# Discogs Scraper - Vinyl, Music Releases & Labels (`benthepythondev/discogs-scraper`) Actor Discogs Scraper to search the Discogs music database for vinyl, CDs and releases by artist, album, genre or year. Extract title, year, country, genre, style, format, label, catalog number, barcode and cover image. For record collectors, music data tools and discography databases. - **URL**: https://apify.com/benthepythondev/discogs-scraper.md - **Developed by:** [ben](https://apify.com/benthepythondev) (community) - **Categories:** Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Discogs Scraper — Vinyl, Music Releases & Labels **Search the [Discogs](https://www.discogs.com) music database — the world's largest catalog of vinyl, CDs and music releases.** Built for **record collectors, music data tools, marketplace analytics, and discography databases**. Keyless, fast and reliable — no proxy or browser needed. ### What you get Per result: - **title**, **id**, **type** (release / master / artist / label) - **year**, **country** - **genre**, **style** - **format** (Vinyl, LP, CD, …) - **label**, **catno** (catalog number) - **barcode** - **master_id** - **thumb**, **cover_image** - **url**, **resource_url** - **search_query**, **scraped_at** ### Why this Actor | | Discogs Scraper | Manual lookup | Raw API | |---|---|---|---| | Clean flat output | Yes | — | Paged JSON | | Search + filters | Yes | Slow | DIY | | Rate-limit handling | Built-in | — | DIY | | Pay per result | Yes | — | — | ### Input | Field | Type | Description | |---|---|---| | `searchQuery` | string | Artist/album/release keyword | | `type` | string | `release`, `master`, `artist`, `label` | | `genre` | string | Optional genre filter | | `year` | string | Optional year filter | | `maxResults` | integer | Max results to return | #### Example input ```json { "searchQuery": "daft punk", "type": "release", "genre": "Electronic", "maxResults": 50 } ```` ### Sample output ```json { "id": 7445961, "title": "Daft Punk - Discovery", "year": "2001", "country": "Europe", "genre": ["Electronic"], "style": ["House", "Disco"], "format": ["Vinyl", "LP", "Album"], "label": ["Virgin"], "catno": "7243 8 49606 1 1", "url": "https://www.discogs.com/release/7445961" } ``` ### Use cases - **Record collecting** — track pressings, variants and catalog numbers - **Marketplace analytics** — analyse releases by genre, year and country - **Music databases** — build and enrich discographies - **Data enrichment** — append release metadata and cover art ### Pricing Pay-per-result. You are charged only for the results returned — empty runs cost nothing. ### Notes & legal - Uses the public Discogs database API. Respect Discogs' terms and rate limits. - Use data only for lawful purposes. ### Related actors More scrapers from the same author: - [iTunes Scraper](https://apify.com/benthepythondev/itunes-scraper) — music, podcasts, apps & more from Apple - [Steam Scraper](https://apify.com/benthepythondev/steam-scraper) — game prices, ratings & store data - [Anime Scraper](https://apify.com/benthepythondev/anime-scraper) — anime database from MyAnimeList (Jikan) - [eBay Scraper](https://apify.com/benthepythondev/ebay-scraper) — listings, prices & seller data via the official API # Actor input Schema ## `searchQuery` (type: `string`): Artist, album or release keyword (e.g. 'daft punk', 'nirvana nevermind'). ## `type` (type: `string`): What to search for. ## `genre` (type: `string`): Filter by genre (e.g. 'Electronic', 'Rock', 'Jazz'). ## `year` (type: `string`): Filter by release year (e.g. '1997'). ## `maxResults` (type: `integer`): Maximum number of results to return. ## Actor input object example ```json { "searchQuery": "daft punk", "type": "release", "genre": "", "year": "", "maxResults": 25 } ``` # 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 = { "searchQuery": "daft punk", "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("benthepythondev/discogs-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 = { "searchQuery": "daft punk", "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("benthepythondev/discogs-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 '{ "searchQuery": "daft punk", "maxResults": 25 }' | apify call benthepythondev/discogs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=benthepythondev/discogs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Scraper - Vinyl, Music Releases & Labels", "description": "Discogs Scraper to search the Discogs music database for vinyl, CDs and releases by artist, album, genre or year. Extract title, year, country, genre, style, format, label, catalog number, barcode and cover image. For record collectors, music data tools and discography databases.", "version": "1.0", "x-build-id": "jSrQeqg4q6KGtxKce" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/benthepythondev~discogs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-benthepythondev-discogs-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/benthepythondev~discogs-scraper/runs": { "post": { "operationId": "runs-sync-benthepythondev-discogs-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/benthepythondev~discogs-scraper/run-sync": { "post": { "operationId": "run-sync-benthepythondev-discogs-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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Artist, album or release keyword (e.g. 'daft punk', 'nirvana nevermind')." }, "type": { "title": "Type", "enum": [ "release", "master", "artist", "label" ], "type": "string", "description": "What to search for.", "default": "release" }, "genre": { "title": "Genre (optional)", "type": "string", "description": "Filter by genre (e.g. 'Electronic', 'Rock', 'Jazz').", "default": "" }, "year": { "title": "Year (optional)", "type": "string", "description": "Filter by release year (e.g. '1997').", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of results to return.", "default": 50 } } }, "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 } } } } } } } } } } ```