# Scrape App Store Reviews from an App Store URL

**Use case:** 

Paste the App Store page instead of the id: the digits after /id are read from the URL for you, and a URL and its id are the same app, harvested once per storefront. Two hundred newest reviews of one travel app with rating, title, text, version, date and developer response - exported as CSV, Excel or JSON, or from the API with format=csv. Cost: 200 review rows at $0.004 = at most $0.80 a run.

## Input

```json
{
  "appIds": [],
  "startUrls": [
    "https://apps.apple.com/us/app/airbnb/id401626263"
  ],
  "appNames": [],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 200,
  "sort": "most_recent",
  "minRating": 0,
  "maxRating": 0,
  "sinceDate": "",
  "requireText": false,
  "includeAppRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "app_name": {
    "label": "App name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "author": {
    "label": "Author",
    "format": "string"
  },
  "version": {
    "label": "Version",
    "format": "string"
  },
  "is_edited": {
    "label": "Is edited",
    "format": "boolean"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "developer_response": {
    "label": "Developer response",
    "format": "string"
  },
  "developer_response_date": {
    "label": "Developer response date",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

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