Web Scraping API & AI Data Extraction

Send a JSON payload with the target URL. Scrapify executes the request with rotative modern browser headers, parses the DOM, extracts embedded Next.js state or JSON-LD, and responds with clean JSON.

cURL Example

curl -X POST https://scrapifyapp-milon.netlify.app/api/scrape \
  -H "Content-Type: application/json" \
  -d '{"url": "https://news.ycombinator.com", "mode": "category"}'

JavaScript (Fetch) Example

const response = await fetch('https://scrapifyapp-milon.netlify.app/api/scrape', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    url: 'https://www.amazon.com/dp/B08N5WRWNW',
    mode: 'ecommerce'
  })
});
const data = await response.json();
console.log(data);

Python Web Scraping Example

import requests

res = requests.post(
    'https://scrapifyapp-milon.netlify.app/api/scrape',
    json={'url': 'https://example.com/products', 'mode': 'category'}
)
data = res.json()
print(f"Extracted {len(data['data']['products'])} products!")