# Collect 1–2 star App Store reviews of a competitor app

**Use case:** 

Collect the newest 1- and 2-star App Store reviews of a competitor's iPhone app (example: Spotify) to find complaints, bugs and feature gaps. Reviewer names are left out by default.

## Input

```json
{
  "apps": [
    "324684580"
  ],
  "appsPerSearch": 5,
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 100,
  "sort": "most_recent",
  "minStars": 1,
  "maxStars": 2,
  "includeAppDetails": true,
  "includeReviewerNames": false
}
```

## Output

```json
{
  "type": {
    "label": "Type"
  },
  "appId": {
    "label": "App id"
  },
  "country": {
    "label": "Country"
  },
  "score": {
    "label": "Score"
  },
  "title": {
    "label": "Title"
  },
  "content": {
    "label": "Content"
  },
  "appVersion": {
    "label": "App version"
  },
  "at": {
    "label": "At"
  },
  "trackName": {
    "label": "Track name"
  },
  "averageUserRating": {
    "label": "Average user rating"
  }
}
```

## How it works

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

The App Store Reviews & App Data Scraper (iOS) Actor is ready to run with the inputs already set for "Collect 1–2 star App Store reviews of a competitor app". [Sign up or log in](https://console.apify.com/create-task-from-example/dmuPihU1CQM9cRc03) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Collect 1–2 star App Store reviews of a competitor app" task

The App Store Reviews & App Data Scraper (iOS) Actor will start running based on the input automatically. You can also change all the input fields, like apps, apps per search term, and more, to match your specific use case.

### 3. Receive the "Collect 1–2 star App Store reviews of a competitor app" 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 type, app id, country, 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 "Collect 1–2 star App Store reviews of a competitor app" task via API](https://apify.com/fjordlabs/app-store-reviews.md).

## FAQ

### What information does this task collect from competitor app reviews?

Each review row has the star score, review title, text, app version and date. App detail rows add the app name and its average user rating.

### What is the purpose of collecting 1- and 2-star reviews of a competitor app?

The purpose is to identify complaints, bugs, and feature gaps within the competitor app by analyzing negative user feedback.

### Can this task filter reviews by country?

Yes, the task can collect reviews across multiple countries as specified in the input.

### What output fields are included in the results of this task?

Output fields include type, app ID, country, score, title, content, app version, date of review, and average user rating.

### Is the reviewer name included in the output?

No. Reviewer names are off by default, to keep you GDPR-friendly.

### How are the reviews sorted in the results?

The reviews are sorted by the most recent entries based on the specified configuration.

### How many reviews can this task collect for an app?

This task is set to 100 reviews per app. Apple's public feed shows up to 500 recent reviews per app and country, so you can raise it to 500 or add more countries.

## About this Actor

This example demonstrates how to use [App Store Reviews & App Data Scraper (iOS)](https://apify.com/fjordlabs/app-store-reviews.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fjordlabs/app-store-reviews.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/fjordlabs/app-store-reviews.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`).