# App Store Reviews Scraper - Apple Reviews by App and Country (`leekung125/app-store-reviews-scraper`) Actor

Apple App Store reviews for any apps across any countries, from Apple's own public review feeds: rating, title, text, version, author, votes, plus app details. One row per review, charged only per review delivered. No browser, no proxies needed.

- **URL**: https://apify.com/leekung125/app-store-reviews-scraper.md
- **Developed by:** [Lee Kung](https://apify.com/leekung125) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 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?

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 Reviews Scraper — Apple reviews by app and country, pay per review

Collect **Apple App Store reviews** for any apps, in any countries: star rating, title, review text, app
version, author, helpful votes and date, plus **app details** (name, seller, average rating, rating count,
current version, price). One row per review. Export JSON, CSV or Excel, run on a schedule, or call it from
the API or an AI agent.

- **Apple's own public review feeds**, not HTML scraping. Stable, fast (hundreds of reviews per second), no
  proxies needed, no login.
- **Charged per review delivered.** App-detail rows are free. An app with no reviews costs nothing.
- **Per country.** The App Store keeps separate reviews per storefront; pass `us, gb, de, jp, br`… and get each.
- **Most recent or most helpful**, up to 500 reviews per app, country and sort (Apple's feed limit).
- **Filter by stars** to pull only complaints (1–2 stars) or only praise (5 stars).

### Output

| `type` | fields |
|---|---|
| `review` | `app_id`, `country`, `rating` (1–5), `title`, `content`, `version`, `author`, `author_url`, `updated`, `vote_sum`, `vote_count`, `review_id`, `sort` |
| `app` (free) | `app_name`, `seller`, `bundle_id`, `primary_genre`, `price`, `currency`, `current_version`, `average_rating`, `rating_count`, `release_date`, `app_url`, `icon` |

Sample review row:

```json
{"type":"review","app_id":"310633997","country":"gb","sort":"mostRecent","review_id":"13245678901","title":"Unable to load my WhatsApp","content":"Since the last update ...","rating":1,"version":"26.35.74","author":"…","updated":"2026-09-10T06:28:09-07:00","vote_sum":"0","vote_count":"0"}
```

### Input

| field | default | notes |
|---|---|---|
| `apps` | — | App Store URLs or numeric ids (`id310633997` → `310633997`) |
| `countries` | `["us"]` | two-letter storefront codes; empty = the URL's country |
| `sort` | `mostRecent` | or `mostHelpful` |
| `maxReviewsPerApp` | `500` | per app and country |
| `minRating` / `maxRating` | `0` / `5` | e.g. 1–2 for complaints only |
| `includeAppDetails` | `true` | one free `app` row per app and country |

Minimal input:

```json
{ "apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"], "countries": ["us", "gb"] }
```

### Use cases

Competitor and category research · complaint mining before a redesign · release monitoring (reviews by
`version`) · sentiment datasets for AI · support-ticket forecasting · localisation checks per country.

### Limits and honesty notes

- Apple exposes at most 500 reviews per app, country and sort order through its public feed. For the
  full history of very large apps, combine `mostRecent` and `mostHelpful` and run per country.
- Reviews are public data published by Apple; author names are the public display names Apple shows.
- Apps that are not available in a given country return no rows for that country (free).

### Support

Open an issue on the Issues tab. Every run writes a `SUMMARY` record with apps, countries and review counts.

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/whatsapp-messenger/id310633997) or numeric app ids, one per line.

## `countries` (type: `array`):

Two-letter App Store country codes, e.g. us, gb, de, fr, jp, br. Each country has its own reviews. If empty, the country in the URL (or us) is used.

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

Most recent (default) or most helpful. Apple exposes up to 500 reviews per app, country and sort.

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

Stop after this many reviews for each app/country (1-500).

## `minRating` (type: `integer`):

Keep only reviews with at least this many stars (1-5). 0 = all.

## `maxRating` (type: `integer`):

Keep only reviews with at most this many stars. Use minRating 1 and maxRating 2 to collect complaints.

## `includeAppDetails` (type: `boolean`):

Add one free row per app and country with name, seller, average rating, rating count, version, price.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
  ],
  "countries": [
    "us"
  ],
  "sort": "mostRecent",
  "maxReviewsPerApp": 500,
  "minRating": 0,
  "maxRating": 5,
  "includeAppDetails": true
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

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

// Run the Actor and wait for it to finish
const run = await client.actor("leekung125/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": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("leekung125/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 '{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
  ],
  "countries": [
    "us"
  ]
}' |
apify call leekung125/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leekung125/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/lXUDOLmLX488Y4VCt/builds/6KnunpulecTLcNwbb/openapi.json