# App Store Competitor Reviews, UK (WhatsApp vs Telegram)

**Use case:** 

Compare recent UK App Store reviews for two iOS apps side by side: stars, title, text and app version. No login.

## Input

```json
{
  "mode": "reviews",
  "apps": [
    "310633997",
    "686449807"
  ],
  "country": "gb",
  "sort": "newest",
  "maxReviews": 60,
  "maxChargeUsd": 0.1,
  "outputFormat": "standard"
}
```

## Output

```json
{
  "score": {
    "label": "Star rating",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Review text",
    "format": "string"
  },
  "dateIso": {
    "label": "Review date (ISO)",
    "format": "string"
  },
  "appId": {
    "label": "App id",
    "format": "string"
  },
  "appName": {
    "label": "App name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "userName": {
    "label": "Author name",
    "format": "string"
  },
  "version": {
    "label": "App version",
    "format": "string"
  },
  "type": {
    "label": "Row type",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The Apple App Store Reviews Scraper – iOS App Reviews API Actor is ready to run with the inputs already set for "App Store Competitor Reviews, UK (WhatsApp vs Telegram)". [Sign up or log in](https://console.apify.com/create-task-from-example/LG0KvrefhhQB2WeJp) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "App Store Competitor Reviews, UK (WhatsApp vs Telegram)" task

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

### 3. Receive the "App Store Competitor Reviews, UK (WhatsApp vs Telegram)" 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 star rating, title, review text, 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 Competitor Reviews, UK (WhatsApp vs Telegram)" task via API](https://apify.com/dheerajitbhu/apple-app-store-reviews.md).

## FAQ

### Can I compare several iOS apps?

Yes. Put several Apple ids or App Store URLs in apps; every row carries appId and appName.

### What does this example cost?

60 reviews is about $0.007: $0.001 to start plus $0.10 per 1,000 reviews.

### Why at most ~500 reviews per app?

Apple's public feed stops at about 500 recent reviews per app per country. Add countries to collect more.

### Works with AI agents?

Yes, via the Apify MCP server or API. Use outputFormat=compact for a token-lean copy.

## About this Actor

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