# App Store Scraper — App Metadata, Ratings & Reviews (`ponderable_hydrometer/appstore-scraper`) Actor

Get full Apple App Store app metadata — pricing, category, developer, version, ratings — plus keyword search and recent reviews, not just a review dump. Look up by id, URL, bundle id or keyword via Apple's public iTunes APIs. No proxies, no login.

- **URL**: https://apify.com/ponderable\_hydrometer/appstore-scraper.md
- **Developed by:** [Ponderable Hydrometer](https://apify.com/ponderable_hydrometer) (community)
- **Categories:** Developer tools, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/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 Scraper — Apps, Ratings & Reviews

Pull **Apple App Store** data for any app — full metadata, ratings, and recent customer
reviews — straight from Apple's own public iTunes APIs. No proxies, no login, no HTML
scraping, so it's fast and reliable.

Give it app ids, App Store URLs, bundle ids, or keyword searches, and get back clean,
structured data per app.

### Who it's for

- **App developers & ASO** — track your own and competitors' ratings, versions, and review
  sentiment over time.
- **Market & competitor research** — pull a whole category by keyword and compare.
- **Investors / analysts** — monitor rating counts and update cadence as growth signals.
- **AI / data pipelines** — reviews and descriptions as structured input for analysis.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `apps` | array | — | App ids, App Store URLs, or bundle ids (e.g. `284882215`, `com.spotify.client`) |
| `searchTerms` | array | — | Keywords to search; matching apps are returned |
| `country` | string | `us` | Two-letter App Store country code |
| `includeReviews` | boolean | `false` | Also fetch recent reviews (embedded per app) |
| `maxReviews` | integer | `100` | Reviews per app when enabled (up to ~500) |
| `maxAppsPerSearch` | integer | `10` | Apps returned per search term |

Provide at least one of `apps` or `searchTerms`. A single value or a list both work.

```json
{
  "apps": ["284882215", "https://apps.apple.com/us/app/notion/id1232780281"],
  "searchTerms": ["habit tracker"],
  "country": "us",
  "includeReviews": true,
  "maxReviews": 100
}
```

### Output

One row per app:

```json
{
  "appId": 324684580,
  "name": "Spotify: Music and Podcasts",
  "bundleId": "com.spotify.client",
  "seller": "Spotify",
  "price": 0,
  "category": "Music",
  "averageRating": 4.78,
  "ratingCount": 40876140,
  "version": "9.1.62",
  "currentVersionReleaseDate": "2026-07-01T…",
  "releaseNotes": "…",
  "description": "…",
  "url": "https://apps.apple.com/us/app/…",
  "reviews": [
    { "author": "…", "rating": 3, "title": "…", "version": "…", "updated": "…", "content": "…" }
  ]
}
```

`reviews` is present only when `includeReviews` is on.

### Notes & limits

- Data comes from Apple's public iTunes lookup/search APIs and the App Store reviews RSS
  feed — official, no scraping tricks required.
- Reviews are the **most recent** ones (the RSS feed exposes roughly the latest ~500 per
  app/country), not the full historical set.
- Ratings and reviews are **per country** — set `country` accordingly (`us`, `gb`, `de`, …).
- This covers the **Apple App Store** only. (Google Play is a separate roadmap item.)
- Public data; you are responsible for using the output in line with your own legal and
  compliance requirements.

# Actor input Schema

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

Apps to fetch — numeric App Store ids, App Store URLs, or bundle ids. Examples: "284882215", "https://apps.apple.com/us/app/notion/id1232780281", "com.facebook.Facebook".

## `searchTerms` (type: `array`):

Optional keywords to search the App Store; matching apps are returned as results. Example: "habit tracker".

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

Two-letter App Store country code (e.g. us, gb, de).

## `includeReviews` (type: `boolean`):

Also fetch recent customer reviews for each app (embedded in the app row).

## `maxReviews` (type: `integer`):

Cap on reviews fetched per app when 'Include reviews' is on (up to ~500).

## `maxAppsPerSearch` (type: `integer`):

How many matching apps to return per search term.

## Actor input object example

```json
{
  "apps": [
    "284882215",
    "com.spotify.client"
  ],
  "country": "us",
  "includeReviews": false,
  "maxReviews": 100,
  "maxAppsPerSearch": 10
}
```

# 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": [
        "284882215",
        "com.spotify.client"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ponderable_hydrometer/appstore-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 = { "apps": [
        "284882215",
        "com.spotify.client",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ponderable_hydrometer/appstore-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 '{
  "apps": [
    "284882215",
    "com.spotify.client"
  ]
}' |
apify call ponderable_hydrometer/appstore-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ponderable_hydrometer/appstore-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Zj01rg5bFXTYuebDt/builds/LEzHG8OM6rgmdYzru/openapi.json