# Collect US App Store reviews for an iOS app

**Use case:** 

Collect up to 10 public Facebook app reviews from the US Apple App Store. Get ratings, review text, dates, and app versions when available. Replace the URL or storefront to research another app or market.

## Input

```json
{
  "appUrl": "https://apps.apple.com/us/app/facebook/id284882215",
  "maxReviews": 10,
  "country": "us",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "reviewId": {
    "label": "Review ID",
    "format": "string"
  },
  "appId": {
    "label": "App ID",
    "format": "string"
  },
  "appName": {
    "label": "App Name",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Review",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  }
}
```

## 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 "Collect US App Store reviews for an iOS app". [Sign up or log in](https://console.apify.com/create-task-from-example/YRc3XZLKtDFGi7NXJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Collect US App Store reviews for an iOS app" 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 app store url, max reviews, and more, to match your specific use case.

### 3. Receive the "Collect US App Store reviews for an iOS 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 review id, app id, app name, 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 US App Store reviews for an iOS app" task via API](https://apify.com/fetchcraftlabs/apple-appstore-reviews-scraper.md).

## FAQ

### How do I collect reviews for a different iOS app?

Replace the example with the full Apple App Store URL for the app. Set Max Reviews to the number you want to collect and choose the storefront country code. The example uses the US storefront and a limit of 10.

### Which storefront determines the Apple App Store reviews?

The Country field selects the Apple App Store storefront and overrides the country in the app URL. For example, use us for the United States or gb for the United Kingdom.

### What fields are returned for each App Store review?

The Apple App Store reviews task saves one record per review with a star rating, title, review text, author, and date when available. The underlying dataset can also include the app version.

## About this Actor

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