# App Store Reviews Scraper: Reviews, Ratings, 60+ Countries (`oski/app-store-reviews-scraper`) Actor

Export Apple App Store reviews for any app: star rating, title, full text, author, date, helpful votes and app metadata. Any of 60+ country stores, sorted by most recent, most helpful, most favourable or most critical. Thousands of reviews per app, no login and no API key.

- **URL**: https://apify.com/oski/app-store-reviews-scraper.md
- **Developed by:** [Oski](https://apify.com/oski) (community)
- **Categories:** Developer tools
- **Stats:** 1 total users, 1 monthly users, 91.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.19 / 1,000 review scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

Pull Apple **App Store reviews** for any app into clean structured data: star rating, title, full text, author, date and helpful-vote counts, across 60+ country stores. **No login, no API key, no cookies.** A test run pulled 3,000 reviews for a single app in 23 seconds, and 1,000 reviews cost about $0.20.

It reads the same storefront data the App Store itself uses, so fields come back typed and complete rather than scraped out of HTML.

> **Need the Android side too?** Run the same apps through the [Google Play Reviews Scraper](https://apify.com/oski/google-play-reviews-scraper). Same pricing and the same one-row-per-review layout, so you can compare both stores in one sheet.

### What you can use it for

- **Product managers** tracking what users say after each release, sorted by most recent.
- **App founders** reading a competitor's most critical reviews to find the gaps they can fill.
- **Agencies** building review reports and sentiment dashboards for app clients.
- **Growth and ASO teams** comparing ratings and complaints across the UK, US, Germany and other stores.
- **Builders and researchers** collecting labelled review text for sentiment or topic models.

### How to use it

1. Under **Apps**, type the app's name exactly as it appears in the App Store, such as `Instagram`. A pasted App Store link or the numeric ID (`389801252`) works too.
2. Under **Countries**, list the stores to read, such as `United Kingdom` and `United States`. Names or codes both work.
3. Leave **Max reviews per app** at 1,000 (or change it) and click **Start**.
4. When it finishes, open the **Output** tab and download as CSV, Excel or JSON.

While it runs, the status line at the top of the run page shows progress (for example "App 1 of 2: Instagram. 400 reviews so far."). When it finishes, the same line says what was found and explains anything that was skipped, so you never have to read the log.

### How much does it cost?

You pay a $0.002 start fee per run, then $0.0002 per review returned. You only pay for reviews you actually get: an app with no reviews costs nothing beyond the start fee.

| Reviews | Maths | Cost |
|---|---|---|
| 100 | $0.002 + 100 x $0.0002 | about $0.02 |
| 1,000 | $0.002 + 1,000 x $0.0002 | about $0.20 |
| 10,000 | $0.002 + 10,000 x $0.0002 | about $2.00 |

A typical 1,000-review export for one app costs about $0.20, so there is little reason to stop at 100.

### Input

| Field | What it does |
|---|---|
| `appIds` | Apps to scrape: the app's name (`Instagram`), its App Store link, or its numeric ID (`389801252`). Names are matched in the first country listed. |
| `countries` | Which country stores to read: names or codes (`United Kingdom`, `UK`, `gb`, `US`). Defaults to the US. |
| `maxReviewsPerApp` | How many reviews per app in total across countries (default 1,000). You pay per review returned. |
| `sortBy` | `mostrecent`, `mosthelpful`, `mostfavourable` or `mostcritical`. |
| `maxPagesPerCountry` | Advanced. Requests per country, 1 to 50. Each request returns up to 100 reviews, so the default 10 allows 1,000 per country and 50 allows up to 5,000. |
| `proxyConfiguration` | Advanced. Apple rate-limits heavy bursts from one IP, so a proxy keeps big runs healthy. On by default. |

A realistic job, 1,000 recent reviews each for two apps across the UK and US stores:

```json
{
  "appIds": ["389801252", "https://apps.apple.com/us/app/spotify/id324684580"],
  "countries": ["gb", "us"],
  "sortBy": "mostrecent",
  "maxReviewsPerApp": 1000
}
```

### Output

One record per review:

```json
{
  "app_id": "389801252",
  "app_name": "Instagram",
  "developer": "Instagram, Inc.",
  "app_category": "Photo & Video",
  "app_version": "447.0.0",
  "country": "gb",
  "review_id": "14557374361",
  "rating": 5,
  "title": "Great app",
  "text": "The app is great but...",
  "author": "Yellowthebomb",
  "author_url": "https://itunes.apple.com/gb/reviews/id...",
  "updated": "2026-09-16T23:31:44-07:00",
  "is_edited": false,
  "vote_sum": 3,
  "vote_count": 4,
  "scraped_at": "2026-09-18T02:40:00+00:00"
}
```

`app_version` is the app's current version from Apple's lookup data. The version each reviewer was running is not available from this source.

### Tips for bigger runs

- **Go deeper in one store.** Each request returns up to 100 reviews and the default of 10 requests gives 1,000 per country. Raise **Max requests per country** (up to 50) for up to 5,000 reviews from a single store. A test pulled 3,000 reviews for one app in 23 seconds.
- **Or go wide.** Each country store holds its own reviews, so listing `gb`, `us`, `ca` and `au` with a cap of 4,000 collects up to 4,000 reviews for one app across four markets.
- **Countries are filled in the order you list them.** The per-app cap is spent on the first country before moving to the next, so put the store you care about most first.
- **Duplicates are removed per app**, so the same review never counts twice across countries.
- **Several apps in one run** share one start fee. Twenty apps at 1,000 reviews each is 20,000 reviews for about $4.
- **Run different sorts for different questions.** Most critical and most favourable give the extremes; most recent is best for monitoring.
- **Keep the proxy on** for large multi-app runs so Apple's rate limits do not cut a country short.

