# Scrape app reviews from the Indian storefront

**Use case:** 

Scrape app reviews from the Indian Play Store storefront for Flipkart.
This task scrapes com.flipkart.android with country in and English
language, exporting review text, ratings, dates, app versions, and
developer replies to analyze feedback from India's mobile-first user base.
$1 per 1,000 reviews.

## Input

```json
{
  "appIds": [
    "com.flipkart.android"
  ],
  "startUrls": [
    {
      "url": "https://play.google.com/store/apps/details?id=com.easybrain.arrow.puzzle.game"
    }
  ],
  "maxItems": 200,
  "sort": "NEWEST",
  "language": "en",
  "country": "in",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "userImage": {
    "label": "Avatar",
    "format": "image"
  },
  "userName": {
    "label": "Reviewer",
    "format": "text"
  },
  "score": {
    "label": "Rating",
    "format": "number"
  },
  "content": {
    "label": "Review",
    "format": "text"
  },
  "thumbsUpCount": {
    "label": "Thumbs up",
    "format": "number"
  },
  "at": {
    "label": "Date",
    "format": "date"
  },
  "appVersion": {
    "label": "App version",
    "format": "text"
  },
  "replyContent": {
    "label": "Developer reply",
    "format": "text"
  },
  "repliedAt": {
    "label": "Reply date",
    "format": "date"
  },
  "appId": {
    "label": "App ID",
    "format": "text"
  },
  "appUrl": {
    "label": "App URL",
    "format": "link"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "reviewUrl": {
    "label": "Review URL",
    "format": "link"
  }
}
```

## About this Actor

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