# App Store & Google Play Reviews — Dual ASO Export (`noahadler/app-store-google-play-reviews`) Actor

Scrape Apple App Store and Google Play reviews in one Actor: rating, title, text, author, date and version. Unified JSON for ASO, sentiment and competitor monitoring. App id or store URL input — cheaper than separate scrapers.

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

## Pricing

from $1.50 / 1,000 reviews

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## App Store & Google Play Reviews Scraper — ASO Ratings API

**Dual-platform reviews API** for **Apple App Store** and **Google Play**: extract star ratings, review titles, body text, author, date and app version into one **unified JSON schema**.

Built for **ASO**, **sentiment analysis**, **release monitoring** and **competitor research** — scrape iOS and Android feedback in a single Actor run.

> **Coverage note:** Apple’s public reviews feed returns roughly the **most recent ~500 reviews per country** (platform limit). Google Play can return more via pagination. No App Store Connect / Play Console login required for reading public reviews.

**Why this Actor:** App Store + Google Play in one run · Unified fields · App ID or store URL · Country / language filters · Ready for CSV, Excel, webhooks and MCP

***

### Table of contents

1. [What this Actor does](#what-this-actor-does)
2. [What you get from every review](#what-you-get-from-every-review)
3. [Features](#features)
4. [Input](#input)
5. [Output example](#output-example)
6. [Output fields](#output-fields)
7. [Quick start (API)](#quick-start-api)
8. [Use cases](#use-cases)
9. [Who this is for](#who-this-is-for)
10. [Limitations](#limitations)
11. [FAQ](#faq)
12. [Keywords](#keywords)

***

### What this Actor does

| Step | Action |
|------|--------|
| 1 | Read **App Store** reviews via Apple’s public customer-reviews feed (JSON) |
| 2 | Read **Google Play** reviews for the same product (package / URL) |
| 3 | Normalize both into a shared schema (`platform`, `rating`, `content`, …) |
| 4 | Stop at `maxReviews` per app and push rows to the Dataset |

**Input:** Apple app id / App Store URL and/or Play package / Play URL.\
**Output:** one Dataset row per review (`platform`: `app_store` | `google_play`).

***

### What you get from every review

**Review content**

- Star rating (1–5)
- Title (App Store) + full review body
- Publication timestamp
- Optional developer reply (Google Play, when present)

**App context**

- App id / package name
- App version at review time (when available)
- Country / language storefront

**Attribution**

- Author display name
- Stable `reviewId` for deduplication
- Deep link / store URL when available

***

### Features

| Capability | Detail |
|------------|--------|
| **Dual store** | App Store + Google Play in one Actor |
| **Flexible input** | Numeric Apple id, `apps.apple.com` URL, Play package, or Play URL |
| **Unified schema** | Same JSON keys for both platforms → easier pipelines |
| **Country targeting** | Storefront code (`us`, `es`, `de`, `gb`, …) |
| **Sort options** | Most recent or most helpful / relevant |
| **Play star filter** | Optional keep only 1–5★ on Google Play |
| **No owner login** | Reads **public** reviews (not Connect / Console private APIs) |

***

### Input

| Field | Required | Description |
|-------|----------|-------------|
| `platform` | No | `both` (default), `app_store`, or `google_play` |
| `appStoreApps` | Cond. | Apple ids or App Store URLs |
| `googlePlayApps` | Cond. | Packages or Play URLs |
| `maxReviews` | No | Per app (default `100`; App Store RSS ~500 cap) |
| `country` | No | Storefront, default `us` |
| `language` | No | Play language, default `en` |
| `sortBy` | No | `mostRecent` | `mostHelpful` |
| `scoreFilter` | No | Play only: `1`–`5` |
| `proxyConfiguration` | No | Usually off; enable if rate-limited |

#### Example — Spotify on both stores

```json
{
  "platform": "both",
  "appStoreApps": ["324684580"],
  "googlePlayApps": ["com.spotify.music"],
  "maxReviews": 50,
  "country": "us",
  "language": "en",
  "sortBy": "mostRecent"
}
```

#### Example — Instagram App Store only (Spain)

```json
{
  "platform": "app_store",
  "appStoreApps": ["https://apps.apple.com/es/app/instagram/id389801252"],
  "maxReviews": 100,
  "country": "es"
}
```

***

### Output example

```json
{
  "recordType": "review",
  "platform": "app_store",
  "appId": "324684580",
  "reviewId": "12884999012",
  "rating": 5,
  "title": "Love it",
  "content": "Best music app for daily listening.",
  "author": "User123",
  "reviewedAt": "2026-09-01T12:00:00-07:00",
  "appVersion": "9.0.0",
  "country": "us",
  "scrapedAt": "2026-09-19T21:00:00.000Z"
}
```

