# 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, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Melon Charts Scraper - K-Pop Music Trends", "description": "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.", "version": "0.1", "x-build-id": "iqEtn7ghZMfp5bpoS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yohan.kim~melon-charts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yohan.kim-melon-charts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yohan.kim~melon-charts-scraper/runs": { "post": { "operationId": "runs-sync-yohan.kim-melon-charts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yohan.kim~melon-charts-scraper/run-sync": { "post": { "operationId": "run-sync-yohan.kim-melon-charts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "charts": { "title": "Charts", "type": "array", "description": "Which Melon charts to scrape. Each selected chart usually returns 100 ranked songs.", "items": { "type": "string", "enum": [ "top100", "hot100", "daily", "weekly", "monthly", "genre_GN0502", "genre_GN0902", "genre_GN0903", "genre_GN1002", "genre_GN1006", "genre_GN1005", "genre_GN1004", "genre_GN1104", "genre_GN1103", "genre_GN1202", "genre_GN1204", "genre_GN1205", "genre_GN1304", "genre_GN1608", "genre_GN1703", "genre_GN1702", "genre_GN1705", "genre_GN1907", "genre_GN2002", "genre_GN2003" ], "enumTitles": [ "TOP100", "HOT100", "Daily", "Weekly", "Monthly", "Genre: Acoustic Style (어쿠스틱 스타일)", "Genre: Alternative Pop (얼터너티브팝)", "Genre: Oldies (올디스)", "Genre: Modern Rock (모던록)", "Genre: Heavy Metal (헤비메탈)", "Genre: Hard Rock (하드록)", "Genre: Progressive/Art Rock (프로그레시브/아트록)", "Genre: Club Music (클럽뮤직)", "Genre: House (하우스)", "Genre: Pop Rap (팝랩)", "Genre: Gangsta/Hardcore Rap (갱스터/하드코어랩)", "Genre: East&West", "Genre: Urban", "Genre: Crossover (크로스오버)", "Genre: Acid/Pop Jazz (애시드/팝재즈)", "Genre: Vocal Jazz (보컬재즈)", "Genre: Bossa Nova (보사노바)", "Genre: Shibuya-kei (시부야케이)", "Genre: Chanson (샹송)", "Genre: Canzone (칸초네)" ] }, "default": [ "top100" ] }, "maxItems": { "title": "Max items per chart", "minimum": 0, "type": "integer", "description": "Maximum number of ranked songs to return per selected chart. Use 0 for all available rows, usually 100.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. The default uses Apify Proxy." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```