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

Scrape app reviews from Google Play and the Apple App Store in one run with a unified schema: rating, text, author, date, app version, helpful votes and developer replies. Your app or a competitor's. For product triage, ASO research and competitive analysis.

- **URL**: https://apify.com/moganes/app-reviews-scraper.md
- **Developed by:** [Marat Oganesyan](https://apify.com/moganes) (community)
- **Categories:** Business, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.30 / 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 Reviews Scraper — Google Play & App Store

**Both app stores, one run, one schema.** Point it at your app (or a competitor's) and get the reviews as clean, unified data: rating, text, author, date, app version, helpful votes, and developer replies.

No API keys. Live data at run time.

### Why this one

- **Two stores in a single actor** — most scrapers do one store; cross-store analysis usually means juggling two tools with different output shapes
- **Unified schema** — the same fields for both stores, ready for a spreadsheet, dashboard, or LLM pipeline
- **Developer replies included** (Google Play) — see which complaints got answered
- **Honest limits** — Apple's public feed exposes ~500 recent reviews per country (documented, not hidden); Google Play goes much deeper
- **Fail-soft** — one store failing doesn't kill the other's results

### Input

| Field | Description |
| --- | --- |
| **Google Play app** | Package id (`com.whatsapp`) or store URL — optional |
| **App Store app** | Numeric id (`310633997`) or store URL — optional |
| **Max reviews per store** | Default 200 |
| **Country** | 2-letter code, affects both stores |
| **Sort** | Google Play: newest / rating / helpfulness (Apple feed is always most-recent) |

### Output (per review)

```json
{
  "store": "google-play",
  "appId": "com.whatsapp",
  "rating": 2,
  "title": null,
  "text": "Latest update drains my battery…",
  "author": "Jane D",
  "date": "2026-08-11T14:32:05.000Z",
  "appVersion": "2.26.16.75",
  "thumbsUp": 41,
  "replyText": "Thanks for the report — a fix ships this week.",
  "replyDate": "2026-08-12T09:01:00.000Z"
}
```

### Who uses this

- **Product & support teams** — triage complaints by version, spot regressions after releases
- **ASO & marketing** — mine review language for store-listing copy
- **Competitor analysis** — what users hate about the alternatives
- **Researchers** — sentiment at scale across both ecosystems

### FAQ

**Where does the data come from?** Google Play's public store and Apple's official public customer-reviews feed.

**Monitoring on a schedule?** Attach to an Apify Schedule (e.g. daily, sorted newest) for a rolling feed of fresh reviews.

**Something broken?** Issues tab is monitored daily; fixes usually ship within 24 hours.

### Disclaimer

*This Actor is not affiliated with, endorsed by, or sponsored by Google LLC or Apple Inc. It collects only publicly available app reviews from the Google Play store and Apple's official public customer-reviews feed.*

# Actor input Schema

## `googlePlayAppId` (type: `string`):

Package id (e.g. "com.whatsapp") or a Google Play store URL. Leave empty to skip Google Play.

## `appStoreAppId` (type: `string`):

Numeric Apple app id (e.g. "310633997") or an App Store URL. Leave empty to skip the App Store.

## `maxReviewsPerStore` (type: `integer`):

Apple's public feed caps at ~500 recent reviews per country; Google Play can go much deeper.

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

2-letter country code for both stores (review language/region).

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

Google Play review order. Apple's public feed is always most-recent.

## Actor input object example

```json
{
  "googlePlayAppId": "com.whatsapp",
  "appStoreAppId": "310633997",
  "maxReviewsPerStore": 200,
  "country": "us",
  "sort": "newest"
}
```

# Actor output Schema

## `reviews` (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 = {
    "googlePlayAppId": "com.whatsapp",
    "appStoreAppId": "310633997"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moganes/app-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 = {
    "googlePlayAppId": "com.whatsapp",
    "appStoreAppId": "310633997",
}

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

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

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

```

## CLI example

```bash
echo '{
  "googlePlayAppId": "com.whatsapp",
  "appStoreAppId": "310633997"
}' |
apify call moganes/app-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moganes/app-reviews-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Y2WKQjaAZpKh1FOUL/builds/ciRNNn8U4ysI41SwQ/openapi.json