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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.

Stats from ShopAPIS market research, June 2026 (@plans/plan2-research/reports/oceania-and-global.md); source: Etsy 8-K Q3 2025 (SEC), GuruFocus 2025.

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