# Melon Charts Scraper - K-Pop Music Trends (`yohan.kim/melon-charts-scraper`) Actor

Scrape ranked songs from Melon TOP100, HOT100, daily, weekly, monthly, and verified genre/style charts. Outputs rank movement, song IDs, artists, albums, album art, and canonical Melon URLs.

- **URL**: https://apify.com/yohan.kim/melon-charts-scraper.md
- **Developed by:** [요한 김](https://apify.com/yohan.kim) (community)
- **Categories:** Other
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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.

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

## Melon Music Charts Scraper — K-Pop Chart Data (TOP100, HOT100, Daily, Weekly, Monthly, Genres)

Get charts from [Melon](https://www.melon.com), Korea's #1 music streaming service and **the** canonical K-pop chart that labels, fans and analysts watch first.

The most complete Melon actor on Apify: **TOP100, HOT100, daily, weekly, monthly, plus genre charts** (ballad, hip-hop, R\&B, indie, rock, trot, folk...) — all in one run, with rank-change tracking.

### What you get

For every chart entry: chart name and date, rank, **rank change** (+2 / -1 / NEW), song ID, title, artist(s), album, album art URL, direct Melon song URL, timestamp.

### Use cases

- **K-pop analytics & fandom tools** — power chart-tracking dashboards, fan notifications ("our artist entered TOP100"), and trend reports.
- **Music industry research** — labels and marketers tracking Korean chart performance by genre and period.
- **Media & journalism** — automated chart-movement stories and weekly recaps.
- **Datasets** — schedule daily runs to build a longitudinal K-pop chart dataset (song × rank × time).

### Usage

```json
{
    "charts": ["top100", "daily", "genre_GN0902"],
    "maxItems": 0
}
```

Runs in seconds per chart — no browser, minimal cost. Schedule it daily/hourly and diff ranks over time.

### Notes

- Only publicly visible chart data is collected.
- Korean titles/artists preserved in UTF-8.
- Chart layout changes are monitored and fixed promptly — report issues in the Issues tab.

# Actor input Schema

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

Which Melon charts to scrape. Each selected chart usually returns 100 ranked songs.

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

Maximum number of ranked songs to return per selected chart. Use 0 for all available rows, usually 100.

## `proxyConfiguration` (type: `object`):

Proxy settings. The default uses Apify Proxy.

## Actor input object example

```json
{
  "charts": [
    "top100"
  ],
  "maxItems": 0,
  "proxyConfiguration": {
    "useApifyProxy": 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 = {
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("yohan.kim/melon-charts-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 = { "proxyConfiguration": { "useApifyProxy": True } }

# Run the Actor and wait for it to finish
run = client.actor("yohan.kim/melon-charts-scraper").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 '{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call yohan.kim/melon-charts-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/63RIJQHJfNiStR8ZV/builds/iqEtn7ghZMfp5bpoS/openapi.json