# Discogs Marketplace Vinyl Price Guide Scraper (`jungle_synthesizer/discogs-marketplace-vinyl-price-guide-scraper`) Actor Scrape Discogs marketplace pricing data for vinyl records. Returns current market stats (copies for sale, lowest price), per-condition price suggestions (Mint/NM/VG+), and collector demand signals. Uses the official Discogs REST API — no Cloudflare HTML scraping. - **URL**: https://apify.com/jungle\_synthesizer/discogs-marketplace-vinyl-price-guide-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, For creators - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Marketplace Vinyl Price Guide Scraper Scrape marketplace pricing data for vinyl records and releases from Discogs. Returns current market stats (copies for sale, lowest price), per-condition price suggestions (Mint / NM / VG+ / VG / G), and collector demand signals (community have/want counts, rating). Powered by the official Discogs REST API — no Cloudflare-walled HTML scraping. ### What you get Each record in the output dataset represents one Discogs release with: | Field | Description | |-------|-------------| | `release_id` | Discogs release ID | | `master_id` | Master release ID (if applicable) | | `title` | Release title | | `artists` | Artist names (comma-separated) | | `year` | Release year | | `country` | Country of release | | `formats` | Format details — e.g. "Vinyl LP Album 180 gram" | | `labels` | Label names (comma-separated) | | `catno` | Catalogue number | | `genres` | Genres (comma-separated) | | `styles` | Styles (comma-separated) | | `num_for_sale` | Copies currently listed for sale on Discogs marketplace | | `lowest_price_value` | Lowest marketplace listing price (numeric) | | `lowest_price_currency` | Currency of the lowest price (e.g. USD) | | `price_suggestion_mint` | Suggested price for Mint (M) condition | | `price_suggestion_near_mint` | Suggested price for Near Mint (NM or M-) condition | | `price_suggestion_very_good_plus` | Suggested price for Very Good Plus (VG+) condition | | `price_suggestion_very_good` | Suggested price for Very Good (VG) condition | | `price_suggestion_good_plus` | Suggested price for Good Plus (G+) condition | | `price_suggestion_good` | Suggested price for Good (G) condition | | `price_suggestion_fair` | Suggested price for Fair (F) condition | | `price_suggestion_poor` | Suggested price for Poor (P) condition | | `community_have` | Number of Discogs users who own this release | | `community_want` | Number of Discogs users who want this release | | `community_rating_average` | Average community rating (0-5) | | `community_rating_count` | Total number of ratings | | `tracklist` | Track listing (optional, enabled via `includeTracklist`) | | `identifiers` | Barcodes, matrix numbers, and other identifiers | | `discogs_url` | URL of the release on discogs.com | Price suggestion fields are only populated when a Discogs personal access token is provided (see Authentication below). Market stats (`num_for_sale`, `lowest_price_value`) are available without a token. ### Input #### Search by query ```json { "searchQuery": "Radiohead OK Computer", "maxItems": 50 } ```` The `searchQuery` field accepts any Discogs search syntax: artist name, album title, label name, or combinations. Searches are automatically scoped to vinyl (`format=Vinyl`). #### Fetch specific release IDs ```json { "releaseIds": [249504, 1362375, 4950798], "maxItems": 10 } ``` Supply a list of known Discogs release IDs to fetch their marketplace data directly, bypassing the search step. #### With tracklist ```json { "searchQuery": "Blue Note Records", "includeTracklist": true, "maxItems": 20 } ``` Enabling `includeTracklist` adds one additional API call per release. #### Full input schema | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | — | Artist, album, or label search query | | `releaseIds` | array | — | List of specific Discogs release IDs | | `discogsToken` | string | — | Optional personal access token (see Authentication) | | `includeTracklist` | boolean | `false` | Include full tracklist in each record | | `maxItems` | integer | 15 | Maximum number of releases to return | Either `searchQuery` or `releaseIds` is required. ### Authentication (optional but recommended) Without a token: - Rate limit: **60 requests/minute** - Price suggestions fields: **not available** (all null) With a Discogs personal access token: - Rate limit: **240 requests/minute** (4x faster) - Price suggestions: **fully populated** (all 8 condition levels) To get a free personal access token: 1. Log in at [discogs.com](https://www.discogs.com) 2. Go to Settings then Developers 3. Click Generate new token 4. Paste the token into the `discogsToken` input field ### Use cases **Vinyl resellers and record shops:** Track current market prices and inventory depth for titles you buy and sell. Export to spreadsheet or connect to your pricing tool. **Collector price tracking:** Run the actor on a schedule to build a lowest-price history for your want list. Identify the best time to buy. **Record store inventory pricing:** Bulk-price your collection by condition using the per-condition price