Depop Scraper – Resale Listings, Prices & Sellers

Type a keyword → get hundreds to thousands of real Depop listings with price, sold-status, condition, size, brand, likes + exact demand counts and seller stats.

⚡ No proxies. No browser. No setup.

Most Depop scrapers run a stealth headless browser (Camoufox / Playwright / Puppeteer) and make you bring and configure residential proxies — slow, expensive, fragile, and fiddly to set up. This one doesn't. Just type a keyword and run:

	This actor	Typical Depop scrapers
Proxy setup	✅ None — works out of the box	❌ You must supply & configure proxies
Engine	✅ Lightweight (no browser)	❌ Headless browser (Camoufox/Playwright)
Speed	✅ Hundreds of listings in seconds	❌ Browser pages load one at a time
Cost per run	✅ Low (no browser CPU/RAM)	❌ High (heavy browser containers)
Demand data	✅ Exact live market counts	❌ Listings only
Seller stats	✅ Followers / rating / items sold	❌ Rarely included
Reliability	✅ No captchas, no browser flakiness	❌ Breaks when the page UI changes

Bottom line: more data, faster and cheaper, with zero configuration — captured live from Depop, never estimated.

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🛍️ What you get per listing

Field	Example
price / original_price / discount_pct	50.00 / 170.00 / 71
brand	Carhartt
condition	used_excellent
sizes	["L"]
colours	["navy","blue"]
like_count	277 ← per-listing demand signal
status	ONSALE / SOLD
seller + url	@mila_mae · link
category / department / location	Outerwear / Menswear / Lake Stevens, US
photo	image thumbnail

Optional seller enrichment adds seller_followers, seller_rating, seller_reviews, seller_items_sold, seller_verified to every listing — and a dedicated Sellers tab.

Plus a per-keyword run summary (Key-Value store → SUMMARY): live demand total, department split, price min/median/max, % reduced, and top brands.

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🎯 Best features

• Zero proxy setup — it just works. No residential proxy account, no config.
• Live demand counts — the exact number of listings for your keyword, split by department. Real market size, not a guess.
• Per-listing likes — the clearest demand signal Depop exposes. Sort by it to see what's actually selling.
• Seller intelligence — followers, rating, reviews and items-sold for the sellers behind every listing.
• Depth is a dial — Light pulls a fast few-hundred sample; Deep pulls a few thousand. You choose coverage vs. speed.
• Captured live — every field is read from Depop at run time, never modelled.

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Input

Field	Type	Default	Description
searchTerms	array	—	Keywords to harvest, e.g. "carhartt jacket", "y2k baby tee".
depth	select	light	light ≈ a few hundred listings · deep ≈ a few thousand.
maxItemsPerTerm	integer	500	Cap on listings kept per keyword.
enrichSellers	boolean	false	Add seller followers / rating / items-sold (Sellers tab).
country	string	us	Market for demand counts & pricing (ISO-2).
startUrls	array	—	Depop search URLs (harvested like keywords) or shop URLs.
shopNames	array	—	Seller handles, e.g. "shadyvtg" — pulls their stats directly.

Minimal — just type a keyword:

{
  "searchTerms": ["carhartt jacket"]
}

Full example:

{
  "searchTerms": ["carhartt jacket", "y2k baby tee"],
  "depth": "light",
  "maxItemsPerTerm": 500,
  "enrichSellers": true,
  "country": "us"
}

Coverage depth

Depth	Listings / keyword
Light	a few hundred
Deep	a few thousand

For niche keywords, Deep approaches full-market coverage. For huge keywords it returns a deep, deduped, representative sample.

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Output

Results land in two dataset views — 🛍️ Listings and 🏪 Sellers — plus a per-keyword run summary in the Key-Value store. Every record is clean JSON, ready for the API, MCP, or any downstream tool.

🛍️ A listing (keyword / search-URL run)

Every listing is a complete record — here's one in full (enrichSellers on adds the seller_* fields):

{
  "id": 774289895,
  "url": "https://www.depop.com/products/chow_picky-vintage-carhartt-jacket-very-high-8a0b/",
  "photo": "https://media-photos.depop.com/b1/452092653/3909731495_…/P0.jpg",
  "brand": "Carhartt",
  "price": 50.0,
  "original_price": 170.0,
  "currency": "USD",
  "is_reduced": true,
  "discount_pct": 71,
  "status": "ONSALE",
  "condition": "used_good",
  "sizes": ["M"],
  "colours": ["navy", "blue"],
  "like_count": 61,
  "category": "Outerwear",
  "department": "Menswear",
  "product_type": "jackets",
  "description": "Vintage carhartt jacket very high quality and nice fade #90s #sick #workwear",
  "location": "Lake Stevens, United States",
  "country": "US",
  "username": "chow_picky",
  "search_term": "carhartt jacket",
  "seller": "chow_picks",
  "seller_followers": 27,
  "seller_rating": 5.0,
  "seller_reviews": 4,
  "seller_items_sold": 26,
  "seller_verified": false
}

