# App Store Reviews Scraper — Apple iOS App Reviews & Ratings (`hipersoft/app-store-reviews-scraper`) Actor

Scrape customer reviews and star ratings for any Apple App Store app. Get reviewer name, rating, title, full review text, app version, helpful votes, date and country — across multiple storefronts. One clean row per review as JSON, CSV or Excel.

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

## Pricing

from $0.0001 / review scraped

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 — Apple iOS App Reviews & Ratings

Extract **customer reviews and star ratings** for any app on the **Apple App Store**. Paste one or more app links (or IDs), pick your countries, and get one clean row per review — reviewer name, star rating, title, full review text, app version, helpful votes, date and storefront. Export to **JSON, CSV or Excel**, or pull straight from the API.

Perfect for **app store optimization (ASO)**, competitor monitoring, product feedback analysis, sentiment tracking, release-by-release quality checks, and building review datasets for dashboards or LLMs.

***

### What you get

One flat, ready-to-use record per review:

| Field | Description |
|---|---|
| `appId` | Apple app ID |
| `appName` | App title |
| `country` | Storefront the review came from |
| `reviewId` | Unique review ID |
| `userName` | Reviewer's display name |
| `rating` | Star rating (1–5) |
| `title` | Review title |
| `text` | Full review text |
| `version` | App version reviewed |
| `votesUp` / `votesTotal` | "Helpful" vote counts |
| `updatedAt` | Review date (ISO 8601) |
| `sortedBy` | `mostrecent` or `mosthelpful` |
| `collectedAt` | When the row was scraped |

***

### How to use

#### 1. Add apps

Paste App Store links, numeric IDs, or bundle IDs:

```json
{
  "appUrls": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "284882215",
    "net.whatsapp.WhatsApp"
  ],
  "countries": ["us", "gb", "de"],
  "sort": "mostrecent",
  "maxItems": 300
}
```

#### 2. Choose countries

Reviews are per-storefront, so list every country you care about with its two-letter code — `us`, `gb`, `ca`, `au`, `de`, `fr`, `in`, `sg`, and so on. Each app is scraped in each country.

#### 3. Sort & filter

- **Sort reviews by** — *Most recent* (newest first) or *Most helpful* (top-voted first).
- **Minimum / maximum star rating** — isolate 1–2★ complaints or 5★ praise.
- **Max reviews** — cap the total (0 = as many as available).

***

### Example output

```json
{
  "appId": "310633997",
  "appName": "WhatsApp Messenger",
  "country": "us",
  "reviewId": "12897654321",
  "userName": "Jordan P.",
  "rating": 2,
  "title": "Status uploads keep failing",
  "text": "Ever since the last update my status photos won't upload…",
  "version": "26.36.74",
  "votesUp": 14,
  "votesTotal": 15,
  "updatedAt": "2026-09-18T16:00:00-07:00",
  "sortedBy": "mostrecent",
  "collectedAt": "2026-09-20T02:30:00.000Z"
}
```

***

### Common use cases

- **ASO & rating monitoring** — track your app's rating and review volume across storefronts.
- **Competitor analysis** — pull rivals' reviews to spot feature gaps and complaints.
- **Product feedback** — funnel real user reviews into your backlog, support tools or spreadsheets.
- **Release quality** — filter by app version to see how each update landed.
- **Sentiment & trends** — isolate 1–2★ reviews to surface the loudest pain points.
- **Datasets** — build clean, labelled review corpora for analysis or model training.

***

### Frequently asked questions

**Do I need any login, account or key?** No. Just paste app links and run.

**How many reviews can I get per app?** The App Store serves up to roughly 500 reviews per app per country. Add more countries to widen coverage.

**Can I scrape several apps and countries at once?** Yes — list multiple apps and multiple country codes; every app is scraped in every country.

**Can I get only negative (or only positive) reviews?** Yes — use the minimum and maximum star-rating filters.

**What format is the data?** A flat table you can export as JSON, CSV or Excel, or fetch from the Apify API.

***

### Related scrapers

Building app-market intelligence? Pair this with our Apple App Store app scraper for app metadata, ratings and prices, and our Google Play reviews scraper for the Android side — all with the same clean, one-row-per-item output.

# Actor input Schema

## `appUrls` (type: `array`):

One or more Apple App Store apps to scrape reviews for. Paste the app page URL (e.g. https://apps.apple.com/us/app/whatsapp-messenger/id310633997), a bare numeric app ID (310633997), or a bundle ID (net.whatsapp.WhatsApp).

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

Two-letter App Store country codes to pull reviews from — e.g. us, gb, ca, au, de, fr, in, sg. Each app is scraped in every country you list (reviews are per-storefront).

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

Most recent (newest first) or most helpful (top-voted first).

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

Only keep reviews with at least this many stars. Set to 1 for all reviews, or 4 to keep only positive ones.

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

Only keep reviews with at most this many stars. Combine with the minimum to isolate, say, 1–2★ complaints.

## `maxItems` (type: `integer`):

Maximum number of reviews to collect across all apps and countries (0 = as many as Apple returns). Apple serves up to ~500 reviews per app per country.

## Actor input object example

```json
{
  "appUrls": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
  ],
  "countries": [
    "us"
  ],
  "sort": "mostrecent",
  "minRating": 1,
  "maxRating": 5,
  "maxItems": 200
}
```

# Actor output Schema

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

The results as dataset items.

# 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 = {
    "appUrls": [
        "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("hipersoft/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 = {
    "appUrls": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"],
    "countries": ["us"],
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/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/AmZU2kKmKwstNGAhC/builds/17azJDVa2dMp6ny0d/openapi.json