App Store Google Play Reviews Ai MCP Server

App Store and Google Play reviews with an AI report of bugs and feature requests

App Store & Google Play Reviews Scraper + AI is an Apify Actor that scrapes the newest App Store and Google Play reviews for any app and turns them into an AI report of top bugs, feature requests and critical issues.

Price: $0.05 per app report ($0.04 on Gold) · Run it: https://apify.com/automationnation/app-store-review-miner · Guide: https://retracn.github.io/automationnation-actors/app-store-review-miner/

Quick facts

• One report per app per store: rating statistics, star distribution, ratings per app version, top bugs, feature requests, critical issues, competitor mentions and the raw reviews (up to 500 per app per store).
• Input app names, App Store or Google Play links, or IDs; several App Store countries at once.
• Price: $0.05 per app report ($0.04 on Gold); only successful AI reports are charged.
• Only-new-reviews mode for weekly monitoring.

Example input

{
  "appNames": [
    "Duolingo"
  ]
}

Run it from code

REST API

curl -X POST "https://api.apify.com/v2/acts/automationnation~app-store-review-miner/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appNames": ["Duolingo"]}'

Python — see examples/python_example.py

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("automationnation/app-store-review-miner").call(run_input={
  "appNames": [
    "Duolingo"
  ]
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("appName"), item.get("platform"), item.get("avgRating"), item.get("topBugsList"))

JavaScript — see examples/node_example.mjs

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('automationnation/app-store-review-miner').call({
  "appNames": [
    "Duolingo"
  ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) console.log(item.appName, item.platform, item.avgRating, item.topBugsList);

Use it with AI agents (MCP)

Hosted MCP server URL (Claude, ChatGPT, Cursor and other clients with remote MCP support):

https://mcp.apify.com?tools=automationnation/app-store-review-miner

Local config for Claude Desktop / Cursor — mcp/claude_desktop_config.json:

{
  "mcpServers": {
    "app-store-review-miner": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "automationnation/app-store-review-miner"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

FAQ

How do I scrape App Store and Google Play reviews? Give App Store & Google Play Reviews Scraper + AI on Apify app names, store links or IDs. It collects the newest reviews from both stores (up to 500 per app per store) and returns them with an AI summary of bugs, feature requests and critical issues.

How can I analyse app reviews with AI? App Store & Google Play Reviews Scraper + AI runs one AI analysis per app over the newest reviews and returns structured lists of bugs, feature requests and critical issues, plus ratings per app version to spot bad releases.

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This repository holds usage examples. The scraper itself runs on the Apify platform; you need a free Apify account and API token. Examples are MIT licensed.