# App Store Reviews Scraper API | iOS, All Countries, $0.10/1K (`tavrov/app-store-reviews`) Actor

Scrape Apple App Store (iOS) reviews from Apple's official public feeds: many countries in one run (or ALL), up to 1,000 reviews per country (most recent + most helpful merged), app search by name, stars, date, version and app rating in every row. $0.10 per 1,000 reviews.

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

## Pricing

$0.10 / 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 API (iOS, all countries)

Scrape Apple App Store reviews for any app, in many countries at once, straight from **Apple's official public review feeds** — no login, no proxies, no blocked runs.

### What makes it different

- **Up to 1,000 reviews per country:** Apple serves 500 "most recent" and 500 "most helpful" — we merge both lists without duplicates.
- **Many countries in one run:** `["us", "gb", "de", "br"]`, or `ALL` for ~90 App Store countries.
- **Paste anything:** App Store URL, app ID, or just the app name (`duolingo`).
- **App context in every row:** app name, developer, average rating, rating count, current version.
- **Filters built in:** star range (e.g. only 1–2 star complaints), last N days, keywords in title/text.
- **Fast and fair:** ~6,000 reviews of 2 apps in 3 countries in under 20 seconds. **$0.10 per 1,000 reviews**, and never above the spending limit you set.

### How much does it cost?

You pay only for reviews saved: **$0.10 per 1,000 reviews** (one event = one review). No monthly fee, no charge for apps that are not found.

| Reviews | Price |
|---|---|
| 1,000 | $0.10 |
| 10,000 | $1.00 |
| 100,000 | $10.00 |

### Input example

```json
{
  "apps": ["https://apps.apple.com/us/app/instagram/id389801252", "duolingo"],
  "countries": ["us", "gb", "br"],
  "maxRating": 2,
  "reviewedWithinDays": 30
}
```

### Output example (real record, 2 Nov 2026; text shortened, author hidden)

```json
{
  "appId": "389801252",
  "appName": "Instagram",
  "developer": "Instagram, Inc.",
  "appRating": 4.69051,
  "appRatingCount": 29663972,
  "appVersion": "453.0",
  "appUrl": "https://apps.apple.com/us/app/instagram/id389801252?uo=4",
  "reviewId": "14735166441",
  "country": "br",
  "rating": 1,
  "title": "Banimentos sem motivo.",
  "text": "Toda conta que eu crio é banida sem nenhum motivo...",
  "author": "...",
  "appVersionReviewed": "453.0",
  "date": "2026-10-31T20:53:33+00:00",
  "helpfulVotes": 0,
  "totalVotes": 0
}
```

### Use cases

- Product and UX teams: find what breaks after each release (filter 1–2 stars + last 7 days)
- Competitor research across markets
- App marketing and ASO: what users love, in their own words
- Sentiment analysis and AI training sets per country

### Notes

- Apple's feed limit is 10 pages × 50 reviews per country and sort. Older reviews are not available from Apple.
- An app that is not found is reported in the log and skipped (you are not charged for it).

Made by Tavrov.

# Actor input Schema

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

App Store URL (https://apps.apple.com/us/app/instagram/id389801252), app ID (389801252) or app name (instagram — the first search result is used).

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

Two-letter App Store country codes (us, gb, de, br, jp...). Use ALL for ~90 stores. Default: us.

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

Apple serves up to 500 reviews per country for each sort. 'Both' merges the two lists without duplicates.

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

Keep reviews with at least this many stars.

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

Keep reviews with at most this many stars (e.g. 2 = only complaints).

## `reviewedWithinDays` (type: `integer`):

Keep only reviews from the last N days.

## `keywords` (type: `array`):

Keep reviews whose title or text contains any of these words (e.g. crash, price, login).

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

Stop after this many reviews (newest first).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "countries": [
    "us"
  ],
  "sort": "both",
  "maxItems": 1000
}
```

# Actor output Schema

## `reviews` (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/instagram/id389801252"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tavrov/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/instagram/id389801252"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("tavrov/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/instagram/id389801252"
  ],
  "countries": [
    "us"
  ]
}' |
apify call tavrov/app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tavrov/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/oXaAMvx7KsF7YsM54/builds/IKtNpv5yYlq742Sl6/openapi.json