Whatnot Scraper — Live Shows, Listings & Seller Intelligence

Scrape Whatnot — the fast-growing live-shopping marketplace — for live and upcoming shows, the listings for sale inside them (with prices), and seller business intelligence. Search by category, show URL, or seller. No login, no browser automation — export to CSV, JSON, or Excel.

What you get

Whatnot is where resellers and collectors buy and sell trading cards, sports cards, comics, sneakers, coins and more via live streams. This scraper turns that firehose into clean, structured data you can act on:

• Find live inventory and price it — what's for sale right now, at what price, in which show, by whom.
• Track sellers as businesses — follower count, total items sold, rating, review count and Premier-Shop status — the signals that tell you who actually moves volume.
• Monitor a category — every live and upcoming show in trading_card_games, sports_cards, comics, sneakers and 250+ more.

It reads Whatnot's own data API directly (the same source the site uses), so it returns complete, structured records — not a scrape of rendered HTML that breaks on every redesign.

Three modes

Mode	You provide	You get (one flat record each)
Shows	category names	live/upcoming shows: title, seller, status, viewers, start time, categories
Listings	category names or show URLs	items for sale: title, price, currency, auction/buy-now, seller, show
Sellers	usernames or profile URLs	followers, items sold, rating, reviews, Premier status, recent shows

Turn on "Also fetch each show's listings" in Shows mode to get shows and their live inventory in one run.

Example output (seller)

{
  "recordType": "seller",
  "username": "topmtg",
  "url": "https://www.whatnot.com/user/topmtg",
  "followerCount": 16025,
  "soldCount": 30190,
  "sellerRating": 5,
  "reviewCount": 5460,
  "isPremierShop": true,
  "isLive": true,
  "liveShowCount": 1,
  "categories": ["Magic: The Gathering"],
  "recentShows": [
    { "showId": "8adb0fc7-…", "title": "HUGE MARVEL SALE", "status": "PLAYING", "url": "https://www.whatnot.com/live/8adb0fc7-…" }
  ],
  "scrapedAt": "2026-07-04T12:00:00.000Z"
}

Example output (listing)

{
  "recordType": "listing",
  "title": "SINGLES AT $1",
  "price": 1.0,
  "currency": "USD",
  "listingStatus": "ACTIVE",
  "transactionType": "AUCTION",
  "isAuction": true,
  "currentBid": null,
  "currentBidCount": null,
  "quantity": 1,
  "sellerUsername": "nooga_sportscards",
  "sellerRating": 4.9,
  "sellerReviewCount": 1366,
  "showTitle": "$1 START GEM RIP & SHIP",
  "url": "https://www.whatnot.com/listing/…",
  "scrapedAt": "2026-07-04T12:00:00.000Z"
}

price is the listed / starting price (auctions on Whatnot typically start at $1). GIVEAWAY listings have price: 0. Live bid values (currentBid) update over the auction stream in real time and aren't part of the static catalog — see the FAQ below.

How to use it (quick start)

1. Pick a mode — Shows, Listings, or Sellers.
2. Enter categories (e.g. trading_card_games), show URLs, or seller usernames.
3. Set Max results and run. Export from the Shows / Listings / Sellers dataset views.

Common questions

Which categories can I use?

Any Whatnot category slug, e.g. trading_card_games, sports_cards, pokemon_cards, comics, sneakers, coins_and_money, electronics. You can also paste a /tag/<name> URL.

Does it need a proxy?

Yes — Whatnot's catalog is US-first and anti-bot protected. The actor defaults to Apify US residential proxy, which is required. You can change the country under Advanced.

Can it get sold prices / live auction bids?

The actor captures each listing's listed / starting price (and buy-now prices). Whatnot's live auction bids and final sold prices are broadcast in real time over the auction stream and are ephemeral — they are not part of the static catalog, so currentBid is usually empty. Continuous live-bid and sold-price capture is a separate live-monitor use case.

Is this compliant?

The actor collects public, logged-out marketplace and business data only — show, listing and seller-shop metrics. It does not collect private contact details, buyer identities, or reviewer personal data.

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