# App Store Reviews Scraper — Any App, Any Country (`steadyscrape/app-store-reviews-scraper`) Actor

Scrape Apple App Store reviews for any iPhone or iPad app, in any country, without an App Store Connect account. Get rating, title, text, app version, author name, votes and date. Sort by most recent or most helpful, filter by date, or monitor apps for new reviews only.

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

## Pricing

$0.05 / 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

### What does App Store Reviews Scraper do?

**App Store Reviews Scraper** extracts customer reviews of any **iPhone, iPad or Mac app on the Apple App Store** — no App Store Connect account, no API key and no login. Paste app links or ids, pick one or many countries, and get a clean dataset with each review's **star rating, title, text, app version, date, reviewer name and helpful votes**, plus the app's name and bundle id.

It reads Apple's own public customer-reviews feed, so it is **fast, cheap and reliable**: no headless browser and nothing that can get blocked.

### Why use it?

- 📉 **Find what users hate** — pull the latest reviews of your app or a competitor's and spot recurring complaints.
- 🌍 **Compare markets** — every country has its own reviews; see how the same app is received in the US, UK, Germany or Japan.
- 🚀 **Release monitoring** — group reviews by app version to see if an update broke something.
- 🔎 **Competitor research** — learn what people praise and miss in competing apps before you build a feature.
- 🤖 **AI & analytics pipelines** — feed reviews into sentiment analysis, topic clustering, LLMs or dashboards.

### Features

- ✅ **Any app, any country** — scrape many apps across many App Store countries in one run.
- ✅ **Most recent or most helpful** — choose the order Apple uses.
- ✅ **Date filter** — only reviews since a date; with *Most recent* paging stops as soon as older reviews start.
- ✅ **Monitoring mode** — "Only new reviews since the last run" remembers where you left off, so scheduled runs never charge twice for the same review.
- ✅ **App details included** — app name, App Store link and bundle id on every row.
- ✅ **Resilient** — an app that isn't sold in a country, or a country code that isn't an App Store, is reported and skipped; the rest keep going and you aren't charged for them.
- ✅ **Respects your budget** — stops exactly when your maximum cost per run is reached.

### How to scrape App Store reviews

1. Click **Try for free**.
2. Add one or more apps: `570060128`, `id570060128` or `https://apps.apple.com/us/app/duolingo-language-lessons/id570060128`.
3. Add the countries you want (`us`, `gb`, `de`, `jp`…).
4. Click **Start** and download your data as JSON, CSV, Excel or HTML, or get it through the Apify API.

To **monitor** apps, turn on **Only new reviews since the last run** and add a [schedule](https://docs.apify.com/platform/schedules) (for example daily).

### Input example

```json
{
    "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "284882215"],
    "countries": ["us", "gb", "de"],
    "sort": "mostRecent",
    "maxReviewsPerApp": 500,
    "dateFrom": "2026-06-01",
    "onlyNewReviews": false
}
```

### Output example

Each review is one item in the dataset:

```json
{
    "appId": "570060128",
    "appName": "Duolingo: Language Lessons",
    "appBundleId": "com.duolingo.DuolingoMobile",
    "appUrl": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
    "country": "us",
    "reviewId": "14552297097",
    "title": "Great, other than game-ification",
    "text": "…",
    "rating": 4,
    "appVersion": "7.140.0",
    "userName": "nchan1",
    "date": "2026-09-15T11:29:27.000Z",
    "voteSum": 0,
    "voteCount": 0,
    "scrapedAt": "2026-09-16T15:40:12.118Z"
}
```

#### Output fields

| Field | Description |
|---|---|
| `appId`, `appName`, `appBundleId`, `appUrl` | The app, as the App Store lists it in that country |
| `country` | App Store country the review was written in |
| `reviewId` | Apple's review id |
| `rating` | Stars, 1 to 5 |
| `title`, `text` | Review title and body (line breaks preserved) |
| `appVersion` | App version the review was written for (`null` for some old reviews) |
| `userName` | Reviewer's public nickname |
| `date` | When the review was written or last edited, ISO 8601 in UTC |
| `voteSum`, `voteCount` | Helpful votes: how many found it helpful and how many voted in total |

### How much does it cost?

You pay only for the reviews you get — see the pricing tab for the current price per review. Apps or countries that are unavailable cost nothing, and the Actor stops as soon as it reaches the maximum cost you set for the run.

### Limitations

- Apple's public feed offers **at most 500 reviews per app per country** (10 pages of 50). To get more, add more countries — each one has its own reviews.
- **Developer replies** are not part of the public feed.
- Ratings without a written review are not included.
- The average rating and total number of ratings of the app are not included.

### Is it legal to scrape App Store reviews?

This Actor only reads reviews that Apple publishes openly, without logging in. Reviews contain reviewers' public nicknames, which can be personal data protected by GDPR and similar laws. Make sure you have a legitimate reason to collect them, and consult a lawyer if unsure. Read more in Apify's blog post on [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/).

### Feedback

Found an app that doesn't work or need another field? Open an issue in the **Issues** tab — they are answered quickly.

# Actor input Schema

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

App Store apps to scrape. Any format works: <code>570060128</code>, <code>id570060128</code> or the app link, e.g. <code>https://apps.apple.com/us/app/duolingo-language-lessons/id570060128</code>.

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

Two-letter App Store country codes (<code>us</code>, <code>gb</code>, <code>de</code>, <code>jp</code>…). Each country has its own reviews, so every app is scraped once per country.

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

Most recent first, or the reviews other users found most helpful.

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

Apple's public feed offers at most 500 reviews per app per country.

## `dateFrom` (type: `string`):

Only reviews written or last edited on or after this date (UTC). Format YYYY-MM-DD or a full ISO timestamp. Leave empty for no lower bound.

## `onlyNewReviews` (type: `boolean`):

For scheduled monitoring: each run returns only reviews newer than the newest one saved by your previous run of this Actor for that app and country, so you never pay twice for the same review. Requires sorting by most recent.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us"
  ],
  "sort": "mostRecent",
  "maxReviewsPerApp": 20,
  "onlyNewReviews": false
}
```

# Actor output Schema

## `reviews` (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/duolingo-language-lessons/id570060128"
    ],
    "countries": [
        "us"
    ],
    "maxReviewsPerApp": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("steadyscrape/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/duolingo-language-lessons/id570060128"],
    "countries": ["us"],
    "maxReviewsPerApp": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("steadyscrape/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/duolingo-language-lessons/id570060128"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 20
}' |
apify call steadyscrape/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,steadyscrape/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/rrBFzscB0pNzeVFmO/builds/0dnKPIs5zTZHxV8q5/openapi.json