# Discogs Scraper - Vinyl & Music Releases + Prices (`jongoose/discogs-scraper`) Actor Scrape Discogs search results into clean structured data - releases & masters with artist, title, label & catalog number, format, year, country and cover art. Optionally enrich each release from its detail page with genre, style and marketplace price stats (lowest / median / highest, number for sā€¦ - **URL**: https://apify.com/jongoose/discogs-scraper.md - **Developed by:** [James Scott](https://apify.com/jongoose) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 & Music Releases + Prices Scrape **Discogs** search results (releases & masters) into clean, structured data - **no Discogs account or API token required**. Optionally enrich each release with **genre, style and live marketplace price stats** pulled straight from its detail page. ### What you get (per release) Base fields (from the search page - fast, one request per 25 results): - **releaseId** and canonical **url** (`https://www.discogs.com/release/... ` or `/master/...`) - **title**, **artist** - **label**, **catno** (catalog number) - **format** (e.g. `Vinyl (LP, Album, Reissue)`) - **year**, **country** - **thumbUrl** (cover-art thumbnail) - **genre**, **style** - *null unless `fetchMarketplaceStats` is on* (Discogs' search feed does not expose them) Extra fields when **`fetchMarketplaceStats`** is enabled (one extra request per release): - **genre**, **style** - **lowestPrice**, **medianPrice**, **highestPrice** (sales-history stats), **priceCurrency** - **numForSale** (copies currently for sale) - **haveCount** ("have" / in collections), **wantCount** ("want" / wantlists) - **rating** (community average, 1-5) ### Input - **Search query** - type an artist, album, label, catalog number or keyword. - **Result type** - `release` (individual pressings) or `master` (grouped albums). - **Discogs search URLs (advanced)** - build a filtered search on discogs.com (genre, style, format, year, country...) and paste the URL(s). Overrides the query. - **Max releases** - caps the run. - **Fetch marketplace stats + genre/style** - toggle detail-page enrichment (off by default). - **Proxy** - Apify's default datacenter proxy is plenty. #### Example input ```json { "query": "Nirvana", "type": "release", "maxItems": 100, "fetchMarketplaceStats": false, "proxyConfiguration": { "useApifyProxy": true } } ```` Or drive it with a fully-filtered search URL: ```json { "startUrls": [ { "url": "https://www.discogs.com/search/?q=miles+davis&type=release&format_exact=Vinyl" } ], "maxItems": 250, "fetchMarketplaceStats": true } ``` #### Example output (with `fetchMarketplaceStats`) ```json { "releaseId": 7445961, "title": "Nirvana", "artist": "Nirvana", "label": "DGC", "catno": "0602547378781", "format": "Vinyl (LP, Compilation, Reissue)", "year": 2015, "country": "Europe", "genre": "Rock", "style": "Grunge, Alternative Rock", "thumbUrl": "https://i.discogs.com/.../R-7445961.jpeg", "url": "https://www.discogs.com/release/7445961-Nirvana-Nirvana", "lowestPrice": 15.47, "medianPrice": 29.32, "highestPrice": 56.82, "numForSale": 155, "haveCount": 22318, "wantCount": 1734, "rating": 4.54, "priceCurrency": "USD", "scrapedFrom": "discogs.com" } ``` ### Why this actor - **Reads embedded JSON, not brittle CSS.** Base fields come from the search page's React Server Components (`self.__next_f`) data; enrichment reads the detail page's schema.org `ld+json` and `dsdata` cache. Durable and complete. - **No token, no account.** Discogs offers an official API (`api.discogs.com`), but its database search and some endpoints are rate-limited and require an auth token. This actor needs **neither** - it scrapes the public search HTML and public detail-page JSON. - **Fast + cheap by default.** Search-only mode makes one request per 25 results on Apify's datacenter proxy. Turn on `fetchMarketplaceStats` only when you need prices/genre/style. - Export as JSON, CSV, or Excel, or pull via the Apify API. Great for record dealers, collectors and analysts doing **price research, pressing comparison, and catalog/inventory monitoring**. > Prices are Discogs sales-history statistics, converted to **USD** by default. Marketplace/detail pages are Cloudflare-protected, so a small share of enrichment requests may be skipped on a given run. ### Legal Public data for research purposes only. This is **not a consumer report** and must **not** be used for FCRA (Fair Credit Reporting Act) purposes. # Actor input Schema ## `query` (type: `string`): What to search for on Discogs - an artist, album, label, catalog number or any keyword (e.g. "Nirvana", "Blue Note", "Aphex Twin Selected Ambient Works"). Used when no Start URL is given below. ## `type` (type: `string`): Scrape