👗 Depop Secondhand Fashion Scraper

🚀 Export Depop listings in seconds. Title, brand, price, size, condition, seller, likes, category, description, and product photo for any keyword search, ready to drop into your spreadsheet, BI tool, or resale pipeline.

Depop is one of the largest peer-to-peer fashion resale platforms, running millions of active listings across clothing, accessories, and vintage items from sellers worldwide. The structured data behind each listing is richer than the thumbnail grid you scroll: title, brand, size, condition grading, seller handle and reputation, like count, category, materials, colours, full description, and every product photo. This Actor reads Depop's own search and product endpoints, so each record arrives complete and typed rather than scraped off rendered HTML.

The Actor accepts a plain search keyword ("jacket", "levi's jeans", "vintage adidas") plus optional marketplace, price, condition, colour, department, and category filters, then pages through results until your maxItems cap is reached. Output is a clean, flat JSON schema whether you are building a resale price tracker, training a fashion AI, or monitoring competitors.

🎯 Target Audience	💡 Primary Use Cases
Resale entrepreneurs, vintage dealers, fashion analysts, brand protection teams, academic researchers, price intelligence platforms, second-hand aggregators	Competitive pricing, inventory sourcing, trend detection, brand monitoring, resale margin analysis, dataset enrichment for fashion apps, market research

📋 What the Depop Scraper does

• 🔍 Searches Depop by keyword. Pass any search term Depop's search bar accepts and the Actor pages through results until your maxItems cap is hit.
• 🌍 Covers 25 Depop marketplaces. Search the US, UK, Australia, Ireland, Canada, New Zealand, and 19 more, each with its own local currency.
• 🎚️ Filters the way Depop does. Price range, condition, colour, department, category group, product type, reduced-price-only, and price sort order.
• 🏷️ Captures full listing detail. Every result is enriched from the product endpoints for title, condition grading, seller handle, seller rating and items sold, materials, styles, and the complete photo set.
• 📷 Returns every product photo. The main image plus the full gallery, ready for display or download.
• 🛡️ Handles Depop's bot protection. A real Chrome TLS fingerprint over residential proxies, with automatic session rotation and retry, so an intermittent challenge costs one request instead of the run.
• 📦 Flat, consistent output. All 32 fields are present in every record. Missing values return as null, never as missing keys, so downstream tooling never has to guard.

Each record stands on its own with identification (url, title, productId), commerce (price, originalPrice, currency, brand, size, condition, shipping), seller reputation (seller, sellerRating, sellerReviews, sellerItemsSold), engagement (likes), taxonomy (category, categoryGroup, gender, colours, styles, materials), and content (description, images) fields. The output shape is identical whether you searched for streetwear or vintage furniture.

💡 Why it matters: Depop is the go-to resale destination for Gen Z fashion. The pricing signal sitting behind millions of listings is the closest public proxy for real secondhand market rates - and it includes condition grading, brand attribution, and seller reputation data you cannot get from a generic e-commerce feed.

📊 Data fields

Each record includes: imageUrl, title, url, productId, status, brand, price, currency, originalPrice, isDiscounted, size, condition, seller, sellerRating, sellerReviews, sellerItemsSold, likes, category, categoryGroup, gender, location, country, description, colours, styles, materials, images, shippingCost, hasFreeShipping, isBoosted, scrapedAt, error. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

A sample record from a live run:

{
  "imageUrl": "https://media-photos.depop.com/b1/38551702/4412499290_4a342f4d1a834527a28e1bc31ea3d400/P0.jpg",
  "title": "Gap Men's Blue Jacket",
  "url": "https://www.depop.com/products/kyzmiq-vintage-90s-gap-denim-trucker-4683/",
  "productId": 861009224,
  "status": "On sale",
  "brand": "Gap",
  "price": 34.99,
  "currency": "USD",
  "originalPrice": 34.99,
  "isDiscounted": false,
  "size": "XXL",
  "condition": "Good condition",
  "seller": "kylmiq",
  "sellerRating": 5,
  "sellerReviews": 686,
  "sellerItemsSold": 4028,
  "likes": 0,
  "category": "Jackets",
  "categoryGroup": "Coats and jackets",
  "gender": "male",
  "location": "Springdale, United States",
  "country": "US",
  "colours": ["Blue"],
  "styles": ["Streetwear", "Retro", "Casual"],
  "hasFreeShipping": false
}

🚀 How to use

1. ✅ Sign up for a free Apify account. Use this referral link to get started. Free accounts can preview 10 records per run.
2. 👗 Open the Depop Scraper. Find it on your dashboard or in the Apify Store.
3. 🛠️ Enter your search term. Type any keyword Depop's search bar accepts. Choose a marketplace, sort order, and any filters you want. Set maxItems.
4. ▶️ Click Start. The Actor pages through search results and enriches every listing. Records appear in the dataset tab as they land.
5. 📥 Download CSV, Excel, JSON, or XML. Or stream the dataset into Make, Zapier, Airbyte, or your own webhook.

🔗 Recommended Actors

• 🛍️ Bstock Scraper - wholesale and liquidation lots from B-Stock auctions, ideal for bulk resale sourcing alongside Depop pricing data.
• 💼 Upwork Scraper - freelance job listings from Upwork for market research on the creator economy intersecting with fashion resale.
• 🏠 Airbnb Scraper - short-term rental listings for the same cities your fashion sellers are based in.
• 🍽️ OpenTable Scraper - restaurant data for full lifestyle and consumer behavior datasets.
• 🗺️ Google Maps Scraper - local business listings to enrich seller location data with neighborhood context.

💡 Pro Tip: browse the complete ParseForge collection for more e-commerce, marketplace, and resale scrapers.

⚠️ Disclaimer: Independent tool, not affiliated with Depop or its parent company. Only publicly available listing data is collected. Users are responsible for compliance with applicable laws and Depop's terms of use.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.