# MusicBrainz Scraper (`parseforge/musicbrainz-scraper`) Actor Scrape music metadata from MusicBrainz covering 70M+ recordings. Get artists, albums, recordings, and labels with genres, countries, release dates, barcodes, and catalog numbers. Search by name across three modes (artists, releases, recordings) with country and type filters. - **URL**: https://apify.com/parseforge/musicbrainz-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Developer tools, Lead generation, Other - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner.jpg) ## 🎶 MusicBrainz Scraper Whether you're building a music metadata service, researching artist discographies, or creating a catalog of recordings, this tool makes it easy to collect structured music data from the world's most comprehensive open music encyclopedia. > **The MusicBrainz Scraper collects artists, releases, and recordings with names, dates, countries, labels, track counts, durations, tags, and more. Search by keyword and filter by country and type.** ### ✨ What Does It Do - 🎤 **Artist data** - collect names, types, countries, areas, active years, tags, and aliases for musicians and bands - 💿 **Release data** - extract titles, release dates, countries, barcodes, labels, catalog numbers, track counts, and formats - 🎵 **Recording data** - get song titles, durations, artist credits, first release dates, and release counts - 🌍 **Country filtering** - narrow results by country code (US, GB, DE, JP, etc.) - 🏷️ **Type filtering** - filter artists by Group or Person, releases by Album, Single, or EP - 🔍 **Flexible search** - find anything in the MusicBrainz database by keyword ### 🔧 Input - **Mode** - choose what to search: Artists, Releases, or Recordings - **Search Query** - search for artists, albums, or songs (e.g., 'radiohead', 'abbey road', 'creep') - **Max Items** - how many items to collect (free users get 10 items, paid users up to 1,000,000) - **Country** - filter by country code (e.g., 'US', 'GB', 'DE') - **Type** - filter by type: for artists use 'Group' or 'Person', for releases use 'Album', 'Single', or 'EP' ```json { "mode": "artists", "query": "radiohead", "maxItems": 50, "country": "GB", "type": "Group" } ```` ### 📊 Output Each record includes data fields specific to the selected mode. Download as JSON, CSV, or Excel. #### Artist Fields | Field | Description | |-------|-------------| | 🔗 url | Artist page on MusicBrainz | | 🎤 name | Artist or band name | | 🏷️ type | Type (Group, Person, Orchestra, etc.) | | 🌍 country | Country code | | 📍 areaName | Geographic area | | 📅 beginDate | Career/life start date | | 📅 endDate | Career/life end date | | 🏷️ tags | Community tags with vote counts | | 📋 aliases | Alternative names | #### Release Fields | Field | Description | |-------|-------------| | 🔗 url | Release page on MusicBrainz | | 💿 title | Release title | | 🎤 artistName | Artist or band name | | 📅 date | Release date | | 🌍 country | Country of release | | 🏷️ labelName | Record label | | 🔢 catalogNumber | Catalog number | | 📊 trackCount | Number of tracks | | 💿 mediaFormat | Format (CD, Vinyl, Digital, etc.) | #### Recording Fields | Field | Description | |-------|-------------| | 🔗 url | Recording page on MusicBrainz | | 🎵 title | Song title | | 🎤 artistName | Artist or band name | | ⏱️ lengthFormatted | Duration (m:ss) | | 📅 firstReleaseDate | Earliest release date | | 📊 releasesCount | Number of releases containing this recording | ```json { "id": "a74b1b7f-71a5-4011-9441-d0b5e4122711", "name": "Radiohead", "sortName": "Radiohead", "type": "Group", "country": "GB", "areaName": "United Kingdom", "beginAreaName": "Abingdon", "beginDate": "1985", "endDate": null, "ended": false, "disambiguation": "", "tags": [{"name": "alternative rock", "count": 10}, {"name": "electronic", "count": 8}], "aliases": [], "score": 100, "url": "https://musicbrainz.org/artist/a74b1b7f-71a5-4011-9441-d0b5e4122711", "scrapedAt": "2026-04-09T12:00:00.000Z" } ``` ### 💎 Why Choose the MusicBrainz Scraper? | Feature | Our Tool | Manual MusicBrainz Search | |---------|----------|--------------------------| | Batch collection | ✅ Up to 1M items | ❌ Browse one at a time | | Three search modes | ✅ Artists, releases, recordings | ⚠️ Separate searches | | Country filtering | ✅ By country code | ⚠️ Advanced search only | | Structured output | ✅ JSON, CSV, Excel | ❌ Web pages only | | Automated scheduling | ✅ Daily/weekly monitoring | ❌ Manual visits | | Tags and aliases | ✅ Included automatically | ⚠️ Click each entry | ### 📋 How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - choose your mode, enter a search query, and set your filters 3. **Run It** - click "Start" and get structured music data in seconds No coding, no setup, no manual browsing required. ### 🎯 Business Use Cases - 🎵 **Music services** - build metadata databases with accurate artist, album, and song information - 📊 **Music researchers** - analyze artist origins, genre distributions, and release patterns across countries - 📱 **App developers** - power music apps with rich metadata including tags, aliases, and release details - 📰 **Music journalists** - research artist discographies, label histories, and recording catalogs - 🏷️ **Record labels** - catalog releases with barcodes, catalog numbers, and format details - 🎓 **Musicologists** - study music history with structured data on artists, recordings, and release timelines ### ❓ FAQ 🎶 **What is MusicBrainz?