Node.js is the JavaScript runtime used on servers for APIs, server-rendered sites and tooling. AIWebsiteDetector reports Node.js from `X-Powered-By` values such as Express, Koa, Hapi or Fastify, a Node Server header, and from a detected Express or NestJS application. A site that disables these headers, or a static export served from a CDN, shows no Node.js signal, so a missing result does not mean the site is not Node.js.
Detect Node.js Websites — Free Tool
Enter any URL to check if it was built with Node.js. Instant results, no account required.
How we detect Node.js — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
How to Detect Node.js Websites
HTTP Headers
2 patterns
1. Check the Page Source
Open the website in your browser, right-click, and select "View Page Source". Search for node.js-specific patterns in the HTML.
4. Use AI Website Detector (Easiest)
Our automated scanner checks all these signals at once and gives you an instant confidence score. Just enter any URL above.
Frequently Asked Questions
Is this website built with Node.js?
You can detect if any website was built with Node.js by using our free scanner above. Just enter the URL and we'll analyze HTML patterns, JavaScript files, CDN domains, and HTTP headers to determine if Node.js was used — with a confidence score.
How to detect if a website was built with Node.js?
There are several ways to detect Node.js: (1) View the page source and look for Node.js-specific class names or script URLs, (2) Check the Network tab in DevTools for requests to Node.js CDN domains, (3) Use our free tool — we check 2 detection signals automatically.
What websites are built with Node.js?
Node.js is used by thousands of websites worldwide. Our scanner has detected many Node.js-built sites across different industries. You can scan any URL to check if it uses Node.js.
How accurate is the Node.js detection?
Our Node.js detection engine checks 2 unique fingerprint signals, achieving high confidence results. We score each match and return a confidence percentage so you know how certain the detection is.
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Detection Info
- Category
- Backend Framework
- Signals Used
- 2 patterns
- Accuracy
- High
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