# Google Play Review Analyzer for Android Releases

**Use case:** 

Analyze Google Play reviews to find repeated complaints, compare observed Android versions, and export a traceable release-risk report.

## Input

```json
{
  "appUrls": [
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ],
  "countries": [
    "us"
  ],
  "language": "en",
  "daysBack": 30,
  "maxReviewsPerAppCountry": 300,
  "focusRatings": [
    "1",
    "2",
    "3"
  ],
  "minReviewsForRegression": 5,
  "mode": "snapshot",
  "stateKey": "",
  "includeRawReviews": false,
  "maxEvidencePerIssue": 3
}
```

## Output

```json
{
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "appName": {
    "label": "App name",
    "format": "string"
  },
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "currentVersion": {
    "label": "Current version",
    "format": "string"
  },
  "reviewsAnalyzed": {
    "label": "Reviews analyzed",
    "format": "integer"
  },
  "issueReviewCount": {
    "label": "Issue review count",
    "format": "integer"
  },
  "newReviewCount": {
    "label": "New review count",
    "format": "integer"
  },
  "negativeRate": {
    "label": "Negative rate",
    "format": "number"
  },
  "topIssues": {
    "label": "Top issues",
    "format": "array"
  },
  "analyzedAt": {
    "label": "Analyzed at",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [BugChorus — App Review Analyzer & Release Monitor](https://apify.com/reviewsignal/app-review-bug-detector) with a specific input configuration. Visit the [Actor detail page](https://apify.com/reviewsignal/app-review-bug-detector) to learn more, explore other use cases, and run it yourself.


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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/reviewsignal/app-review-bug-detector.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
