# App Store Reviews Scraper API (`unicentrocucuta/appstore-watch`) Actor

App Store reviews scraper API. Official iTunes lookup + reviews RSS. New reviews after baseline. $0.05 per start.

- **URL**: https://apify.com/unicentrocucuta/appstore-watch.md
- **Developed by:** [daniel vera](https://apify.com/unicentrocucuta) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.05 / actor start

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/platform/actors/running/actors-in-store#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 Scraper

**App Store reviews scraper** plus version and price watch. Each run checks official Apple [iTunes lookup](https://performance-partners.apple.com/search-api) and the App Store customer reviews RSS. First run is baseline (recent reviews + current version). Later runs emit **new App Store reviews** and version/price changes only.

Not a full-history review dump. Those already exist. This is the daily tick: shipped a version? price changed? new 1★?

Pay-per-event: **$0.05 per Actor start** + **$0.002 per result**.

### App Store reviews — input

| Field | Required | Notes |
|---|---|---|
| `apps` | yes | App IDs or `apps.apple.com` URLs (max 15) |
| `country` | no | `us` (default), `gb`, `de`, `jp`, `br`… |
| `review_pages` | no | 1–5 pages × 50 reviews |

```json
{
  "apps": ["310633997"],
  "country": "us",
  "review_pages": 1
}
```

WhatsApp = `310633997`. URL form also works: `https://apps.apple.com/app/id310633997`

### Output

`kind=app_meta` when version/price is new or changed.

`kind=review` for baseline reviews (first run) or `change=new` later.

### How to run this App Store scraper

Schedule daily. Support / ASO / brand monitoring.

### Pricing

**$0.05** when the Actor starts + **$0.002** per dataset item.

### Limits

- Apple public lookup + RSS only. **No Google Play.**
- RSS window is recent reviews (not all-time dump).
- Not affiliated with Apple.

### Related monitors

- [Greenhouse Jobs Scraper](https://apify.com/unicentrocucuta/greenhouse-job-watch)
- [Product Price Tracker](https://apify.com/unicentrocucuta/product-price-watch)
- [Website Change Monitor](https://apify.com/unicentrocucuta/url-change-watch)
- [RSS Feed Scraper — New Items](https://apify.com/unicentrocucuta/rss-new-item-watch)
- [GitHub Issues and PR Monitor](https://apify.com/unicentrocucuta/pr-watch-feed)
- [URL Snapshot Archive](https://apify.com/unicentrocucuta/public-source-archive-tick)

Brand: **TemporalOps**.

# Actor input Schema

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

App Store IDs or apps.apple.com URLs (max 15). Example: 310633997 or https://apps.apple.com/app/id310633997

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

Two-letter App Store country (us, gb, de, jp, br…).

## `review_pages` (type: `integer`):

How many RSS pages to read (1–5). First run uses this as baseline.

## Actor input object example

```json
{
  "apps": [
    "310633997"
  ],
  "country": "us",
  "review_pages": 1
}
```

# Actor output Schema

## `kind` (type: `string`):

No description

## `change` (type: `string`):

No description

## `app_id` (type: `string`):

No description

## `name` (type: `string`):

No description

## `version` (type: `string`):

No description

## `rating` (type: `string`):

No description

## `title` (type: `string`):

No description

## `observed_at` (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": [
        "310633997"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("unicentrocucuta/appstore-watch").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": ["310633997"] }

# Run the Actor and wait for it to finish
run = client.actor("unicentrocucuta/appstore-watch").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": [
    "310633997"
  ]
}' |
apify call unicentrocucuta/appstore-watch --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,unicentrocucuta/appstore-watch"
        }
    }
}

```

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/hn5Q0LMDO5slshgZV/builds/YaBpnrc6RlcEhaTej/openapi.json