🎯Industry Use Cases

Scrape E-Commerce Product Pages

Product pages. You need the data. Prices, descriptions, images, availability. denkbot.dog fetches the page — JS-rendered or static — and returns the HTML for you to extract whatever product fields you need. The dog retrieves the merchandise. You build the catalog.

What you'd use this for

Price comparison engines, product catalog enrichment, competitor analysis, marketplace aggregators, and supply chain intelligence tools.

How it works

example
const { html, title } = await fetch('https://api.denkbot.dog/scrape', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    url: 'https://shop.example.com/product/running-shoes',
    renderJs: true, // Most shops use JS for pricing
    waitFor: '.product-price',
  }),
}).then(r => r.json())

// Parse with your preferred HTML parser
const { load } = require('cheerio')
const $ = load(html)
const price = $('.product-price').text()
const images = $('img.product-image').map((_, el) => $(el).attr('src')).get()

Questions & Answers

Does it work with Shopify stores?+

Yes. Pass renderJs: true for dynamically priced items.

What about Amazon?+

Amazon has strong bot protection. Success is not guaranteed.

Can I extract structured product data automatically?+

Many product pages include JSON-LD schema markup. Check the HTML for <script type="application/ld+json">.

Ready to start fetching?

€19/year. Unlimited requests. API key ready in 30 seconds.