# Wedig - Buy-First Music Discovery (`nanas_sound/wedig-music-discovery`) Actor Describe a mood, genre, BPM range, label, or seed track and get a real, sourced crate of tracks with one-tap Buy links. - **URL**: https://apify.com/nanas\_sound/wedig-music-discovery.md - **Developed by:** [Nanas Sound](https://apify.com/nanas_sound) (community) - **Categories:** E-commerce, AI, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.15 / completed dig This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Wedig — Buy-First Music Discovery 🎶 Describe a mood, genre, BPM range, label, or a track you already love — and get back a **real, sourced crate of music** you can buy and stream right now. Built for **DJs and record collectors** who want to dig deeper without wading through algorithmic sludge. Every track comes with one-tap **Buy** links (Beatport, Bandcamp, Discogs) and stream link-outs. The AI is the **librarian, never the artist**: it finds and organises music made by humans, and **never generates audio or fabricates track data**. If a track shows up in your crate, it exists and you can go buy it. --- ### ✨ What you can do with it - **Dig by vibe** — "deep dubby techno 120–125bpm", "sunday-morning ambient for coffee", "sweaty warehouse acid". - **Dig by reference** — "tracks like Burial – Archangel", "more of the Basic Channel sound". - **Dig by label or scene** — "Detroit techno on Transmat", "modern dub on Echocord". - **Build a set or a shopping list** — export a ready-to-import **M3U playlist**, or pull structured data into your own tools. --- ### 📥 Input | Field | Type | Required | Description | |---|---|---|---| | `prompt` | string | ✅ | What you want to dig for — a mood, genre, BPM range, label, or seed track. Keep it under 2000 characters. | | `format` | string | — | `json` (default) returns structured track data. `m3u` returns an extended M3U playlist file. | **Example input** ```json { "prompt": "deep dubby techno 120-125bpm on Ostgut Ton", "format": "json" } ```` *** ### 📤 Output #### JSON (default) Each **track** is pushed as one row in the dataset, and the **full crate** (title, summary, prompt, all tracks) is saved to the key-value store as `OUTPUT`. | Field | Description | |---|---| | `position` | Order of the track within the crate | | `artist` | Artist name | | `title` | Track title | | `release` | Release / album name | | `label` | Record label | | `year` | Release year | | `bpm` | Tempo (beats per minute), when known | | `key` | Musical key, when known | | `recording_mbid` | MusicBrainz recording ID (a real, verified identifier) | | `rationale` | Why this track was picked for your crate | | `buy_links` | Store → URL map (Beatport, Bandcamp, Discogs, iTunes) | | `stream_links` | Stream link-outs (e.g. YouTube) | | `itunes_price` | Digital download price, when available | | `apple_music_id` | Apple Music / iTunes track ID, when available | | `crate_title`, `crate_summary`, `prompt` | The crate context each track belongs to | **Example output (one track)** ```json { "crate_title": "Deep Dubby Techno Ascent", "prompt": "deep dubby techno 120-125bpm", "position": 1, "artist": "Deepchord", "title": "Transit Systems", "release": "Transit Systems", "year": 2022, "bpm": 122, "buy_links": { "beatport": "https://www.beatport.com/search?q=Deepchord+Transit+Systems", "bandcamp": "https://bandcamp.com/search?q=Deepchord+Transit+Systems", "discogs": "https://www.discogs.com/search/?q=Deepchord+Transit+Systems", "itunes": "https://music.apple.com/..." }, "rationale": "Rolling, hypnotic dub chords sitting right in the 120–125 pocket." } ``` #### M3U Set `format` to `m3u` and the Actor saves an extended `#EXTM3U` playlist to the key-value store as `OUTPUT` — ready to drop into your DJ software or media player. *** ### 💸 Pricing This Actor is **pay per event**: you're charged a flat fee only for a **completed dig** — one prompt in, one finished crate out. Failed or empty digs (invalid input, no results) are **not** charged. There's no subscription and no per-track surprise; each successful crate is a single, predictable charge. *** ### 🔍 How it works Behind the scenes, your prompt is run through an AI discovery engine that reasons over trusted, human-maintained music databases — **MusicBrainz**, **ListenBrainz**, **Last.fm**, **Discogs**, **iTunes**, and **Apple Music** — to assemble a coherent crate, then resolves real purchase and streaming links for every track. Nothing is invented: tracks are anchored to verified MusicBrainz identifiers, and anything that can't be sourced is dropped. *** ### ❓ FAQ **Does it generate or host any audio?** No. It only finds, verifies, and links to music that already exists. Purchases happen on the stores you already use. **Why might `bpm` or `key` be empty for some tracks?** Those values come from the underlying databases. When a source hasn't tagged them, the field is left empty rather than guessed. **How many tracks do I get per dig?** A crate is typically a curated handful up to ~16 tracks, depending on how much strong, sourceable material fits your prompt. **Can I feed a track as a seed?** Yes — reference an artist and title (e.g. "tracks like Rhythm & Sound – Never Tell You") and the crate will build outward from it. # Actor input Schema ## `prompt` (type: `string`): Describe what you want to dig for — a mood, genre, BPM range, label, or seed track. Example: 'deep dubby techno 120-125bpm on Ostgut Ton'. ## `format` (type: `string`): 'json' returns structured tracks pushed to the dataset. 'm3u' returns an extended M3U playlist saved to the key-value store as OUTPUT. ## Actor input object example ```json { "prompt": "deep dubby techno 120-125bpm", "format": "json" } ``` # Actor output Schema ## `tracks` (type: `string`): No description ## `crate` (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 = { "prompt": "deep dubby techno 120-125bpm" }; // Run the Actor and wait for it to finish const run = await client.actor("nanas_sound/wedig-music-discovery").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 = { "prompt": "deep dubby techno 120-125bpm" } # Run the Actor and wait for it to finish run = client.actor("nanas_sound/wedig-music-discovery").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 '{ "prompt": "deep dubby techno 120-125bpm" }' | apify call nanas_sound/wedig-music-discovery --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nanas_sound/wedig-music-discovery", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wedig - Buy-First Music Discovery", "description": "Describe a mood, genre, BPM range, label, or seed track and get a real, sourced crate of tracks with one-tap Buy links.", "version": "0.2", "x-build-id": "AyMIUAZSqOcQV55JP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nanas_sound~wedig-music-discovery/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nanas_sound-wedig-music-discovery", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nanas_sound~wedig-music-discovery/runs": { "post": { "operationId": "runs-sync-nanas_sound-wedig-music-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nanas_sound~wedig-music-discovery/run-sync": { "post": { "operationId": "run-sync-nanas_sound-wedig-music-discovery", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "prompt" ], "properties": { "prompt": { "title": "Prompt", "maxLength": 2000, "type": "string", "description": "Describe what you want to dig for — a mood, genre, BPM range, label, or seed track. Example: 'deep dubby techno 120-125bpm on Ostgut Ton'." }, "format": { "title": "Output format", "enum": [ "json", "m3u" ], "type": "string", "description": "'json' returns structured tracks pushed to the dataset. 'm3u' returns an extended M3U playlist saved to the key-value store as OUTPUT.", "default": "json" } } }, "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 } } } } } } } } } } ```