Grailed Scraper

Pull fashion listings from Grailed at scale — title, price, original price and price drops, designer, size, condition, seller, and full photo galleries across the entire menswear and womenswear catalog. Search by keyword or paste any Grailed shop, designer, or category URL, then optionally enrich every listing with its full description, all photos, and seller stats. Built for resellers, vintage and archive buyers, and fashion-market analysts who need live Grailed inventory and pricing data without browsing one card at a time.

Why This Scraper?

• Up to 1,000 listings per query — search Grailed's full live catalog by keyword (designer, item type, or style) and collect the maximum Grailed serves, with clean pagination and no duplicates.
• Five sort modes — relevance, most recent, price low-to-high, price high-to-low, and most popular, so you can surface fresh drops or hunt the cheapest grails in one pass.
• Price drop tracking on every row — each listing returns its current price plus the originalPrice it was first listed at, so markdowns are visible at a glance.
• Two departments, four condition grades — filter menswear or womenswear and multi-select across New, Gently used, Used, and Very worn condition buckets.
• Paste any Grailed URL — shop, search, /designers/<brand> designer pages, and category links all work; every filter baked into the URL (brand, price, department) is parsed and applied automatically.
• Full photo galleries on demand — turn on detail mode to pull every image per listing, typically 3 to 23 photos, instead of just the cover shot.
• Seller intelligence per listing — detail mode adds seller username, location, rating, and total live listing count, ready for sourcing and outreach.
• Designer and category breakdown — every row carries the primary designer, the full list of designer names on the listing, department, category, and subcategory for precise filtering downstream.

Use Cases

Resale Market Research

• Track how a designer's secondhand inventory and asking prices shift over time
• Map listing volume by department, category, and condition grade
• Benchmark a brand's resale activity against comparable labels
• Spot which item types are flooding or drying up on the marketplace

Price Benchmarking

• Build current price tables per designer, size, and condition
• Use originalPrice versus price to measure typical markdown depth
• Find undervalued listings by sorting price low-to-high within a brand
• Set buy/sell thresholds backed by live marketplace data

Designer & Brand Monitoring

• Watch a single label by pasting its /designers/<brand> page URL
• Alert on new listings of a specific designer or item type
• Compare condition mix and pricing across competing brands
• Track archive and grail pieces as they surface and sell

Sourcing & Inventory

• Surface the cheapest gently-used pieces in a target category
• Build a buy list filtered by price range, size, and condition
• Identify high-volume sellers worth reaching out to for bulk sourcing
• Pull full descriptions and photo galleries to vet items before buying

Trend Analysis

• Detect rising designers from spikes in listing counts
• Analyze which styles and categories gain popularity by sort-by-popular
• Quantify condition and price distributions across a department
• Feed marketplace signals into fashion forecasting models

Getting Started

Simple Keyword Search

The fastest way to start — one keyword, 100 listings:

{
    "searchQueries": ["rick owens ramones"],
    "maxResults": 100
}

Filtered Search

Cheapest gently-used menswear under $300, lowest price first:

{
    "searchQueries": ["jordan 1"],
    "department": "menswear",
    "condition": ["is_gently_used"],
    "maxPrice": 300,
    "sortBy": "price_asc",
    "maxResults": 200
}

URLs + Full Details

Monitor a designer page and a category URL, pulling every photo and seller stats per listing:

{
    "startUrls": [
        "https://www.grailed.com/designers/raf-simons",
        "https://www.grailed.com/shop/sweaters"
    ],
    "includeDetails": true,
    "sortBy": "newest",
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchQueries	string[]	["rick owens", "jordan 1"]	Keywords to search on Grailed — designer names, item types, or styles. Each query produces its own set of results.
startUrls	string[]	[]	Grailed shop, category, designer, or search-results URLs pasted straight from your browser. Any filters in the URL (department, brand, price) are applied automatically.

Filters

Parameter	Type	Default	Description
sortBy	select	Relevance	Order results: Relevance, Most Recent, Price: Low to High, Price: High to Low, or Most Popular.
department	select	All departments	Limit to Menswear or Womenswear, or include both.
condition	select[]	[]	Multi-select condition buckets: New / Never worn, Gently used, Used, Very worn. Leave empty for any condition.
minPrice	integer	null	Only include listings priced at or above this amount, in US dollars.
maxPrice	integer	null	Only include listings priced at or below this amount, in US dollars.

Results & Detail

Parameter	Type	Default	Description
maxResults	integer	100	Maximum listings per query or URL. Grailed serves up to 1,000 per search. Set to 0 to collect up to that limit.
includeDetails	boolean	false	Fetch each listing's full page to add the complete description, every photo, and extra seller details (location, rating, listing count). Richer data per listing.

