# App Store Keywords Scraper - Ranked Apps & Ratings (`eliai/app-store-keywords-scraper`) Actor

See which iOS apps rank for any App Store keyword, in search order: rank, app, seller, price, rating and rating count, category, version, size and update date. Any storefront, bulk keywords. $0.002 per app.

- **URL**: https://apify.com/eliai/app-store-keywords-scraper.md
- **Developed by:** [Broke to Built](https://apify.com/eliai) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 1,000 scraped apps

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## App Store Keywords Scraper — Ranked Apps & Ratings

See **which iOS apps rank for any App Store keyword**, in Apple's own search order: rank, app
name, seller, price, rating and rating count, category, version, size and update date.

Any storefront. No API key, no account. **$0.002 per app** — a keyword with no results is recorded
and **not charged**.

### Input

```json
{ "keyword": "habit tracker", "maxApps": 50, "country": "us" }
```

Bulk, on another storefront:

```json
{ "keywords": ["habit tracker", "note taking", "budget app"], "maxApps": 25, "country": "de" }
```

| Field | Type | Notes |
|---|---|---|
| `keyword` | string | A term as a user would type it into the App Store. |
| `keywords` | string\[] | Up to 20 per run. |
| `maxApps` | integer | 1–200 per keyword, in ranked order. **Charged per app.** |
| `country` | string | Storefront — `us`, `gb`, `de`, `jp`. Rankings differ per storefront. |
| `includeIpad` | boolean | Also return iPad-only apps. |

### Output

```json
{
  "ok": true,
  "keyword": "habit tracker",
  "country": "us",
  "rank": 1,
  "appName": "Habit Tracker",
  "seller": "Inner Grow Limited",
  "bundleId": "com.innergrow.habittracker",
  "url": "https://apps.apple.com/us/app/habit-tracker/id1438388363",
  "price": 0,
  "formattedPrice": "Free",
  "isFree": true,
  "rating": 4.79,
  "ratingCount": 146594,
  "primaryGenre": "Productivity",
  "genres": ["Productivity", "Health & Fitness"],
  "version": "2.14.23",
  "releasedAt": "2019-01-31T09:10:14Z",
  "updatedAt": "2026-08-15T15:18:18Z",
  "fileSizeMb": 324,
  "minimumOsVersion": "15.0",
  "contentRating": "4+",
  "screenshotCount": 10
}
```

### What it gets right

- ⭐ **`rank` is explicit.** Apple returns results in search order and nothing else — position is
  implicit in array order, which is lost the moment you sort a spreadsheet or load a database.
  "Where do I place for this keyword?" is the question the tool exists to answer, so rank is a
  dense, 1-based column that restarts per keyword, and the spec asserts it.
- **Size is a number.** Apple returns `fileSizeBytes` as a **string**; a size you cannot sort is
  not a size. You get `fileSizeMb` as an integer.
- **`isFree` agrees with `price`** — asserted, so it cannot drift into an independent guess.
- **Ratings are rounded sanely** (`4.79216` → `4.79`) and the current-version rating is kept
  separately, because a good lifetime average can hide a bad recent release.
- **Storefronts really differ**, and `country` is echoed on every row so merged exports stay
  unambiguous.
- **The response is parsed, not trusted by header** — Apple serves this endpoint as
  `text/javascript`.

### Pricing

**$0.002 per app returned.** A 25-app look at one keyword is 5 cents. A keyword with no results
produces an `appCount: 0` record and **is not charged**.

### Limits

- 20 keywords per run, up to 200 apps each (Apple's own ceiling).
- **iOS / Apple App Store only.** Google Play is a different store and is not covered here.
- Apple rate-limits aggressive use; a refusal is reported as a clear error rather than an empty
  run.
- Search rank reflects Apple's ranking at read time for that storefront, which moves.

### FAQ

**Do I need an API key?** No — this uses Apple's own public Search API.

**Does it cover Google Play?** No. Different store, different market.

**Why does rank differ from what I see in the App Store app?** Apple personalises on-device
results; this is the unpersonalised storefront ranking.

### Changelog

- **0.1 (2026-09-10)** — first release. Explicit rank, numeric size, price/free agreement,
  per-storefront search, bulk keywords.

# Actor input Schema

## `keyword` (type: `string`):

A search term as a user would type it into the App Store, e.g. habit tracker.

## `keywords` (type: `array`):

Several keywords in one run. Up to 20.

## `maxApps` (type: `integer`):

Apple returns up to 200 per search, in ranked order. You are charged per app returned.

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

Two-letter App Store storefront, e.g. us, gb, de, jp. Rankings differ per storefront.

## `includeIpad` (type: `boolean`):

Also return apps published only for iPad.

## Actor input object example

```json
{
  "keyword": "habit tracker",
  "keywords": [],
  "maxApps": 25,
  "country": "us",
  "includeIpad": false
}
```

# Actor output Schema

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

Every item this run produced, as JSON.

## `resultsCsv` (type: `string`):

The same items as a spreadsheet-ready CSV.

# 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 = {
    "keyword": "habit tracker",
    "keywords": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("eliai/app-store-keywords-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 = {
    "keyword": "habit tracker",
    "keywords": [],
}

# Run the Actor and wait for it to finish
run = client.actor("eliai/app-store-keywords-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 '{
  "keyword": "habit tracker",
  "keywords": []
}' |
apify call eliai/app-store-keywords-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,eliai/app-store-keywords-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/iIhi0k4h0xtwWu1cu/builds/hqoxdMahMA98uxX0G/openapi.json