# App Store & Google Play ASO Keyword Rank Tracker (`santhej/aso-rank-tracker`) Actor

Track which apps rank for any keyword on the App Store and Google Play, and follow your app's ASO position. App ratings, reviews, developer and price included. Multi-store, no API key.

- **URL**: https://apify.com/santhej/aso-rank-tracker.md
- **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community)
- **Categories:** SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per event

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 & Google Play ASO Keyword Rank Tracker

**See which apps rank for any keyword — and track your own app's ASO position — across the Apple App Store and Google Play.** Real App Store Optimization data: rankings, ratings, reviews, developer, and price. No subscription.

### Why this is different

Most app scrapers only pull **reviews**. This Actor does the thing that actually moves installs: **ASO keyword rank tracking** — for a search term, who ranks where, and where *your* app sits. Optimize titles, subtitles, and keywords against real store results.

### What you get per keyword & store

- **Your app's rank** (found across the full search depth) when you provide an app ID
- **Top ranked apps** with: rank, app ID, title, developer, rating, review count, free/paid, price, store URL, icon
- Total apps scanned

### Inputs

- **keywords** — ASO terms to check
- **stores** — `google_play`, `apple`, or both
- **targetAppId** — your app (Google Play package like `com.spotify.music` or Apple numeric ID)
- **locationCode / depth**

### Use cases

- **ASO monitoring** — track keyword rankings over time (schedule it).
- **Competitor research** — see who owns your category's keywords.
- **Keyword targeting** — find terms where you can realistically rank.
- **Market research** — ratings/review counts of the top apps per term.

### How it compares

| | This Actor | Review-only app scrapers |
|---|---|---|
| ASO keyword rank tracking | ✅ | ❌ |
| Track your app's position | ✅ | ❌ |
| Both stores in one run | ✅ | rarely |
| App metadata (rating, reviews, price) | ✅ | partial |

### Pricing

`$0.006` per keyword-per-store check, plus a `$0.001` start fee. 5 keywords on both stores = 10 checks ≈ `$0.06`. No subscription, no API key.

### Example input

```json
{
  "keywords": ["meditation", "sleep sounds"],
  "stores": ["google_play", "apple"],
  "targetAppId": "com.spotify.music",
  "locationCode": "2840",
  "depth": 30
}
```

***

*Tags: aso, app store optimization, app store keyword tracker, google play rank, app rank tracker, aso keyword tool, app store rankings, mobile app seo, keyword rankings, app store search.*

# Actor input Schema

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

ASO search terms to check, one per line, e.g. meditation, habit tracker.

## `stores` (type: `array`):

Which stores to check: google\_play and/or apple (one per line).

## `targetAppId` (type: `string`):

Track this app's rank. Google Play package (e.g. com.spotify.music) or Apple numeric ID (e.g. 324684580).

## `locationCode` (type: `string`):

Store country to check.

## `languageCode` (type: `string`):

Two-letter language code, e.g. en.

## `depth` (type: `integer`):

How deep to scan the store results when finding ranks (10-100).

## `topApps` (type: `integer`):

How many ranked apps to store per keyword (1-50). Your app's rank is found across the full depth regardless.

## `maxBudgetUsd` (type: `number`):

Safety cap. The run aborts before starting if the estimated charge exceeds this.

## `webhookUrl` (type: `string`):

POST the run summary here when finished.

## Actor input object example

```json
{
  "keywords": [
    "meditation"
  ],
  "stores": [
    "google_play",
    "apple"
  ],
  "locationCode": "2840",
  "languageCode": "en",
  "depth": 30,
  "topApps": 20
}
```

# Actor output Schema

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

All platform\_check records and the optional aggregated\_report row.

## `summary` (type: `string`):

High-level run summary including overall visibility score, mention rate, and platform counts.

# 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 = {
    "keywords": [
        "meditation"
    ],
    "stores": [
        "google_play",
        "apple"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("santhej/aso-rank-tracker").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 = {
    "keywords": ["meditation"],
    "stores": [
        "google_play",
        "apple",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("santhej/aso-rank-tracker").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 '{
  "keywords": [
    "meditation"
  ],
  "stores": [
    "google_play",
    "apple"
  ]
}' |
apify call santhej/aso-rank-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,santhej/aso-rank-tracker"
        }
    }
}

```

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/F7aYL0cEjQCG8FtVy/builds/n94LfX0BPpSlrD6lA/openapi.json