### Scheduling and integrations

Schedule the actor in Apify (daily or weekly with `mostrecent`) to watch new reviews arrive, then send each run's results to Google Sheets, a webhook, Make or Zapier using Apify's integrations. You can also call it straight from your own code:

```bash
curl -X POST "https://api.apify.com/v2/acts/oski~app-store-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appIds": ["389801252"], "countries": ["gb"], "maxReviewsPerApp": 1000}'
```

### If something looks wrong

The status line at the end of every run explains anything that was skipped or came back empty. The common messages:

| Message | What to do |
|---|---|
| Input problem: ... | Something in the input needs changing, and the message says what. The run stopped before anything was charged. |
| No App Store app matches "..." | The name did not match an app in that country's store. Paste the app's App Store link instead. |
| App ... is not in the GB App Store | The app is not sold in the first country listed. Put a country where it is sold first. |
| ... has no written reviews | Many ratings have no text. Add more countries to find written reviews. |
| Skipped countries: ... | The country was not recognised or has no App Store. Check the spelling. |

Still stuck? Open an issue on the actor page with the run link and it gets looked at quickly.

### FAQ

**Is it legal to scrape App Store reviews?**
The actor only reads reviews that Apple shows publicly to anyone. You are responsible for how you use the data, including respecting privacy law such as GDPR when you store or publish author names.

**Do I need an Apple account, login or API key?**
No. There is nothing to sign in to.

**Why did I get fewer reviews than I asked for?**
Either the app has fewer reviews in that country store, or the run reached your limits: the default 10 requests per country stop at 1,000 reviews. Raise Max requests per country (up to 50) or add more countries to go further. Invalid app ids and unsupported country codes are skipped and named in the run log.

**How do I find an app's id?**
It is the number after `id` in the App Store URL. You can also paste the full URL.

**How fresh is the data?**
Live. Every run reads the store at the moment it runs, so there is no cached copy to go stale.

**What if it breaks?**
Open an issue on the actor page. When Apple's old review feed stopped returning reviews in September 2026, this actor was moved to a new source the same day it was spotted.

### Other scrapers from Oski

- [Google Play Reviews Scraper](https://apify.com/oski/google-play-reviews-scraper): the Android reviews for the same apps, with developer replies.
- [Telegram Channel Scraper](https://apify.com/oski/telegram-channel-scraper): posts, views and links from public Telegram channels.
- [Google Ads Transparency Scraper](https://apify.com/oski/google-ads-transparency-scraper): see the ads an app's publisher is running on Google.
- [Facebook Ad Library Scraper](https://apify.com/oski/facebook-ad-library-scraper): the same for Meta ads.
- [Website Contact Finder](https://apify.com/oski/website-contact-finder): emails, phones and socials from a developer's website.

# Actor input Schema

## `appIds` (type: `array`):

The apps to get reviews for, one per line. Type the app's name as it appears in the App Store (Instagram), paste its App Store link, or use its ID (389801252). Names are matched in the first country below.

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

Which country App Stores to read, one per line. Country names or codes both work: United Kingdom, UK, gb, US, Germany. Each country has its own reviews, so more countries means more reviews.

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

How many reviews to collect per app in total across the chosen countries. Each country gives up to 1,000, so add countries to go further. You are only charged for reviews actually returned: about $0.20 for 1,000 reviews.

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

Order reviews are pulled in. Most recent is the default. Most favourable and most critical are the fastest way to read the best and worst of an app.

## `maxPagesPerCountry` (type: `integer`):

Advanced. Requests per country store, 1 to 50. Each request returns up to 100 reviews, so the default 10 allows 1,000 per country and 50 allows up to 5,000.

## `proxyConfiguration` (type: `object`):

Optional. Apple rate-limits heavy bursts from one IP, so a proxy keeps large multi-app runs healthy.

## Actor input object example

```json
{
  "appIds": [
    "Instagram",
    "https://apps.apple.com/us/app/spotify/id324684580",
    "389801252"
  ],
  "countries": [
    "United States",
    "United Kingdom",
    "CA",
    "AU"
  ],
  "maxReviewsPerApp": 1000,
  "sortBy": "mostrecent",
  "maxPagesPerCountry": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per review: app, country, rating, title, text, author, app version, date and votes.

## `allFields` (type: `string`):

Every field for each review, as raw JSON.

# 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 = {
    "appIds": [
        "Instagram"
    ],
    "countries": [
        "United States",
        "United Kingdom"
    ],
    "maxReviewsPerApp": 1000
};

// Run the Actor and wait for it to finish
const run = await client.actor("oski/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 = {
    "appIds": ["Instagram"],
    "countries": [
        "United States",
        "United Kingdom",
    ],
    "maxReviewsPerApp": 1000,
}

# Run the Actor and wait for it to finish
run = client.actor("oski/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 '{
  "appIds": [
    "Instagram"
  ],
  "countries": [
    "United States",
    "United Kingdom"
  ],
  "maxReviewsPerApp": 1000
}' |
apify call oski/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,oski/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/8bfANTb8qttFjFvEY/builds/t0TDjPaOhZtBvLacX/openapi.json