Discogs Marketplace Scraper ($1.50/1K) avatar

Discogs Marketplace Scraper ($1.50/1K)

Pricing

from $0.90 / 1,000 marketplace listings

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Discogs Marketplace Scraper ($1.50/1K)

Discogs Marketplace Scraper ($1.50/1K)

Scrape the Discogs marketplace: every record copy for sale per release, master or seller. Price, shipping, converted price, media and sleeve condition, seller notes and rating, plus release have/want, last sold and low/median/high price. Reliable, no login.

Pricing

from $0.90 / 1,000 marketplace listings

Rating

0.0

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Developer

Carabain Digital

Carabain Digital

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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Limited permissions

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What is Discogs Marketplace Scraper?

Discogs Marketplace Scraper scrapes the Discogs marketplace (discogs.com/sell), the biggest online marketplace for vinyl, CDs and cassettes: every copy for sale of a release, with the price, shipping cost, price converted to USD, media and sleeve condition, the seller's own notes, seller rating and ships-from country. Every listing is enriched with release-level data: have/want counts, copies for sale, lowest asking price, last sold date and low, median and high price paid. Paste a release, master or seller URL, or search by name, and get clean, flat data as JSON, CSV, Excel, XML or HTML. Prefilled example: the 25 cheapest copies of Rick Astley's Never Gonna Give You Up (UK 7"), ready in seconds. Costs $1.50 per 1,000 listings.

  • 💿 Complete listing data: price, shipping, converted price, media and sleeve condition, seller comments, seller rating, ships-from, label and catalog number
  • 📊 Price context on every row: have/want, copies for sale, lowest price, last sold, low/median/high price paid
  • 🔗 Release, master or seller: a master is expanded into its versions, a seller page gives the whole inventory, filters in your URL are kept
  • 🔍 Search by name: the best matching releases are scraped without looking up IDs
  • 🛡️ Built for reliability: no login, no browser, Cloudflare handled without a browser, retries on a fresh session, a blocked run fails clearly instead of returning an empty dataset
  • ⚡ Fast: up to 250 listings per request, a release with 124 copies takes about 4 seconds
  • 🔌 Connect anywhere: API, schedules, webhooks, Google Sheets, Make, Zapier, MCP / AI agents

What data can I extract from Discogs?

🆔 Listing ID and URL, release ID and URL💶 Price and currency, shipping cost, price in USD
🎚️ Media and sleeve condition📝 Seller's comments on the copy
👤 Seller name, positive rating %, number of ratings🌍 Ships-from country, unavailable-in country, accepts offers
🏷️ Label and catalog number🎤 Artist, release title, year, country, formats, genres, styles
❤️ Have / want, rating, copies for sale📈 Lowest price, last sold, low / median / high price paid

Sold history (the list of every past sale) and Discogs' price suggestions need a Discogs login and are not included. The last sold date and the low, median and high price shown on each release page are included on every listing.

How do I scrape the Discogs marketplace?

  1. Create a free Apify account and open this Actor.
  2. Paste one or more Discogs URLs (a release, a master or a seller page) or enter a Search.
  3. Set Max listings and the Sort order (cheapest first by default).
  4. Click Start, then download the listings from the Output tab as JSON, CSV, Excel, XML or HTML.

How much does it cost to scrape the Discogs marketplace?

You pay per listing that ends up in your dataset: $1.50 per 1,000 listings, no subscription, release statistics included. The monthly credit of Apify's Free plan ($5) covers around 3,000 listings. Paid plans get volume discounts. Failed runs and empty results cost nothing, and you can cap spending with Maximum cost per run in the run options. See the Pricing tab for the current prices.

⬇️ Input

FieldDescription
Discogs URLs (start_urls)Release (/release/249504), master (/master/13509), seller (/seller/Ronan266/profile) or /sell/list?release_id=249504&... URLs. Filters in the URL (condition, ships_from) are kept
Search (search)Free-text search: the best matching releases are scraped
Max listings (limit)Stop after this many listings in total
Sort order (sort)price_asc (default) or price_desc, by the price converted to USD
Max releases (max_releases)For masters, searches and seller pages: how many releases to use / enrich
Discogs API token (discogs_token)Optional, raises the release-data rate limit from 25 to 60 requests per minute
Proxy (proxyConfiguration)Apify datacenter proxy, country US, preselected. Switch to Residential if runs get blocked
{
"start_urls": [{ "url": "https://www.discogs.com/release/249504-Rick-Astley-Never-Gonna-Give-You-Up" }],
"sort": "price_asc",
"limit": 25
}

A master is expanded into its main release plus its other versions (up to Max releases); versions with nothing for sale are skipped. A seller URL gives that seller's inventory, and release data is added for the first Max releases distinct releases. General marketplace searches without a release (for example /sell/list?format=Vinyl) are blocked by Discogs and not supported: search by name or use release URLs instead.

⬆️ Output

Listings are stored in the default dataset. View them as a table in the Output tab or export JSON, CSV, Excel, XML or HTML. Every item has the same keys; fields that do not apply are null.

