Depop Fashion Listings Scraper

Scrape Depop for fashion reselling listings with full details including prices, brands, sizes, conditions, seller information, and photos. Built for reselling research, pricing strategy, inventory sourcing, streetwear analysis, and vintage fashion trend tracking.

What does this scraper do?

This actor searches Depop and extracts detailed information about fashion reselling listings including:

• Listing Details: Title, description, price, currency, discount information
• Product Info: Brand, size, color, category, condition (new with tags, like new, good, fair)
• Seller Data: Username, verified status, rating, number of reviews, profile URL, follower count
• Engagement: Number of likes, saves, and shares
• Media: All listing photos (multiple per listing), cover image URL
• Shipping: Shipping cost, free shipping flag, shipping method
• Metadata: Listing URL, posted date, availability status, country of origin

Why Depop?

Depop is the leading fashion marketplace for Gen Z and millennials, with over 30 million registered users. It specializes in:

• Streetwear: Nike Dunks, Jordan retros, Supreme, Stussy, Carhartt WIP
• Vintage Fashion: Y2K, 90s grunge, 80s retro, vintage band tees, thrift finds
• Handmade & Custom: One-of-a-kind pieces, custom dye, reworked vintage
• Designer Resale: Luxury goods at secondhand prices
• Sustainable Fashion: Pre-loved clothing reducing textile waste

Unlike Poshmark (US-focused, older demographic) or eBay (general marketplace), Depop is uniquely positioned in the youth fashion resale space with a strong international presence (UK, US, Australia, Italy).

Use Cases

Reselling Research & Inventory Sourcing

The primary use case for Depop data. Research what items sell well, discover trending styles, and identify profitable niches in the youth fashion resale market.

Example workflow:

1. Search for a trending item (e.g., "Nike Dunk Low")
2. Analyze pricing across sizes and conditions
3. Compare prices with retail to calculate profit margins
4. Identify which colorways and sizes have highest demand (most likes)
5. Source inventory from thrift stores, clearance sales, or wholesale
6. List competitively based on real market data

Popular sourcing categories on Depop:

• Vintage band tees ($5-15 at thrift, sell for $30-80+)
• Nike/Jordan sneakers (retail arbitrage, limited releases)
• Y2K fashion (low-rise jeans, butterfly clips, mini bags)
• Carhartt workwear (trending with Gen Z streetwear)
• Vintage Levi's (501s, 550s — strong resale premiums)

Pricing Strategy & Optimization

Set competitive prices for your Depop shop by analyzing current market data. Understand price distributions, find sweet spots, and optimize listings for faster sales.

Key metrics you can extract:

• Average listing price by brand, size, and condition
• Price ranges for specific items across the marketplace
• How likes correlate with price (demand signals)
• Price differences between new-with-tags and pre-owned
• Regional pricing differences (UK vs US vs AU)
• Free shipping impact on listing performance

Streetwear & Vintage Trend Analysis

Monitor fashion trends in real-time by tracking what is listed, liked, and sold on Depop. Identify emerging brands, popular styles, and seasonal patterns before they hit mainstream retail.

Trend indicators available:

• Listing volume spikes for specific items or styles
• Engagement rates (likes per listing) as popularity signals
• New listings velocity (newly listed sorting)
• Price appreciation for vintage and collectible items
• Emerging brand detection through listing frequency
• Cross-platform trend comparison (Depop vs Poshmark vs Grailed)

Current trending niches on Depop:

• Gorpcore (outdoor technical wear styled as fashion)
• Quiet luxury (understated designer pieces)
• Archive fashion (vintage designer from specific eras)
• Upcycled/reworked vintage (custom dye, patchwork)
• Platform shoes and chunky sneakers
• Oversized blazers and tailored vintage

Competitive Intelligence for Sellers

If you sell on Depop, understand your competition. Analyze other sellers' shops, pricing strategies, listing quality, engagement metrics, and shipping policies to optimize your own approach.

Competitive analysis framework:

• Top sellers in your niche (by likes and reviews)
• Average response time and shipping speed
• Photo quality and styling trends
• Description length and keyword usage
• Bundle discount strategies
• Cross-listing behavior (Depop + Poshmark + Mercari)

Brand Monitoring & Market Intelligence

Brands can monitor Depop for resale pricing, counterfeit detection, and market positioning. Track how your products perform in the secondary market.

