# App Store Review Scraper (Apple iOS) (`technicaldost/app-store-review-scraper`) Actor

Scrape Apple App Store reviews and app metadata: rating, title, text, author, version, plus average rating and total ratings. For ASO and product research.

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

## Pricing

from $3.00 / 1,000 results

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 Review Scraper (Apple iOS)

Collect recent Apple App Store reviews for ASO research, product discovery, competitor monitoring, and customer feedback analysis. Provide App Store URLs, numeric Apple app IDs, or a mixture of both and receive one clean dataset row per review.

The Actor uses Apple's public iTunes Lookup and Customer Reviews RSS JSON endpoints. It needs no API key, paid proxy, browser, or third-party data subscription.

### What it does

- Accepts Apple App Store URLs and numeric app IDs.
- Resolves app metadata including name, seller, rating summary, price, genres, and current version.
- Reads up to 10 pages of the most recent reviews per app.
- Exports review title, text, 1–5 rating, author, reviewed app version, and ISO timestamp.
- Retries temporary request failures and isolates errors so one bad app does not stop the run.
- Deduplicates repeated app IDs and review IDs.

### Input

| Field | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `apps` | string array | Yes | WhatsApp URL and ID in the prefill | App Store URLs or numeric app IDs. |
| `country` | string | No | `us` | Two-letter App Store storefront country code. |
| `maxReviewsPerApp` | integer | No | `100` | Reviews saved per app, from 1 to 500. |

Example input:

```json
{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "310633997"
  ],
  "country": "us",
  "maxReviewsPerApp": 100
}
```

Both example values resolve to the same app ID, so the Actor processes WhatsApp once and does not create duplicate reviews.

### Output

Each dataset item is one review:

```json
{
  "appId": "310633997",
  "appName": "WhatsApp Messenger",
  "country": "us",
  "reviewId": "12345678901",
  "title": "Useful every day",
  "text": "Fast and reliable messaging.",
  "rating": 5,
  "author": "Example user",
  "version": "2.26.10",
  "updatedAt": "2026-01-15T12:30:00.000Z"
}
```

The app metadata lookup supplies the canonical app name and is logged with seller name, average rating, rating count, price, genres, and current version. The dataset stays review-focused with the stable fields shown above.

### Data sources and limits

The Actor only calls official, public Apple endpoints:

- `https://itunes.apple.com/lookup?id=<appId>&country=<country>` for app metadata.
- `https://itunes.apple.com/<country>/rss/customerreviews/page=<1..10>/id=<appId>/sortby=mostrecent/json` for reviews.

Apple exposes at most 10 review pages through this feed. Apps without public reviews in the selected storefront produce no dataset rows. Availability and ordering are controlled by Apple and can vary by country.

### Cost

There are no external data-source fees. On pay-per-event Actor pricing, one `result` event is charged for each review saved to the dataset.

# Actor input Schema

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

Apple App Store URLs or numeric app IDs.

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

Two-letter App Store storefront country code, such as us, gb, or de.

## `maxReviewsPerApp` (type: `integer`):

Maximum number of recent reviews to save for each app.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "310633997"
  ],
  "country": "us",
  "maxReviewsPerApp": 100
}
```

# 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": [
        "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
        "310633997"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/app-store-review-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": [
        "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
        "310633997",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/app-store-review-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": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "310633997"
  ]
}' |
apify call technicaldost/app-store-review-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/nMWMKFALch5GtvkKS/builds/BrUdsUp3qROM9d2A7/openapi.json