# App Store & Google Play Reviews Scraper + AI Insights Report (`rt-solutions/appstore-reviews-ai`) Actor

App Store & Google Play reviews turned into an AI report: top complaints with real quotes, feature requests, bugs by version, sentiment, actions.

- **URL**: https://apify.com/rt-solutions/appstore-reviews-ai.md
- **Developed by:** [RT SOLUTIONS](https://apify.com/rt-solutions) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $390.00 / 1,000 ai reports

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Reviews Scraper + AI Insights — App Store & Google Play

Turn hundreds of **App Store and Google Play** reviews into a **clear, actionable report in 30 seconds**: what users complain about, what they love, which features they ask for, which bugs hit which version — **with real quotes**, never invented.

Built for **product managers, app developers, ASO specialists, agencies and investors** who need to understand an app (theirs or a competitor's) fast.

### What you get

For each app, store and country:

- 📊 **Statistics**: rating distribution, recent average vs. overall rating, rating by version, date range.
- 🔥 **Top complaints** with approximate share, severity and **verbatim quotes**.
- 💚 **Top praises**.
- 💡 **Feature requests** ranked by mentions.
- 🐞 **Bugs reported** and the versions they affect.
- 🧭 **Version insights** and **prioritized recommended actions**.
- 📝 Optionally, **every raw review** (rating, title, text, version, date, helpful votes).

Report language of your choice (English, French, Spanish, German…).

### Example (Notion, US, 500 recent reviews)

```json
{
  "statistics": { "reviewsAnalyzed": 500, "averageRecentRating": 3.14, "ratingDistribution": { "1": 149, "2": 63, "3": 51, "4": 44, "5": 193 } },
  "insights": {
    "summary": "Notion is a powerful and flexible productivity platform with strong appreciation from power users, but the app suffers from significant mobile performance issues…",
    "sentiment": { "positive": 38, "neutral": 16, "negative": 46 },
    "topComplaints": [
      { "theme": "Mobile app performance and freezing", "share": "~28%", "severity": "high",
        "examples": ["Every time I spend a while inside a note working with text, after about 10–15 minutes, Notion stops responding to taps"] },
      { "theme": "Forced AI features and invasive UI integration", "share": "~24%", "severity": "high",
        "examples": ["There's a big obtrusive AI search bar at the bottom that I'm always accidentally pressing"] }
    ],
    "featureRequests": [ { "request": "…", "mentions": 12 } ],
    "recommendedActions": [ "…" ]
  }
}
```

### How to use

1. Paste **App Store URLs** (or numeric IDs) and/or **Google Play URLs** (or package names like `com.duolingo`).
2. Choose **countries** (App Store: up to 500 recent reviews per country; Google Play: up to 2,000).
3. Keep **AI insights report** on, pick the report language.
4. Click **Start**. Export as JSON, CSV, Excel, or via API.

Compare competitors — or your own iOS vs Android app — in one run and read the reports side by side.

### Pricing

- **AI report: $0.39 per app, store and country**
- **Raw reviews: $0.10 per 1,000**
- No platform usage fees on top.

Example: your app + 3 competitors in the US = 4 reports = **$1.56**.

Free Apify plan: 1 AI report per run (trial, based on fewer reviews).

### Data sources

- **App Store**: Apple's official public customer reviews RSS feed and iTunes lookup API.
- **Google Play**: the public app page and the same public data endpoint the Google Play website uses to show reviews.

No login, no private data. Reviewer names are not collected.

### FAQ

**Why max 500 App Store reviews per country?** That's what Apple's public feed provides (most recent reviews). Google Play goes up to 2,000.

**Are quotes real?** Yes. The AI is instructed to copy quotes from the reviews; the raw reviews are included so you can verify.

**Which AI model?** Anthropic Claude (Haiku).

### Related scrapers

Other ready-to-use Actors by RT Solutions:

- [Google Ads Transparency Scraper](https://apify.com/rt-solutions/google-ads-transparency-scraper)
- [Google News Scraper](https://apify.com/rt-solutions/google-news-scraper)
- [Substack Scraper](https://apify.com/rt-solutions/substack-scraper)

# Actor input Schema

## `apps` (type: `array`):

Apple App Store URLs (https://apps.apple.com/us/app/name/id123456789) or numeric app IDs.

## `googlePlayApps` (type: `array`):

Google Play URLs (https://play.google.com/store/apps/details?id=com.example) or package names (com.example).

## `countries` (type: `array`):

Two-letter country codes (us, gb, fr, de…). App Store: up to 500 recent reviews per country. Google Play: up to 2,000.

## `maxReviewsPerCountry` (type: `integer`):

App Store max 500 (Apple's limit). Google Play up to 2,000.

## `aiReport` (type: `boolean`):

Generate an AI report per app, store and country: top complaints with real quotes, praises, feature requests, bugs by version, recommended actions.

## `reportLanguage` (type: `string`):

Language of the AI report (e.g. English, French, Spanish, German).

## `includeReviews` (type: `boolean`):

Also output every review (rating, title, text, version, date).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"
  ],
  "googlePlayApps": [],
  "countries": [
    "us"
  ],
  "maxReviewsPerCountry": 500,
  "aiReport": true,
  "reportLanguage": "English",
  "includeReviews": true
}
```

# Actor output Schema

## `reports` (type: `string`):

One AI insights report per app and country.

## `reviews` (type: `string`):

Raw App Store reviews.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rt-solutions/appstore-reviews-ai").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "apps": ["https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"] }

# Run the Actor and wait for it to finish
run = client.actor("rt-solutions/appstore-reviews-ai").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281"
  ]
}' |
apify call rt-solutions/appstore-reviews-ai --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rt-solutions/appstore-reviews-ai"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/R65zDQoBbwZSsQPnW/builds/D5fbfMiBnHLVxYl3d/openapi.json