Output

Every run returns one row per listing. Core fields are always present; the detail fields fill in when includeDetails is on.

{
    "listingId": "12345678",
    "title": "Rick Owens Ramones Leather High-Top Sneakers",
    "url": "https://www.grailed.com/listings/12345678",
    "price": 420,
    "originalPrice": 650,
    "currency": "USD",
    "designer": "Rick Owens",
    "designerNames": ["Rick Owens"],
    "department": "menswear",
    "category": "footwear",
    "subcategory": "Hi-Top Sneakers",
    "size": "US 10",
    "condition": "is_gently_used",
    "isSold": false,
    "imageUrl": "https://media-assets.grailed.com/prd/listing/cover.jpg",
    "sellerUsername": "archivegrails",
    "searchQuery": "rick owens ramones",
    "scrapedAt": "2026-06-17T14:30:00+00:00",
    "description": "Worn a handful of times, no flaws. Comes with box and dust bag...",
    "photos": [
        "https://media-assets.grailed.com/prd/listing/1.jpg",
        "https://media-assets.grailed.com/prd/listing/2.jpg"
    ],
    "photoCount": 12,
    "sellerLocation": "Los Angeles, CA",
    "sellerRating": 4.9,
    "sellerListingCount": 87,
    "createdAt": "2026-05-30T09:12:00Z",
    "updatedAt": "2026-06-10T18:44:00Z"
}

Core Fields

Field	Type	Description
listingId	string	Unique Grailed listing identifier
title	string	Listing title
url	string	Direct Grailed listing URL
designer	string	Primary designer / brand on the listing
designerNames	string[]	All designer names attached to the listing
department	string	menswear or womenswear
category	string	Top-level category (e.g. footwear, tops)
subcategory	string	More specific category, e.g. lowtop_sneakers or short_sleeve_shirts on search rows; upgraded to a clean label (e.g. Low-Top Sneakers) when full details are enabled
size	string	Listed size
condition	string	Condition bucket: is_new, is_gently_used, is_used, is_very_worn
isSold	boolean	Whether the listing is marked sold
imageUrl	string	Cover photo URL
searchQuery	string	The query or URL label that produced this row
scrapedAt	string	ISO timestamp of data extraction

Pricing Fields

Field	Type	Description
price	number	Current asking price
originalPrice	number	First listed price before any drops (null when there were no drops)
currency	string	Price currency (USD)

Detail Fields

Populated only when includeDetails is on.

Field	Type	Description
description	string	Full listing description text
photos	string[]	Every photo URL for the listing
photoCount	number	Number of photos on the listing
createdAt	string	When the listing was first created
updatedAt	string	When the listing or its price was last updated

Seller Fields

Field	Type	Description
sellerUsername	string	Seller's Grailed username (always present)
sellerLocation	string	Seller location (detail mode)
sellerRating	number	Average seller rating, when the seller has reviews (detail mode)
sellerListingCount	number	Seller's total live listing count (detail mode)

Tips for Best Results

• Start small to test. Set maxResults to 50 on your first run to confirm the data matches your needs, then scale up to the 1,000-listing ceiling.
• Monitor one label with a designer URL. Paste a /designers/<brand> page into startUrls to track a single designer's entire live inventory — cleaner than guessing keyword spellings.
• Hunt grails with price_desc. Sort price high-to-low to surface archive and statement pieces first; flip to price_asc to find the cheapest listings in a category.
• Turn on includeDetails for galleries and seller stats. Leave it off for fast price-and-size sweeps; switch it on when you need full descriptions, every photo, and seller location, rating, and listing count.
• Read originalPrice for markdown depth. Comparing it against price tells you which listings have been discounted and by how much — ideal for spotting motivated sellers.
• Combine keywords and URLs in one run. Mix several searchQueries with pasted Grailed URLs; each is collected independently and tagged by searchQuery so you can split them downstream.
• Stack filters to cut noise. Pair a department, condition set, and price range to keep a broad keyword focused on exactly the inventory you care about.

Pricing

From $3.00 per 1,000 results — flat pay-per-result pricing, with every listing row counting the same whether or not detail enrichment is on. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.36	$0.34	$0.32	$0.30
1,000	$3.60	$3.40	$3.20	$3.00
10,000	$36.00	$34.00	$32.00	$30.00
100,000	$360.00	$340.00	$320.00	$300.00

No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. A "result" is any listing row in the output dataset.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate fashion-market research, price benchmarking, and sourcing. Users are responsible for complying with applicable laws and Grailed's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose, and respect sellers' personal information when handling listing and seller data.