Discogs Marketplace Scraper

What this Actor scrapes

Two row types share one flat schema. The row_type discriminator selects which fields are populated — listing rows carry per-seller pricing, condition grades, and seller ratings; stats rows carry the per-release marketplace aggregate.

What we handle for you

• Per-listing asking prices, condition grades, seller ratings, and ships-from country
• Per-release marketplace stats row (lowest asking price, total active listings,
• Input by release ID (deterministic, fast) or by free-text search query — the search
• Single flat schema with a row_type discriminator — easy to join or aggregate
• Pydantic v2 input validation — XOR between releaseIds and searchQuery is
• Conservative rate-limit pacing at one request every 1.5 seconds (~40 req/min) —
• Per-release fail isolation — one bad release ID logs a warning and the run continues.

Use cases

• Vinyl / CD reseller benchmarking — pull every active listing for releases in your
• Music-collectibles arbitrage — monitor cross-country shipping spreads
• Catalog / label market intel — for a label's release IDs, track num_for_sale
• Journalism / pricing studies — "the cheapest first pressing of Nevermind on
• Marketplace health monitoring — count stats_blocked_from_sale=true rows across
• Seller-quality screening — filter listings by seller_rating_pct >= 99.0 and

Input

Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.

{
  "releaseIds": [
    "249504"
  ],
  "maxSearchResults": 5,
  "maxPagesPerRelease": 4,
  "maxListingsPerRelease": 100,
  "includeStatsRow": true,
  "useProxy": true
}

Output

One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.

row_typerelease_idrelease_titleartistyearcountryformat_nameformat_descriptionsgenresmaster_idrelease_urllisting_idlisting_urlasking_priceasking_currencyshipping_text

{
  "row_type": "listing",
  "release_id": 249504,
  "release_title": "Never Gonna Give You Up",
  "artist": "Rick Astley",
  "year": 1987,
  "country": "UK",
  "format_name": "Vinyl",
  "format_descriptions": [
    "7\"",
    "45 RPM",
    "Single",
    "Stereo"
  ],
  "genres": [
    "Electronic",
    "Pop"
  ],
  "master_id": 96559,
  "release_url": "https://www.discogs.com/release/249504",
  "listing_id": 3761251765,
  "listing_url": "https://www.discogs.com/sell/item/3761251765",
  "asking_price": 0.5,
  "asking_currency": "GBP",
  "shipping_text": "+\u00a315.00",
  "condition_media": "Very Good Plus (VG+)",
  "condition_sleeve": "Generic",
  "seller_username": "Ronan266",
  "seller_rating_pct": 100.0,
  "seller_rating_count": 35,
  "seller_country": "United Kingdom",
  "stats_lowest_price": null,
  "stats_lowest_currency": null,
  "stats_num_for_sale": null,
  "stats_blocked_from_sale": null,
  "scraped_at": "2026-05-16T12:00:00.000Z"
}

Pricing

You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.

Limitations

• Asking prices only — no closed-sale history. Discogs hosts sold-price data at
• Public Discogs surfaces only. No authenticated Discogs API calls, no personal
• One snapshot per run. Schedule recurring runs via Apify Schedules for
• 25 listings per page — a Discogs-imposed pagination size. Combined with
• Currency is not normalised. Discogs serves prices in the seller's local currency
• Throughput ~40 req/min. A 10-release run with 4 pages each takes roughly
• 7-day default storage retention on the Apify FREE tier. Export your dataset