# Reference Track Analyzer (`nytemairqt/reference-track-analyzer`) Actor Analyze any song or reference track: extract BPM, key, loudness, energy, genre tags, release info, and more. Uses Spotify API + MusicBrainz. Input a track name, artist, or Spotify URL. - **URL**: https://apify.com/nytemairqt/reference-track-analyzer.md - **Developed by:** [Cody](https://apify.com/nytemairqt) (community) - **Categories:** Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.06 / actor start 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 ## Reference Track Analyzer Analyze any song or reference track: extract BPM, key, loudness, energy, genre tags, release info, and more. ### 🎯 Use Cases - **Mix engineers** — Match reference tracks to your mix's loudness, BPM, and key - **Producers** — Find the key and BPM of samples or inspiration tracks - **DJs** — Check key compatibility and BPM of tracks before mixing - **Music researchers** — Bulk analyze tracks for metadata, tags, and audio features - **Mastering engineers** — Compare loudness levels across commercial releases ### 🔌 Input | Field | Required | Description | |-------|----------|-------------| | `search` | ✅ Yes | Track name, artist, or Spotify URL. "Daft Punk - Get Lucky" or "Billie Eilish - Happier Than Ever" | | `maxResults` | No (default: 5) | Max tracks to return (1-20) | | `spotifyClientId` | No | Spotify API Client ID. Only needed for BPM/key/loudness. | | `spotifyClientSecret` | No | Spotify API Client Secret. Only needed for BPM/key/loudness. | ### 📤 Output #### Always included (MusicBrainz) - Track name, artist, album - Release year and release date - Genre tags (electronic, funk, disco, etc.) - MusicBrainz URL #### With Spotify credentials (requires Premium on app owner's account) - BPM (tempo) - Musical key and mode (e.g. F# minor) - Loudness in dB (not LUFS but correlated) - Energy, danceability, acousticness - Valence (musical positiveness) - Time signature - Spotify URL and popularity score #### Example output ```` 1. Get Lucky by Daft Punk Album: Random Access Memories | Released: 2013 BPM: 116.1 | Key: F# minor | Loudness: -9.2 dB Energy: 0.78 | Danceability: 0.82 Tags: electronic, funk, disco, french house ```` ### 🎵 Data Sources | Source | Auth Required | Data Provided | |--------|--------------|---------------| | MusicBrainz | None (free) | Track name, artist, album, release info, genre tags | | Spotify | Client ID + Secret | BPM, key, loudness, energy, danceability, popularity | ### 💡 Tips - For best results, use **Artist - Track** format: `Daft Punk - Get Lucky` - Paste a Spotify URL directly: `https://open.spotify.com/track/...` - Spotify credentials are **optional** — the tool works without them - Spotify Premium may be required on the app owner's account for API access ### 🔑 Getting Spotify Credentials (Optional) 1. Go to https://developer.spotify.com/dashboard 2. Create a new app 3. Copy Client ID and Client Secret 4. Paste them into the input fields # Actor input Schema ## `search` (type: `string`): Track name, artist, or Spotify URL. Examples: 'Daft Punk - Get Lucky', 'Billie Eilish - Happier Than Ever', 'https://open.spotify.com/track/...' ## `max_results` (type: `integer`): Maximum number of tracks to return ## `spotify_client_id` (type: `string`): ⚠️ Requires Spotify Premium on the app owner's account. Free at developer.spotify.com. Only needed for BPM, key, loudness, energy analysis. Leave blank for text-only metadata (still works). ## `spotify_client_secret` (type: `string`): ⚠️ Requires Spotify Premium on the app owner's account. Only needed for BPM, key, loudness analysis. Leave blank for text-only metadata (still works). ## Actor input object example ```json { "search": "Daft Punk - Get Lucky", "max_results": 5 } ```` # 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 = { "search": "Daft Punk - Get Lucky" }; // Run the Actor and wait for it to finish const run = await client.actor("nytemairqt/reference-track-analyzer").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 = { "search": "Daft Punk - Get Lucky" } # Run the Actor and wait for it to finish run = client.actor("nytemairqt/reference-track-analyzer").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 '{ "search": "Daft Punk - Get Lucky" }' | apify call nytemairqt/reference-track-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nytemairqt/reference-track-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reference Track Analyzer", "description": "Analyze any song or reference track: extract BPM, key, loudness, energy, genre tags, release info, and more. Uses Spotify API + MusicBrainz. Input a track name, artist, or Spotify URL.", "version": "0.1", "x-build-id": "DYtlAFEHniUmL7thM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nytemairqt~reference-track-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nytemairqt-reference-track-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nytemairqt~reference-track-analyzer/runs": { "post": { "operationId": "runs-sync-nytemairqt-reference-track-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nytemairqt~reference-track-analyzer/run-sync": { "post": { "operationId": "run-sync-nytemairqt-reference-track-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search" ], "properties": { "search": { "title": "Track or Artist", "type": "string", "description": "Track name, artist, or Spotify URL. Examples: 'Daft Punk - Get Lucky', 'Billie Eilish - Happier Than Ever', 'https://open.spotify.com/track/...'" }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of tracks to return", "default": 5 }, "spotify_client_id": { "title": "Spotify Client ID (optional)", "type": "string", "description": "⚠️ Requires Spotify Premium on the app owner's account. Free at developer.spotify.com. Only needed for BPM, key, loudness, energy analysis. Leave blank for text-only metadata (still works)." }, "spotify_client_secret": { "title": "Spotify Client Secret (optional)", "type": "string", "description": "⚠️ Requires Spotify Premium on the app owner's account. Only needed for BPM, key, loudness analysis. Leave blank for text-only metadata (still works)." } } }, "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 } } } } } } } } } } ```