# Export Apple App Store reviews

**Use case:** 

Collect recent Apple App Store customer reviews, ratings, and app metadata for any app as normalized dataset rows.

## Input

```json
{
  "appStoreUrls": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "appStoreIds": [
    "389801252"
  ],
  "googlePlayUrls": [
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ],
  "countries": [
    "us"
  ],
  "languages": [
    "en"
  ],
  "maxReviewsPerApp": 100,
  "reviewSort": "newest",
  "sinceDate": "2026-01-01",
  "includeSummaries": true,
  "includeReviewText": true,
  "requestsPerSecond": 2
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "appId": {
    "label": "App ID",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "appName": {
    "label": "App name",
    "format": "string"
  },
  "developer": {
    "label": "Developer",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "sentiment": {
    "label": "Sentiment",
    "format": "string"
  },
  "reviewDate": {
    "label": "Review date",
    "format": "string"
  },
  "reviewTitle": {
    "label": "Review title",
    "format": "string"
  },
  "reviewText": {
    "label": "Review text",
    "format": "string"
  },
  "averageRating": {
    "label": "Average rating",
    "format": "number"
  },
  "ratingCount": {
    "label": "Rating count",
    "format": "integer"
  },
  "reviewCount": {
    "label": "Review count",
    "format": "integer"
  },
  "storeUrl": {
    "label": "Store URL",
    "format": "string"
  },
  "error.code": {
    "label": "Error code",
    "format": "string"
  },
  "error.message": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Mobile App Review Intelligence API](https://apify.com/dobus/mobile-app-review-intelligence-api) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dobus/mobile-app-review-intelligence-api) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dobus/mobile-app-review-intelligence-api.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
