Grailed Scraper - Fashion Listings & Sold Prices
Pricing
from $2.20 / 1,000 results
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.
Pricing
from $2.20 / 1,000 results
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James Scott
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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.