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Grailed Scraper - Fashion Listings & Sold Prices

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Grailed Scraper - Fashion Listings & Sold Prices

Grailed Scraper - Fashion Listings & Sold Prices

Scrape Grailed fashion listings and sold prices into structured data - designer/brand, category, size, condition, price (+ price-drop history), sold price, seller, location & photos. Search by keyword, paste Grailed URLs, or pull sold-item data for resale & pricing research.

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from $2.20 / 1,000 results

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James Scott

James Scott

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3 days ago

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Scrape fashion listings and sold prices from Grailed into clean, structured data - no Grailed account or API key required. Search by keyword, paste Grailed URLs, or pull sold-item data with final sold prices for resale and pricing research.

What you get (per listing)

  • Stable listing id and canonical grailed.com/listings/{id} URL
  • Title, designer / brand, category & full category path, department (Menswear / Womenswear)
  • Size, condition (New/Never Worn, Gently Used, Used, Very Worn), color, styles
  • Price, original price and full price-drop history
  • Sold status, sold price, and sold date (populated on the "Sold" datasets)
  • Seller username, rating and trusted-seller flag; item location
  • Cover photo URL, photo count, follower count, "heat", badges, buy-now / make-offer flags, created-at timestamp

Input

  • Grailed URLs (optional) - paste search / designer / category URLs; a keyword is derived from each URL's ?query= param or last path segment (e.g. /designers/nike -> nike).
  • Search keyword (optional) - e.g. nike, supreme box logo, maison margiela boots. Leave everything empty to browse the whole feed.
  • Sort / dataset - Relevance, Newest, Price low/high, Most popular, or a Sold option (Sold items / Sold price high-low / low-high) to get final sold prices.
  • Max listings - caps the run.
  • Proxy - Apify default datacenter proxy is sufficient.

Example input

{
"query": "nike",
"sort": "sold",
"maxItems": 200,
"proxyConfiguration": { "useApifyProxy": true }
}

Or paste URLs directly:

{
"startUrls": [{ "url": "https://www.grailed.com/designers/nike" }],
"sort": "newest",
"maxItems": 100
}

Why this actor

  • Reads Grailed's own Algolia search backend, not fragile CSS selectors - every field comes straight from structured JSON, so records are complete and the parser survives site redesigns.
  • Sold prices included: the dedicated Sold datasets expose final sold prices and dates - the data resellers actually need for pricing.
  • Fast + cheap: listings are read in bulk pages with no per-listing detail requests, and it runs on Apify's default datacenter proxy (no pricey residential proxy).
  • Clean, paginating output: de-duplicated by stable listing id, UTF-8 normalized, numbers coerced. Export as JSON, CSV, or Excel, or pull via the API.

Great for resellers, sneaker/streetwear flippers, and analysts doing price research, sold-comps analysis, and inventory monitoring.

This is public marketplace data for research; it is not a consumer report and must not be used for FCRA-covered purposes.