Website Tech Stack Scanner | Website Technology Detector

What does Website Tech Stack Scanner do?

It's a fast and powerful website technology detector that allows you to uncover over 7,000+ technologies used on any website: content management systems (CMS), e-commerce platforms, analytics and product tracking, advertising pixels, JavaScript frameworks, CDNs, cloud hosting, payment gateways, CRMs, and security headers. To get that data, just insert one or more website URLs and click the "Save & Start" button.

Unlike basic HTML header checkers, Website Tech Stack Scanner waits for Single Page Applications (React, Next.js, Vue) to hydrate and monitors live XHR/Fetch network traffic to detect hidden client-side trackers, tag managers, and customer data platforms. See more B2B Lead Enrichment Scrapers if you need to extract verified business emails, Meta Ads, or local business leads.

🛡️ Zero Proxy Configuration Required: Anti-blocking and regional routing are handled automatically out of the box — just paste your target URLs and click Start.

What technologies can you detect with Website Tech Stack Scanner?

Every scanned URL is mapped across 31 structured technology categories plus a unified all_technologies array:

🛒 E-Commerce, Payments & Booking — Storefronts (Shopify, WooCommerce, Magento, BigCommerce), payment gateways (Stripe, PayPal, Adyen, Square), shipping/logistics, and appointment booking (Calendly)
📈 Analytics, Tag Managers & CRO — Product analytics (Google Analytics, Mixpanel, Amplitude, Hotjar, Microsoft Clarity), tag managers (Google Tag Manager), A/B testing (AB Tasty, Adobe Target), and personalization
📣 Marketing, CRM & Customer Data — Marketing automation (HubSpot, Klaviyo, ActiveCampaign, Marketo), email/SMS, CRM (Salesforce, Pipedrive, Intercom), CDPs (Segment), and live chat widgets
🎯 Advertising, Pixels & Social Proof — Retargeting & ad pixels (Meta Pixel, LinkedIn Insight Tag, TikTok Pixel, Twitter Ads, Reddit Ads, DoubleClick), review widgets, and on-site search (Algolia, Elasticsearch)
📝 CMS, Website Builders & Localization — Content management systems (WordPress, Contentful, Drupal, Webflow, Wix, Squarespace), translation/localization (Weglot), and back-office tools
⚛️ Frontend Frameworks, UI & Media — JavaScript frameworks (React, Next.js, Vue.js, Nuxt.js, Angular), UI design systems (Tailwind CSS, Bootstrap, styled-components), and video players (Vimeo, YouTube, JW Player)
☁️ Cloud Hosting, CDN & Databases — Cloud infrastructure (AWS, Google Cloud, Vercel), CDNs (Cloudflare, Fastly, Akamai, Amazon CloudFront), databases (PostgreSQL, MongoDB, Redis), and DevOps/observability (Sentry, Datadog, New Relic)
🔒 Security, Privacy & Cookie Consent — Bot protection, SSL/security protocols (HSTS, reCAPTCHA, HTTP/3), and GDPR cookie consent platforms (OneTrust, Cookiebot, AccessiBe)

Why scan Website Tech Stacks?

💪 B2B lead generation and technographic prospecting (e.g., finding all stores running Shopify + Klaviyo)
🕵️ Competitive intelligence and monitoring when competitors adopt new analytics, ad pixels, or AI tools
✨ Enriching CRM company records in HubSpot, Salesforce, Clay, or Pipedrive with live technology signals
👍 Auditing client websites for tag management, cookie consent compliance, and modern framework adoption
📩 Building custom market-share datasets across SaaS, e-commerce, and cloud infrastructure providers

How do I use Website Tech Stack Scanner?

Website Tech Stack Scanner was designed to be easy to start with even if you've never extracted data from the web before. Here's how you can detect website technologies with this tool:

1. Create a free Apify account using your email.
2. Open Website Tech Stack Scanner.
3. Add one or more website URLs (homepages or specific subpages) to scan their technology footprint.
4. Click "Start" and wait for the technology scan to complete.
5. Download your data in JSON, XML, CSV, Excel, or HTML.

Input

The input for Website Tech Stack Scanner should be a list of website URLs (startUrls) such as https://vuejs.org/ or https://apify.com/. You can scan a single domain or batch-scan up to 100 websites per run.

Click on the input tab for an input example in JSON.

{
    "startUrls": [
        {
            "url": "https://apify.com/"
        }
    ]
}

🔗 startUrls — Paste one or more website URLs (supports both root domains like https://example.com/ and deep subpages like https://example.com/checkout)

Output sample

This scanner will deliver results in a dataset. You can choose in which format to download it: JSON, Excel, HTML, CSV, or XML. Here's an excerpt from the JSON dataset you'd get if you apply the input parameters above:

[
    {
        "url": "https://apify.com/",
        "scannedAt": "2026-10-19T08:20:14.289Z",
        "metadata": {
            "title": "Apify: Full-stack web scraping and data extraction platform",
            "description": "Cloud platform for web scraping, browser automation, AI agents, and data for AI. Use 7,000+ ready-made tools, code templates, or order a custom solution."
        },
        "error": null,
        "Analytics & Product Analytics": [
            "Microsoft Clarity",
            "Quora Pixel",
            "Linkedin Insight Tag",
            "Leadfeeder",
            "HubSpot Analytics",
            "Google Analytics"
        ],
        "Marketing Automation & Journeys": [
            "HubSpot"
        ],
        "Advertising, Pixels & Retargeting": [
            "Twitter Ads",
            "Reddit Ads",
            "Microsoft Advertising",
            "FirstPromoter",
            "DoubleClick Floodlight"
        ],
        "Tag Management & Event Tracking": [
            "Google Tag Manager"
        ],
        "Search, Recommendation & Discovery": [
            "Algolia"
        ],
        "Customer Relationship Management (CRM)": [
            "Intercom"
        ],
        "Customer Data Platforms (CDP) & Profiles": [
            "Segment"
        ],
        "Live Chat, Chatbots & Support": [
            "Intercom"
        ],
        "Website Builders & Page Builders": [
            "Next.js"
        ],
        "Web Frameworks & Frontend Libraries": [
            "React",
            "styled-components",
            "Next.js",
            "Goober",
            "Lodash"
        ],
        "Design Systems & UI Components": [
            "Bootstrap"
        ],
        "Hosting, Cloud & Infrastructure": [
            "Amazon Web Services"
        ],
        "CDN, Caching & Traffic Routing": [
            "Amazon S3",
            "Amazon CloudFront"
        ],
        "DevOps, CI/CD & Observability": [
            "Sentry",
            "Priority Hints"
        ],
        "Security, Bot Protection & WAF": [
            "HSTS"
        ],
        "Consent, Privacy & Cookie Management": [
            "OneTrust"
        ],
        "Email & SMS Marketing": [],
        "A/B Testing & Experimentation": [],
        "On-Site Personalization & CRO Widgets": [],
        "Reviews, UGC & Social Proof": [],
        "E-Commerce Platforms & Storefronts": [],
        "Payments, Billing & Subscriptions": [],
        "Shipping, Fulfilment & Logistics": [],
        "Booking & Appointment Systems": [],
        "Business & Back-Office Tools (Accounting, HR, etc)": [],
        "Content Management Systems (CMS)": [],
        "Media & Video": [],
        "Developer Tools, SDKs & Documentation": [],
        "Plugins & Miscellaneous": [
            "Webpack",
            "Open Graph",
            "Prism",
            "HTTP/3"
        ],
        "all_technologies": [
            "Sentry",
            "Algolia",
            "Bootstrap",
            "React",
            "Amazon Web Services",
            "styled-components",
            "Next.js",
            "Priority Hints",
            "Goober",
            "Segment",
            "Microsoft Clarity",
            "Lodash",
            "Intercom",
            "Twitter Ads",
            "Reddit Ads",
            "Quora Pixel",
            "OneTrust",
            "Microsoft Advertising",
            "Linkedin Insight Tag",
            "Leadfeeder",
            "HubSpot Analytics",
            "HubSpot",
            "HSTS",
            "Google Tag Manager",
            "Google Analytics",
            "FirstPromoter",
            "DoubleClick Floodlight",
            "Amazon S3",
            "Amazon CloudFront",
            "Webpack",
            "Open Graph",
            "Prism",
            "HTTP/3"
        ],
        "total_technologies": 33
    }
]

How much does it cost to scan Website Tech Stacks?

