Depop product data API
The ShopAPIS Depop product data API returns structured fields for any Depop listing — brand, size, condition, rich style tags, price and currency, seller and seller rating, category and sold status — as clean JSON. Depop is a Gen-Z C2C resale marketplace where listings are tag-driven (y2k, vintage, streetwear, grunge), so its data goldmine is the brand + size + condition + style-tag combination. ShopAPIS parses that attribute set and normalizes it into one schema.
Depop is a fast-growing secondhand-fashion platform with $292M GMS in Q3 2025 ($1.1B annualized — ShopAPIS research, June 2026; traffic per Similarweb ). Owned by Etsy and being acquired by eBay for roughly $1.2B, it specializes in vintage, streetwear and Y2K fashion sold by individual sellers. Its defining feature versus Poshmark is its dense, trend-driven style tagging — a strong signal for what’s culturally rising.
Why Depop data is hard to get
Depop has no official public API, so its brand/size/condition and style-tag data must be parsed from the live app and web surface. Listings are seller-entered and unstructured, condition is informal, and style tags — the platform’s richest trend signal — are free-form and inconsistent. Its mobile-first, feed-driven architecture and moderate anti-bot pressure add friction, and ownership is in flux (Etsy → eBay). ShopAPIS normalizes condition, structures the tags, and resolves sold status into the unified schema.
Data fields returned
- Identifiers — listing ID, listing URL, brand, category.
- Resale attributes — brand, size, condition (brand-new / like-new / used / worn), color.
- Style tags — free-form trend tags (vintage, y2k, streetwear, grunge, cottagecore).
- Pricing — price, currency, original price (where given), accepts-offers flag.
- Status — available vs. sold, date listed.
- Seller — username, seller rating, reviews count, followers, ships-from country.
- Engagement — likes count (social demand signal).
- Media & category — photo set, category path.
Sample response
{
"platform": "depop",
"listing_id": "a1b2c3d4e5",
"title": "Vintage Carhartt Detroit Jacket Brown",
"brand": "Carhartt",
"size": "L",
"condition": "used",
"color": "Brown",
"style_tags": ["vintage", "workwear", "y2k", "streetwear"],
"price": { "amount": 95.00, "currency": "GBP", "accepts_offers": true },
"status": "available",
"seller": { "username": "thriftdrop_uk", "rating": 4.9, "reviews": 612, "followers": 8300, "ships_from": "GB" },
"engagement": { "likes": 154 },
"images": ["https://media-photos.depop.com/abc.jpg"],
"category_path": ["Menswear", "Jackets", "Other Jackets"],
"scraped_at": "2026-06-05T11:42:00Z"
}Markets & domains covered
- United Kingdom — depop.com (GBP), Depop’s home market.
- United States — depop.com (USD), its largest growth market.
- Global — additional EU and rest-of-world sellers with localized currency.
ShopAPIS returns listings, pricing and currency per the seller’s market.
Use cases
- Trend & tag mining — style tags surface culturally rising categories before they peak. Feeds competitive intelligence.
- Resale price benchmarking — brand + condition comps set fair value. See price monitoring.
- Catalog enrichment — map brand/size/condition and tags into your data with catalog enrichment.
- Demand sensing — likes approximate listing interest; pair with inventory tracking.
Depop’s style tags are its richest signal but are free-form and noisy. ShopAPIS structures them so you can track which trends (y2k, gorpcore, cottagecore) are accelerating across thousands of listings.
Related
Stats from ShopAPIS market research, June 2026 (
@plans/plan2-research/reports/oceania-and-global.md); source: Etsy 8-K Q3 2025 (SEC), GuruFocus 2025.