# App Store reviews: ChatGPT, Gemini and Claude apps

**Use case:** 

Pull the latest 100 US App Store reviews for ChatGPT, Google Gemini and Claude, plus each app's rating, rating count, version and release notes. One table you can open in Excel or feed to a dashboard. Swap in any app IDs, App Store URLs or bundle IDs and any countries to track your own competitors.

## Input

```json
{
  "apps": [
    "6448311069",
    "6477489729",
    "6473753684"
  ],
  "countries": [
    "us"
  ],
  "includeReviews": true,
  "reviewSort": "mostrecent",
  "maxReviewsPerApp": 100,
  "onlyNewReviews": false,
  "monitorName": "default",
  "includeAppDetails": true,
  "searchTerms": [],
  "searchLimit": 50,
  "maxRetries": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "appName": {
    "label": "App name"
  },
  "appId": {
    "label": "App id"
  },
  "country": {
    "label": "Country"
  },
  "rating": {
    "label": "Rating"
  },
  "title": {
    "label": "Title"
  },
  "text": {
    "label": "Text"
  },
  "version": {
    "label": "Version"
  },
  "authorName": {
    "label": "Author name"
  },
  "date": {
    "label": "Date",
    "format": "date"
  },
  "voteSum": {
    "label": "Vote sum"
  },
  "voteCount": {
    "label": "Vote count"
  },
  "reviewId": {
    "label": "Review id"
  },
  "url": {
    "label": "Reviews page",
    "format": "link"
  }
}
```

## How it works

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

The Apple App Store Scraper: App Store Reviews, iOS Ratings, Search Actor is ready to run with the inputs already set for "App Store reviews: ChatGPT, Gemini and Claude apps". [Sign up or log in](https://console.apify.com/create-task-from-example/iPPofhTg9xTqTceqa) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "App Store reviews: ChatGPT, Gemini and Claude apps" task

The Apple App Store Scraper: App Store Reviews, iOS Ratings, Search Actor will start running based on the input automatically. You can also change all the input fields, like apps (id, app store url or bundle id), countries (app store storefronts), and more, to match your specific use case.

### 3. Receive the "App Store reviews: ChatGPT, Gemini and Claude apps" 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 name, 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 "App Store reviews: ChatGPT, Gemini and Claude apps" task via API](https://apify.com/ctriolab/appstore-scraper.md).

## About this Actor

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