# Monitor recent low-star App Store feedback

**Use case:** 

Collect recent one- and two-star iOS feedback. Save review keys and supply them on the next run to exclude saved IDs. No reviewer identities. Listed events: $0.005 after a feed is read, including zero matches, plus $0.0003 per returned review. Run compute is included; post-run data access can incur platform fees.

## Input

```json
{
  "apps": [
    "324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 50,
  "sortBy": "mostRecent",
  "minRating": 1,
  "maxRating": 2,
  "sinceDate": "2026-10-09",
  "excludeReviewKeys": []
}
```

## Output

```json
{
  "appName": {
    "label": "App"
  },
  "country": {
    "label": "Country"
  },
  "rating": {
    "label": "Stars",
    "format": "number"
  },
  "title": {
    "label": "Title"
  },
  "content": {
    "label": "Review"
  },
  "appVersion": {
    "label": "App version"
  },
  "voteCount": {
    "label": "Votes",
    "format": "number"
  },
  "voteSum": {
    "label": "Helpful votes",
    "format": "number"
  },
  "date": {
    "label": "Date",
    "format": "date"
  },
  "reviewId": {
    "label": "Review ID"
  },
  "appId": {
    "label": "App ID"
  },
  "reviewUrl": {
    "label": "Reviews page",
    "format": "link"
  }
}
```

## How it works

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

The Apple App Store Reviews Scraper Actor is ready to run with the inputs already set for "Monitor recent low-star App Store feedback". [Sign up or log in](https://console.apify.com/create-task-from-example/oe2LwkerNCMYjLh4H) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Monitor recent low-star App Store feedback" task

The Apple App Store Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like apps, countries, and more, to match your specific use case.

### 3. Receive the "Monitor recent low-star App Store feedback" 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 app, country, stars, 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 "Monitor recent low-star App Store feedback" task via API](https://apify.com/datalantern/app-store-reviews.md).

## About this Actor

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