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Discogs Scraper API

Turn any Discogs release or artist page into JSON: format and pressing details, the full tracklist, label and catalog number, and marketplace prices including lowest, median, and highest sale.

Titles & profilesRatings & reviewsCharts & rankingsCatalog data
▸ Overview

Discogs is the authoritative database and marketplace for physical music releases, cataloging every pressing, format, and edition down to the matrix number. The Discogs Scraper API resolves release and artist pages into validated JSON with tracklists, label and catalog data, and marketplace price statistics.

It is built for record-collecting marketplaces and music-archival tools that need pressing-level detail plus secondary-market pricing. Marketplace prices, including lowest, median, and highest sale, resolve at request time per release.

Discogs Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.discogs.com/",
  "type": "title",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "title": "...",
    "year": 2024,
    "rating": 8.4,
    "votes": 184220,
    "genres": ["Drama"],
    "runtime_min": 128
  }
}
"type": "title", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Discogs data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Title / profile details

  • Title / name, type, year, summary
  • Genres, language, runtime / length
  • Poster / cover and media
  • External IDs and links

Ratings & reviews

  • Aggregate rating and vote count
  • Critic vs. audience scores
  • Review text, author, date
  • Full review pagination

Credits / tracklist

  • Cast, crew, or artist credits
  • Roles, episodes, or tracks
  • Related titles and recommendations

Charts & rankings

  • Top / trending / popular charts
  • Rank by category and region
  • Rank history over time

Search results

  • Ranked titles per query
  • Genre, year, type filters
  • Pagination across result pages
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Record-collecting marketplace pricing

[ 02 ]

Pressing and edition cataloging

[ 03 ]

Secondary-market valuation tracking

[ 04 ]

Music-archival and discography datasets

▸ FAQ

Discogs scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

DISCOGS DATA · ON TAP

Start pulling Discogs data this week.

Tell us the Discogs surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies