# Analyze 1-Star Google Play Reviews

**Use case:** 

Collect recent one-star Google Play reviews for an Android app. This Spotify example gives product and support teams written complaints to investigate for bugs, friction, and missing features.

## Input

```json
{
  "app": "com.spotify.music",
  "language": "en",
  "country": "us",
  "sortBy": "newest",
  "maxReviews": 100,
  "starRating": 1
}
```

## Output

```json
{
  "reviewId": {
    "label": "Review id",
    "format": "string"
  },
  "appId": {
    "label": "App id",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "reviewerName": {
    "label": "Reviewer name",
    "format": "string"
  },
  "thumbsUp": {
    "label": "Helpful votes",
    "format": "integer"
  },
  "appVersion": {
    "label": "App version",
    "format": "string"
  },
  "developerReplyText": {
    "label": "Developer reply text",
    "format": "string"
  },
  "reviewUrl": {
    "label": "Review",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Play Review Scraper \[FAST\] | Multi-App Ratings & Replies Actor is ready to run with the inputs already set for "Analyze 1-Star Google Play Reviews". [Sign up or log in](https://console.apify.com/create-task-from-example/nYGuv8l7jKejiZuGL) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Analyze 1-Star Google Play Reviews" task

The Google Play Review Scraper \[FAST\] | Multi-App Ratings & Replies Actor will start running based on the input automatically. You can also change all the input fields, like app url or package id, review language, and more, to match your specific use case.

### 3. Receive the "Analyze 1-Star Google Play Reviews" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as review id, app id, rating, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Analyze 1-Star Google Play Reviews" task via API](https://apify.com/apizy/google-play-reviews-scraper.md).

## About this Actor

This example demonstrates how to use [Google Play Review Scraper [FAST] | Multi-App Ratings & Replies](https://apify.com/apizy/google-play-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/apizy/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/apizy/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`).