# Competitor App Reviews: Three Dating Apps Compared

**Use case:** 

Three dating apps side by side in Google Play's own most-relevant order - the reviews the store itself surfaces first, the right sample for what users believe, not what happened this week. A hundred each with matching columns, plus a free app row per app with average rating and rating count. The apps view is the comp-set table. Cost: 300 review rows at $0.004 = at most $1.20 a run.

## Input

```json
{
  "appIds": [
    "com.tinder",
    "com.bumble.app",
    "co.hinge.app"
  ],
  "appUrls": [],
  "languages": [
    "en"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 100,
  "sort": "most_relevant",
  "minRating": 0,
  "maxRating": 0,
  "sinceDate": "",
  "requireText": false,
  "includeAppRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "app_id": {
    "label": "App id",
    "format": "string"
  },
  "app_name": {
    "label": "App name",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "developer": {
    "label": "Developer",
    "format": "string"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "content_rating": {
    "label": "Content rating",
    "format": "string"
  },
  "rating_avg": {
    "label": "Rating avg",
    "format": "number"
  },
  "rating_count": {
    "label": "Rating count",
    "format": "integer"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "reviews_fetched": {
    "label": "Reviews fetched",
    "format": "integer"
  },
  "app_url": {
    "label": "App url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Play Reviews Scraper — Android App Reviews & Ratings](https://apify.com/kestrel/google-play-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/google-play-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/google-play-reviews-scraper.md

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`).