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

Scrape app reviews and ratings from the Apple App Store and Google Play: review text, rating, date, app version and app metadata. App review scraper for iOS and Android app feedback analysis.

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

## Pricing

from $0.04 / 1,000 app reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Reviews Scraper - iOS & Google Play Reviews

Scrapes app reviews and ratings from Apple App Store and Google Play Store. Returns review text, ratings, dates, pseudonymized authors, and app metadata as flat JSON records.

### What it does

- **Apple App Store**: Fetches reviews via the iTunes RSS feed and app metadata via the iTunes lookup API. Supports pagination across up to 10 pages (50 reviews per page).
- **Google Play Store**: Fetches the Play Store page and parses reviews and app metadata from the HTML.

Each review is emitted as a flat JSON record with the review content, rating, author (pseudonymized for GDPR), app version, and app-level metadata such as overall rating and total review count.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `appId` | string | required | App ID or URL. Apple: numeric ID or App Store URL. Google Play: package name or Play Store URL. |
| `store` | enum | `apple` | `apple` or `google` |
| `maxReviews` | integer | 50 | Maximum reviews to return (1-500) |
| `country` | string | `us` | Country code for Apple App Store (e.g., us, gb, fr, de) |

### Output

Each dataset item contains:

| Field | Description |
|-------|-------------|
| `appName` | Application name |
| `store` | `apple` or `google` |
| `reviewText` | Full review text |
| `reviewTitle` | Review title (Apple only) |
| `rating` | Star rating (1-5) |
| `date` | Review date (ISO format for Apple, display format for Google) |
| `author` | Pseudonymized author name |
| `version` | App version reviewed |
| `helpfulCount` | Number of helpful votes |
| `appRating` | Overall app rating |
| `totalReviews` | Total number of ratings |
| `category` | App category |
| `appPrice` | App price |
| `developer` | Developer name |
| `appId` | Numeric ID (Apple) or package name (Google) |
| `appUrl` | Direct link to the app listing |
| `scrapedAt` | ISO timestamp of when the data was collected |

### Pricing

Pay-per-event, **no start fee**: **$0.07 per 1,000 reviews** on the Apify Free plan, with lower prices on paid plans. Each review pushed to the dataset is one event.

| Event | Free | Starter | Scale | Business | Enterprise |
|-------|------|---------|-------|----------|------------|
| App review (`REVIEW`) | $0.07 | $0.059 | $0.052 | $0.042 | $0.042 |

Prices in USD per 1,000 events.

#### Cost examples (Free plan)

| Reviews | Cost |
|---------|------|
| 100 | $0.007 |
| 1,000 | $0.07 |
| 10,000 | $0.70 |

### Limitations

- Apple: the RSS review feed gives up to about 500 most recent reviews per country. When Apple serves an empty feed (it happens for all apps at times), the Actor falls back to the App Store web page, which shows about 10 reviews chosen by Apple, without app version or helpful count. The run log says when this happens.
- Google Play: up to 500 newest reviews per run (`maxReviews`).
- Review counts may differ from totals shown on the store pages.
- Apple RSS feeds may have a short delay before newly posted reviews appear.

### Related Actors

- [Trustpilot Reviews Scraper - Ratings & Company Profile](https://apify.com/sweet_stickball/trustpilot-reviews) — Scrape Trustpilot reviews for any company domain: rating, title, text, date, company reply and the company profile (TrustScore, review count).
- [Amazon Reviews Scraper API - 9 Marketplaces, No Login](https://apify.com/sweet_stickball/amazon-reviews-scraper) — Scrape Amazon product reviews: rating, text, date, verified purchase and helpful votes on 9 marketplaces. Amazon reviews data API, no login needed.
- [Google Trends Scraper - Interest Over Time & Related Queries](https://apify.com/sweet_stickball/google-trends-scraper) — Scrape Google Trends: interest over time and related queries for up to 5 compared keywords, by country, time range and category.

# Actor input Schema

## `appId` (type: `string`):

App ID or URL. Apple: numeric ID or App Store URL. Google Play: package name (e.g., com.whatsapp) or Play Store URL.

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

Which app store to scrape from.

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

Maximum number of reviews to return.

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

Country code for Apple App Store (e.g., us, gb, fr, de).

## Actor input object example

```json
{
  "appId": "553834731",
  "store": "apple",
  "maxReviews": 10,
  "country": "us"
}
```

# Actor output Schema

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

Dataset items shown with the 'results' view.

# 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 = {
    "appId": "553834731",
    "maxReviews": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("sweet_stickball/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 = {
    "appId": "553834731",
    "maxReviews": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("sweet_stickball/app-store-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 '{
  "appId": "553834731",
  "maxReviews": 10
}' |
apify call sweet_stickball/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sweet_stickball/app-store-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/mQdoTWxYrQkuis8FX/builds/GQbY1HABMxO7cErXp/openapi.json