Depop Scraper

🛍️ The most comprehensive Depop scraper on Apify Store — extract product listings, prices, seller info, and photos from the world's leading Gen Z fashion resale marketplace.

🏆 Why This Actor?

Feature	This Actor	Other Scrapers
Price	$5/1K results	$3–5/1K
Anti-Bot Resilience	✅ Camoufox + residential rotation	❌ Often blocked
Data Fields	30+ fields	5–10 fields
Search Mode	✅ Keyword search	✅ Basic
Category Browse	✅ Full categories	❌ Not supported
Seller Shop Scraping	✅ Complete shops	❌ Not supported
Product Details	✅ Full descriptions	❌ Listings only
Seller Analytics	✅ Rating, sales, followers	❌ No seller data
Shipping Info	✅ Cost & free shipping	❌ Not included
Proxy Rotation	✅ Residential proxies	⚠️ Limited
Pagination	✅ Automatic	⚠️ Manual

✨ Key Features

• 🔍 Multi-Mode Scraping — Search by keyword, browse categories, scrape seller shops, or extract individual product pages
• 🛡️ Anti-Bot Resilience — Camoufox stealth browser with residential proxy rotation, retry logic, and graceful fail behavior under Cloudflare blocking
• 📊 30+ Data Fields — Product title, description, price, brand, size, condition, color, material, seller info, shipping, and more
• 👤 Rich Seller Data — Username, verification status, rating, sales count, followers, and profile URL
• 📸 All Product Photos — Extracts every product image URL at full resolution
• ⚡ Smart Pagination — Automatically handles infinite scroll and cursor-based pagination
• 💰 Price Tracking — Captures current price, original price, and currency for discount analysis
• 🔄 Sort Options — Relevance, newly listed, price ascending, or price descending

📥 Input Parameters

Parameter	Type	Default	Description
searchQueries	Array of strings	[]	Keywords to search (e.g., "vintage jacket", "nike dunks")
startUrls	Array of URLs	[]	Direct Depop URLs — search, product, seller, or category pages
maxItems	Integer	10	Maximum items to extract (0 = unlimited)
sort	Select	relevance	Sort order: relevance, newlyListed, priceAscending, priceDescending
scrapeProductDetails	Boolean	false	Visit each product page for full details (slower, more data)
proxyConfiguration	Object	Residential	Proxy settings — residential proxies recommended

Supported URL Types

URL Pattern	Example	What It Does
Search	https://www.depop.com/search/?q=vintage+jacket	Extracts search results
Category	https://www.depop.com/category/mens-jackets/	Browses entire category
Seller Shop	https://www.depop.com/username/	Scrapes all seller listings
Product Page	https://www.depop.com/products/slug-123456/	Extracts single product details

📤 Sample Output

{
  "itemId": "636586545",
  "title": "Vintage Levi's 501 Denim Jacket Medium Wash",
  "description": "Classic vintage Levi's 501 denim jacket in a beautiful medium wash. Size M, fits true to size. Minor distressing adds character. Excellent vintage condition.",
  "price": 45.00,
  "originalPrice": 65.00,
  "currency": "USD",
  "brand": "Levi's",
  "size": "M",
  "condition": "Good",
  "category": "Jackets",
  "color": "Blue",
  "material": "Denim",
  "photos": [
    "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg",
    "https://media-photos.depop.com/b1/12345678/1234567891_abcdef.jpg"
  ],
  "image": "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg",
  "likes": 42,
  "sellerUsername": "vintagefinds_nyc",
  "sellerId": "9876543",
  "sellerVerified": true,
  "sellerReviews": 856,
  "sellerRating": 4.9,
  "sellerSales": 1247,
  "sellerFollowers": 5200,
  "sellerProfileUrl": "https://www.depop.com/vintagefinds_nyc/",
  "shippingCost": 5.95,
  "freeShipping": false,
  "country": "US",
  "postedDate": "2025-03-15T14:30:00",
  "status": "active",
  "url": "https://www.depop.com/products/vintagefinds_nyc-vintage-levis-501-636586545/",
  "source": "api"
}

💡 Use Cases

• 🏪 Resale Market Research — Analyze trending items, average prices, and popular brands on Depop to inform your resale business strategy
• 📈 Price Monitoring — Track price changes across product categories to find the best deals or optimize your pricing
• 🔍 Competitor Analysis — Monitor competing sellers' inventory, pricing, and sales volume to stay ahead in the resale market
• 📊 Fashion Trend Analysis — Identify emerging fashion trends by analyzing what's selling, what's popular, and category growth patterns
• 🤖 Inventory Automation — Build automated feeds from Depop data to power your own resale tools, dashboards, or cross-listing platforms
• 📉 Discount Hunting — Find discounted items by comparing current vs. original prices across thousands of listings

📌 Production Run Guidance

Depop scraping uses a stealth browser and residential proxy path, so very small runs have poor unit economics. For production research jobs, use 75+ requested items where possible and keep scrapeProductDetails disabled unless you need full detail pages.

Recommended profitable input shape:

{
  "searchQueries": ["vintage nike", "carhartt", "y2k"],
  "maxItems": 75,
  "scrapeProductDetails": false
}

💲 Pricing

• $5 per 1,000 results — usage-based pricing for Depop resale data
• Residential proxy usage included in Apify platform costs
• No monthly fees — pay only for what you use

⚙️ Technical Details

• Anti-Bot: Camoufox stealth browser with residential proxy rotation and bounded retries (Depop may still block some runs)
• Extraction Strategy: 3-layer approach — API interception → JSON state → HTML fallback
• Pagination: Automatic offset-based + infinite scroll handling
• Rate Limiting: Built-in human-like delays and request throttling
• Proxy Support: Works with Apify residential proxies (recommended) or custom proxies

🔗 Related Actors

• Poshmark Scraper — Scrape Poshmark resale listings
• Vinted Scraper — Extract Vinted marketplace data across 13 countries
• Etsy Scraper — Scrape Etsy handmade & vintage marketplace
• Cars.com Scraper — Extract vehicle listings from Cars.com

📖 About Depop

Depop is the leading Gen Z fashion marketplace with 30M+ monthly users. Owned by Etsy since 2021, it's the go-to platform for buying and selling unique fashion, vintage clothing, and streetwear. This scraper lets you tap into Depop's massive product catalog programmatically.