Torfs Scraper

Scrape product data, prices, and availability from Torfs.be — Belgium's largest family shoe retailer. No cookies or login required.

Why use this actor?

Torfs is the #1 shoe retailer in Belgium, carrying Nike, Adidas, New Balance, Birkenstock, and hundreds of other brands. If you need shoe price comparisons, brand monitoring, sneaker availability tracking, or product feeds for the Belgian footwear market, this actor delivers structured data from every product listing.

Features

• Three scraping modes — search by keyword, browse by category, or scrape all main shoe categories automatically
• Bilingual — supports both Dutch (nl) and French (fr) versions of the site
• Rich product data — names, brands, prices, sale prices, product IDs, images, and category paths
• Detail page enrichment — when visiting product pages, adds SKU, EAN, stock status, ratings, and descriptions via JSON-LD
• Smart price detection — correctly identifies sale vs. original prices from Salesforce Commerce Cloud analytics data
• No cookies, no login required — works out of the box

Input

Field	Type	Required	Description
searchQuery	String	No	Search term (e.g. "Nike Air Max")
categoryUrl	String	No	Category path (e.g. /nl/dames/schoenen/sneakers/)
maxResults	Integer	No	Maximum products to return (default: 100)
language	String	No	nl (default) or fr
proxyConfiguration	Object	No	Proxy settings (recommended for large runs)

Without input, the scraper browses all main shoe categories: dames, heren, jongens, meisjes.

Output

Each result contains:

Field	Type	Example
name	String	"Nike Air Max 90 Sneakers Wit"
brand	String	"Nike"
price	Number	139.95
originalPrice	Number	149.95
currency	String	"EUR"
productId	String	"386501"
url	String	Full product URL
imageUrl	String	Product image URL
category	String	"Dames > Schoenen > Sneakers"
language	String	"nl"

Example output

{
    "name": "Nike Air Max 90 Sneakers Wit",
    "brand": "Nike",
    "price": 139.95,
    "originalPrice": 149.95,
    "currency": "EUR",
    "productId": "386501",
    "url": "https://www.torfs.be/nl/nike-air-max-90-sneakers-wit/386501.html",
    "imageUrl": "https://www.torfs.be/on/demandware.static/-/Sites-torfs-master-catalog/default/dw.../386501.jpg",
    "category": "Dames > Schoenen > Sneakers",
    "language": "nl",
    "scrapedAt": "2026-04-06T10:00:00.000Z"
}

Cost estimate

This actor uses approximately 1 compute unit per 1,000 products. Listing pages return 48 products each, so a full category scrape is very efficient. A complete run across all shoe categories costs roughly $0.50.

How it works

Torfs runs on Salesforce Commerce Cloud (SFCC). The scraper reads product tiles with embedded analytics meta tags for structured data, and uses SFCC's start/sz pagination parameters to navigate through results. Product detail pages are parsed via JSON-LD ProductGroup schema for additional fields like SKU, EAN, and ratings.

Limitations

• Listing pages provide core data (name, brand, price, image); visit detail pages for full data (SKU, EAN, stock, ratings)
• Sale price logic follows SFCC conventions: sale_price in analytics is the current price, price is the original
• Data is scraped from the public website and may change without notice