# Top fitness tracker apps on the App Store

**Use case:** 

Search the US App Store for fitness tracker apps: rating, price, developer and release info.

## Input

```json
{
  "mode": "search",
  "searchTerm": "fitness tracker",
  "searchTerms": [],
  "appIds": [],
  "bundleId": "",
  "developerId": "",
  "country": "us",
  "maxResults": 10,
  "includeReviews": false,
  "maxReviews": 20,
  "category": ""
}
```

## Output

```json
{
  "appId": {
    "label": "appId"
  },
  "bundleId": {
    "label": "bundleId"
  },
  "name": {
    "label": "name"
  },
  "developer": {
    "label": "developer"
  },
  "developerId": {
    "label": "developerId"
  },
  "developerUrl": {
    "label": "developerUrl"
  },
  "developerWebsite": {
    "label": "developerWebsite"
  },
  "price": {
    "label": "price"
  },
  "currency": {
    "label": "currency"
  },
  "formattedPrice": {
    "label": "formattedPrice"
  },
  "description": {
    "label": "description"
  },
  "rating": {
    "label": "rating"
  }
}
```

## How it works

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

The Apple App Store Scraper — App Metadata & ASO Data API Actor is ready to run with the inputs already set for "Top fitness tracker apps on the App Store". [Sign up or log in](https://console.apify.com/create-task-from-example/vLAIRtYUUu6jtbhI6) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Top fitness tracker apps on the App Store" task

The Apple App Store Scraper — App Metadata & ASO Data API Actor will start running based on the input automatically. You can also change all the input fields, like mode, search term, and more, to match your specific use case.

### 3. Receive the "Top fitness tracker apps on the App Store" 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 appid, bundleid, 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 "Top fitness tracker apps on the App Store" task via API](https://apify.com/nexgendata/apple-app-store-scraper.md).

## FAQ

### What does this task return?

One row per App Store app: name, developer, price, rating, rating count, version, release info and description.

### What does a run of this task cost?

$0.02 per app listing, plus a $0.005 start fee per run. This task is set to maxResults: 10, so a full run costs about $0.20.

### Can I change this task's input?

Yes. Change searchTerm to any app category, country or maxResults. Reviews can be turned on in the full actor.

## About this Actor

This example demonstrates how to use [Apple App Store Scraper — App Metadata & ASO Data API](https://apify.com/nexgendata/apple-app-store-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nexgendata/apple-app-store-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/nexgendata/apple-app-store-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`).