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Grailed Resale Listings Scraper

Pricing

from $0.80 / 1,000 record scrapeds

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Grailed Resale Listings Scraper

Grailed Resale Listings Scraper

Scrape Grailed designer and streetwear resale listings — active and SOLD — via the Algolia search API. Returns full listing data including sold price, seller score, original price, and arbitrage-ready comparables.

Pricing

from $0.80 / 1,000 record scrapeds

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BowTiedRaccoon

BowTiedRaccoon

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5 hours ago

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Scrape Grailed designer and streetwear resale listings — both active and SOLD — via the Algolia search API. Returns full listing data including sold price, seller score, original retail price, and arbitrage-ready comparables.

What it does

This actor queries Grailed's Algolia search index directly, giving you fast and complete listing data without relying on rendered HTML. Each run:

  1. Fetches live Algolia credentials from the Grailed page (the search key rotates — hardcoded keys don't work)
  2. Pages through active listings in the Listing_production Algolia index
  3. Optionally pages through sold listings in the Listing_sold_production index
  4. Returns structured records with all fields needed for resale comps and arbitrage analysis

Use cases

  • Resale comps: filter by designer and category to see what items actually sold for vs. asking price
  • Brand arbitrage: track original retail price vs. resale price across brands and categories
  • Inventory research: survey active listings for a designer or category to understand market depth and pricing
  • Seller intelligence: combine seller score and total transactions to identify top-rated sellers

Input

FieldTypeRequiredDescription
categorystringone of theseGrailed category slug (e.g. outerwear, tops, bottoms, footwear, accessories)
designerstringone of theseDesigner / brand name (e.g. Supreme, Rick Owens, Comme des Garcons)
querystringone of theseFree-text search term — same effect as designer (e.g. Supreme hoodie)
includeSoldbooleannoInclude SOLD listings (default: true)
maxItemsintegernoMax total listings to return. 0 = no limit (default: 0)

One of category, designer, or query must be provided.

Example — sold Supreme outerwear comps:

{
"category": "outerwear",
"designer": "Supreme",
"includeSold": true,
"maxItems": 500
}

Example — all active outerwear listings:

{
"category": "outerwear",
"includeSold": false
}

Output

Each record contains:

FieldDescription
listing_idGrailed listing ID
titleListing title
designerBrand or designer name
departmentmenswear or womenswear
categoryTop-level category (e.g. outerwear)
sub_categorySub-category (e.g. parkas)
sizeItem size
conditionCondition string (e.g. is_gently_used)
priceAsking price in USD
original_priceOriginal retail price in USD
soldtrue if the listing has sold
sold_priceFinal sold price in USD (sold listings only)
sold_atISO-8601 timestamp when sold
seller_usernameGrailed username of the seller
seller_scoreSeller rating average (0–5)
locationSeller's country
listing_urlFull URL to the listing on Grailed
photo_urlPrimary listing photo URL
created_atWhen the listing was created
updated_atWhen the listing was last updated
scrapedAtISO-8601 scrape timestamp

Performance and limits

  • Speed: ~1000 listings/page, ~200ms between pages — expect ~5-10k listings/minute
  • Memory: 256 MB
  • Algolia limits: Max 500 pages x 1000 hits = 500k results per query. For categories with more than 500k listings, use designer + category filters together to scope queries under that limit.
  • Setup: none — run it as it ships.

Notes

  • Grailed's Algolia search key rotates. The actor extracts the live key from the page on each run — do not attempt to hardcode credentials.
  • Sold listings data is only available for items sold through the Grailed platform.
  • The original_price field is populated only when the seller entered it manually.