{
"id": "discogs:3528577817",
"source": "discogs",
"url": "https://www.discogs.com/sell/item/3528577817",
"listing_id": "3528577817",
"release_id": "249504",
"release_url": "https://www.discogs.com/release/249504-Rick-Astley-Never-Gonna-Give-You-Up",
"title": "Rick Astley - Never Gonna Give You Up (7\", Single)",
"label": "RCA",
"catalog_number": "PB 41447",
"price": 0.5,
"currency": "GBP",
"shipping_price": 32.0,
"converted_price": 43.33,
"converted_currency": "USD",
"media_condition": "Very Good (VG)",
"sleeve_condition": "No Cover",
"seller_comments": "Hairline marks, small scuffs on the disk",
"seller_name": "Horus-XVI",
"seller_url": "https://www.discogs.com/seller/Horus-XVI/profile",
"seller_rating_pct": 99.2,
"seller_rating_count": 133,
"ships_from": "United Kingdom",
"unavailable_in": null,
"accepts_offers": true,
"release_have": 4161,
"release_want": 594,
"scraped_at": "2026-11-02T20:24:36Z",
"artist": "Rick Astley",
"release_title": "Never Gonna Give You Up",
"year": 1987,
"country": "UK",
"master_id": 96559,
"release_rating": 3.88,
"release_rating_count": 249,
"release_num_for_sale": 124,
"release_lowest_price": 0.67,
"release_last_sold": "2026-10-16",
"release_price_low": 0.47,
"release_price_median": 2.65,
"release_price_high": 12.0,
"release_price_currency": "USD",
"formats": ["Vinyl (7\", 45 RPM, Single, Stereo)"],
"genres": ["Electronic", "Pop"],
"styles": ["Euro-Disco"]
}

price is the asking price in the seller's currency (currency) and does not include shipping. shipping_price is the cost to a buyer in the proxy's country (US by default): 0 means free, null means the seller does not ship there (unavailable_in then names the country). Compare listings on converted_price, which Discogs converts to USD.

What can I do with Discogs marketplace data?

  • 💰 Price tracking and arbitrage: spot copies listed far below the median price paid, schedule a run and alert on new low prices
  • 📉 Valuation: median, high and last sold date per release for collections, insurance, stores and estate sales
  • 🏪 Competitor monitoring: pull a seller's whole inventory with prices and conditions
  • 🔎 Pressing comparison: all versions of a master side by side, with have/want and copies for sale
  • 🧠 AI and analytics: feed conditions, comments and prices into valuation models or agents

Tips for best results

  • Discogs shows up to 250 copies per request, so even popular releases are quick. For several releases pass several URLs or a master.
  • Listings are ordered by price converted to USD, so price in different currencies is not monotonic. Sort on converted_price.
  • Newest-first ordering is not available: Discogs' Cloudflare rules block that sort for automated clients. For monitoring, schedule a run and compare listing_ids with the previous run.
  • Release statistics (release_last_sold, price low/median/high) are in the currency of the proxy country; with the default US proxy that is USD. They are null for a release that never sold.
  • Release data comes from the official Discogs API (25 requests per minute without a token): a master or search with many releases takes about 2.5 seconds per release.
  • Data is cached per run, so a release shared by many listings is only looked up once.

Frequently asked questions

Can I use Discogs Marketplace Scraper with the Apify API?

Yes. Every run has a dataset you can read through the Apify API. Python:

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("carabain-digital/discogs-marketplace").call(run_input={
"start_urls": [{"url": "https://www.discogs.com/release/249504"}],
"sort": "price_asc",
"limit": 100,
})
for copy in client.dataset(run["defaultDatasetId"]).iterate_items():
print(copy["converted_price"], copy["media_condition"], copy["seller_name"])

JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('carabain-digital/discogs-marketplace').call({
start_urls: [{ url: 'https://www.discogs.com/release/249504' }],
sort: 'price_asc',
limit: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'copies for sale');

Can I use Discogs Marketplace Scraper through an MCP server or with AI agents?

Yes. Add it to an AI agent through the Apify MCP server (https://mcp.apify.com?tools=carabain-digital/discogs-marketplace), or let the agent find it with search-actors and run it with call-actor. A small run (limit 25) finishes in a few seconds, and the items are flat and small, so agents can read them with get-dataset-items. Example prompt: "Use Discogs Marketplace Scraper to find the 20 cheapest copies of Discogs release 249504 in Near Mint condition and tell me the median price paid."

Can I integrate Discogs marketplace data with other apps?

Yes: Google Sheets, Slack, Make, Zapier, n8n, Airtable or your own webhook, through Apify integrations and webhooks. Schedule a run every morning and send underpriced copies to your inbox or a spreadsheet.

Why do I need a proxy?

Discogs' marketplace pages are protected by Cloudflare. The Actor defaults to Apify's datacenter proxy in the US (Residential also works) and uses a browser-like TLS fingerprint that passes without a headless browser. If a run is blocked it retries on a fresh proxy session; if it still fails the run fails with a clear message instead of returning an empty dataset.

Why is shipping_price empty?

Discogs shows the shipping cost for a buyer in the proxy's country. When the seller does not ship there, the shipping amount is missing and unavailable_in names the country. Pick another proxy country in the Proxy field to see prices for buyers elsewhere.

Does it include sold prices?

It includes the last sold date and the low, median and high price paid for each release, as shown on the release page. The list of individual past sales (/sell/history) needs a Discogs login and is not available.

The Actor only collects publicly visible marketplace listings, the same data anyone can see on discogs.com. Listings show seller usernames and notes, and rules such as GDPR may apply to how you store and use them. Check your use case and Discogs' terms with a lawyer. More background: Is web scraping legal?

Discogs Marketplace Scraper not working? Feedback

Open an issue on the Issues tab of this Actor with the run link and we will look at it. Feature ideas are welcome there too.

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