# Music Charts Tracker: Apple Music Ranks by Country (`scrapemint/music-charts-tracker`) Actor

Apple Music top songs and albums charts for any country, up to 100 ranks per chart, from Apple's official feeds. Scheduled runs add rank movement: previous rank, change, new entries, artist drop-offs. For artists, labels and playlist marketers. Keyless.

- **URL**: https://apify.com/scrapemint/music-charts-tracker.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** Marketing, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 music chart rank rows

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

## Music Charts Tracker: Apple Music Ranks by Country

Apple Music charts are different in every country, and they move every day. This actor pulls the official most-played songs and albums charts for any list of countries in one run, up to 100 ranks per chart. Schedule it and every run also tells you what moved: previous rank, change, new entries, artist drop-offs. No login, no API key, no subscription.

Chart analytics platforms charge $10 to $140 a month for dashboards built on this data. Here you pay per row and the first rows of every run are free.

### What you get

One row per ranked entry per chart:

| Field | Description |
|---|---|
| `country`, `chartType` | Which chart this row is from (`top-songs` or `top-albums`) |
| `rank` | Current chart position |
| `previousRank`, `rankChange`, `isNew` | Movement versus your previous run (with "Compare with previous run" on) |
| `droppedOff` | For tracked artists that left the chart |
| `itemId` | Apple Music song or album id |
| `name`, `artistName`, `artistId`, `artistUrl` | Title and artist, with joinable artist id |
| `genres` | Genre names |
| `releaseDate`, `contentAdvisoryRating` | Release date and explicit flag |
| `itemUrl`, `artworkUrl` | Apple Music deep link and cover art |
| `checkedAt` | Timestamp |

### Input

- **Countries**: any Apple storefront codes (`us, gb, de, br, jp, in, ng, ke, ...`)
- **Chart types**: top songs, top albums, or both
- **Chart depth**: up to 100 ranks per chart
- **Track only these artists**: give Apple artist ids and get only their entries; artists with no chart entry return a **free** `rank: null` row, so "not charting" costs nothing
- **Compare with previous run**: keeps rank history between runs for movement fields

5 countries x both charts x top 100 = 1,000 rows in a single run.

### Pricing

Pay per result: **$0.003 per chart row**. First 2 rows of every run are free. Tracked artists missing from a chart are always free rows.

Following one artist across 20 countries daily costs at most $0.06 a day even when they chart everywhere. A daily top-100 songs sweep of 10 countries is $3 a run.

### Typical uses

- **Artists and managers**: track your releases across every market, daily, with movement.
- **Labels and distributors**: catch a track breaking in one territory before it spreads.
- **Playlist and TikTok music marketers**: risers by country are the pitch list.
- **Music journalists and chart-watch accounts**: automated movement feeds per market.
- **A\&R research**: which genres and artists dominate which storefronts.

### Scheduling

Run it daily on an Apify schedule with "Compare with previous run" on. Rank history is kept per chart in a named key-value store, so movement fields are computed automatically. Consume rows via the API, webhooks, or the Google Sheets integration.

### Data notes

Data comes from Apple's official public chart feeds and reflects chart state at run time. Apple refreshes charts throughout the day; movement fields compare against your own previous run, so a stable schedule gives the cleanest deltas.

# Actor input Schema

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

Apple storefront country codes, e.g. us, gb, de, br, jp, ng, ke. One chart per country per chart type.

## `chartTypes` (type: `array`):

Which Apple Music charts to pull.

## `topN` (type: `integer`):

How many ranks to pull per chart (Apple serves up to 100).

## `trackArtistIds` (type: `array`):

Apple artist ids (the number in an Apple Music artist URL). When set, only entries by these artists produce rows; artists with no chart entry produce a FREE rank:null row so you still get the answer.

## `compareWithPrevious` (type: `boolean`):

Remember ranks between runs and report previousRank, rankChange, isNew and droppedOff. Turn on with a schedule for daily movement tracking.

## Actor input object example

```json
{
  "countries": [
    "us",
    "gb"
  ],
  "chartTypes": [
    "top-songs"
  ],
  "topN": 50,
  "trackArtistIds": [],
  "compareWithPrevious": true
}
```

# 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": [
        "us",
        "gb"
    ],
    "chartTypes": [
        "top-songs"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/music-charts-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 = {
    "countries": [
        "us",
        "gb",
    ],
    "chartTypes": ["top-songs"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/music-charts-tracker").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 '{
  "countries": [
    "us",
    "gb"
  ],
  "chartTypes": [
    "top-songs"
  ]
}' |
apify call scrapemint/music-charts-tracker --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/cXyf4HwsQ7KGELfPo/builds/yKxMDbNlWk26eBBxl/openapi.json