# App Store Reviews Scraper - iPhone & iPad App Reviews (`datawright/app-store-reviews-scraper`) Actor

Scrape Apple App Store reviews for any iPhone/iPad app in any country: rating, title, text, date, app version, helpful votes. Newest or most helpful, star and date filters, many apps and countries per run. Fast, cheap, flat rows.

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

## Pricing

from $0.15 / 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

## App Store Reviews Scraper - iPhone & iPad app reviews

Export **App Store reviews** for any app in any of Apple's 175 storefronts as JSON, CSV or Excel: star rating, title, text, date, app version, helpful votes - one flat row per review.

Built for **app developers and product managers, ASO and UX researchers, customer-support and sentiment analysis, competitor monitoring and AI / LLM pipelines**.

- Many apps and countries in one run
- **Newest** or **most helpful** first
- Filter by **star rating** (e.g. only 1-2 star complaints) and **date** (only new reviews since your last run)
- No login, no API key, no browser - fast and cheap

### Quick start

The latest reviews for one app:

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 200
}
```

Only 1- and 2-star reviews since a date, from several countries - a weekly complaints digest:

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us",
    "gb",
    "au",
    "ca"
  ],
  "stars": [
    "1",
    "2"
  ],
  "sinceDate": "2026-10-01",
  "maxReviewsPerApp": 0
}
```

### Output

```json
{
  "store": "App Store",
  "appId": "324684580",
  "country": "au",
  "reviewId": "14648696969",
  "rating": 5,
  "title": "The fan",
  "text": "Amazing no complaints except for I wish there was no ads love what you’re doing Spotify",
  "userName": "Angeb213",
  "date": "2026-10-10T06:54:37.000Z",
  "appVersion": "9.1.90",
  "helpfulVotes": 0,
  "totalVotes": 0,
  "developerReply": null,
  "developerReplyDate": null
}
```

### Pricing

Pay per review delivered - see the **Pricing** tab. Use *Max reviews per app* and the run's maximum cost to cap spending, and *Only reviews since* on schedules so you never pay twice for the same review.

### FAQ

**How many reviews can I get?** Apple publishes the **500 most recent (or most helpful) reviews per app in each country**. Add more countries to collect more - each storefront has its own reviews. Ratings without a written review are not published by Apple.

**Can I schedule it?** Yes - create a schedule with *Newest first* and *Only reviews since*, and connect Google Sheets, Slack, Zapier or Make from the Integrations tab.

**Need app details, rankings or top charts?** Use the companion [App Store Scraper](https://apify.com/datawright/app-store-scraper). Both stores: [App Store Reviews](https://apify.com/datawright/app-store-reviews-scraper) · [Google Play Reviews](https://apify.com/datawright/google-play-reviews-scraper).

### Disclaimer

Not affiliated with Apple. Collects publicly available reviews. Reviews contain public display names; turn off *Include reviewer names* if you don't need them, and use the data in line with applicable privacy laws (e.g. GDPR).

# Actor input Schema

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

App Store URLs, app ids (e.g. 324684580 or id324684580) or bundle ids (com.spotify.client).

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

Two-letter store codes (us, gb, au, de, jp...). Each country has its own reviews - add several to collect more.

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

Order in which reviews are collected.

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

Per app and country (0 = all available). Apple publishes up to 500 reviews per app per country.

## `stars` (type: `array`):

E.g. 1 and 2 for complaints only. Empty = all ratings.

## `sinceDate` (type: `string`):

Skip older reviews - ideal for a daily or weekly schedule (with "Newest first").

## `includeReviewerNames` (type: `boolean`):

Turn off to drop the public display name of each reviewer.

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

Stop after this many rows (0 = no limit).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "sort": "newest",
  "maxReviewsPerApp": 100,
  "includeReviewerNames": true,
  "maxItems": 0
}
```

# 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": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("datawright/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/spotify-music-and-podcasts/id324684580"],
    "countries": ["us"],
    "maxReviewsPerApp": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("datawright/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/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 100
}' |
apify call datawright/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datawright/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/8Vs629iQLnzpwQwh1/builds/dts7pi2JJIxYNofmy/openapi.json