# Bandcamp Artist & Label Discography Scraper (`hereditary_model/bandcamp-discography-scraper`) Actor Scrapes complete discographies from Bandcamp artist and label pages: releases, track lists, durations, tags, release dates, and pricing. Pay per release scraped. - **URL**: https://apify.com/hereditary\_model/bandcamp-discography-scraper.md - **Developed by:** [Aaron Marxsen](https://apify.com/hereditary_model) (community) - **Categories:** Automation, Developer tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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. 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 ## Bandcamp Scraper for Artists and Labels Get the complete discography of any Bandcamp artist or label as structured data: every release with its track list, durations, tags, release date, and cover art. Point it at an artist or label page and get a clean dataset back. Built for DJs digging for music, labels tracking their roster and competitors, music journalists, and data teams building music databases. ### Features - Scrape a full Bandcamp discography from any artist or label page - Get every release with title, artist, label, and release date - Get complete track lists with positions and durations - Get genre and style tags for every release - Works with artist pages, label pages, and direct album or track URLs - Run on a schedule to catch new releases from favorite labels - Pay per result, no subscription ### Use cases - Crate digging: dump a label's whole catalog and filter by tag - New release radar: schedule a daily run and diff the results - Market research: analyze release cadence and genres across labels - Build or enrich a music metadata database ### Input | Field | Type | Description | | --- | --- | --- | | `startUrls` | array (required) | Bandcamp artist or label URLs (or direct album/track URLs) | | `maxReleasesPerArtist` | integer (default 100) | Max releases per artist or label | ```json { "startUrls": [{ "url": "https://kompakt.bandcamp.com" }], "maxReleasesPerArtist": 100 } ```` ### Output One dataset item per release: ```json { "url": "https://kompakt-gas.bandcamp.com/album/november-89", "type": "album", "title": "November 89", "artist": "GAS", "label": "Kompakt", "releaseDate": "07 Nov 2025 00:00:00 GMT", "tags": ["Electronic", "Ambient", "Techno"], "numTracks": 6, "tracks": [{ "position": 1, "title": "November 89 (Continuous Mix)", "durationSeconds": 3167 }] } ``` ### Pricing: worked example Pay per result. You are charged per release returned in the dataset. Scraping a 200 release label catalog returns 200 results. See the live listing for the current per result price and total. ### How to use 1. Open the actor and click Try for free. 2. Paste a Bandcamp artist or label URL. 3. Set `maxReleasesPerArtist` to bound the run. 4. Click Start. 5. Download the discography as JSON, CSV, or Excel from the Storage tab. 6. Automate delivery to Google Sheets or Slack with Apify integrations. ### FAQ **How do I scrape a Bandcamp discography?** Paste an artist or label URL and the actor reads the public discography, returning one structured record per release with track lists and tags. **Does it download audio?** No. It reads public release pages and returns metadata only. **Can it scrape a whole label roster?** Yes. Label pages list the releases on the label's public discography, and the actor follows them. **What data do I get per release?** Title, artist, label, release date, tags, cover art, and the full track list with durations. **Can an AI agent run this?** Yes. It supports agentic payments, so an agent can pull a discography and pay per result. ### API and agents Run it from the [Apify API](https://docs.apify.com/api/v2) or let an AI agent call it. Supports agentic payments via x402 and Skyfire (pay per event, limited permissions, no Standby). ```bash curl -X POST "https://api.apify.com/v2/acts/hereditary_model~bandcamp-discography-scraper/runs?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{ "url": "https://kompakt.bandcamp.com" }] }' ``` ### Related actors - [Website to Markdown for RAG and LLMs](https://apify.com/hereditary_model/website-to-markdown) - [Domain Intelligence API](https://apify.com/hereditary_model/domain-intelligence) - [Email and Social Media Extractor](https://apify.com/hereditary_model/contact-details-extractor) - [Local SEO Audit](https://apify.com/hereditary_model/local-seo-audit) - [Broken Link Checker](https://apify.com/hereditary_model/broken-link-checker) - [ATS Job Postings Scraper](https://apify.com/hereditary_model/ats-job-postings-scraper) - [NPI Healthcare Provider Directory](https://apify.com/hereditary_model/healthcare-provider-directory) # Actor input Schema ## `startUrls` (type: `array`): Bandcamp artist or label URLs (e.g. https://kompakt.bandcamp.com). Direct album/track URLs also work. ## `maxReleasesPerArtist` (type: `integer`): Maximum number of releases to scrape per artist or label page. Each scraped release is one billable event. ## `proxyConfiguration` (type: `object`): Proxy settings used for scraping. Defaults to no proxy. ## Actor input object example ```json { "startUrls": [ { "url": "https://kompakt.bandcamp.com" } ], "maxReleasesPerArtist": 100 } ``` # 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 = { "startUrls": [ { "url": "https://kompakt.bandcamp.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("hereditary_model/bandcamp-discography-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 = { "startUrls": [{ "url": "https://kompakt.bandcamp.com" }] } # Run the Actor and wait for it to finish run = client.actor("hereditary_model/bandcamp-discography-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 '{ "startUrls": [ { "url": "https://kompakt.bandcamp.com" } ] }' | apify call hereditary_model/bandcamp-discography-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hereditary_model/bandcamp-discography-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bandcamp Artist & Label Discography Scraper", "description": "Scrapes complete discographies from Bandcamp artist and label pages: releases, track lists, durations, tags, release dates, and pricing. Pay per release scraped.", "version": "0.1", "x-build-id": "SOeZUO5BJhBvPlqny" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hereditary_model~bandcamp-discography-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hereditary_model-bandcamp-discography-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hereditary_model~bandcamp-discography-scraper/runs": { "post": { "operationId": "runs-sync-hereditary_model-bandcamp-discography-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hereditary_model~bandcamp-discography-scraper/run-sync": { "post": { "operationId": "run-sync-hereditary_model-bandcamp-discography-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Bandcamp URLs", "type": "array", "description": "Bandcamp artist or label URLs (e.g. https://kompakt.bandcamp.com). Direct album/track URLs also work.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxReleasesPerArtist": { "title": "Max releases per artist/label", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of releases to scrape per artist or label page. Each scraped release is one billable event.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings used for scraping. Defaults to no 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 } } } } } } } } } } ```