Tech Stack Detector: Wappalyzer & BuiltWith Alternative

Find out what any website is built with: CMS, ecommerce platform, analytics, tag managers, JavaScript frameworks, hosting, CDN, payment providers, A/B testing, ad tech and 7,600+ technologies, with versions when exposed. Paste a list of domains and get one clean row per site.

Why this one

• 💳 Simple pay-per-website pricing: no subscription, no API key, pay only for sites analysed
• 🧠 7,600+ technology fingerprints in 108 categories (CMS, Ecommerce, Analytics, CDN, PaaS, Payment processors, Tag managers…)
• 🏷️ Versions when the site exposes them (e.g. WordPress 7.2, styled-components 6.1)
• 🔗 Implied technologies: WordPress → PHP + MySQL, Next.js → React + Node.js
• 📋 Ready-made columns: cms, ecommerce, analytics, cdn, webServer, jsFrameworks, paas, tagManager, plus every technology grouped by category
• 🔍 Optional evidence for every detection (which header, script or meta tag matched)
• ⚡ Fast: plain HTTP, no browser, 20 sites in parallel; dead domains never stop the run

Use cases

• Sales prospecting: find every Shopify store or HubSpot user in a lead list
• Competitor research: see the analytics, A/B testing and personalisation tools rivals use
• Market sizing: technology share across thousands of domains
• Agencies & security: inventory client stacks and outdated versions

Input example

{
  "websites": ["allbirds.com", "vercel.com", "https://wordpress.org"],
  "minConfidence": 50,
  "includeEvidence": false
}

Output example

{
  "url": "allbirds.com",
  "finalUrl": "https://www.allbirds.com/",
  "domain": "allbirds.com",
  "statusCode": 200,
  "technologiesCount": 10,
  "technologyNames": ["Cloudflare", "Shopify", "Swiper", "HTTP/3", "Open Graph", "Apple Pay", "PayPal", "Priority Hints", "HSTS", "Google Tag Manager"],
  "cms": ["Shopify"],
  "ecommerce": ["Shopify"],
  "analytics": [],
  "cdn": ["Cloudflare"],
  "tagManager": ["Google Tag Manager"],
  "byCategory": { "Ecommerce": ["Shopify"], "Payment processors": ["Apple Pay", "PayPal"], "CDN": ["Cloudflare"] },
  "technologies": [{ "name": "Shopify", "version": null, "confidence": 100, "categories": ["Ecommerce"], "website": "https://shopify.com" }]
}

How it works & limits

It loads each homepage over HTTP and matches headers, cookies, script URLs, meta tags, HTML and DOM patterns against an open fingerprint database. Technologies that only reveal themselves through JavaScript executed in a browser may be missed. Sites behind aggressive bot protection return less data (blocked: true); enable a proxy for those.

Fingerprint data: projectdiscovery/wappalyzergo (MIT).