Brand monitoring use cases:

• Resale value tracking for new releases
• Counterfeit listing detection and reporting
• Market sizing for secondhand demand
• Pricing erosion analysis after product launches
• Influencer impact on resale prices
• Regional demand mapping

Academic & Market Research

Researchers studying the resale economy, sustainable fashion, Gen Z consumer behavior, circular commerce, or digital marketplace dynamics can collect structured data at scale.

Research applications:

• Sustainable fashion market sizing
• Gen Z purchasing behavior analysis
• Price elasticity in secondhand markets
• Brand loyalty in resale contexts
• Geographic variation in fashion preferences
• Impact of social media on resale pricing

Input Configuration

Parameter	Type	Default	Description
searchQuery	String	(required)	Search term for finding listings
maxResults	Integer	50	Maximum number of listings to scrape (0 = unlimited)
sortBy	Enum	relevance	Sort order: relevance, newly_listed, price_low, price_high
category	String	(empty)	Filter by category name
minPrice	Integer	(empty)	Minimum price filter
maxPrice	Integer	(empty)	Maximum price filter
proxyConfiguration	Object	Apify Residential	Proxy settings for requests

Sort Options

Value	Description
relevance	Best match for search query (default)
newly_listed	Newest listings first
price_low	Price: Low to High
price_high	Price: High to Low

Example Input

Basic Search

{
  "searchQuery": "vintage Nike",
  "maxResults": 100
}

Advanced Search with Filters

{
  "searchQuery": "Y2K dress",
  "maxResults": 200,
  "sortBy": "newly_listed",
  "category": "dresses",
  "minPrice": 10,
  "maxPrice": 80,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Sneaker Research

{
  "searchQuery": "Nike Dunk Low",
  "maxResults": 500,
  "sortBy": "price_low"
}

Streetwear Trends

{
  "searchQuery": "Carhartt WIP",
  "sortBy": "newly_listed",
  "maxResults": 200
}

Vintage Band Tees

{
  "searchQuery": "vintage band tee",
  "maxResults": 300,
  "sortBy": "relevance",
  "minPrice": 20,
  "maxPrice": 150
}

Budget Shopping

{
  "searchQuery": "summer dress",
  "maxResults": 100,
  "sortBy": "price_low",
  "maxPrice": 30
}

Output Example

Listing Data

{
  "title": "Vintage Nike ACG Fleece Jacket - Size L",
  "price": 65,
  "currency": "GBP",
  "description": "Vintage Nike ACG fleece in great condition. Super warm and perfect for layering. Size Large fits true to size. Small mark on the back pocket area, barely noticeable when worn. Happy to answer any questions!",
  "condition": "Good",
  "brand": "Nike",
  "size": "L",
  "color": "Green",
  "category": "Jackets",
  "subcategory": "Fleece",
  "likes": 142,
  "photos": [
    "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg",
    "https://media-photos.depop.com/b1/12345678/1234567891_abcdef.jpg",
    "https://media-photos.depop.com/b1/12345678/1234567892_abcdef.jpg",
    "https://media-photos.depop.com/b1/12345678/1234567893_abcdef.jpg"
  ],
  "coverImage": "https://media-photos.depop.com/b1/12345678/1234567890_abcdef.jpg",
  "sellerUsername": "vintagefinds_uk",
  "sellerVerified": true,
  "sellerRating": 4.8,
  "sellerReviews": 237,
  "sellerProfileUrl": "https://www.depop.com/vintagefinds_uk/",
  "shipping": {
    "cost": 3.99,
    "freeShipping": false,
    "method": "Royal Mail"
  },
  "url": "https://www.depop.com/products/vintagefinds_uk-vintage-nike-acg-fleece-jacket/",
  "listingId": "abc123def456",
  "postedAt": "2026-02-20T14:30:00.000Z",
  "country": "GB",
  "available": true,
  "scrapedAt": "2026-03-02T12:00:00.000Z"
}

Integrations

This actor can be connected with various tools and platforms:

• Google Sheets: Export listings directly to a spreadsheet for analysis and tracking
• Slack/Discord: Get notifications when scraping completes or specific items are found
• Zapier/Make: Trigger workflows based on price drops or new listings
• Webhooks: Send results to your own API endpoint for custom processing
• Apify Datasets: Store results in Apify cloud for later retrieval via API
• Google BigQuery: Load data for large-scale fashion market analysis
• Airtable: Build a visual database of sourcing opportunities

Proxy Configuration

Depop may rate-limit or block automated requests. For best results:

• Recommended: Use Apify's residential proxies (RESIDENTIAL group)
• Alternative: Datacenter proxies may work for small volumes (<50 listings)
• Custom: You can provide your own proxy URLs

