👕 Grailed Scraper — Luxury & Streetwear Resale Data with Deal Scoring

Extract listings from Grailed — the marketplace for grails, hype, sartorial and designer menswear — as clean, structured data with a deal score on every item. Pull live prices, original prices, discounts, sizes, designers and seller stats by keyword, designer or single listing URL, then surface the best-value pieces first. Whether you're a reseller hunting arbitrage, a brand tracking the secondary market or a collector chasing grails, you get the inventory without endless scrolling. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🧥 What is the Grailed Scraper?

It turns any Grailed search, designer page or listing URL into a structured dataset. Search by keyword (e.g. "Rick Owens Ramones"), browse a specific designer, or scrape one listing in full — with filters for price, category, condition, marketplace section and sort order. Every result comes back with prices, discount math and a 0–100 deal score that ranks the strongest buys first.

What data does it extract?

• Title, designer and listing_id
• Price, original_price and discount_percent (with currency)
• Size, condition, category and color
• Seller info — seller_name, seller_rating, seller_transactions
• Listing URL, primary image_url and photos array
• Description (single-listing mode)
• Deal score (0–100) ranking buyer value
• scraped_at timestamp on every record

⬇️ Input

Run it three ways — keyword search, designer browse, or a single listing URL:

Field	Description
mode	search, designer or listing
searchQuery	Keywords, e.g. Supreme box logo, Balenciaga Track (search mode)
designer	Designer slug, e.g. rick-owens, supreme (designer mode)
listingUrl	Direct Grailed listing URL (listing mode)
maxItems	Number of listings to scrape (1–500, default 5)
minPrice / maxPrice	Price filter in USD (0 = no limit)
category	all, tops, bottoms, outerwear, footwear, tailoring, accessories
condition	all, is_new, is_gently_used, is_used, is_very_worn
sortBy	relevance, low, high, new
marketplace	all, grails, hype, sartorial, core
proxyConfiguration	Proxy settings (US residential recommended)

Example input

{
  "mode": "search",
  "searchQuery": "Rick Owens Ramones",
  "maxItems": 50,
  "minPrice": 100,
  "maxPrice": 800,
  "category": "footwear",
  "condition": "is_gently_used",
  "sortBy": "low",
  "marketplace": "grails",
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" }
}

⬆️ Output

Every item is one clean row (view as a table, or export JSON / CSV / Excel):

{
  "listing_id": "12345678",
  "title": "Rick Owens Ramones High-Top Sneakers",
  "designer": "Rick Owens",
  "price": 420.0,
  "original_price": 695.0,
  "discount_percent": 40,
  "currency": "USD",
  "size": "US 10",
  "condition": "Gently Used",
  "category": "Footwear",
  "color": "Black",
  "seller_name": "archive_seller",
  "seller_rating": 4.9,
  "seller_transactions": 132,
  "url": "https://www.grailed.com/listings/12345678",
  "image_url": "https://media-assets.grailed.com/...",
  "photos": ["https://media-assets.grailed.com/..."],
  "deal_score": 88,
  "scraped_at": "2026-06-26T15:30:00.000000"
}

Single-listing runs (listing mode) also return a description field.

💡 Use cases

• 💸 Resellers & arbitrage: spot under-priced grails and hype pieces, sorted by deal score, before they sell.
• 📈 Brand & market research: track secondary-market pricing and demand for specific designers over time.
• 🧮 Pricing intelligence: benchmark your own listings against comparable items, sizes and conditions.
• 🛍️ Catalog & collection building: enrich product feeds or personal wishlists with structured resale data.

🧮 How the deal score works

A transparent 0–100 score combining the discount off original price, item condition, seller reliability (rating and transaction history) and a small adjustment for luxury price tiers. Higher = better value for the buyer. Use it to sort and act on the strongest deals first.

❓ FAQ

How do I scrape Grailed listings? Choose a mode (search, designer or listing), add a keyword or designer (or a listing URL), set filters and maxItems, then Run. You get structured items with prices, discounts, sizes and a deal score.

What is the deal score? A 0–100 rating built from discount, condition, seller rating and transaction volume. Higher means a better-value buy.

Can I scrape a single listing in detail? Yes — set mode: listing and paste the Grailed listing URL; this also returns the full description.

Can I browse one designer? Yes — set mode: designer and the designer slug (e.g. rick-owens).

Do I need a proxy? A US residential proxy is recommended and prefilled, since Grailed uses anti-bot protection; the actor ships with browser fingerprinting to handle it.

Do I need an API key? No. The scraper reads publicly available Grailed listing pages — no login or key required.

How fresh is the data? Real-time. Every run fetches live from Grailed, so prices and availability reflect the current site.

How many items can it return? Up to your maxItems cap (1–500); it scrolls search results to load more.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is scraping Grailed legal? It extracts publicly available listing data. Use it responsibly for research and resale, and follow applicable laws and Grailed's terms.

🔗 You might also like

• Vinted Scraper — secondhand fashion listings
• Mercari US Scraper — US resale marketplace
• eBay Scraper — eBay product & price data
• Kleinanzeigen Scraper — German marketplace listings

---

Keywords: Grailed scraper, Grailed API, luxury fashion resale data, streetwear scraper, designer menswear data, fashion arbitrage, resale price monitoring, secondhand fashion data, sneaker resale data, Grailed listings, deal scoring, fashion market research, resale marketplace scraper, hype clothing data.