🔎 Website Tech Stack Detector — See What Any Website Is Built With

Detect the technologies, frameworks and tools behind any website — CMS, frontend and backend frameworks, analytics, marketing and CRM tools, payment processors, CDNs, hosting, chat widgets and more — as clean, structured data. It's pure HTTP analysis (no headless browser), so it runs fast, scales to thousands of domains, and doesn't get blocked. Feed it a list of URLs and get a categorized tech profile for every one. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🧩 What is the Website Tech Stack Detector?

It turns any list of website URLs into a structured technology report. For each site it fetches the page over HTTP, inspects the response headers, HTML, scripts, stylesheets and meta tags, and matches them against 100+ technology signatures across 15+ categories. You get a deduplicated list of detected technologies — each with a category and a confidence rating — so sales, marketing and research teams can profile prospects and competitors in bulk without manually viewing source on every page.

What data does it extract?

• Detected technologies — name, category and confidence (high/medium) for each
• Technology count and a categories summary (techs grouped by category)
• Server and X-Powered-By headers, plus the meta generator tag
• Page title and meta description
• SSL flag, HTTP status code and any redirect URL
• Version numbers for common frameworks (WordPress, jQuery, Bootstrap, React, Vue, Angular) where exposed
• Per-site timing (analysis_time_ms) and a success flag with structured error / error_type on failures

Across CMS & site builders (WordPress, Shopify, Wix, Squarespace, Webflow, Drupal, Ghost, Contentful, Strapi), frontend frameworks (React, Next.js, Vue, Nuxt, Angular, Svelte, Gatsby, jQuery), CSS frameworks, web servers & backends (Nginx, Apache, PHP, Express, ASP.NET, Rails, Django, Laravel), CDN & hosting (Cloudflare, Vercel, Netlify, Heroku, AWS, GCP, Azure, Fastly), analytics (Google Analytics, GTM, Hotjar, Mixpanel, Segment, Amplitude, Plausible, Matomo), marketing & CRM (HubSpot, Mailchimp, Klaviyo, Salesforce, Marketo), customer support (Intercom, Zendesk, Drift, Crisp, Tawk.to), e-commerce (WooCommerce, Magento, BigCommerce, PrestaShop), payments (Stripe, PayPal, Braintree, Square), security (reCAPTCHA, hCaptcha, Turnstile) and fonts.

⬇️ Input

Pass a list of URLs (with or without https://) and an optional cap:

Field	Description
urls	List of website URLs to analyze — https:// is optional (e.g. airbnb.com)
maxUrls	Maximum number of URLs to process (0 = unlimited)

Example input

{
  "urls": [
    "https://stripe.com",
    "https://vercel.com",
    "shopify.com",
    "notion.so"
  ],
  "maxUrls": 0
}

⬆️ Output

Each analyzed site is one clean record (view as a table, or export JSON / CSV / Excel):

{
  "url": "https://stripe.com",
  "domain": "stripe.com",
  "success": true,
  "technologies": [
    { "name": "Nginx", "category": "Web Server", "confidence": "high", "version": null },
    { "name": "React", "category": "Frontend Framework", "confidence": "high", "version": null },
    { "name": "Stripe", "category": "Payment", "confidence": "high", "version": null }
  ],
  "technology_count": 5,
  "categories": {
    "Web Server": ["Nginx"],
    "Frontend Framework": ["React"],
    "Payment": ["Stripe"],
    "Analytics": ["Google Tag Manager"]
  },
  "server": "nginx",
  "powered_by": null,
  "meta_generator": null,
  "title": "Stripe | Financial Infrastructure for the Internet",
  "description": "Stripe powers online and in-person payment processing...",
  "status_code": 200,
  "redirect_url": null,
  "ssl": true,
  "analyzed_at": "2026-06-26T15:30:00.000000",
  "analysis_time_ms": 450
}

💡 Use cases

• 🎯 Sales intelligence — technographic targeting: find companies running Shopify, HubSpot, Salesforce or any specific tool and tailor your outreach.
• 🥊 Competitive analysis: see exactly which CMS, frameworks, analytics and payment stack your competitors run.
• 📊 Market research: measure technology adoption across hundreds or thousands of domains to spot trends.
• 🛡️ Security & audit: flag outdated frameworks, exposed server headers and missing protections across your own properties.

❓ FAQ

How do I detect what technology a website uses? Paste one or more URLs into urls and run. For each site you get a categorized list of detected technologies (CMS, frameworks, analytics, payments and more), each with a confidence rating.

Which technologies can it detect? 100+ across 15+ categories — CMS and site builders, frontend and backend frameworks, CSS frameworks, web servers, CDN and hosting, analytics, marketing and CRM, customer support chat, e-commerce, payment processors, security and fonts.

Does it use a real browser? No. It uses fast HTTP analysis of headers, HTML, scripts, stylesheets and meta tags — so it's quick, cheap to run at scale and avoids the blocking issues headless browsers hit.

Can it find websites using a specific tool (e.g. Shopify or HubSpot)? Yes — run your list of domains, then filter the output by technology name or category to keep only the sites using the tool you care about.

How accurate is the detection? Each technology carries a confidence of high or medium based on how it was matched. Strong signatures (unique scripts, headers, CDN hosts) score high.

Do I need an API key or login? No. It reads publicly accessible pages — just supply the URLs.

Can it detect version numbers? For common frameworks (WordPress, jQuery, Bootstrap, React, Vue, Angular) it extracts a version when the page exposes one; otherwise version is null.

Why didn't it detect a technology I know is there? Some tools load only after JavaScript executes, or are proxied behind a CDN, so they leave no HTTP-level signature. Single-page apps may also hide indicators behind client-side rendering.

How many URLs can I analyze at once? As many as you like — set maxUrls to cap a run, or leave it at 0 for unlimited batch processing.

Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.

Is using this legal? It only reads publicly available page data. Use it responsibly for research, sales and audits, and follow applicable laws and each site's terms.

🔗 You might also like

• Website Tech Detector — alternative website technology detection
• Shopify Store Scraper — products & data from Shopify stores
• GitHub Intelligence Scraper — GitHub repo metrics & signals
• Domain Intelligence Scraper — domain & WHOIS intelligence

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