# Discogs Vinyl & Music Scraper (`sashaebashu/discogs-scraper`) Actor Scrape Discogs releases — demand (have/want), genres, formats, labels and optional marketplace prices. For collectors, dealers and crate-diggers. - **URL**: https://apify.com/sashaebashu/discogs-scraper.md - **Developed by:** [Sasha Ebashu](https://apify.com/sashaebashu) (community) - **Categories:** E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 Vinyl & Music Scraper Scrape **Discogs** releases by search — with **collector demand (have / want), genres, styles, formats, labels, year, country** and optional **marketplace prices**. Built for **vinyl collectors, record dealers and crate-diggers**. No login required — reads Discogs' public API. A free token is optional (only raises the rate limit). ### What it does Give it search terms (and optional filters) and it returns matching releases, normalized: `title`, `year`, `format`, `genre`, `style`, `country`, `label`, `catno`, `have`, `want`, `demandRatio`, `masterId`, `barcode`, `coverImage`, `url` — plus `lowestPrice` and `numForSale` when price enrichment is on. `demandRatio` = want ÷ have. Above 1 means more collectors want it than own it — a scarcity / demand signal. ### Use cases - **Find in-demand records** — sort by `demandRatio` to spot what's hot and scarce. - **Pricing & flipping** — turn on `includePrice` for the lowest marketplace price and how many copies are for sale. - **Catalog / discography research** — pull everything by a genre, style, label, year or country. - **Collection valuation** — match your wantlist against current demand and prices. ### Input | Field | Description | |---|---| | `queries` | Search terms, e.g. `Pink Floyd`, `Aphex Twin`. Each scraped separately. | | `type` | `release`, `master`, `artist` or `label`. | | `genre` / `style` / `year` / `format` / `country` | Optional filters. | | `includePrice` | Enrich releases with lowest marketplace price + copies for sale (slower). | | `discogsToken` | Optional free token — raises the rate limit for big/price-enriched runs. | | `maxItemsPerQuery` / `maxItems` | Caps. | ### Output One row per release with the fields above. Export to JSON, CSV, Excel or Google Sheets. ### Notes Discogs rate-limits the API (≈25 requests/min per IP without a token, 60 with). The actor uses Apify Proxy to rotate IPs and backs off on rate limits; for large price-enriched runs, add a free token from discogs.com/settings/developers. # Actor input Schema ## `queries` (type: `array`): Search terms, e.g. "Pink Floyd", "Aphex Twin Selected Ambient Works". Each is scraped separately. ## `type` (type: `string`): What to search for. ## `genre` (type: `string`): Filter by genre, e.g. Electronic, Rock, Jazz, Hip Hop. ## `style` (type: `string`): Filter by style, e.g. House, Ambient, Synth-pop. ## `year` (type: `string`): Filter by release year, e.g. 1973. ## `format` (type: `string`): Filter by format, e.g. Vinyl, CD, Cassette. ## `country` (type: `string`): Filter by country of release, e.g. US, UK, Germany. ## `includePrice` (type: `boolean`): Enrich each release with the lowest marketplace price and the number of copies for sale. Slower (one extra request per release) and applies to release type only. ## `discogsToken` (type: `string`): Optional free personal access token from discogs.com/settings/developers. Not required, but raises the API rate limit (25 → 60 requests/min) for large or price-enriched runs. ## `maxItemsPerQuery` (type: `integer`): Cap results collected per search query. ## `maxItems` (type: `integer`): Global cap across all queries (0 = unlimited). ## `maxConcurrency` (type: `integer`): How many queries (and price lookups) to run in parallel. Keep low to respect Discogs rate limits. ## `proxyConfiguration` (type: `object`): Apify Proxy (datacenter) rotates IPs to ease Discogs rate limits. ## Actor input object example ```json { "queries": [ "Pink Floyd" ], "type": "release", "genre": "", "style": "", "year": "", "format": "", "country": "", "includePrice": false, "maxItemsPerQuery": 200, "maxItems": 0, "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": true } } ```` # 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 = { "queries": [ "Pink Floyd" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sashaebashu/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 = { "queries": ["Pink Floyd"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sashaebashu/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 '{ "queries": [ "Pink Floyd" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call sashaebashu/discogs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sashaebashu/discogs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Vinyl & Music Scraper", "description": "Scrape Discogs releases — demand (have/want), genres, formats, labels and optional marketplace prices. For collectors, dealers and crate-diggers.", "version": "0.1", "x-build-id": "6QJWSRWeAnbFKi1Ts" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sashaebashu~discogs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sashaebashu-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sashaebashu~discogs-scraper/runs": { "post": { "operationId": "runs-sync-sashaebashu-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sashaebashu~discogs-scraper/run-sync": { "post": { "operationId": "run-sync-sashaebashu-discogs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search queries", "type": "array", "description": "Search terms, e.g. \"Pink Floyd\", \"Aphex Twin Selected Ambient Works\". Each is scraped separately.", "items": { "type": "string" } }, "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, Hip Hop.", "default": "" }, "style": { "title": "Style (optional)", "type": "string", "description": "Filter by style, e.g. House, Ambient, Synth-pop.", "default": "" }, "year": { "title": "Year (optional)", "type": "string", "description": "Filter by release year, e.g. 1973.", "default": "" }, "format": { "title": "Format (optional)", "type": "string", "description": "Filter by format, e.g. Vinyl, CD, Cassette.", "default": "" }, "country": { "title": "Country (optional)", "type": "string", "description": "Filter by country of release, e.g. US, UK, Germany.", "default": "" }, "includePrice": { "title": "Include marketplace price", "type": "boolean", "description": "Enrich each release with the lowest marketplace price and the number of copies for sale. Slower (one extra request per release) and applies to release type only.", "default": false }, "discogsToken": { "title": "Discogs token (optional)", "type": "string", "description": "Optional free personal access token from discogs.com/settings/developers. Not required, but raises the API rate limit (25 → 60 requests/min) for large or price-enriched runs." }, "maxItemsPerQuery": { "title": "Max items per query", "minimum": 1, "type": "integer", "description": "Cap results collected per search query.", "default": 200 }, "maxItems": { "title": "Max items (total)", "minimum": 0, "type": "integer", "description": "Global cap across all queries (0 = unlimited).", "default": 0 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many queries (and price lookups) to run in parallel. Keep low to respect Discogs rate limits.", "default": 4 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify Proxy (datacenter) rotates IPs to ease Discogs rate limits." } } }, "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 } } } } } } } } } } ```