# NetEase Cloud Music — Toplist & Playlist Scraper (`jungle_synthesizer/netease-cloud-music-toplist-playlist-scraper`) Actor Scrapes track rankings from NetEase Cloud Music (网易云音乐) toplists using the public API. Returns playlist info, rank positions, artist/album metadata, and popularity scores. Useful for music-licensing research and Spotify/Apple Music migration tooling. - **URL**: https://apify.com/jungle\_synthesizer/netease-cloud-music-toplist-playlist-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media, For creators - **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## 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 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 ## NetEase Cloud Music — Toplist & Playlist Scraper Scrapes track rankings and metadata from NetEase Cloud Music (网易云音乐) toplists and playlists using the public API. Returns playlist info, rank positions, artist/album metadata, and popularity scores — no login required. ### What This Scraper Does NetEase Cloud Music is one of China's two dominant streaming platforms (~600M MAU). This actor uses the unsigned public legacy API (`/api/playlist/detail`) to pull ranked track data from official toplists — 飙升榜 (Hot Rise), 新歌榜 (New Songs), 原创榜 (Original), 热歌榜 (Hot Songs), and 10+ others — as well as any user-supplied playlist ID. Each run returns one flat record per track with full playlist context, making the output ready for chart analysis, playlist migration tooling, or music-licensing research. ### Key Features - Covers 14 built-in official toplists by default (no configuration needed) - Accepts a custom list of playlist IDs to scrape arbitrary public playlists - Returns playlist-level stats (play count, subscriber count, cover URL) alongside every track record - Rank position within each playlist is included as `rankPosition` (1-indexed) - Multi-artist tracks are pipe-separated in `artists` and `artistIds` - No authentication, no captcha, no proxy required ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | 10 | Maximum number of track records to return across all playlists | | `playlistIds` | array | [] | List of NetEase playlist IDs. Leave empty to use all built-in toplists | #### Example Input ```json { "maxItems": 500, "playlistIds": [3779629, 19723756, 3778678] } ```` Leave `playlistIds` empty to scrape all 14 built-in official toplists (~1,400 records total, one per track). ### Output Each record in the dataset represents one track in one playlist: ```json { "playlistId": 3779629, "playlistName": "飙升榜", "playlistType": "toplist", "playlistCoverUrl": "https://p3.music.126.net/...", "playlistTrackCount": 100, "playlistPlayCount": 3197395200, "playlistSubscribedCount": 2797359, "playlistUpdatedAt": "2026-06-01T00:10:00.510Z", "rankPosition": 1, "trackId": 3382908505, "trackName": "玻璃", "trackAlias": null, "durationMs": 185040, "artists": "Gareth.T", "artistIds": "32944030", "albumId": 376798712, "albumName": "玻璃", "albumCoverUrl": "http://p4.music.126.net/...", "publishTimeMs": 1779206400000, "trackShareUrl": "https://music.163.com/song?id=3382908505", "isExplicit": false, "popularityScore": 100, "snapshottedAt": "2026-06-01T17:38:08.095Z" } ``` ### Use Cases - **Music-licensing research** — identify trending Chinese tracks with artist/album attribution - **A\&R scouting** — monitor chart movers across 14 official NetEase toplists - **Playlist migration** — extract track IDs for cross-platform mapping to Spotify/Apple Music via ISRC - **Chart analytics** — track popularity scores and rank shifts over time with periodic runs ### Built-in Toplists | Playlist ID | Name | Description | |------------|------|-------------| | 3779629 | 飙升榜 | Hot Rise Chart | | 19723756 | 新歌榜 | New Songs Chart | | 3778678 | 原创榜 | Original Chart | | 2884035 | 云音乐热歌榜 | Hot Song Chart | | 3778679 | 云音乐飙升榜 | Rise Chart | | 71384707 | 云音乐新歌榜 | New Music Chart | | 10520166 | 抖音排行榜 | Douyin/TikTok Chart | | 745956260 | 云音乐国际榜 | International Chart | | 991319590 | 云音乐说唱榜 | Hip-Hop Chart | | 180106 | 云音乐ACG音乐榜 | ACG Chart | | 60198 | 云音乐韩语榜 | Korean Chart | | 3812895 | 云音乐粤语榜 | Cantonese Chart | | 1978921795 | 云音乐摇滚榜 | Rock Chart | | 2006421348 | 云音乐民谣榜 | Folk Chart | ### Technical Notes The actor calls the unsigned public legacy API endpoint (`/api/playlist/detail?id=`). Each playlist returns up to 100 tracks in a single response. No authentication is required. Modern `/weapi/*` encrypted endpoints are intentionally avoided. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of track records to return across all playlists. ## `playlistIds` (type: `array`): List of NetEase playlist IDs to scrape. Leave empty to use all official toplists (飙升榜, 新歌榜, 原创榜, 热歌榜, etc.). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "playlistIds": [ 3779629, 19723756, 3778678, 2884035, 3778679 ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "playlistIds": [ 3779629, 19723756, 3778678, 2884035, 3778679 ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/netease-cloud-music-toplist-playlist-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "playlistIds": [ 3779629, 19723756, 3778678, 2884035, 3778679, ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/netease-cloud-music-toplist-playlist-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "playlistIds": [ 3779629, 19723756, 3778678, 2884035, 3778679 ] }' | apify call jungle_synthesizer/netease-cloud-music-toplist-playlist-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/netease-cloud-music-toplist-playlist-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NetEase Cloud Music — Toplist & Playlist Scraper", "description": "Scrapes track rankings from NetEase Cloud Music (网易云音乐) toplists using the public API. Returns playlist info, rank positions, artist/album metadata, and popularity scores. Useful for music-licensing research and Spotify/Apple Music migration tooling.", "version": "0.1", "x-build-id": "JtNmIcF9xVkS1NjQ3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~netease-cloud-music-toplist-playlist-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-netease-cloud-music-toplist-playlist-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/jungle_synthesizer~netease-cloud-music-toplist-playlist-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-netease-cloud-music-toplist-playlist-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/jungle_synthesizer~netease-cloud-music-toplist-playlist-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-netease-cloud-music-toplist-playlist-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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of track records to return across all playlists.", "default": 10 }, "playlistIds": { "title": "Playlist IDs", "type": "array", "description": "List of NetEase playlist IDs to scrape. Leave empty to use all official toplists (飙升榜, 新歌榜, 原创榜, 热歌榜, etc.).", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```