👗 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, like count, category breadcrumb, full description, and the product photo URL. This Actor walks Depop's search results page by infinite scroll, then visits each product detail page to collect the complete record, all with Cloudflare bypass handled automatically.

The Actor accepts a plain search keyword ("jacket", "levi's jeans", "vintage adidas") and an optional sort order, scrolls through search results until your maxItems cap is reached, then enriches every listing with its detail page. 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 scrolls through results until your maxItems cap is hit.
• 🔃 Supports four sort orders. Relevance (default), newly listed, price ascending, and price descending - matching the same filters the Depop UI exposes.
• 🏷️ Captures full listing detail. Each result is enriched with a second visit to the product page to pull title, condition, seller handle, likes, category breadcrumb, and full description.
• 📷 Returns the primary product photo. The main listing image URL is included in every record, ready for display or download.
• 🛡️ Bypasses Cloudflare automatically. Camoufox (real Firefox TLS fingerprint) combined with residential UK proxy handles the bot detection layer without any configuration.
• 📦 Flat, consistent output. All 12 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, seller), commerce (price, brand, size, condition), engagement (likes), taxonomy (category), and content (description, imageUrl) 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: brand, category, condition, description, imageUrl, likes, price, results, scrapedAt, seller, size, title, url. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 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. Pick a sort order if you want. Set maxItems.
4. ▶️ Click Start. The Actor scrolls 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.

⏱️ Total time: under 2 minutes to first record, roughly 10-15 enriched records per minute after that. A 100-listing pull typically completes in 8-12 minutes.

🔗 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.

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