# App Store & Google Play Reviews Scraper (`datamule/app-store-reviews-scraper`) Actor

Scrape customer reviews from the Apple App Store and Google Play — ratings, text, author, version, date — for any app. Pay per review.

- **URL**: https://apify.com/datamule/app-store-reviews-scraper.md
- **Developed by:** [Datamule](https://apify.com/datamule) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.40 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## App Store & Google Play Reviews Scraper

Scrape customer reviews from the **Apple App Store** and **Google Play** — ratings, review
text, author, app version, and date — for any app, in any country storefront. Pay per review.

### What it does

Give it one or more apps (by ID or store URL) and it returns their reviews as clean,
structured records. Useful for:

- **App developers & PMs** — monitor sentiment, catch regressions after a release, track ratings by version.
- **ASO / marketing agencies** — watch client and competitor reviews at scale.
- **Researchers & analysts** — sentiment analysis, feature-request mining, market research.

### Input

| Field | Description |
|---|---|
| `apps` | List of app IDs or store URLs. App Store: `324684580` or `https://apps.apple.com/us/app/spotify/id324684580`. Google Play: `com.spotify.music` or its Play URL. |
| `store` | `app_store` or `google_play`. |
| `country` | Two-letter storefront code (`us`, `gb`, `sg`, `de`…). Reviews are country-specific. |
| `language` | Two-letter language (Google Play only). |
| `sort` | `recent` or `helpful`. |
| `maxReviews` | Max reviews per app (App Store caps ~500; Google Play higher). |

### Output

One record per review:

```json
{
  "store": "app_store",
  "appId": "324684580",
  "country": "us",
  "reviewId": "...",
  "author": "jane_doe",
  "rating": 5,
  "title": "Love it",
  "text": "Works great, but…",
  "appVersion": "9.1.60",
  "voteSum": "3",
  "updated": "2026-07-04T12:00:00-07:00"
}
```

### Data sources

- **Apple:** the public iTunes RSS customer-reviews feed (stable JSON, no login).
- **Google Play:** the maintained [`google-play-scraper`](https://pypi.org/project/google-play-scraper/)
  library, which tracks Google's review endpoint so results stay reliable.

### Pricing

Pay-per-event: you're charged per **review** returned. No subscription — you only pay for
what you pull.

***

*Built with the Apify SDK for Python. Runs serverless on the Apify platform.*

# Actor input Schema

## `apps` (type: `array`):

App IDs or store URLs. For the App Store: a numeric ID (e.g. 324684580) or a URL like https://apps.apple.com/us/app/spotify/id324684580. For Google Play: a package name (e.g. com.spotify.music) or its Play URL.

## `store` (type: `string`):

Which store to scrape.

## `country` (type: `string`):

Two-letter country/storefront code (e.g. us, gb, sg, de). Reviews are country-specific.

## `language` (type: `string`):

Two-letter language code for Google Play reviews (e.g. en, de, fr). Ignored for the App Store.

## `sort` (type: `string`):

Order reviews by most recent or most helpful/relevant.

## `maxReviews` (type: `integer`):

Maximum number of reviews to fetch per app. The App Store caps at ~500 (10 pages); Google Play can go higher.

## Actor input object example

```json
{
  "apps": [
    "324684580"
  ],
  "store": "app_store",
  "country": "us",
  "language": "en",
  "sort": "recent",
  "maxReviews": 200
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "apps": [
        "324684580"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datamule/app-store-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "apps": ["324684580"] }

# Run the Actor and wait for it to finish
run = client.actor("datamule/app-store-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "apps": [
    "324684580"
  ]
}' |
apify call datamule/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=datamule/app-store-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/qnr3J2peT6aHOM1iX/builds/08qbs9uq2mpfnlFZx/openapi.json