Rate Limiting & Performance

• The scraper automatically handles rate limiting and retries
• Typical speed: 15-40 listings per minute (depending on detail level and proxy quality)
• Search results are paginated (24 listings per page on Depop)
• Individual listing pages are fetched for full details when available
• Failed requests are retried up to 5 times with exponential backoff
• Random delays between requests to avoid detection
• Concurrent requests are limited to avoid triggering anti-bot measures
• Multiple extraction strategies ensure data collection even if page layout changes

Pricing

This actor uses Pay Per Event pricing:

Event	Price	Description
listing-scraped	$0.003	Charged per listing scraped with full details

Cost examples:

• 50 listings: $0.15
• 500 listings: $1.50
• 5,000 listings: $15.00

Tips & Best Practices

1. Start small: Test with 10-20 results before running large scrapes
2. Use specific queries: "Nike Dunk Low panda size 9" gets better results than just "Nike shoes"
3. Combine filters: Use category + price range for highly targeted results
4. Use sorting strategically: "Newly Listed" for fresh inventory, "Price Low" for deals
5. Schedule regular runs: Monitor prices and availability over time with Apify scheduling
6. Export to Sheets: Use the Google Sheets integration for easy analysis and sharing
7. Watch engagement: Listings with high likes indicate strong demand and trending items
8. Cross-reference platforms: Compare Depop prices with Poshmark, Grailed, and eBay
9. Regional differences: Depop prices vary significantly between UK, US, and AU markets
10. Seasonal timing: Vintage and streetwear demand peaks around back-to-school and holidays
11. Track brands: Set up recurring scrapes for specific brands to spot trends early
12. Photo analysis: High-quality listing photos correlate with faster sales and higher prices

Limitations

• Depop may change their page structure or API, requiring scraper updates
• Some seller profile details may require visiting individual profile pages
• Sold listings are typically removed from search results
• Very broad searches (e.g., just "clothes") may return generic results
• Image URLs may expire after some time; download images if needed long-term
• Depop is primarily UK/US/AU focused; limited availability in other countries
• Private or blocked seller data cannot be accessed
• Real-time inventory changes may cause occasional stale results

Frequently Asked Questions

Can I scrape sold listings?

Depop removes sold listings from search results. This scraper focuses on active, available listings. For historical pricing data, run the scraper regularly and build a dataset over time.

How many listings can I scrape?

There is no hard limit from the scraper side. Set maxResults to 0 for unlimited results. However, very large scrapes (10,000+) will take longer and consume more compute resources and PPE charges.

Can I filter by location or country?

Depop shows results based on the marketplace (depop.com for US, UK site for UK). The scraper accesses the global marketplace. You can post-filter results by the country field in the output data.

How accurate is the pricing data?

Prices are extracted directly from listing pages and represent the current asking price. Actual sale prices may differ due to offers, bundles, or discounts. The data is as accurate as what is publicly displayed on Depop.

Can I use this for dropshipping?

This scraper is designed for market research and analysis. Using scraped data for automated purchasing or dropshipping may violate Depop's Terms of Service. Always ensure your use case complies with applicable terms and laws.

How often should I run the scraper?

For price monitoring: weekly. For trend analysis: daily. For one-time research: as needed. Use Apify scheduling to automate recurring runs. Depop's inventory turns over quickly, so more frequent runs capture more data.

What makes Depop different from other fashion marketplaces?

Depop skews younger (Gen Z), emphasizes streetwear and vintage, has a strong international presence (especially UK), and functions more like a social media app than a traditional marketplace. This makes it ideal for tracking youth fashion trends.

Changelog

v1.0.0 (2026-03-02)

• Initial release
• Search listings with full detail extraction
• Sort by relevance, newly listed, price low, price high
• Category and price range filtering
• Seller profile data extraction (verified status, rating, reviews)
• Photo URL extraction (all listing images)
• Shipping information extraction
• PPE pricing model at $0.003/listing
• 12 rotating user agents for stealth
• Multiple extraction strategies with fallbacks (DOM, NEXT_DATA, JSON-LD, meta tags)
• Proxy support with residential proxy recommendation
• Automatic retry with exponential backoff

Support

If you encounter issues or have feature requests, please open an issue on the actor's page or contact us at ricardo.yudi@gmail.com.

Legal Disclaimer

This actor is intended for legitimate business purposes such as market research, competitive analysis, pricing strategy, and inventory sourcing. Users are responsible for ensuring their use complies with Depop's Terms of Service, applicable laws, and regulations. The scraper only accesses publicly available information.