# Apple App Store Search Scraper — Ranked Results (`thenetaji/apple-app-store-search-scraper`) Actor

Search a country storefront by keyword and export ranked apps with full metadata. Every row includes its app and developer IDs, ratings, price, version, release notes, genres, artwork, screenshots, and source query.

- **URL**: https://apify.com/thenetaji/apple-app-store-search-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Developer tools, Marketing, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Apple App Store Search Scraper

Search an Apple App Store country storefront and save ranked apps with the full catalog record attached. Several queries can run together; `search_query` keeps every row tied to the phrase that found it.

### Run it

```json
{
  "queries": ["spotify", "weather radar"],
  "country": "US",
  "maxItems": 100
}
```

`maxItems` is the total dataset cap across all queries. Apple returns at most 200 results for one search request, so `maxItems: 0` removes the Actor-side cap but does not extend a query past Apple's 200-result ceiling.

### Result shape

```json
{
  "search_query": "spotify",
  "app_id": "324684580",
  "name": "Spotify: Music and Podcasts",
  "bundle_id": "com.spotify.client",
  "developer_id": "324684583",
  "developer_name": "Spotify",
  "formatted_price": "Free",
  "average_rating": 4.77569,
  "rating_count": 41657897,
  "primary_genre": "Music",
  "version": "9.1.76",
  "country": "US"
}
```

Rows also include the app's descriptions, release dates and notes, languages, devices, file size, artwork, screenshots, genres, and public store and publisher links when present.

Rank and membership change by `country`. Run the same `queries` once per storefront when comparing markets; mixing countries into one request is not supported.

If you already have IDs and want to refresh a watchlist, the [Apple App Store App Scraper](https://apify.com/thenetaji/apple-app-store-app-scraper) avoids search. To export one publisher's catalog, use the [Apple App Store Developer Apps Scraper](https://apify.com/thenetaji/apple-app-store-developer-apps-scraper).

# Actor input Schema

## `queries` (type: `array`):

Keywords or phrases to search for. Each query is searched separately.

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

Two-letter App Store storefront code.

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

Maximum records to save across the run. Set 0 for no limit.

## Actor input object example

```json
{
  "queries": [
    "weather radar",
    "photo editor"
  ],
  "country": "US",
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "queries": [
        "weather radar"
    ],
    "country": "US",
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/apple-app-store-search-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 = {
    "queries": ["weather radar"],
    "country": "US",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/apple-app-store-search-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 '{
  "queries": [
    "weather radar"
  ],
  "country": "US",
  "maxItems": 20
}' |
apify call thenetaji/apple-app-store-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/apple-app-store-search-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/PkO6fAUHXxkmU3Nls/builds/oEvBCFirw19USnO0a/openapi.json