# App Store Rankings — Charts & Keyword Positions (`spigot/app-store-rankings`) Actor

Daily Apple App Store chart positions and keyword search rankings for any country. Public Apple endpoints, no login, clean JSON.

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

## Pricing

$2.00 / 1,000 ranking records

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/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

## App Store Rankings — Charts & Keyword Positions

Apple publishes where an app *stands today* and keeps no history of it. This Actor
captures both kinds of ranking as clean JSON, for any storefront:

- **Chart rank** — "this app is #3 in Top Free / Germany / Games right now"
- **Keyword rank** — "this app is #7 when someone searches *vpn* in Germany"

Run it on a schedule and you own a ranking history nobody can reconstruct later —
Apple does not serve yesterday's charts at any price.

### What you get

One row per app, per list, per run:

```json
{
  "capturedOn": "2026-08-22",
  "country": "de",
  "listKind": "chart",
  "listId": "chart:top-free",
  "chart": "top-free",
  "genreId": null,
  "term": null,
  "rank": 3,
  "app": {
    "id": "1234567890",
    "name": "Example App",
    "developer": "Example GmbH",
    "bundleId": "com.example.app",
    "price": 0,
    "currency": "EUR",
    "genre": "Utilities"
  }
}
```

Keyword rows carry `listKind: "keyword"`, `term`, and `chart: null`.

### Input

| Field | Meaning | Default |
|---|---|---|
| `countries` | Storefronts, two-letter lowercase (`de`, `us`, `gb`); max 4 | `["de","us"]` |
| `charts` | `top-free`, `top-paid`, `top-grossing` | `["top-free","top-paid"]` |
| `genreIds` | Apple genre ids collected **in addition to** the overall chart, e.g. `6014` (Games) | `[]` |
| `keywords` | Search terms to rank (max 10) | `["vpn","photo editor","budget"]` |
| `chartLimit` | Positions per chart (Apple caps at 200) | `50` |
| `keywordLimit` | Positions per keyword | `25` |
| `maxResults` | Hard cap on rows for the run | `5000` |

### Runtime

Apple's endpoints are queried politely, and the run time is set by how many *lists*
you ask for, not by how many rows come back:

```
lists = countries × charts × (1 + genreIds) + countries × keywords
```

The first ten lists take about two seconds each; beyond that the politeness budget
holds at ten requests a minute, so each further list adds roughly six seconds.

| Input | Lists | Roughly |
|---|---|---|
| Defaults (2 countries, 2 charts, 3 keywords) | 10 | 30 seconds |
| 3 countries, 3 charts, 5 keywords | 24 | ~2 minutes |
| The input maximum | 76 | 7–8 minutes |

The `maxItems` limits (4 countries, 3 charts, 2 genres, 10 keywords) exist to keep a
run from silently becoming a half-hour job. Split a bigger job across scheduled runs.

### Notes

- Public, unauthenticated Apple endpoints only: the iTunes RSS chart feeds and the
  iTunes Search API. No login, no paywall, nothing circumvented.
- No personal data, and no reviews — only app metadata and list positions.
- A ranking is a snapshot of the moment it was taken. Charts move during the day;
  schedule the run at a fixed hour if you want comparable days.

# Actor input Schema

## `countries` (type: `array`):

App Store storefronts as two-letter lowercase country codes (de, us, gb, ...). Each extra country costs about one request per list.

## `charts` (type: `array`):

Which top charts to capture.

## `genreIds` (type: `array`):

Apple genre ids collected in addition to the overall chart, e.g. 6014 for Games. Each one adds a full pass over countries x charts.

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

Search terms. The order of Apple's search results is the keyword ranking.

## `chartLimit` (type: `integer`):

How many positions to capture per chart. Apple caps this at 200.

## `keywordLimit` (type: `integer`):

How many search positions to capture per keyword.

## `maxResults` (type: `integer`):

Hard cap on dataset rows for this run.

## Actor input object example

```json
{
  "countries": [
    "de",
    "us"
  ],
  "charts": [
    "top-free",
    "top-paid"
  ],
  "genreIds": [],
  "keywords": [
    "vpn",
    "photo editor",
    "budget"
  ],
  "chartLimit": 50,
  "keywordLimit": 25,
  "maxResults": 5000
}
```

# Actor output Schema

## `rankings` (type: `string`):

Chart positions and keyword search positions as JSON, one record per app per list.

## `rankingsCsv` (type: `string`):

The same rows as CSV, for spreadsheets and ASO tooling.

# 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 = {
    "countries": [
        "de",
        "us"
    ],
    "keywords": [
        "vpn",
        "photo editor",
        "budget"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("spigot/app-store-rankings").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 = {
    "countries": [
        "de",
        "us",
    ],
    "keywords": [
        "vpn",
        "photo editor",
        "budget",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("spigot/app-store-rankings").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 '{
  "countries": [
    "de",
    "us"
  ],
  "keywords": [
    "vpn",
    "photo editor",
    "budget"
  ]
}' |
apify call spigot/app-store-rankings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,spigot/app-store-rankings"
        }
    }
}

```

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/Lekubpz5pLXVc9pIj/builds/oCfmrIg0rSb7DAfjy/openapi.json