Depop Listings Scraper

What does it do?

Depop Listings Scraper extracts product listings from Depop, the popular Gen Z marketplace for vintage and secondhand fashion. It searches by keyword and collects listing details including titles, prices, descriptions, likes, seller information, brand names, conditions, and product photos. The scraper handles pagination automatically.

Why use this scraper?

Depop has over 30 million users worldwide and is a leading platform for vintage fashion, streetwear, and unique clothing. This scraper enables fashion resellers, market researchers, and trend analysts to collect structured data at scale. Track vintage fashion pricing, monitor trending styles, identify popular sellers, or analyze demand for specific brands and aesthetics like Y2K, cottagecore, or vintage workwear.

How to use

1. Navigate to the Depop Listings Scraper on Apify.
2. Enter your search keywords in the input configuration.
3. Set the maximum number of listings per keyword.
4. Click "Start" to begin scraping.
5. Download results in JSON, CSV, or Excel format.

Integrate with your workflows using the Apify API for scheduled runs and automated data pipelines.

Input configuration

Parameter	Type	Description
keywords	Array	Search terms to search on Depop (default: vintage denim, y2k)
maxListings	Integer	Maximum listings per keyword (default: 200)
proxyConfig	Object	Proxy settings for the scraper

Output data

The scraper outputs a dataset with the following fields:

{
  "title": "Vintage Levi's 501 High Waist Jeans",
  "price": "$65.00",
  "description": "Original vintage Levi's 501 in excellent condition...",
  "likes": 42,
  "seller": "vintagefinds_nyc",
  "brand": "Levi's",
  "condition": "Good",
  "image": "https://media-photos.depop.com/...",
  "url": "https://www.depop.com/products/vintage-levis-501/",
  "keyword": "vintage denim",
  "scrapedAt": "2026-02-19T10:00:00.000Z"
}

Cost of usage

This scraper uses Cheerio for fast, lightweight crawling. Approximate cost is $0.75 per 1,000 listings with Apify proxy. Actual costs depend on the number of keywords, pagination depth, and proxy usage. The lightweight architecture keeps costs very low compared to browser-based alternatives.

Tips

• Use trend-specific keywords like "y2k", "cottagecore", or "streetwear" for targeted results.
• Track the likes count to gauge demand and popularity for different styles.
• Schedule regular runs to monitor pricing trends in the vintage fashion market.
• Combine multiple keywords in a single run for comprehensive market coverage.
• Export data to spreadsheets for price comparison and trend analysis.
• Use seller information to identify top performers and popular shops.
• Compare prices across platforms like Poshmark and Mercari for arbitrage opportunities.

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Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.