# App Review Analysis Dataset: 600 Written Reviews

**Use case:** 

Six hundred newest reviews of one social app that actually say something, star-only ratings dropped before billing: the text is the input, the rating is the label, and app_version, thumbs_up and review_day are the covariates - enough to tie a sentiment shift to a release, or to weight by how many users endorsed a complaint. English only. Cost: 600 review rows at $0.004 = at most $2.40 a run.

## Input

```json
{
  "appIds": [
    "com.instagram.android"
  ],
  "appUrls": [],
  "languages": [
    "en"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 600,
  "sort": "most_recent",
  "minRating": 0,
  "maxRating": 0,
  "sinceDate": "",
  "requireText": true,
  "includeAppRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "review_id": {
    "label": "Review id",
    "format": "string"
  },
  "app_id": {
    "label": "App id",
    "format": "string"
  },
  "app_name": {
    "label": "App name",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "thumbs_up": {
    "label": "Thumbs up",
    "format": "integer"
  },
  "app_version": {
    "label": "App version",
    "format": "string"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "reply_text": {
    "label": "Reply text",
    "format": "string"
  },
  "reply_date": {
    "label": "Reply date",
    "format": "string"
  },
  "url": {
    "label": "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`).