📊Data Extraction
Extract Data from Any Web Page
Data extraction used to mean XPath selectors, cheerio chains, and a silent prayer to the CSS gods. denkbot.dog takes a URL and gives you back all the data you probably need — organized, clean, and in JSON. The dog extracts. You integrate.
What you'd use this for
Automated data pipelines, competitive research, market analysis, content republishing, and any project that needs data from websites at scale.
How it works
example
import requests
r = requests.post(
'https://api.denkbot.dog/scrape',
headers={'Authorization': 'Bearer YOUR_API_KEY'},
json={'url': 'https://shop.example.com/product/123', 'format': 'json'}
)
data = r.json()
print(data['title'], data['metadata']['description'])Questions & Answers
Can I extract specific fields only?+
Not yet — we return the full structured response. CSS selector-based extraction is on the roadmap.
Does it work on e-commerce sites?+
Yes, including JavaScript-heavy ones with renderJs: true.
What about pagination?+
You'd need to call /scrape for each page URL. We don't auto-paginate.
Related topics
Web Scraping API for Developers
A simple, fast web scraping API. Send a URL, get back HTML, text, metadata, and links. No proxies, no headless browser setup, no headaches.
Convert HTML to Structured JSON
Send a URL, get structured JSON back. Title, description, metadata, links, headings, and plain text — all extracted automatically.
Web Scraping as a Service
Managed web scraping infrastructure. No proxies, no CAPTCHAs, no browser management. Just an API that works.
Extract Structured Data from Websites
Automatically extract titles, descriptions, metadata, links, and text from any web page. Returns clean JSON, not raw HTML soup.
Ready to start fetching?
€19/year. Unlimited requests. API key ready in 30 seconds.