individual pressings (releases) or grouped albums (masters). Applies to the Search query above. ## `startUrls` (type: `array`): One or more Discogs search-results URLs. Build a filtered search on discogs.com (genre, style, format, year, country, decade, etc.) and paste the URL(s) here for precise targeting - this overrides the Search query above. Example: https://www.discogs.com/search/?q=miles+davis\&type=release\&format\_exact=Vinyl ## `maxItems` (type: `integer`): Stop after collecting this many releases. ## `fetchMarketplaceStats` (type: `boolean`): For each release, also fetch its detail page to add genre, style, sales-history lowest/median/highest price, number for sale, have/want counts and community rating. Slower (one extra request per release) and detail pages are Cloudflare-protected, so some may be skipped. No Discogs API token required. Leave OFF for fast search-only scraping (genre/style/prices will be null). ## `proxyConfiguration` (type: `object`): This site soft-blocks datacenter IPs, so the actor uses Apify Residential proxy by default. Keep residential for reliable results. ## Actor input object example ```json { "query": "Nirvana", "type": "release", "startUrls": [], "maxItems": 100, "fetchMarketplaceStats": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "query": "Nirvana", "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("jongoose/discogs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`šŸ’¾ 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); }); // šŸ“š Want to learn more šŸ“–? Go to ā†’ 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 = { "query": "Nirvana", "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("jongoose/discogs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("šŸ’¾ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # šŸ“š Want to learn more šŸ“–? Go to ā†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "Nirvana", "startUrls": [] }' | apify call jongoose/discogs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jongoose/discogs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Scraper - Vinyl & Music Releases + Prices", "description": "Scrape Discogs search results into clean structured data - releases & masters with artist, title, label & catalog number, format, year, country and cover art. Optionally enrich each release from its detail page with genre, style and marketplace price stats (lowest / median / highest, number for sā€¦", "version": "0.1", "x-build-id": "B2bZYLvBPO4vUxAZT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jongoose~discogs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jongoose-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jongoose~discogs-scraper/runs": { "post": { "operationId": "runs-sync-jongoose-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jongoose~discogs-scraper/run-sync": { "post": { "operationId": "run-sync-jongoose-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search query", "type": "string", "description": "What to search for on Discogs - an artist, album, label, catalog number or any keyword (e.g. \"Nirvana\", \"Blue Note\", \"Aphex Twin Selected Ambient Works\"). Used when no Start URL is given below." }, "type": { "title": "Result type", "enum": [ "release", "master" ], "type": "string", "description": "Scrape individual pressings (releases) or grouped albums (masters). Applies to the Search query above.", "default": "release" }, "startUrls": { "title": "Discogs search URLs (advanced)", "type": "array", "description": "One or more Discogs search-results URLs. Build a filtered search on discogs.com (genre, style, format, year, country, decade, etc.) and paste the URL(s) here for precise targeting - this overrides the Search query above. Example: https://www.discogs.com/search/?q=miles+davis&type=release&format_exact=Vinyl", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max releases", "minimum": 1, "type": "integer", "description": "Stop after collecting this many releases.", "default": 100 }, "fetchMarketplaceStats": { "title": "Fetch marketplace stats + genre/style", "type": "boolean", "description": "For each release, also fetch its detail page to add genre, style, sales-history lowest/median/highest price, number for sale, have/want counts and community rating. Slower (one extra request per release) and detail pages are Cloudflare-protected, so some may be skipped. No Discogs API token required. Leave OFF for fast search-only scraping (genre/style/prices will be null).", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "This site soft-blocks datacenter IPs, so the actor uses Apify Residential proxy by default. Keep residential for reliable results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```