App Store & Google Play Reviews AI (via Apify)

io.github.retracnv1.0.0Updated Oct 3, 2026

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

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Overview

AI-generated overview

Scrapes App Store and Google Play reviews for an app and returns an AI report of bugs, feature requests and critical issues.

What it does
This remote MCP server exposes an Apify actor that collects the newest App Store and Google Play reviews for apps you name, by app name, store link or ID, across several App Store countries. It returns one report per app per store: rating statistics, star distribution, ratings per app version, top bugs, feature requests, critical issues, competitor mentions and up to 500 raw reviews per app per store. A only-new-reviews mode supports recurring monitoring.
When to use it
Use it when you want an assistant to summarize user feedback for one or more mobile apps, spot bad releases from per-version ratings, or track new bugs and feature requests over time. It fits product, support and market research tasks rather than general web search.
Requirements
A remote MCP endpoint at mcp.apify.com; no local runtime is needed. It requires an Apify API token sent in the Authorization header as a Bearer token, and a free Apify account. The underlying actor is billed per app report.
Before you install
The Authorization header carries your Apify API token, a billable credential; keep it secret. Runs cost $0.05 per app report ($0.04 on Gold), and only successful AI reports are charged, so repeated or broad app lists can spend money. Review data is fetched from Apple and Google through Apify and processed by the actor's AI analysis, so app names and links are sent to third parties.

Installation

In SourceWeft

  1. Open App Store & Google Play Reviews AI (via Apify) in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "app-reviews-ai": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=automationnation/app-store-review-miner"
    }
  }
}

README

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-clientfrom 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-clientimport { 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.

Source: README.md at commit 11da4bc

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Version history

1
  1. v1.0.0LatestOct 3, 2026