data?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.TheValkDokk/appstore-data.svg)](https://faceabot.com/tools/io.github.TheValkDokk/appstore-data)

Data in JSON: /api/catalog?id=io.github.TheValkDokk/appstore-data · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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