# App Store reviews by iOS bundle ID (com.spotify.client)

**Use case:** 

The newest US App Store reviews of apps you know by their iOS bundle ID (here Spotify com.spotify.client and Calm com.calm.calmapp): rating, title, text, date, app version and developer reply, with bundleId on every row so you can join it to your own data. The lookup is free. $0.09 per 1,000 reviews on the free plan.

## Input

```json
{
  "apps": [
    "com.spotify.client",
    "com.calm.calmapp"
  ],
  "countries": [
    "us"
  ],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 100,
  "onlyNew": false,
  "monitorId": "default",
  "dottedIdStore": "app_store"
}
```

## Output

```json
{
  "store": {
    "label": "Store",
    "format": "string"
  },
  "appId": {
    "label": "App ID",
    "format": "string"
  },
  "bundleId": {
    "label": "Bundle ID",
    "format": "string"
  },
  "appName": {
    "label": "App",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title"
  },
  "text": {
    "label": "Review",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "appVersion": {
    "label": "App version",
    "format": "string"
  },
  "developerReply": {
    "label": "Developer reply"
  },
  "developerReplyDate": {
    "label": "Reply date"
  },
  "thumbsUp": {
    "label": "Helpful votes",
    "format": "number"
  },
  "isEdited": {
    "label": "Edited"
  },
  "reviewUrl": {
    "label": "Link",
    "format": "string"
  },
  "error": {
    "label": "Note",
    "format": "string"
  }
}
```

## How it works

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

The App Reviews API: Google Play Reviews + App Store Reviews Actor is ready to run with the inputs already set for "App Store reviews by iOS bundle ID (com.spotify.client)". [Sign up or log in](https://console.apify.com/create-task-from-example/NsCrneZTFLujuZ4hN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "App Store reviews by iOS bundle ID (com.spotify.client)" task

The App Reviews API: Google Play Reviews + App Store Reviews 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 "App Store reviews by iOS bundle ID (com.spotify.client)" 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 store, app id, bundle id, 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 "App Store reviews by iOS bundle ID (com.spotify.client)" task via API](https://apify.com/hiver/app-reviews-scraper.md).

## About this Actor

This example demonstrates how to use [App Reviews API: Google Play Reviews + App Store Reviews](https://apify.com/hiver/app-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hiver/app-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/hiver/app-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`).