Depop Scraping

Yes. Unlike traditional ecommerce platforms, Depop's social-first model means like counts are a critical demand signal. We extract like counts, seller follower counts, and engagement velocity for every listing. A spike in likes on a specific brand or style category often precedes a sell-through surge, making this data a valuable leading indicator for trend forecasting and demand prediction.

We extract all seller-applied hashtags and Depop's structured category tags for every listing. This includes aesthetic categories like Y2K, cottagecore, dark academia, and streetwear, as well as brand tags and descriptive keywords. By tracking hashtag velocity — how quickly specific tags are being applied to new listings — we provide early signals on emerging style movements before they appear in mainstream fashion reporting.

Yes. You can configure monitoring for specific seller profiles to track their inventory, pricing strategies, listing frequency, follower growth, and review scores over time. We also track Depop's Top Seller badge status, which indicates high-performing sellers who meet specific metrics for response time, shipping speed, and customer satisfaction. Top Seller monitoring is particularly valuable for understanding successful resale strategies.

We capture both active and sold listing data on Depop. Sold listings provide the actual transaction price, time-to-sale duration, and buyer-seller geography — data points essential for calculating true resale values rather than relying on asking prices. Sold data is especially valuable for building brand-level resale value indexes and understanding which items and price points convert most efficiently.

Depop's unique value lies in its Gen Z demographic concentration — 90% of users are under 26 — and its social-first discovery model. While Poshmark skews older and more brand-focused, and Vinted dominates European secondhand basics, Depop is the leading indicator for youth fashion trends and emerging aesthetics. We extract data from all three platforms using consistent schemas, enabling direct cross-platform comparison of pricing, brand demand, and category strength.

Yes. Vintage and Y2K items are among Depop's strongest categories, and we track listing volume, pricing trends, and sell-through rates for these segments specifically. By monitoring hashtag adoption for tags like #y2k, #vintage90s, and #retro, combined with brand-level demand for era-specific labels, we provide granular data on how nostalgia-driven fashion trends evolve in the resale market and when they peak or decline.

Depop listings rely heavily on seller-written descriptions rather than structured product data, which creates extraction challenges. Our parsing engine normalizes brand names (catching misspellings like 'Addidas' or abbreviations like 'NB'), extracts size information from free-text descriptions, classifies condition from narrative language, and identifies key attributes like era, material, and style category. This normalization layer is critical for making Depop's unstructured data analytically useful.

Yes. By comparing Depop asking prices and sold prices against original retail prices, we calculate brand-level resale value indexes showing which brands hold value, which depreciate, and which generate resale premiums. Brands like Nike, Carhartt, and The North Face consistently command strong resale premiums on Depop, while fast fashion brands depreciate significantly. This data is valuable for brands measuring their long-term brand equity in the secondary market.

Depop was founded in 2011 by Simon Beckerman in London, originally as a social network that allowed users to sell items from an editorial magazine's content. The platform pivoted to become a mobile-first peer-to-peer marketplace combining Instagram-style browsing with buying and selling functionality. Depop grew rapidly among Gen Z users who were drawn to its visual, community-driven approach to fashion resale. Etsy acquired Depop in June 2021 for $1.6 billion, recognizing its unique position as the dominant marketplace for younger consumers interested in secondhand, vintage, and independent fashion.

Depop charges sellers a 10% fee on the total transaction price including shipping, plus payment processing fees of approximately 2.9% plus $0.30 per transaction. In 2022, Depop removed seller fees in the UK to compete with Vinted, which operates on a buyer-pays-fees model. This fee structure directly affects pricing strategy — sellers factor the 10% cut into their asking prices, and the fee differential between platforms influences where sellers choose to list. Understanding the fee impact is essential for accurate cross-platform price comparison.

Depop's Explore page uses an algorithm that surfaces listings based on a combination of recency, engagement (likes and saves), seller reputation, photo quality, and relevance to trending searches. Unlike traditional ecommerce search, Depop's discovery model is more similar to social media, where visually compelling listings with strong engagement signals receive disproportionate visibility. Our extraction captures the Explore page rankings, trending search terms, and featured seller spotlights to provide data on what the algorithm is currently prioritizing.

Depop's user base is uniquely concentrated in the under-26 demographic, with approximately 90% of active users belonging to Gen Z. This makes Depop the single most concentrated source of Gen Z commerce data available. The platform's users are disproportionately interested in sustainability, vintage fashion, streetwear, and independent design — values that increasingly drive mainstream fashion. For brands and researchers, Depop data serves as a proxy for understanding Gen Z purchasing behavior, brand preferences, and style sensibilities that will shape fashion retail for the next decade.

Traditional ecommerce is search-and-filter driven — buyers know what they want and search for it. Depop inverts this model with social-first discovery where users browse curated feeds, follow sellers like social media influencers, and discover items through aesthetic browsing rather than keyword search. Sellers build personal brands with cohesive visual identities, and buyer-seller communication through direct messaging is a core part of the transaction process. This social layer generates unique data signals — follower growth, like velocity, and feed engagement — that have no equivalent on conventional ecommerce platforms.

Depop's strongest categories are streetwear, vintage clothing (particularly 90s and Y2K era), sneakers, independent designer pieces, and upcycled fashion. Top-performing brands include Nike, Carhartt, The North Face, Levi's, Adidas, Dr. Martens, and Dickies — brands that combine streetwear credibility with secondhand durability. Luxury resale for brands like Vivienne Westwood and Burberry also performs well, particularly accessories and statement pieces. Notably, fast fashion brands like Zara and H&M have minimal resale value on Depop, while heritage sportswear and workwear brands command consistent premiums above retail.