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App Store & Google Play Reviews AI (via Apify)

@retracnMCP server · External

AI summary of App Store and Google Play reviews: bugs, feature requests and critical issues.

Freeno charge per call

One address for any MCP client. Your key stays in your Odel vault.

What it does

  1. Reads
  2. Writes
  3. High impact

Not assessed yet.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

What it asks for at sign-in

Access toReadChange
Full api accessNot stated: full_api_access

From the sign-in at console-backend.apify.com, as the endpoint publishes it. You approve it there.

Tools

None listed · checked 4 Oct 2026

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Try it in the Inspector
README4 min read

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

Run on Apify

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

json
{
  "appNames": [
    "Duolingo"
  ]
}

Run it from code

REST API

bash
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

python
# 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

js
// 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:

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.

More from AutomationNation


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.

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