# App Store Reviews Scraper — iOS Ratings & Reviews (`vujeen/app-store-reviews-scraper`) Actor
Scrape App Store reviews and ratings for any iOS app: rating, title, text, version, author and helpfulness votes. Multiple countries per run, app metadata and rating breakdown included. No login, no API keys.
- **URL**: https://apify.com/vujeen/app-store-reviews-scraper.md
- **Developed by:** [FEDOR TRYAKIN](https://apify.com/vujeen) (community)
- **Categories:** Developer tools, Other
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## App Store Reviews Scraper — iOS Ratings & Reviews
Scrape App Store reviews and ratings for any iOS app — by **app ID**, by
**App Store URL**, or by **searching app names**. No login, no API keys,
no tokens: the Actor reads Apple's public endpoints directly, so it is fast,
cheap and reliable.
### What you get
**Per review:**
| Field | Example |
|---|---|
| `rating` | `1` … `5` |
| `title` | `"Great update!"` |
| `text` | full review body |
| `version` | `12.8` — app version reviewed |
| `author` | reviewer nickname |
| `voteSum` / `voteCount` | helpfulness votes |
| `updated` | `2026-06-11` |
| `country` | `us` |
**Per app** (always returned, even with zero reviews):
app name, developer, store rating, total ratings count, genre, price, and a
ready-made **rating breakdown** (how many 1★/2★/.../5★ among scraped reviews)
plus the average of what was scraped.
### Why this scraper
- **Search or direct** — give app IDs/URLs, or just type a name and the
Actor finds the apps and scrapes them.
- **Multiple countries per run** — reviews are localized; collect `us`, `gb`,
`de`, `kz`… in one go and compare.
- **Always explicit** — every app returns metadata and a status, never a
silent empty result.
- **Built-in analytics** — rating breakdown and averages, no post-processing.
### Use cases
- **App Store Optimization (ASO)** — track sentiment and rating trends per
version and country.
- **Product feedback** — pull what users complain about right after a release.
- **Competitor monitoring** — compare ratings and review volume of rival apps.
- **Market research** — find apps by keyword and measure their reception.
- **Alerting** — run on a Schedule, diff datasets, get notified of new 1★
reviews via integrations (Slack, email, webhooks).
### Input
```json
{
"appIds": ["686449807", "https://apps.apple.com/us/app/x/id389801252"],
"searchTerms": ["pdf scanner"],
"countries": ["us", "gb", "de"],
"maxPages": 5,
"sort": "mostRecent"
}
````
- `appIds` — numeric IDs or full App Store URLs.
- `searchTerms` — find apps by name (each returns up to 10 apps).
- `countries` — two-letter App Store codes; reviews are localized.
- `maxPages` — Apple exposes up to 10 pages (~50 reviews each) per app/country.
- `sort` — `mostRecent` or `mostHelpful`.
### Output example
```json
{
"type": "review",
"appId": "686449807",
"country": "us",
"rating": 1,
"title": "Ban",
"text": "Got banned for no reason...",
"version": "12.8",
"author": "Meovvm",
"voteSum": 0,
"voteCount": 0,
"updated": "2026-06-11"
}
```
```json
{
"type": "app",
"appId": "686449807",
"country": "us",
"name": "Telegram Messenger",
"seller": "Telegram FZ-LLC",
"rating": 4.01,
"ratingsCount": 270938,
"reviewsScraped": 100,
"avgScrapedRating": 2.92,
"ratingBreakdown": { "1": 41, "2": 5, "3": 11, "4": 7, "5": 36 }
}
```
### FAQ
**Do I need an Apple account or API key?** No — only public endpoints.
**How many reviews can I get?** Apple exposes up to ~500 most-recent reviews
per app per country (10 pages × ~50). Scrape multiple countries to get more.
**Can I monitor an app on a schedule?** Yes — create a Task, attach a
Schedule, and consume new reviews via API, webhooks or integrations.
**Android / Google Play?** This Actor covers the Apple App Store.
# Actor input Schema
## `appIds` (type: `array`):
Numeric app IDs (e.g. 686449807) or full App Store URLs (e.g. https://apps.apple.com/us/app/telegram/id686449807).
## `searchTerms` (type: `array`):
Find apps by name and scrape their reviews. Each term returns up to 10 apps (searched in the first country).
## `countries` (type: `array`):
Two-letter App Store country codes, e.g. us, gb, de, kz. Reviews are localized per country.
## `maxPages` (type: `integer`):
Apple exposes up to 10 pages (~50 reviews each = ~500 reviews) per app per country.
## `sort` (type: `string`):
Order of returned reviews: newest first, or most helpful (most up-voted) first.
## Actor input object example
```json
{
"appIds": [
"686449807"
],
"searchTerms": [],
"countries": [
"us"
],
"maxPages": 5,
"sort": "mostRecent"
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"appIds": [
"686449807"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("vujeen/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "appIds": ["686449807"] }
# Run the Actor and wait for it to finish
run = client.actor("vujeen/app-store-reviews-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
"686449807"
]
}' |
apify call vujeen/app-store-reviews-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=vujeen/app-store-reviews-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "App Store Reviews Scraper — iOS Ratings & Reviews",
"description": "Scrape App Store reviews and ratings for any iOS app: rating, title, text, version, author and helpfulness votes. Multiple countries per run, app metadata and rating breakdown included. No login, no API keys.",
"version": "1.0",
"x-build-id": "Z9vevhIAzYOB3fxs1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/vujeen~app-store-reviews-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-vujeen-app-store-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/vujeen~app-store-reviews-scraper/runs": {
"post": {
"operationId": "runs-sync-vujeen-app-store-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/vujeen~app-store-reviews-scraper/run-sync": {
"post": {
"operationId": "run-sync-vujeen-app-store-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"appIds": {
"title": "App IDs or App Store URLs",
"type": "array",
"description": "Numeric app IDs (e.g. 686449807) or full App Store URLs (e.g. https://apps.apple.com/us/app/telegram/id686449807).",
"items": {
"type": "string"
}
},
"searchTerms": {
"title": "Search terms",
"type": "array",
"description": "Find apps by name and scrape their reviews. Each term returns up to 10 apps (searched in the first country).",
"default": [],
"items": {
"type": "string"
}
},
"countries": {
"title": "Countries",
"type": "array",
"description": "Two-letter App Store country codes, e.g. us, gb, de, kz. Reviews are localized per country.",
"default": [
"us"
],
"items": {
"type": "string"
}
},
"maxPages": {
"title": "Max pages per app/country",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "Apple exposes up to 10 pages (~50 reviews each = ~500 reviews) per app per country.",
"default": 5
},
"sort": {
"title": "Sort reviews by",
"enum": [
"mostRecent",
"mostHelpful"
],
"type": "string",
"description": "Order of returned reviews: newest first, or most helpful (most up-voted) first.",
"default": "mostRecent"
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```