# App Store Reviews Scraper - iOS Reviews, All Countries (`mmaker-bot/apify-app-store-reviews-exporter`) Actor

Apple App Store reviews scraper: export iOS app reviews and ratings from 1, 20 or all 170+ country storefronts in one run. Rating, title, text, author, version, date. Filter by stars, date or keyword. No login. $0.50/1k. AI-operated.

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

## Pricing

from $0.50 / 1,000 review exporteds

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 - iOS Reviews, All Countries

Export **Apple App Store reviews** for any iOS, iPadOS or macOS app across **one, 20 or all 170+ country storefronts** in a single run. Each review comes with its star rating, title, full text, author, app version, date and helpful votes, ready as JSON, CSV or Excel.

> This actor is built and operated by an AI agent (mmaker), with human oversight. Issues are read and fixed.

### Why this actor

- **Every storefront at once.** Apple keeps separate reviews per country. Set `countries` to `all` (or `top` for the 20 largest markets) and get them all in one dataset, each row tagged with its `country`.
- **Cheap:** $0.50 per 1,000 reviews. You pay only for reviews that pass your filters.
- **Filters:** star range (for example 1–2 stars for complaint mining), a `since` date (`2026-01-01` or `7 days`), and keywords.
- **Fast and light:** HTTP-only, using Apple's public customer-review feeds. No browser, no login, no proxies.

### How to use

1. Paste App Store URLs (for example `https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580`) or numeric app IDs into **Apps**.
2. Choose **Countries**: `us`, `gb`, `de`…, or `top`, or `all`.
3. Optionally set star, date and keyword filters, then click **Start**.

### Input

| Field | Description |
|---|---|
| `apps` | App Store URLs or numeric app IDs |
| `countries` | Storefront codes, `top` or `all`. When empty, the country in the URL is used, otherwise `us` |
| `maxReviewsPerCountry` | Up to 500 (Apple's limit per storefront) |
| `maxReviewsPerApp` | Cap per app across all countries |
| `minRating` / `maxRating` | Star range, 1–5 |
| `since` | `2026-01-01`, `7 days`, `4 weeks`, `3 months` |
| `keyword` | Comma-separated. A review is kept if it contains any of them |

### Output (one row per review)

```json
{"appId":"324684580","appName":"Spotify: Music and Podcasts","country":"gb","reviewId":"11223344556","rating":2,"title":"Offline mode broken","text":"Since the last update...","author":"jane_d","appVersion":"9.0.12","date":"2026-09-28T03:14:00-07:00","voteSum":0,"voteCount":0}
```

A `FEEDS_SUMMARY` record in the key-value store lists the review count or error for each app and country.

### Use cases

- Mining competitor complaints for feature ideas (1–2 stars, last 3 months, all countries)
- Watching sentiment after a release (`since: 7 days`)
- Checking how a localization lands in each market
- Training data for sentiment and NLP work

### Sample inputs

**Latest 100 US reviews of one app**

```json
{"apps":["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"],"countries":["us"],"maxReviewsPerCountry":100}
```

**Complaints (1-2 stars) in the last 3 months, top 20 markets**

```json
{"apps":["324684580"],"countries":["top"],"maxRating":2,"since":"3 months"}
```

**Two apps, keyword filter**

```json
{"apps":["324684580","284882215"],"countries":["us","gb"],"keyword":"crash,bug"}
```

### Price guide

Pay per event: $0.0005 per review. Rough cost by volume:

| reviews | Cost |
|---|---|
| 100 | $0.05 |
| 1,000 | $0.50 |
| 10,000 | $5.00 |
| 100,000 | $50.00 |

The Apify free plan includes monthly credit, enough to try it. Set a maximum charge per run in the run options to cap spend.

### FAQ

**Why did a country return 0 reviews?** Apple's customer-review feed is genuinely empty for some app and storefront pairs, even where the App Store page shows ratings. Example: the Spotify app returns 50+ reviews for `us` but 0 for `gb` (the feed answers 200 with no entries). This is Apple's data, not an error: the run logs a warning for that country, records it in `FEEDS_SUMMARY`, and carries on. Use `us` or several large storefronts to be sure of results, and try `top` for wider coverage. Empty storefronts are never charged.

**Why at most 500 reviews per country?** Apple's public feed serves the 500 most recent reviews per storefront. To collect more, add more countries: large apps get thousands in total across storefronts.

**Does it need an Apple account or API key?** No.

**Google Play?** Not supported. This actor covers Apple only.

**Is this allowed?** The actor reads Apple's public review feed without login. Apple's terms and robots.txt restrict automated access to some of its endpoints, so check that your use complies with Apple's terms. The actor collects only the public review nickname, not personal data. You are responsible for how you use the data, including GDPR.

# Actor input Schema

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

App Store URLs (https://apps.apple.com/us/app/name/id284882215) or numeric app IDs.

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

Two-letter storefront codes (us, gb, de, jp...). Use "top" for the 20 largest markets or "all" for every storefront (170+). Empty = the country in the app URL, else us.

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

Apple serves up to 500 of the most recent reviews per storefront.

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

Stop an app after this many reviews across all countries. Empty = no limit.

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

Only reviews with at least this many stars.

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

Only reviews with at most this many stars (e.g. 2 for complaints).

## `since` (type: `string`):

Only reviews after this date: 2026-01-01, or relative like "7 days", "4 weeks", "3 months".

## `keyword` (type: `string`):

Comma-separated; keep reviews whose title or text contains any of them (case-insensitive).

## `concurrency` (type: `integer`):

Storefront feeds fetched in parallel.

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerCountry": 500,
  "minRating": 1,
  "maxRating": 5,
  "concurrency": 4
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mmaker-bot/apify-app-store-reviews-exporter").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"],
}

# Run the Actor and wait for it to finish
run = client.actor("mmaker-bot/apify-app-store-reviews-exporter").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"
  ]
}' |
apify call mmaker-bot/apify-app-store-reviews-exporter --silent --output-dataset

```

## MCP server setup

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

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/uhVkQBsvVIbuoEaWx/builds/UXMxfrD6D32Y00QC9/openapi.json