Shopbop Scraper

Shopbop is an online fashion retailer with a broad women's catalog (clothing, shoes, bags, and accessories) and strong merchandising. It provides search and category pages with facets and sorting, plus detailed product pages. Scraping often captures brand, style name, price, size/color options, availability, images, and material/fit details.

Introduction

The Shopbop scraper starts from category, search, or product URLs, navigates listing pages, opens product detail pages, and extracts structured product data such as product ID, SKU, title, brand, price, color/size options, stock status, images, and more.

Use Cases

• Market research: Track product pricing, assortment, and brand distribution for selected categories or keywords.
• Catalog monitoring: Watch changes in product details, availability, and pricing over time.
• Lead generation: Build structured product datasets for enrichment and outreach workflows.
• Analytics pipelines: Feed BI tools, dashboards, and internal warehousing.

Input

Provide the following fields:

• startUrls (array, required): Shopbop category, search, or product URLs.
• maxItems (integer, optional): Maximum number of products to extract per start URL.
• proxyConfiguration (object, optional): Apify proxy settings.

Notes:

• Crawling stops per source URL when maxItems is reached.

Input Examples

1) Start URLs

{
  "startUrls": [
    {
      "url": "https://www.shopbop.com/shoes/br/v=1/13438.htm?searchRedirect=true&redirectedSearchQuery=shoes"
    },
    {
      "url": "https://www.shopbop.com/products?query=veja"
    }
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Output

Each dataset item contains fields like:

{
  "sourceUrl": "https://www.shopbop.com/volley-veja/vp/v=1/1595753272.htm",
  "originalUrl": "https://www.shopbop.com/shoes/br/v=1/13438.htm?searchRedirect=true&redirectedSearchQuery=shoes",
  "productId": "1595753272",
  "sku": "VEJAA30781",
  "name": "Volley Sneakers",
  "brand": "Veja",
  "category": "FOOTWEAR",
  "productUrl": "https://www.shopbop.com/volley-veja/vp/v=1/1595753272.htm",
  "designerUrl": "https://www.shopbop.com/veja/br/v=1/57365.htm",
  "title": "Veja Volley Sneakers | Shopbop",
  "description": "Fast Free Shipping & Free Returns on Veja Volley Sneakers at Shopbop. Shop new arrivals from Veja at Shopbop.com",
  "currency": "USD",
  "priceText": "$155.00",
  "price": 155,
  "lowPriceText": "$155.00",
  "highPriceText": "$155.00",
  "onSale": false,
  "salePercentage": 0,
  "inStock": true,
  "reviewsCount": 0,
  "reviewsAverage": 0,
  "colors": [
    {
      "colorId": "2000453463",
      "name": "White Pierre Natural",
      "priceText": "$155.00",
      "onSale": false,
      "finalSale": false,
      "inStock": true
    }
  ],
  "sizes": ["35", "36", "37", "38", "39", "40", "41", "42"],
  "images": [
    "https://www.shopbop.com/prod/products/vejaa/vejaa30781275e7/vejaa30781275e7_1772132821773_2-0.jpg"
  ],
  "scrapedAt": "2026-03-03T00:00:00.000Z"
}

The scraper paginates through listing results and stops when maxItems is reached per start URL or when no more result items are found.

Why use the Shopbop Scraper?

• Focused: Built specifically for Shopbop listing/detail flows.
• Structured output: Ready-to-use JSON records for automation and analysis.
• Per-URL limits: maxItems is enforced per start URL.
• Flexible input: Supports category, search, and product URLs.
• Apify-native: Works with Apify datasets, request queue, and proxy config.

FAQ

• How many products can it extract?
  Controlled by maxItems per source URL.

• Do I need proxies?
  Not always, but proxies are recommended for larger runs and stability.

• Can I start from a product detail URL?
  Yes. Product detail URLs are supported.

• What if Shopbop changes their website structure?
  The actor may require updates to keep extraction stable.

Need to scrape other fashion platforms?

Check out our other scrapers:

• Otto.de.
• Bath & Body Works.
• Notino.

---

Need help or want a custom solution?

Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.

Contact us over Email or LinkedIn.

Support Our Work

If you're happy with our work and scrapers, you're welcome to leave us a company review here and leave a review for the scrapers you're subscribed to.

Image Credit

Image credit: shopbop.com.