Website Tech Stack Scanner uses Pay-Per-Event (PPE) pricing with no Actor start fee. You are only charged per scanned URL delivered to your dataset, with automatic Apify Store discounts up to 30% off on higher subscription plans:

🆓 Free Plan ($5/mo free credit) — $0.10 per website ($1.00 per 10 sites · $10.00 per 100 sites · up to 50 websites free every month)
🥉 Starter / Bronze Plan — $0.09 per website ($0.90 per 10 sites · $9.00 per 100 sites · 10% discount)
🥈 Scale / Silver Plan — $0.08 per website ($0.80 per 10 sites · $8.00 per 100 sites · 20% discount)
🥇 Business / Gold+ Plan — $0.07 per website ($0.70 per 10 sites · $7.00 per 100 sites · 30% discount)

💡 Predictable, All-Inclusive Pay-Per-Event Pricing: There is a $0.00 run start fee and no separate proxy configuration required. You only pay the flat per-result rate above for data successfully delivered to your dataset — works out of the box on both Free and Paid Apify plans.

How many technologies can you detect with Website Tech Stack Scanner?

Website Tech Stack Scanner fingerprints over 7,000+ web technologies and typically detects between 15 and 60+ distinct technologies per domain depending on the site's complexity. However, you have to keep in mind that scanning live websites has several variables that may cause results to vary case by case:

• single-page applications and lazy-loaded widgets may only fire specific scripts on product or checkout subpages rather than the homepage
• server-side rendered backends that strip all client-side headers and DOM signatures only expose their public edge and CDN layers
• technologies loaded strictly behind authenticated login walls cannot be observed from a public URL scan

Therefore, if you want to inspect both marketing-site tools and checkout-flow gateways on an e-commerce store, we recommend including both the homepage URL and a product or checkout URL in your startUrls list.

Want to enrich leads with emails, ads, or Google Maps data?

You can combine Website Tech Stack Scanner with our other B2B lead generation and domain intelligence scrapers in the same workflow:

📧 Website Contact & Email Scraper — Extract verified business emails, phone numbers, and social media profiles from any company domain
📍 Google Maps Places Scraper — Scrape local business leads, website domains, phone numbers, ratings, and coordinates to feed into tech stack scans
📢 Facebook Ads Library Scraper — Spy on competitor Meta Ads, video creatives, landing page URLs, UTM parameters, and active ad reach
📄 Website to Clean Text & Markdown Crawler — Convert any company website into clean LLM-ready Markdown for AI sales research and RAG agents

Integrations and Website Tech Stack Scanner

Last but not least, Website Tech Stack Scanner can be connected with almost any cloud service, CRM, or B2B enrichment workflow thanks to integrations on the Apify platform. You can integrate with Clay, Make, Zapier, n8n, HubSpot, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more. Or you can use webhooks to carry out an action whenever an event occurs, e.g., automatically push newly detected tech stacks into Clay, HubSpot, or Slack whenever a scan finishes.

Using Website Tech Stack Scanner with the Apify API

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and connect via the Apify MCP Server (https://mcp.apify.com).

To access the API using Node.js, use the apify-client npm package. To access the API using Python, use the apify-client PyPI package.

Check out the Apify API reference docs for full details or click on the API tab for ready-to-run code examples.

Frequently asked questions about Website Tech Stack Scanner

🛡️ Do I need to configure proxies to scan websites?
No — everything works out of the box with zero setup. Regional routing, session management, and anti-blocking are handled automatically so you do not need to configure custom proxy settings.

🔍 Does it crawl the entire domain or scan the exact URL provided?
It scans the exact URL you provide in startUrls. Scanning the homepage uncovers global technologies (CMS, analytics, ad pixels, frameworks, CDN, chat widgets), and you can also pass specific subpages (such as /pricing or /checkout) to detect page-specific tools.

📊 Are all 31 technology categories included in every JSON record?
Yes. Every dataset item includes all 31 category keys (returning an array of matched technology names or null if none are present in that category), plus all_technologies and total_technologies for quick filtering in Excel, Clay, or SQL.

Is it legal to scan website technology stacks?

Our domain intelligence tools are ethical and do not extract any private user data. They only analyze publicly transmitted HTML, scripts, network requests, and HTTP headers sent to any standard web visitor. However, you should always comply with applicable laws and website terms when using extracted data.

If you're unsure about your specific use case, you can read the Apify blog post on the legality of web scraping and ethical scraping.

Your feedback

We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors — please open an Issue before posting a public review so we can diagnose and fix it for you.

🛠️ How to report — Use the Actor’s Issues tab in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
⏱️ Response time — We aim to reply within 24 hours on business days.
⭐ Reviews — Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first — we’ll work with you to resolve it before you leave a rating.