suggestions (Mint, NM, VG+, VG, G). **Market research:** Analyze demand signals (`community_have`, `community_want`, `community_rating_average`) to identify undervalued or high-demand pressings. **Cross-source data joins:** The `release_id` field links directly to Discogs. The `identifiers` field carries barcodes for joining with other datasets such as MusicBrainz. ### Rate limits and speed The Discogs API enforces global rate limits per IP address or token: | Mode | Approximate speed | |------|------------------| | Anonymous (no token) | ~18-20 releases/minute | | With personal access token | ~60-70 releases/minute | For large jobs (hundreds of releases), supply a personal access token for significantly faster throughput. ### Data freshness Marketplace data (`num_for_sale`, `lowest_price_value`, price suggestions) reflects the Discogs marketplace at the time the actor runs. For price tracking, schedule recurring runs and store the results with a timestamp. ### Technical notes - Strategy: JSON API via Discogs public REST API at `api.discogs.com` - No proxy required — the API is publicly accessible worldwide - Memory: 256 MB - Per-release API calls: 2 without token (release details + marketplace stats); 3 with token (adds price suggestions) - The Discogs `/sell/release/{id}` HTML pages are not used — they return Cloudflare 403 errors # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `searchQuery` (type: `string`): Artist, album title, or label to search for. Supports Discogs search syntax (e.g. "Radiohead OK Computer", "Blue Note Records"). ## `releaseIds` (type: `array`): Optional list of specific Discogs release IDs to fetch directly, bypassing the search step. Use when you already know the exact IDs. ## `discogsToken` (type: `string`): Optional Discogs personal access token. Raises the rate limit from 60 to 240 requests/minute and enables per-condition price suggestions (Mint/NM/VG+/VG/Good). Get one at discogs.com/settings/developers. ## `includeTracklist` (type: `boolean`): Include the full tracklist in each record. Adds one API call per release. ## `maxItems` (type: `integer`): Maximum number of releases to scrape. Leave blank for no limit. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "Radiohead OK Computer", "releaseIds": [ 249504, 1362375 ], "includeTracklist": false, "maxItems": 10 } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "Radiohead OK Computer", "releaseIds": [ 249504, 1362375 ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/discogs-marketplace-vinyl-price-guide-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "Radiohead OK Computer", "releaseIds": [ 249504, 1362375, ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/discogs-marketplace-vinyl-price-guide-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "Radiohead OK Computer", "releaseIds": [ 249504, 1362375 ], "maxItems": 10 }' | apify call jungle_synthesizer/discogs-marketplace-vinyl-price-guide-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/discogs-marketplace-vinyl-price-guide-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discogs Marketplace Vinyl Price Guide Scraper", "description": "Scrape Discogs marketplace pricing data for vinyl records. Returns current market stats (copies for sale, lowest price), per-condition price suggestions (Mint/NM/VG+), and collector demand signals. Uses the official Discogs REST API — no Cloudflare HTML scraping.", "version": "0.1", "x-build-id": "ViyvgweZDm3CziWG9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~discogs-marketplace-vinyl-price-guide-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-discogs-marketplace-vinyl-price-guide-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/jungle_synthesizer~discogs-marketplace-vinyl-price-guide-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-discogs-marketplace-vinyl-price-guide-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/jungle_synthesizer~discogs-marketplace-vinyl-price-guide-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-discogs-marketplace-vinyl-price-guide-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Artist, album title, or label to search for. Supports Discogs search syntax (e.g. \"Radiohead OK Computer\", \"Blue Note Records\").\n" }, "releaseIds": { "title": "Release IDs", "type": "array", "description": "Optional list of specific Discogs release IDs to fetch directly, bypassing the search step. Use when you already know the exact IDs.\n" }, "discogsToken": { "title": "Discogs Personal Access Token", "type": "string", "description": "Optional Discogs personal access token. Raises the rate limit from 60 to 240 requests/minute and enables per-condition price suggestions (Mint/NM/VG+/VG/Good). Get one at discogs.com/settings/developers.\n" }, "includeTracklist": { "title": "Include Tracklist", "type": "boolean", "description": "Include the full tracklist in each record. Adds one API call per release.", "default": false }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of releases to scrape. Leave blank for no limit.", "default": 15 } } }, "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 } } } } } } } } } } ```