Discogs Scraper

What Discogs Scraper can do

• Cross-pressing price statistics. The same album can exist as dozens of pressings with prices that differ by an order of magnitude or more. Turn on Price statistics and a record carries the lowest, median, highest and average asking price sampled across the album's pressings, not just one pressing's number.
• Four record kinds. Release (a specific pressing), master (an album across every pressing), artist and label, all sharing one flat schema.
• Nine search filters. Artist, label, genre, style, format, country, year, catalog number and barcode. They combine with a keyword, and they also work completely on their own.
• Full sort control. Order results by relevance, year, title, format, label, catalog number, country, most collected or most wanted, the same sort keys the catalogue itself offers.
• No account required. Every route this actor reads is the public, anonymous catalogue API. Adding your own free Discogs token is optional and only speeds up large pulls and unlocks per-condition valuation.
• Every column always present. Fields a run does not fill ship as null rather than being dropped, so repeated runs join cleanly in a warehouse or spreadsheet.

Choose what to collect

These inputs let you configure Discogs Scraper - Vinyl Records, Prices & Price Stats. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "kind": "release",
  "recordId": "release:1000001",
  "entityId": 1000001,
  "sourceMode": "search",
  "searchQuery": "sample album",
  "title": "Sample Album",
  "artistName": "Sample Artist",
  "artistNames": [
    "Sample Artist"
  ],
  "year": "1991",
  "country": "UK",
  "primaryGenre": "Rock",
  "primaryStyle": "Grunge",
  "primaryFormat": "Vinyl",
  "primaryLabel": "Sample Records",
  "labelNames": [
    "Sample Records"
  ],
  "catalogNumber": "SR-1234",
  "barcodes": [
    "0000000000000"
  ],
  "genres": [
    "Rock"
  ],
  "styles": [
    "Grunge"
  ],
  "formatDescriptions": [
    "Vinyl",
    "LP",
    "Album"
  ],
  "numForSale": 42,
  "lowestPrice": 12.5,
  "currency": "USD",
  "blockedFromSale": false,
  "priceLowest": 8,
  "priceMedian": 24.99,
  "priceHighest": 89,
  "priceAverage": 30.15,
  "priceCurrency": "USD",
  "priceVersionsSampled": 5,
  "priceVersionsPriced": 5,
  "masterVersionsTotal": 120,
  "totalForSaleAcrossVersions": 61,
  "haveCount": 3400,
  "wantCount": 480,
  "wantToHaveRatio": 0.1412,
  "ratingAverage": 4.1,
  "ratingCount": 210,
  "trackCount": 8,
  "url": "https://www.discogs.com/release/1000001",
  "marketplaceUrl": "https://www.discogs.com/sell/release/1000001",
  "detailLoaded": true,
  "priceStatsLoaded": true,
  "scrapedAt": "2026-09-30T12:00:00+00:00",
  "changeType": "NEW"
}

Ways to use this data

• Collectors and sellers pricing a pressing: compare an album's own pressings by asking price, total copies for sale and demand, before buying or listing.
• Price tracking over time: schedule the actor with incremental mode on to watch an album's price statistics or a search result move, and get only what changed.
• Music data and analytics projects: build a catalogue dataset of releases, artists and labels with tracklists, credits and identifiers for research or cataloguing tools.
• Marketplace and reselling tools: feed live marketplace numbers (copies for sale, lowest price, demand ratio) into your own pricing or alerting app.
• Label and artist research: pull an artist's discography or a label's release history and sub-labels in one structured run.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor