Discogs Records Scraper (Cheap) avatar

Discogs Records Scraper (Cheap)

Pricing

from $3.99 / 1,000 results

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Discogs Records Scraper (Cheap)

Discogs Records Scraper (Cheap)

Discogs Record Miner is a dedicated search scraper that extracts artist profiles, releases, and labels from Discogs, so you can build and update your music catalog databases without blocks.

Pricing

from $3.99 / 1,000 results

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Developer

Data API

Data API

Maintained by Community

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2

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1

Monthly active users

4 days ago

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Discogs Records Scraper

Discogs Records Scraper

Searching Discogs by hand means typing a name, scrolling page after page, and copying each title, artist, and link into a sheet by yourself. This scraper skips all of that. Give it a list of artists, albums, labels, or plain keywords and it returns every matching record as a clean row, with the title, category, artist, cover image, and Discogs link already split into fields. It runs fast, costs little, needs no code, and you only pay for the records you pull.

What you get

Each match comes back as one row covering three things:

  • What it isrecordTitle, resultCategory (artist, release, master, or label), and the searchTerm that found it
  • Who made itcreatorName and creatorUrl for releases and masters
  • Where to find itrecordUrl, coverImage, and a collectedAt timestamp

Quick start

  1. Open the actor and hit Try for free.
  2. Type your artists, albums, labels, or keywords into Search terms, one per line.
  3. Pick a Result category if you only want artists, releases, masters, or labels; leave it on every category for all matches.
  4. Set Results per term to cap how many records each term brings back.
  5. Press Start, then export the rows as JSON, CSV, Excel, or XML.

How it works

Use cases

  • Record collectors — track down every pressing and master of an album across the Discogs catalog
  • Music researchers — pull a label's or artist's catalog into a spreadsheet for analysis
  • Resellers and crate diggers — build watchlists of titles to hunt for in the marketplace
  • Data and ML teams — assemble a structured music dataset of titles, artists, and categories
  • Apps and tools — feed live Discogs search results into your own catalog, sheet, or BI dashboard

Input

FieldTypeRequiredDescription
searchTermsarray of stringsYesArtists, albums, labels, or keywords to look up; each term runs separately with pagination. Prefilled with an Aphex Twin search.
categoryFilterstringNoLimit results to one Discogs category: artist, release, master, or label. Default all.
resultsPerTermintegerNoHow many records to return per term. Default 50.
timeoutSecondsintegerNoSeconds to wait on each request before it times out. Default 45.

Example input

{
"searchTerms": [
"aphex twin",
"boards of canada"
],
"categoryFilter": "release",
"resultsPerTerm": 50,
"timeoutSeconds": 45
}

Output

Every Discogs match becomes one row, paginated automatically up to your limit. Fields that don't apply to a given entry (an artist result has no creator, for instance) come back empty rather than guessed.

Example output

{
"searchTerm": "aphex twin",
"resultCategory": "release",
"recordTitle": "Aphex Twin - Selected Ambient Works 85-92",
"recordUrl": "https://www.discogs.com/release/1234567-Aphex-Twin-Selected-Ambient-Works-85-92",
"coverImage": "https://i.discogs.com/example-thumbnail.jpg",
"creatorName": "Aphex Twin",
"creatorUrl": "https://www.discogs.com/artist/45-Aphex-Twin",
"collectedAt": "2026-06-29T12:00:00.000000+00:00"
}

Output fields

FieldTypeDescription
searchTermstringThe keyword or name that surfaced this record
resultCategorystringDiscogs category: artist, release, master, or label
recordTitlestringName or title shown for the entry
recordUrlstringDirect Discogs link to the entry
coverImagestringThumbnail of the sleeve art or artist photo
creatorNamestringArtist behind the record, on releases and masters
creatorUrlstringDirect Discogs link to the artist page
collectedAtstringTimestamp of when the search ran

Tips for best results

  • Be specific with terms. A precise artist or album name returns cleaner matches than a broad keyword.
  • Use categoryFilter to cut noise. Set it to release or master when you only want records, or label when you're mapping a catalog.
  • Start small with resultsPerTerm. Try 50 to confirm the output fits your pipeline, then raise it for a full pull.
  • Add terms in bulk. Paste a whole list into searchTerms and the scraper works through them one by one.
  • Raise timeoutSeconds if you hit timeouts on larger runs.

How can I use Discogs records data?

How can I use the Discogs Records Scraper to catalog an artist's discography? Add the artist name to searchTerms, set categoryFilter to release or master, and run it. Each row carries recordTitle, creatorName, and recordUrl, so you get a clean list of every pressing and master tied to that name.

How can I export Discogs label data to a spreadsheet? Put the label name in searchTerms with categoryFilter set to label (or all to include its releases), set resultsPerTerm to the volume you need, and export to CSV or Excel. The result is a structured table of titles, categories, artists, and links.

How can I build a music dataset from Discogs search results? Feed in a batch of artists, albums, or keywords, leave categoryFilter on every category, and let the scraper paginate each term. You get a consistent dataset of recordTitle, resultCategory, creatorName, coverImage, and recordUrl ready for analysis or a model.

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.