# Discogs Scraper (`parseforge/discogs-scraper`) Actor Scrape music releases, artists, and labels from Discogs. Get album titles, artists, years, genres, styles, formats, countries, tracklists, and community have/want stats for millions of records. Filter by type, year, country, genre, style, and format. - **URL**: https://apify.com/parseforge/discogs-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** E-commerce, Lead generation, Other - **Stats:** 1 total users, 0 monthly users, 0.0% 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. 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) ## 🎵 Discogs Scraper Whether you're a record collector tracking vinyl releases, a music researcher analyzing label catalogs, or a retailer building inventory databases, this tool makes it easy to collect structured music data from the world's largest music database and marketplace. > **The Discogs Scraper collects music releases, artists, and labels with titles, years, genres, styles, formats, labels, barcodes, and community data. Filter by type, year, country, genre, style, and format.** ### ✨ What Does It Do - 📋 **Release data** - collect titles, years, countries, labels, catalog numbers, and barcodes for music releases - 🎨 **Artist search** - find artists and bands across all genres and decades - 🏷️ **Label search** - discover record labels and their catalogs - 🎸 **Genre and style filters** - narrow results by genre (Rock, Jazz, Electronic) and sub-style (Grunge, Bebop, Techno) - 💿 **Format filtering** - search by format: Vinyl, CD, Cassette, Digital, and more - 👥 **Community data** - see how many collectors have or want each release ### 🔧 Input - **Search Query** - search for artists, albums, or labels (e.g., 'pink floyd', 'abbey road') - **Max Items** - how many items to collect (free users get 10 items, paid users up to 1,000,000) - **Type** - search for releases, artists, or labels - **Year** - filter by release year or year range (e.g., '1991' or '1990-1995') - **Country** - filter by country of release (e.g., 'US', 'UK', 'Germany') - **Genre** - filter by genre (e.g., 'Rock', 'Jazz', 'Electronic') - **Style** - filter by sub-style (e.g., 'Grunge', 'Bebop', 'Techno') - **Format** - filter by format (e.g., 'Vinyl', 'CD', 'Cassette') ```json { "query": "pink floyd", "maxItems": 50, "type": "release", "genre": "Rock", "format": "Vinyl" } ```` ### 📊 Output Each record includes up to 20+ data fields. Download as JSON, CSV, or Excel. | Field | Description | |-------|-------------| | 🔗 uri | Release page on Discogs | | 🖼️ coverImage | Album cover art | | 📋 title | Release title | | 📅 year | Release year | | 🌍 country | Country of release | | 💿 format | Format (Vinyl, CD, etc.) | | 🏷️ label | Record label | | 🔢 catalogNumber | Catalog number | | 📊 barcode | Barcode identifiers | | 🎸 genre | Genre tags | | 🎨 style | Style/sub-genre tags | | 👥 communityHave | Number of collectors who have it | | 💰 communityWant | Number of collectors who want it | ```json { "id": 1124115, "type": "release", "title": "Pink Floyd - The Dark Side Of The Moon", "year": "1973", "country": "US", "format": ["Vinyl", "LP", "Album"], "label": ["Harvest"], "catalogNumber": "SMAS-11163", "barcode": [], "genre": ["Rock"], "style": ["Prog Rock", "Classic Rock"], "uri": "https://www.discogs.com/release/1124115", "coverImage": "https://i.discogs.com/...", "communityHave": 15000, "communityWant": 5000, "scrapedAt": "2026-04-09T12:00:00.000Z" } ``` ### 💎 Why Choose the Discogs Scraper? | Feature | Our Tool | Manual Discogs Search | |---------|----------|-----------------------| | Batch collection | ✅ Up to 1M releases | ❌ Browse one at a time | | Multiple filters | ✅ Genre, style, year, country, format | ⚠️ Limited search | | Community stats | ✅ Have/want counts included | ⚠️ Click each release | | Structured output | ✅ JSON, CSV, Excel | ❌ Web pages only | | Automated scheduling | ✅ Daily/weekly monitoring | ❌ Manual visits | | Barcode data | ✅ Included automatically | ⚠️ Buried in details | ### 📋 How to Use 1. **Sign Up** - [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) 2. **Configure** - enter your search query, set filters, and specify how many items you want 3. **Run It** - click "Start" and get structured music data in seconds No coding, no setup, no manual browsing required. ### 🎯 Business Use Cases - 💿 **Record collectors** - track rare vinyl releases, monitor community demand, and discover new additions - 🏪 **Record stores** - build inventory databases with catalog numbers, barcodes, and pricing signals - 📊 **Music researchers** - analyze release trends by genre, decade, country, and format - 🎵 **Music journalists** - research artist discographies and label catalogs for articles and reviews - 📱 **App developers** - build music discovery tools with rich metadata and cover art - 🏷️ **Label managers** - monitor your catalog presence and collector interest across releases ### ❓ FAQ 🎵 **What is Discogs?** Discogs is the world's largest music database and marketplace, with over 16 million releases cataloged by a community of contributors. It covers all genres, formats, and countries. 💿 **What types can I search for?** You can search for releases (albums, singles, compilations), artists (bands, solo artists), or labels (record companies). 📅 **Can I search by year range?** Yes. Enter a single year like '1991' or a range like '1990-1995' in the Year field. 👥 **What are the community have/want numbers?** These show how many Discogs users own a release ("have") and how many are looking for it ("want"). High want-to-have ratios often indicate rare or sought-after pressings. 🌍 **Can I filter by country?** Yes. Enter country names like 'US', 'UK', 'Germany', 'Japan', etc. to find releases from specific countries. ### 🔗 Integrate Discogs 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 matching your criteria - [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 Discogs or Zink Media, Inc. 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 ## `query` (type: `string`): Search query for Discogs database. ## `type` (type: `string`): Type of resource to search for. ## `year` (type: `string`): Filter by release year or year range (e.g. '1991' or '1990-1995'). ## `country` (type: `string`): Filter by country of release (e.g. 'US', 'UK', 'Germany'). ## `genre` (type: `string`): Filter by genre (e.g. 'Rock', 'Jazz', 'Electronic'). ## `style` (type: `string`): Filter by style (e.g. 'Grunge', 'Bebop', 'Techno'). ## `format` (type: `string`): Filter by format (e.g. 'Vinyl', 'CD', 'Cassette', 'Digital'). ## Actor input object example ```json { "maxItems": 10, "query": "pink floyd", "type": "release" } ``` # 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, "query": "pink floyd", "type": "release" }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/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 = { "maxItems": 10, "query": "pink floyd", "type": "release", } # Run the Actor and wait for it to finish run = client.actor("parseforge/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 '{ "maxItems": 10, "query": "pink floyd", "type": "release" }' | apify call parseforge/discogs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/discogs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Scraper", "description": "Scrape music releases, artists, and labels from Discogs. Get album titles, artists, years, genres, styles, formats, countries, tracklists, and community have/want stats for millions of records. Filter by type, year, country, genre, style, and format.", "version": "0.0", "x-build-id": "MVOgM5KjiZqsCdnp3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~discogs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~discogs-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~discogs-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "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" }, "query": { "title": "Search Query", "type": "string", "description": "Search query for Discogs database." }, "type": { "title": "Type", "enum": [ "release", "artist", "label" ], "type": "string", "description": "Type of resource to search for.", "default": "release" }, "year": { "title": "Year", "type": "string", "description": "Filter by release year or year range (e.g. '1991' or '1990-1995')." }, "country": { "title": "Country", "type": "string", "description": "Filter by country of release (e.g. 'US', 'UK', 'Germany')." }, "genre": { "title": "Genre", "type": "string", "description": "Filter by genre (e.g. 'Rock', 'Jazz', 'Electronic')." }, "style": { "title": "Style", "type": "string", "description": "Filter by style (e.g. 'Grunge', 'Bebop', 'Techno')." }, "format": { "title": "Format", "type": "string", "description": "Filter by format (e.g. 'Vinyl', 'CD', 'Cassette', 'Digital')." } } }, "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 } } } } } } } } } } ```