# Discogs Scraper - Vinyl Records & Music Database (`lulzasaur/discogs-scraper`) Actor Scrape music release data from Discogs. Search 8M+ vinyl records, CDs, and cassettes. Get prices, ratings, genres, tracklists, and marketplace data. - **URL**: https://apify.com/lulzasaur/discogs-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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. 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 ## Discogs Scraper - Vinyl Records & Music Database Search and extract music release data from the Discogs database -- the largest online music catalog with 8M+ releases. ### What it does This scraper queries the Discogs public API to extract structured data about vinyl records, CDs, cassettes, and other music formats. It returns detailed information including artist, title, year, country, format, genre, style, community ratings, want/have counts, and optionally full tracklists and marketplace pricing. ### Features - **Search 8M+ releases** by artist, album, genre, style, country, year, or format - **Multiple search types**: releases, master releases, artists, labels - **Community data**: ratings, want counts, have counts - **Full details mode**: tracklists, marketplace prices (lowest price, number for sale), images, videos - **Smart rate limiting**: respects Discogs 25 req/min limit with automatic backoff on 429 responses - **Pagination**: automatically fetches multiple pages up to your maxResults limit ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | searchQuery | string | (required) | Artist or album name | | type | select | release | release, master, artist, or label | | genre | string | | Filter by genre (Rock, Jazz, Electronic, etc.) | | style | string | | Filter by style (Punk, Ambient, Bebop, etc.) | | country | string | | Country of release (US, UK, Japan, etc.) | | year | string | | Year or range (1975 or 1970-1980) | | format | string | | Format filter (Vinyl, CD, Cassette, etc.) | | fetchDetails | boolean | false | Fetch full tracklist, prices, images per release | | maxResults | integer | 100 | Max results (1-5000) | ### Output Each result includes: ```json { "id": 4786721, "type": "release", "title": "Abbey Road", "artist": "The Beatles", "year": "1969", "country": "UK", "format": ["Vinyl", "LP", "Album", "Stereo"], "genre": ["Rock"], "style": ["Pop Rock"], "label": ["Apple Records"], "rating": 4.57, "ratingCount": 8234, "wantCount": 12456, "haveCount": 98765, "thumbnail": "https://...", "coverImage": "https://...", "uri": "https://www.discogs.com/...", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` With `fetchDetails: true`, each release also includes: ```json { "tracklist": [ { "position": "A1", "title": "Come Together", "duration": "4:19" }, { "position": "A2", "title": "Something", "duration": "3:02" } ], "numForSale": 1234, "lowestPrice": 15.99, "artists": [{ "name": "The Beatles", "id": 82730 }], "labels": [{ "name": "Apple Records", "catno": "PCS 7088" }], "images": [{ "type": "primary", "uri": "https://..." }], "videos": [{ "title": "Come Together", "url": "https://..." }] } ``` ### Rate limits The Discogs API allows 25 unauthenticated requests per minute. This scraper automatically: - Adds 2.5s delays between all API calls - Retries with exponential backoff on 429 (rate limit) responses - Search-only mode (~20 results/minute): 100 results in ~15 seconds - Details mode (~24 releases/minute): 100 releases in ~4-5 minutes ### Use cases - **Vinyl collectors**: Find pressings, compare prices across releases - **Record stores**: Monitor marketplace pricing and availability - **Music researchers**: Analyze discographies, genre trends, release patterns - **Price tracking**: Track lowest marketplace prices for specific releases - **Data analysis**: Genre/style distribution, country of origin analysis ### Tips - Start without `fetchDetails` to quickly browse results, then enable it for releases you care about - Use `genre` + `style` together for precise filtering (e.g., genre="Electronic", style="Ambient") - Year ranges work well for decade analysis (e.g., year="1980-1989") - The `master` type groups all pressings of an album into one result # Actor input Schema ## `searchQuery` (type: `string`): Artist or album name to search for (e.g. "Beatles", "Dark Side of the Moon", "Miles Davis") ## `type` (type: `string`): Type of Discogs entity to search for ## `genre` (type: `string`): Filter by genre (e.g. "Rock", "Jazz", "Electronic", "Hip Hop", "Classical") ## `style` (type: `string`): Filter by style (e.g. "Punk", "Ambient", "Bebop", "Psychedelic Rock") ## `country` (type: `string`): Filter by country of release (e.g. "US", "UK", "Japan", "Germany") ## `year` (type: `string`): Filter by year or year range (e.g. "1975" or "1970-1980") ## `format` (type: `string`): Filter by format (e.g. "Vinyl", "CD", "Cassette", "7"", "12"") ## `fetchDetails` (type: `boolean`): Fetch full release details including tracklist, marketplace prices, and images. Slower due to rate limits (~2.5s per release). ## `maxResults` (type: `integer`): Maximum number of results to return (1-5000) ## `proxyConfiguration` (type: `object`): Optional proxy configuration for requests ## Actor input object example ```json { "searchQuery": "Beatles", "type": "release", "fetchDetails": false, "maxResults": 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 = { "searchQuery": "Beatles" }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/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": "Beatles" } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/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": "Beatles" }' | apify call lulzasaur/discogs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/discogs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Scraper - Vinyl Records & Music Database", "description": "Scrape music release data from Discogs. Search 8M+ vinyl records, CDs, and cassettes. Get prices, ratings, genres, tracklists, and marketplace data.", "version": "1.0", "x-build-id": "vhupxmpOGB8wTeg6k" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~discogs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~discogs-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~discogs-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Artist or album name to search for (e.g. \"Beatles\", \"Dark Side of the Moon\", \"Miles Davis\")" }, "type": { "title": "Search Type", "enum": [ "release", "master", "artist", "label" ], "type": "string", "description": "Type of Discogs entity to search for", "default": "release" }, "genre": { "title": "Genre", "type": "string", "description": "Filter by genre (e.g. \"Rock\", \"Jazz\", \"Electronic\", \"Hip Hop\", \"Classical\")" }, "style": { "title": "Style", "type": "string", "description": "Filter by style (e.g. \"Punk\", \"Ambient\", \"Bebop\", \"Psychedelic Rock\")" }, "country": { "title": "Country", "type": "string", "description": "Filter by country of release (e.g. \"US\", \"UK\", \"Japan\", \"Germany\")" }, "year": { "title": "Year", "type": "string", "description": "Filter by year or year range (e.g. \"1975\" or \"1970-1980\")" }, "format": { "title": "Format", "type": "string", "description": "Filter by format (e.g. \"Vinyl\", \"CD\", \"Cassette\", \"7\\\"\", \"12\\\"\")" }, "fetchDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "Fetch full release details including tracklist, marketplace prices, and images. Slower due to rate limits (~2.5s per release).", "default": false }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of results to return (1-5000)", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy configuration for requests" } } }, "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 } } } } } } } } } } ```