# AI Teardown of an App's App Store Reviews

**Use case:** 

Turn an app's App Store and Google Play reviews into an AI teardown — strengths, weaknesses, top complaints, and feature requests.

## Input

```json
{
  "apps": [
    "Notion"
  ],
  "maxReviews": 100,
  "country": "us",
  "compareApps": true,
  "compareToPrevious": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "app_name": {
    "label": "App name",
    "format": "string"
  },
  "overall_rating": {
    "label": "Rating",
    "format": "number"
  },
  "review_count_analyzed": {
    "label": "Reviews analyzed",
    "format": "integer"
  },
  "teardown.sentiment_score": {
    "label": "Sentiment",
    "format": "number"
  },
  "sources": {
    "label": "Sources",
    "format": "array"
  },
  "emerging_complaints": {
    "label": "Emerging complaints",
    "format": "array"
  },
  "source_url": {
    "label": "Store URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [App Review Teardown & Insights (AI)](https://apify.com/fried_calamaries/reviews-insight-mcp) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fried_calamaries/reviews-insight-mcp) to learn more, explore other use cases, and run it yourself.