# Apple App Store Reviews Scraper (`datalantern/app-store-reviews`) Actor

Export Apple App Store reviews for any iPhone or iPad app: rating, title, review text, app version, helpful votes and date, from one or many countries. Clean fields, no reviewer data.

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

## Pricing

Pay per event

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

**Apple App Store Reviews Scraper** exports reviews of any iPhone or iPad app from the Apple App Store: star rating, review title and text, app version, helpful votes, and date. Paste an App Store link, pick one or more countries, and download the reviews as CSV, Excel, or JSON for app review analysis, sentiment tracking, competitor research, or product feedback.

### What can this tool do?

- Export up to 500 of the latest App Store reviews per app and country (Apple's own limit), or 500 of the most helpful ones.
- Collect reviews from many countries in one run, for example `us`, `gb`, `de`, `fr`, `jp`, `br`.
- Accept App Store links, numeric app IDs, or bundle IDs such as `com.spotify.client`.
- Filter by stars, for example only 1–2 star reviews to collect complaints and bug reports.
- Return the same clean columns for every review, so CSV and Excel exports stay tidy.
- Leave out reviewer names and profile links: you get the feedback, not personal data.

### What data does it return?

One row per review. Example from a real run of the default input:

| Field | Example |
|---|---|
| `appId` | 324684580 |
| `appName` | Spotify: Music and Podcasts |
| `country` | us |
| `reviewId` | 14584262810 |
| `rating` | 1 |
| `title` | Sad |
| `content` | I loved it before the adds. Now I barely listen to music. |
| `appVersion` | 9.1.84 |
| `voteCount` | 0 |
| `voteSum` | 0 |
| `date` | 2026-09-23T14:47:28.000Z |
| `reviewUrl` | https://apps.apple.com/us/app/id324684580?see-all=reviews |

- `voteCount` is how many people voted on the review; `voteSum` is how many found it helpful.
- `reviewUrl` opens the app's review page in that country's App Store (Apple has no link to a single review).
- `date` is in UTC. Missing values are `null`.

### How to use it

1. Paste one or more App Store links (or app IDs) and choose the countries.
2. Optionally set the maximum number of reviews, the sort order, and a star filter.
3. Click **Start**, then download the reviews as CSV, Excel, or JSON, or read them through the API.

### Pricing

Pay per review: **$0.30 per 1,000 reviews**, plus $0.005 per run. You only pay for reviews you receive. Set a maximum cost per run in the run options and the tool stops when it is reached.

### Use it through the API, AI agents, and integrations

Call it from your code with the Apify API, schedule it daily to track new reviews, or connect it to Make, Zapier, n8n, Google Sheets, or an AI agent through Apify's MCP server.

### Is it legal?

This tool reads Apple's public customer-reviews feed, the same reviews anyone can see in the App Store. It does not log in or bypass any access control, and it does not collect reviewer names, nicknames, or profile links. You are responsible for how you use the data; check Apple's terms for your use case.

### FAQ

**Why do I get at most 500 reviews per country?** Apple's public feed stops after 10 pages of 50 reviews for each app, country and sort order. To get more, run the same app for more countries, or run it once with **Most recent** and once with **Most helpful**. Scheduling a daily run keeps a growing history of new reviews.

**Why did an app return fewer reviews than the App Store shows?** The App Store counts star-only ratings, but only written reviews appear in the feed. Each country also has its own reviews, so a small country may have only a few.

**Can I get Google Play reviews?** Google Play is a different store and is not covered by this tool.

### Feedback

Found a bug or need a field added? Open an issue on the **Issues** tab. We usually respond within 24 hours.

# Actor input Schema

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

One app per line: an App Store link (https://apps.apple.com/us/app/.../id324684580), a numeric app ID (324684580), or a bundle ID (com.spotify.client).

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

Two-letter App Store country codes, for example us, gb, de, fr, jp, br. Each country has its own reviews.

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

Apple publishes up to 500 reviews per app, country and sort order (10 pages of 50).

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

Most recent reviews, or the reviews Apple ranks as most helpful. Each order returns its own set of up to 500 reviews.

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

Optional. Keep only reviews with at least this many stars (1–5).

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

Optional. Keep only reviews with at most this many stars (1–5). For example 2 to collect complaints only.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 50,
  "sortBy": "mostRecent"
}
```

# Actor output Schema

## `results` (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/spotify-music-and-podcasts/id324684580"
    ],
    "countries": [
        "us"
    ],
    "maxReviewsPerApp": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("datalantern/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/spotify-music-and-podcasts/id324684580"],
    "countries": ["us"],
    "maxReviewsPerApp": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("datalantern/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/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 50
}' |
apify call datalantern/app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datalantern/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/A0fGuKDUn64FA77Yj/builds/7AxPjrqsXL1rQN4Ys/openapi.json