README.md

Website Technology Detector

Detect the full technology stack of any website. Scans 141+ technologies across 15 categories using multiple detection layers:

• HTTP Headers — Server software, CDN, caching, security headers
• HTML & JavaScript — CMS platforms, frameworks, analytics, tag managers
• DNS Records — Email providers, CDN, hosting infrastructure
• TLS Certificates — SSL providers, hosting details

Use Cases

• Competitive analysis — See what tech your competitors use
• Lead generation — Find companies using specific technologies
• Security audits — Identify outdated or vulnerable software
• Market research — Track technology adoption trends

Input

Field	Type	Description
urls	Array of strings	Website URLs to scan (required)

Example Input

{
    "urls": [
        "https://shopify.com",
        "https://wordpress.org",
        "https://github.com"
    ]
}

Output

Each URL produces a result object:

Field	Type	Description
url	string	The scanned URL
technologies	array	Detected technologies with name, categories, confidence, version, and detection method
scan_time_ms	number	Scan duration in milliseconds
layers_used	array	Detection layers used (http, html, dns, tls)
error	string/null	Error message if scan failed

Example Output

{
    "url": "https://shopify.com",
    "technologies": [
        {
            "name": "Shopify",
            "categories": ["CMS", "E-commerce"],
            "confidence": 0.4,
            "version": null,
            "detected_by": ["html"]
        },
        {
            "name": "Cloudflare",
            "categories": ["CDN", "Security"],
            "confidence": 0.3,
            "version": null,
            "detected_by": ["headers"]
        }
    ],
    "scan_time_ms": 664,
    "layers_used": ["http", "html", "dns", "tls"],
    "error": null
}

Technology Categories

Analytics, CDN, Cloud, CMS, CSS Framework, Database, DevOps, E-commerce, Email, Hosting, JavaScript Framework, Programming Language, Security, SSL, Web Server

Performance

• Scans up to 5 URLs concurrently
• Average scan time: ~500ms–2s per URL
• All 4 detection layers run in parallel

Pricing

Free tier available. See the pricing tab for details.