A BuiltWith scraper for full website tech profiles
Full tech-stack profile for any website.
The Kavex BuiltWith scraper builds a detailed technology profile for every website on your list. For each site it returns the detected frameworks, CMS, analytics and payment tech, the server and CDN behind it, the security-header posture, and DNS infrastructure facts. It is built for competitive research, lead qualification and partner discovery, knowing what a company runs tells you how to sell to them.
A RUN OF 1,000 SITES ON THIS SOURCE, AT 2 PER SITE
Say what you want. Read the price first.
Everything else is a ceiling or a filter. The estimate moves with the numbers you type, so the run never surprises you at the end.
Give it a list of websites and each one comes back as a single profile row.
The profile covers four layers. Application: detected frameworks, CMS, analytics, marketing, e-commerce and payment technologies. Infrastructure: the HTTP server, the CDN or edge provider, and the X-Powered-By stack. Security: whether HSTS and a Content-Security-Policy are present and the X-Frame-Options setting. Network: the hosting IP addresses, nameservers and mail provider from DNS.
Together that is enough to qualify a lead, a Shopify store versus a custom build, a site on Cloudflare versus bare hosting, without opening a single page by hand.
Charged per delivered row. If the source holds fewer than you asked for, the rest of the credits go back to your balance the second the run ends.
One thousand sites, itemised.
The base run, then every add-on as its own line. Nothing is bundled, so you can read the bill from top to bottom.
| Line | Rate | Units | Credits |
|---|---|---|---|
| BuiltWith | 2 / site | 1,000 sites | 2,000 |
| +Domain information | 1 / domain | 1,000 domains | 1,000 |
| 1,000 enriched sites | 3 / site | 3,000 credits | $3.00 |
$0.003 PER FINISHED SITE · AN ADD-ON IS BILLED ON THE ROWS IT ACTUALLY ENRICHED, SO A REAL BILL LANDS UNDER THIS
What people point it at.
Four ways this source is used today. Every one of them is the same run, the same export and the same credit pool.
- Sales qualification, filter a prospect list by the platform they run before you pitch an integration.
- Competitive research, map which technologies a set of competitors depend on.
- Agency prospecting, find sites on outdated stacks that are ready for a rebuild.
The rest of the web, contact & ai stack.
Same credit pool, same export. Chain the output of one run into the next without paying for the list twice.
Asked before the first run.
Short answers, no accordion to click through. If something is still missing, the help pages go deeper.
How is this different from the Tech Stack Detector?
It shares the same detection engine but adds the server / CDN stack, security-header posture and DNS infrastructure, a fuller profile rather than just the application technologies.
What input does it take?
A plain list of website URLs or bare domains, one per line. Each returns one profile row.
Does it detect the CDN?
Yes, Cloudflare, CloudFront, Fastly, Akamai, Vercel, Netlify and others are identified from the response headers.