🏪 A seller (shop-URL / shopNames run)

{
  "record_type": "seller",
  "seller": "shadyvtg",
  "seller_followers": 3053,
  "seller_rating": 3.95,
  "seller_reviews": 1674,
  "seller_items_sold": 10073,
  "seller_verified": true,
  "seller_url": "https://www.depop.com/shadyvtg/"
}

📊 Run summary (Key-Value store → SUMMARY)

One entry per keyword — the market at a glance:

{
  "keyword": "carhartt jacket",
  "demand_total": 69514,
  "departments": { "menswear": 60362, "womenswear": 7604, "kidswear": 1442, "everything_else": 106 },
  "harvested": 500,
  "price_min": 8.0,
  "price_median": 62.0,
  "price_max": 480.0,
  "reduced_count": 168,
  "top_brands": { "Carhartt": 451, "Carhartt WIP": 15, "Dickies": 13, "Nike": 6 }
}

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Use cases

• Resellers & vintage dealers — price your inventory against the live market (median
  • distribution by condition and size); see which brands and styles get the most likes.
• Sourcing — find high-demand, under-supplied niches before you buy stock.
• Brands & brand protection — monitor the secondhand volume and pricing of your label, spot grey-market activity, and gauge brand health on the resale market.
• Market researchers & analysts — measure demand via listing volume + engagement, benchmark resale prices against retail, and build datasets for fashion/circular-economy research.
• Competitor analysis — see who the top sellers are for any keyword and how their catalogs are priced.

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Good to know — results mirror Depop's own search

Your results are exactly what Depop returns for that keyword — faithful and unfiltered. So you may see listings whose brand isn't the literal word you typed. That's expected and correct:

• Style & aesthetic keywords aren't brands — searching y2k, vintage, streetwear or cottagecore returns every brand tagged that way (American Vintage, Mossimo, Southpole…) plus lots of Other (unbranded thrift/vintage — which is most of that market). That spread is the real picture for a style search.
• Sub-brands & parent brands — e.g. searching jordan also returns Nike-branded listings, because Air Jordan is a Nike line and sellers tag it either way. Searching carhartt returns Carhartt WIP too.
• Keyword in the title — Depop matches your term against titles, tags and descriptions, so a listing that mentions your keyword can carry a different brand.

This is what you want for accurate market data — if we silently dropped those, your price and demand numbers would be wrong (often a large share of a model's market is tagged under the parent brand).

Want just one exact brand? Everything you need is already in the data — filter it in one click:

1. Open the Storage → Dataset tab (or export to CSV / Google Sheets).
2. Filter or sort by the brand column (e.g. keep only brand = "Jordan").
3. The top_brands block in the run summary shows the full brand breakdown so you know what's in there before you filter.

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FAQ

Is scraping Depop legal? This actor only collects public listing and shop data — pages anyone can view without logging in — and never bypasses access controls or touches private/account data. That's the lower-risk category, but you're responsible for using the data in line with Depop's Terms and any privacy rules (GDPR / CCPA) that apply to you.

Do I need a Depop login or account? No. Everything comes from public pages — no login, no cookies, no account.

How fresh is the data? Every field is read from Depop live at run time — never cached or estimated. Depop has no fixed refresh schedule, so you set the cadence: run it on the Apify scheduler (e.g. daily for price/inventory tracking, weekly for trends).

Can I get sold items and seller stats? Yes — to the extent Depop shows them publicly, which this actor reads directly. Each listing carries its status (ONSALE / SOLD), and seller enrichment pulls followers, rating, reviews and items-sold from public shop pages. Most tools can't reliably surface these — we read them straight off the page.

Which markets does it cover? Set the country input (ISO-2, e.g. us, gb, au) — demand counts and pricing reflect that market.

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Notes

• Public Depop data only — no login, no personal/private data, no account access.
• Junk/placeholder listings (e.g. "ISO" posts, sentinel prices) are filtered out.
• Prices are in the market's currency (set by country).