# Apple App Store Reviews Scraper (multi-country) (`liora-tools/app-store-reviews`) Actor

Collect Apple App Store reviews for any app across many countries at once, with ratings, titles, text, app version and app details. Uses Apple's public RSS and iTunes lookup feeds; reviewer names are not collected.

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

## Pricing

from $0.12 / 1,000 review saveds

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

## Apple App Store Reviews Scraper — multi-country, with app details

Collect **Apple App Store reviews** for any app, across **as many countries as you want in one run**, with star rating, review title, full text, app version reviewed, helpful votes and date — plus app details (name, developer, price, average rating, rating count, genre, current version).

Uses Apple's own public customer-review RSS feed and iTunes lookup API, so runs are fast and stable. **Reviewer names are not collected.**

### Why this Actor

- **Multi-country in one run**: Apple stores reviews per storefront. Pass `["us","gb","ca","au","in","de","fr","jp"]` and get them all, tagged by country.
- **Find apps by keyword** (`searchTerms`) — no need to look up IDs.
- **Rating filter** – e.g. only 1–2★ reviews for complaint mining.
- **Complaint themes + summary** – every review is tagged (crash, login, subscription, ads, performance…) and a `SUMMARY` record gives theme counts, top complaints and rating by app version.

### Use cases

App-store optimisation (ASO), competitor research, product feedback mining, sentiment analysis and LLM summarisation of user complaints, localisation research.

### Quick start

Press **Start** with the default input. It returns the latest Duolingo reviews from the US and UK, each tagged with complaint themes, in a few seconds.

Example: only 1-2★ complaints about crashes, login and subscriptions, in 6 countries:

```json
{
  "apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997", "570060128"],
  "countries": ["us", "gb", "ca", "au", "in", "de"],
  "maxReviewsPerCountry": 500,
  "maxRating": 2,
  "onlyThemes": ["crash_or_bug", "login_or_account", "subscription_or_price"],
  "maxItems": 3000,
  "maxCostUsd": 1
}
```

### Complaint themes and summary (built in, no extra cost)

Every review gets:

- `themes`: keyword-based tags from crash_or_bug, login_or_account, subscription_or_price, ads, performance, sync_or_data_loss, notifications, ui_or_ux, support, feature_request and privacy
- `sentiment`: negative (1-2★), neutral (3★) or positive (4-5★)
- `isCurrentVersion`: whether the review is about the app's latest version
- `reviewUrl`

The key-value store record **SUMMARY** gives you, per app and country:

- the rating distribution
- `themeCounts` and `negativeThemeCounts`
- `topComplaintThemes`
- `ratingByVersion`, which shows whether the last update made things worse

Themes are keyword rules, not an AI model. They are fast and deterministic, but they can miss sarcasm or unusual wording.

### Input

- **apps** – App Store URLs or numeric IDs
- **searchTerms** + **appsPerSearch** – optional discovery
- **countries** – 2-letter storefront codes
- **maxReviewsPerCountry** (Apple exposes up to 500 most recent per country), **sortBy**, **minRating**, **maxRating**, **includeAppDetails**, **maxItems**
- **onlyThemes** – keep only reviews tagged with these themes
- **maxCostUsd** – optional spend cap for this run

### Output (one item per review)

```json
{
  "appId": "570060128",
  "country": "us",
  "appName": "Duolingo: Learn Languages",
  "developer": "Duolingo",
  "appPrice": 0.0,
  "appCurrency": "USD",
  "appAverageRating": 4.72259,
  "appRatingCount": 5528062,
  "appGenre": "Education",
  "appCurrentVersion": "7.145.1",
  "appUrl": "https://apps.apple.com/us/app/duolingo-learn-languages/id570060128?uo=4",
  "reviewId": "14698668403",
  "rating": 3,
  "title": "I mean….. yeah….",
  "text": "I have been trying to learn chess recently, and Duolingo is doing a very great job and helping me learn, but… Every single lesson I have to watch an ad always t…",
  "appVersion": "7.145.1",
  "reviewedAt": "2026-10-22T13:49:16-07:00",
  "voteCount": 0,
  "voteSum": 0,
  "themes": [
    "subscription_or_price",
    "ads"
  ],
  "sentiment": "neutral",
  "isCurrentVersion": true,
  "reviewUrl": "https://apps.apple.com/us/app/id570060128?see-all=reviews",
  "scrapedAt": "2026-10-24T06:28:26.232329+00:00"
}
```

### Pricing & cost control

- **Pay per result**: you are charged one `review` event per review saved to the dataset. The current price per review is shown on the Actor's **Pricing** tab; platform usage (compute) is included in that price.
- **Hard caps, so a run can never surprise you**:
  - `maxItems` stops after N reviews.
  - `maxCostUsd` (optional) stops cleanly once that many dollars have been charged in this run.
  - Apify's own **Maximum cost per run** (Run options) is also respected; the Actor stops cleanly and keeps everything saved so far.
- Results that fail (errors, blocked pages, empty inputs) are not charged.

### FAQ & limits

- **How many reviews can I get?** Apple's public feed exposes at most the 500 most recent (or most helpful) reviews per app per country. Add more countries to get more.
- **Reviewer names?** Not collected.
- **Google Play?** Not in this Actor.
- **Which countries?** Any 2-letter App Store storefront code (us, gb, de, jp, br…).

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/whatsapp-messenger/id310633997) or numeric app IDs (310633997).

## `searchTerms` (type: `array`):

Optional. Each term is searched in the first country and the top N apps are added.

## `appsPerSearch` (type: `integer`):

How many top search results to add per search term.

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

Reviews are stored per App Store country. Add several to collect more reviews (e.g. us, gb, ca, au, in, de).

## `maxReviewsPerCountry` (type: `integer`):

Apple exposes up to 500 most recent reviews per app per country.

## `sortBy` (type: `string`):

Most recent (default) or most helpful first.

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

Keep reviews with at least this many stars.

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

Keep reviews with at most this many stars (set 2 to get only complaints).

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

App name, developer, price, average rating, genre, current version.

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

Hard cap on reviews saved in this run (you pay per saved review).

## `onlyThemes` (type: `array`):

Optional. Keep only reviews tagged with any of these themes (e.g. only crash and subscription complaints). Empty = all reviews.

## `maxCostUsd` (type: `number`):

Optional. Stop cleanly once this much has been charged in this run (e.g. 0.50). Apify's own 'Maximum cost per run' run option is respected too; the lower one wins. Leave empty for no extra cap. You pay per review saved.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
  ],
  "searchTerms": [],
  "appsPerSearch": 3,
  "countries": [
    "us",
    "gb",
    "ca",
    "au"
  ],
  "maxReviewsPerCountry": 100,
  "sortBy": "mostrecent",
  "minRating": 1,
  "maxRating": 5,
  "includeAppDetails": true,
  "maxItems": 1000,
  "onlyThemes": []
}
```

# Actor output Schema

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

Reviews saved by this run (one dataset item each).

## `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",
        "gb",
        "ca",
        "au"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("liora-tools/app-store-reviews").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",
        "gb",
        "ca",
        "au",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("liora-tools/app-store-reviews").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",
    "gb",
    "ca",
    "au"
  ]
}' |
apify call liora-tools/app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,liora-tools/app-store-reviews"
        }
    }
}
```

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/WM1O9UkKBmkSiBPvC/builds/MLzfZhaU0fFCFtMLD/openapi.json