***

### Output fields

| Field | Type | Notes |
|-------|------|--------|
| `platform` | string | `app_store` or `google_play` |
| `appId` | string | Apple id or Play package |
| `reviewId` | string | Dedupe key |
| `rating` | number | 1–5 |
| `title` | string|null | Stronger on App Store |
| `content` | string|null | Review body |
| `author` | string|null | Display name |
| `reviewedAt` | string|null | ISO when available |
| `appVersion` | string|null | Version at review time |
| `country` | string|null | Storefront |
| `language` | string|null | Play language |
| `thumbsUp` | number|null | Play helpful votes |
| `replyContent` / `replyAt` | string|null | Play developer reply |
| `url` | string|null | Store / review link |

***

### Quick start (API)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("YOUR_USERNAME/app-store-google-play-reviews").call(
    run_input={
        "platform": "both",
        "appStoreApps": ["389801252"],
        "googlePlayApps": ["com.instagram.android"],
        "maxReviews": 80,
        "country": "us",
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

Schedule the Actor in Apify Console to refresh ASO dashboards weekly, or chain a webhook into your warehouse / Slack.

***

### Use cases

- **ASO & product** — track rating shifts after each release
- **Sentiment / NLP** — feed review text into classifiers or LLMs
- **Competitor intel** — compare your app vs rivals on iOS and Android
- **Support ops** — surface recurring complaints by version
- **Market research** — sample voice-of-customer by country

***

### Who this is for

- Mobile PMs and ASO specialists
- Data / ML teams building review corpora
- Agencies monitoring client apps
- Founders validating category sentiment before launch

**Typical searches:** App Store reviews scraper · Google Play reviews API · ASO ratings export · iOS + Android reviews dataset

***

### Limitations

- App Store public feed ≈ **latest ~500 reviews / country** (Apple limit); empty pages can appear mid-range — we skip and dedupe.
- Not App Store Connect / Play Console: **no posting replies**, no private developer-only data.
- Play endpoints can change; keep the Actor updated.
- Respect Apple and Google Terms of Service; use for legitimate analytics.

***

### FAQ

**Do I need proxies?**\
Usually no. Enable Apify Proxy only if you hit rate limits.

**Can I scrape any app or only my own?**\
Public reviews for any app id / package (read-only).

**Why fewer than `maxReviews` on App Store?**\
Apple caps the public RSS window; try more countries for broader coverage.

**Are fields identical on both stores?**\
Same schema; some fields are store-specific (`title` richer on iOS, `thumbsUp` / replies on Play).

**Does this replace Connect / Console APIs?**\
No — complementary for public competitive / ASO reads.

***

### Keywords

app store reviews, google play reviews, app store scraper, play store ratings, ASO reviews API, ios reviews scraper, android reviews scraper, sentiment mobile apps, app store google play reviews api

# Actor input Schema

## `platform` (type: `string`):

Which store(s) to scrape.

## `appStoreApps` (type: `array`):

Apple numeric app id or apps.apple.com URL. Example: 324684580 or https://apps.apple.com/app/spotify/id324684580

## `googlePlayApps` (type: `array`):

Package name or Play Store URL. Example: com.spotify.music

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

Maximum reviews to return per app (1–2000). App Store RSS caps ~500 recent.

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

Two-letter country code (us, es, de, gb…).

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

Review language for Play (en, es, de…). Ignored for App Store RSS.

## `sortBy` (type: `string`):

mostRecent or mostHelpful (Play: newest / most relevant).

## `scoreFilter` (type: `integer`):

Optional 1–5 to keep only that star rating on Play.

## `proxyConfiguration` (type: `object`):

Usually not required. Enable Apify Proxy if you hit rate limits.

## Actor input object example

```json
{
  "platform": "both",
  "appStoreApps": [
    "324684580"
  ],
  "googlePlayApps": [
    "com.spotify.music"
  ],
  "maxReviews": 100,
  "country": "us",
  "language": "en",
  "sortBy": "mostRecent",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `reviews` (type: `string`):

User reviews from App Store and/or Google Play.

# 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 = {
    "appStoreApps": [
        "324684580"
    ],
    "googlePlayApps": [
        "com.spotify.music"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("noahadler/app-store-google-play-reviews").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 = {
    "appStoreApps": ["324684580"],
    "googlePlayApps": ["com.spotify.music"],
}

# Run the Actor and wait for it to finish
run = client.actor("noahadler/app-store-google-play-reviews").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 '{
  "appStoreApps": [
    "324684580"
  ],
  "googlePlayApps": [
    "com.spotify.music"
  ]
}' |
apify call noahadler/app-store-google-play-reviews --silent --output-dataset

```

## MCP server setup

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

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/IEJyL5pGyrRG99whb/builds/gIh6kEfBE9GJAklu3/openapi.json