# App Store Reviews & Intelligence — search, details & reviews (`vincentkirui/app-store-reviews-scraper`) Actor

Scrape Apple App Store data with no login: search apps, get full app details & ratings, and pull customer REVIEWS paginated across countries. For app developers, ASO agencies and product teams — monitor your app and competitors.

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

## Pricing

from $1.50 / 1,000 results

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 & Intelligence — search, details & reviews

Scrape the **Apple App Store** with no login: find apps, pull full app details & ratings, and
extract **customer reviews paginated across countries** — clean, structured, deduped. Built
for the people who already pay to monitor this (app developers, ASO agencies, product & market
research): *what are users saying about my app — or my competitor's?*

| Mode | What you get | Use it for |
|---|---|---|
| **Reviews** | Customer reviews for any app IDs — rating, title, text, author, app version, per country | Sentiment tracking, competitor monitoring, feature-request mining, release feedback |
| **Search apps** | Apps matching a term, with ratings & metadata | Market/competitor discovery, ASO keyword research |
| **App details** | Full details for app IDs (version, price, genre, size, rating breakdown) | Enrichment, competitor tracking, catalog building |

### Why a scraper (not a curl)

Apple paginates reviews (50/page, ~10 pages) **per country** with no bulk endpoint — pulling
a clean, deduped, multi-region review set is fiddly work. This actor handles the pagination,
multi-country fan-out, dedupe, and normalization, with rotating proxies + backoff so large
pulls complete.

### Output

Flat JSON rows (CSV/Excel/JSON/API). Reviews: `app_id`, `country`, `rating` (1–5), `title`,
`text`, `author`, `app_version`, `updated`. Apps: `name`, `seller`, `genre`, `rating_avg`,
`rating_count`, `version`, `price`, `url`, `description`.

### Input examples

```json
{ "mode": "reviews", "appIds": ["310633997"], "countries": ["us","gb","ca"], "maxItems": 500 }
```

```json
{ "mode": "search", "searchTerm": "meditation", "country": "us", "maxItems": 50 }
```

```json
{ "mode": "lookup", "appIds": ["571800810", "493145008"], "country": "us" }
```

Get an app ID from its store URL: `apps.apple.com/us/app/.../id310633997` → `310633997`.

### Legal

Uses Apple's public iTunes Search / RSS APIs for publicly available app and review data. No
login, no circumvention. Handle any personal data within applicable law.

### Pricing

Pay-per-event: a small actor-start fee plus a per-item charge for each app / review returned.

# Actor input Schema

## `mode` (type: `string`):

reviews = customer reviews for app IDs; search = find apps by term; lookup = full app details for IDs

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

Apple numeric app IDs, e.g. 310633997 (from a store URL: apps.apple.com/.../id310633997).

## `searchTerm` (type: `string`):

App name or keyword to search for.

## `country` (type: `string`):

Two-letter store country code (us, gb, ke, in, ...).

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

Pull reviews from several stores. Overrides Country when set.

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

Order reviews by most recent or most helpful.

## `maxPages` (type: `integer`):

Apple caps at ~10 pages (about 500 recent reviews) per country.

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

Stop after this many results total.

## Actor input object example

```json
{
  "mode": "reviews",
  "appIds": [
    "310633997"
  ],
  "searchTerm": "meditation",
  "country": "us",
  "countries": [
    "us",
    "gb",
    "ca"
  ],
  "sort": "mostrecent",
  "maxPages": 10,
  "maxItems": 200
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped App Store apps and reviews in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vincentkirui/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("vincentkirui/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 '{}' |
apify call vincentkirui/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vincentkirui/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/rcF4yFxoba0BYbtIa/builds/DUzm2vVD9O0KEaeGe/openapi.json