Depop Scraper

Depop Scraper

Scrape Depop and collect data such as: product pricing, product description, images, ratings, seller location, and more.

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Web Scraper

Use Bright Data’s Data Collector,
or purchase a  Depop dataset

  • Scrape Depop to compare your prices and inventory
  • Identify Depop top sellers to stay ahead of the competition
  • Collect Depop data to track consumer sentiment
  • Optimize your pricing, supply chain, and marketing strategy.

Depop Scraper Overview

  • Data scraping with no infrastructure needed
  • Exclusive site unlocking technology
  • Adapts with time: when Depop changes its site structure Bright Data updates the code
  • Scale quickly – gather as much data as you need quickly and reliably
  • Bright Data is fully compliant with all relevant data protection legal requirements, including GDPR and CCPA.
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Depop category discovery

Sample Input
Country
United Kingdom
Category URL
https://www.depop.com/category/mens/shoes/casual-shoes/
Sample Output
                
                    {
    "product_id": 253792481,
    "slug": "retro_an-converse-tie-dye-green-trainers",
    "product_url": "https:\/\/www.depop.com\/products\/retro_an-converse-tie-dye-green-trainers\/",
    "price": {
        "value": 25,
        "symbol": "£",
        "code": "GBP"
    },
    "image_url": "https:\/\/pictures.depop.com\/b0\/6584961\/1069055713_a5e06530bd9c4d148a208a891a15c251\/P8.jpg",
    "Status": "ONSALE",
    "category_name": "Mens\/Shoes\/Casual shoes"
}                
              

How to take advantage of a Depop Scraper:

  • Price configuration and comparison for your menswear, womenswear, jewellry, and accessories
  • Extract products and pricing data by brand for Adidas, Zara, Levi’s, North Face, etc.
  • Capture all Depop products in a specific category like bottoms or swimwear
  • Anticipate new market trends, product categories, inventory changes and products to compete in
  • Monitor consumer demand and quickly identify products’ popularity among buyers
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How to develop a web scraper

STEP 1

Choose from ready-made code templates or start from scratch
Choose templates or start from scratch

STEP 2

Develop and customize your scraper using Bright Data’s ready-made scraping functions
Develop and customize your scraper

STEP 3

Choose when to get the data: In real-time or batches
Choose when to get the data

STEP 4

Choose the file format and where to send the data
Choose format and where to send the data

Want to learn more?

Talk to an expert to discuss your data collection needs and see our platform in action.

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