** MusicBrainz is an open music encyclopedia maintained by a global community. It aims to be the most complete and accurate source of music metadata, covering millions of artists, releases, and recordings. 🎤 **What's the difference between the three modes?** Artists mode searches for musicians and bands. Releases mode searches for albums, singles, and EPs. Recordings mode searches for individual songs and tracks. 🌍 **What country codes can I use?** Use standard two-letter country codes like US (United States), GB (United Kingdom), DE (Germany), JP (Japan), FR (France), etc. 🏷️ **What types can I filter by?** For artists: 'Group' or 'Person'. For releases: 'Album', 'Single', or 'EP'. Enter the type exactly as shown. ⏱️ **How long does a run take?** Typically 1-2 seconds per page of results. A run collecting 100 items takes about 5-10 seconds. ### 🔗 Integrate MusicBrainz Scraper with any app - [Make](https://docs.apify.com/platform/integrations/make) - Automate music data workflows - [Zapier](https://docs.apify.com/platform/integrations/zapier) - Get alerts for new releases or artists - [Slack](https://docs.apify.com/platform/integrations/slack) - Get notified in your team channel - [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export music data to spreadsheets - [Webhooks](https://docs.apify.com/platform/integrations/webhooks) - Trigger actions when runs complete ### 💡 Recommended Actors Looking for more data collection tools? Check out these related actors: | Actor | Description | Link | |-------|-------------|------| | Hugging Face Model Scraper | Collect AI model data from Hugging Face | [Link](https://apify.com/parseforge/hugging-face-model-scraper) | | Smart Apify Actor Scraper | Scrape actor data with 70+ fields | [Link](https://apify.com/parseforge/smart-apify-actor-scraper) | | PR Newswire Scraper | Collect press releases and news | [Link](https://apify.com/parseforge/pr-newswire-scraper) | | AWS Marketplace Scraper | Extract cloud marketplace data | [Link](https://apify.com/parseforge/aws-marketplace-scraper) | | Stripe App Marketplace Scraper | Collect Stripe app data | [Link](https://apify.com/parseforge/stripe-marketplace-scraper) | **Pro Tip:** Browse our complete collection of [data collection actors](https://apify.com/parseforge) to find the perfect tool for your needs. ### 🆘 Need Help? - Check the FAQ section above for common questions - Visit the [Apify documentation](https://docs.apify.com) for platform guides - Contact us at [Tally contact form](https://tally.so/r/BzdKgA) ### ⚠️ Disclaimer > This Actor is an independent tool and is not affiliated with, endorsed by, or connected to MusicBrainz or the MetaBrainz Foundation. It accesses only publicly available data. # Actor input Schema ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `mode` (type: `string`): What to search: artists, releases, or recordings ## `query` (type: `string`): Search query (e.g. 'radiohead', 'abbey road', 'creep') ## `country` (type: `string`): Filter by country code (e.g. 'US', 'GB', 'DE'). Appended to query as Lucene filter. ## `type` (type: `string`): Filter by type. For artists: 'Group' or 'Person'. For releases: 'Album', 'Single', or 'EP'. Appended to query as Lucene filter. ## Actor input object example ```json { "maxItems": 10, "mode": "artists", "query": "radiohead" } ``` # Actor output Schema ## `overview` (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 = { "maxItems": 10, "mode": "artists", "query": "radiohead" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/musicbrainz-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 = { "maxItems": 10, "mode": "artists", "query": "radiohead", } # Run the Actor and wait for it to finish run = client.actor("parseforge/musicbrainz-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 '{ "maxItems": 10, "mode": "artists", "query": "radiohead" }' | apify call parseforge/musicbrainz-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/musicbrainz-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MusicBrainz Scraper", "description": "Scrape music metadata from MusicBrainz covering 70M+ recordings. Get artists, albums, recordings, and labels with genres, countries, release dates, barcodes, and catalog numbers. Search by name across three modes (artists, releases, recordings) with country and type filters.", "version": "0.0", "x-build-id": "1J3YbUvvyvc6WeeGm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~musicbrainz-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-musicbrainz-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~musicbrainz-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-musicbrainz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~musicbrainz-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-musicbrainz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "mode": { "title": "Mode", "enum": [ "artists", "releases", "recordings" ], "type": "string", "description": "What to search: artists, releases, or recordings" }, "query": { "title": "Search Query", "type": "string", "description": "Search query (e.g. 'radiohead', 'abbey road', 'creep')" }, "country": { "title": "Country", "type": "string", "description": "Filter by country code (e.g. 'US', 'GB', 'DE'). Appended to query as Lucene filter." }, "type": { "title": "Type", "type": "string", "description": "Filter by type. For artists: 'Group' or 'Person'. For releases: 'Album', 'Single', or 'EP'. Appended to query as Lucene filter." } } }, "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 } } } } } } } } } } ```