Bulk Website Tech Stack Detector — CMS, E-commerce, Analytics, CDN & Framework Technographics

Detect the technology stack of thousands of websites at once. This website tech stack scraper takes a list of domains and returns, for each one, the CMS, e-commerce platform, JavaScript framework, analytics & marketing tools, payment providers, CDN, hosting and web server it detects — no login, no API keys, no coding. It is the fast, keyless way to scrape website technologies and build technographics at scale.

Export every result to JSON, CSV, Excel, or API.

Built for sales and growth teams building platform-targeted prospect lists, agencies prospecting by CMS or e-commerce platform, market analysts mapping technology share, competitive-intelligence researchers, and developers auditing what sites are built with.

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🔎 Why scrape website tech stacks?

Knowing what a website is built with is pure gold for sales, marketing and research. Technographics — the data that describes which CMS, e-commerce platform, analytics suite, marketing/chat tools, payment providers and CDN a site uses — lets you qualify leads, segment markets, and find exactly the right prospects. A site running Shopify is a different buyer than one on WooCommerce; a site using HubSpot and Segment is further along than one with no analytics at all.

The problem is that collecting this manually is slow and inspecting one site at a time with browser dev-tools does not scale. Dedicated technographics databases exist, but they are expensive, priced per lookup, and often stale. This tech stack detector solves that: paste a whole list of websites, and it checks each one on plain HTTP — so it stays cheap even across thousands or millions of domains — and returns a clean, de-duplicated row per site that you can filter, pivot and push into your CRM.

Because it reads each site's server-rendered HTML and response headers and matches them against a library of fingerprints, it is fast, lightweight and needs no browser, no account on any third-party service, and no API key.

Common reasons people scrape website tech stacks:

• Sales intelligence — filter prospects by platform (every WooCommerce store, every HubSpot user) and build a targeted outreach list.
• Lead scoring & CRM enrichment — attach tech signals (analytics, martech, payment) to each account to prioritize the best-fit leads.
• Agency prospecting — if you specialize in Shopify, Webflow or WordPress, find the sites that are (or are not) on your platform.
• Market & competitor research — map CMS, e-commerce and CDN share across an industry or a list of competitors.
• Partnership & integration targeting — find sites already running Stripe, Klaviyo, Intercom or Segment that fit your integration.
• Due diligence & audits — quickly profile the stack of a portfolio of sites or acquisition targets.
• Developer research — see how framework, CDN and hosting adoption trends across a cohort of sites.

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✨ What this website tech stack scraper does

• ✅ Bulk detection — paste or upload a list of URLs or bare domains and get one result row per site; handles a handful up to millions of websites in a single run.
• ✅ Rich category coverage — detects CMS (WordPress, Wix, Squarespace, Drupal, Joomla, Webflow, Ghost, Contentful, Framer), e-commerce (Shopify, WooCommerce, Magento, BigCommerce, PrestaShop, Salesforce Commerce), JavaScript frameworks (Next.js, Nuxt.js, React, Vue.js, Angular, Svelte, Gatsby, Astro), analytics (Google Analytics, Google Tag Manager, Facebook Pixel, Hotjar, Segment, Mixpanel, Amplitude, Plausible, Matomo), marketing & chat (HubSpot, Intercom, Drift, Zendesk, Mailchimp, Klaviyo, Crisp, Tawk.to), payment (Stripe, PayPal, Square), JS libraries (jQuery, Bootstrap, Tailwind CSS, Font Awesome), CDN (Cloudflare, Vercel, Netlify, Fastly, Amazon CloudFront, Akamai, GitHub Pages) and web server (nginx, Apache, Microsoft IIS, LiteSpeed, Caddy, Google Frontend).
• ✅ Structured, filterable fields — each technology is grouped by category (cms, ecommerce, frameworks, analytics, marketing, payment, cdn, server, jsLibraries) plus a combined allTechnologies string and a techCount, so you can filter and pivot instantly.
• ✅ Per-site status — captures statusCode, an ok flag, and the finalUrl after redirects, so you always know whether a check succeeded and where it landed.
• ✅ High-concurrency crawling — analyzes many sites in parallel (configurable up to 300) and streams de-duplicated results as they complete.
• ✅ Keyless & cheap — plain HTTP requests, no browser rendering, no third-party API keys; optional Apify Proxy support for very large runs or geo-specific checks.
• ✅ Robust — per-site timeout so one slow website never stalls the run, automatic retry, SSL-error tolerance, and a recorded error message on any site that fails.
• ✅ Any export — download as JSON, CSV, Excel, or pull via the Apify API and webhooks.

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🎯 Use cases

• B2B sales teams — build a list of every prospect on a given e-commerce platform or martech stack and route it straight to outreach.
• Agencies & freelancers — find WordPress, Shopify, Webflow or Magento sites to pitch migrations, redesigns or support retainers.
• Growth & demand-gen — score and segment inbound or purchased lists by the sophistication of their analytics and marketing tooling.
• Competitive intelligence — profile a set of competitors' sites and track which CMS, CDN and frameworks they adopt over time.
• Market researchers & analysts — measure platform share (e.g. Shopify vs. WooCommerce vs. BigCommerce) across a vertical or region.
• Partnership & BD teams — target sites already using a complementary tool (Stripe, Segment, Klaviyo) for integration or co-sell.
• Investors & due diligence — quickly audit the technology footprint of a portfolio or acquisition target.
• Developers & SEO/tech auditors — check framework, server and CDN usage across a cohort of sites.

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📥 Input

Provide the websites you want to analyze plus a few optional run controls. The simplest run is just a list of URLs (or bare domains such as stripe.com). You can paste a list, or link a remote text/CSV file for very large lists. Leave the list empty to run a quick demo on a diverse sample of popular sites.

Field	Type	Description
urls	array	The websites whose tech stack you want to detect. Paste a list of URLs or bare domains, or upload/link a text/CSV file. Each entry becomes one result row. Leave empty to run a demo on a sample of popular sites.
maxItems	integer	Cap the total number of websites analyzed in one run — handy for a quick, cheap test before a big list. 0 (default) processes every website you provide.
maxConcurrency	integer	How many sites to analyze in parallel (1–300, default 50). Raise it for faster runs on large lists; lower it if you see errors.
timeoutSecs	integer	Give up on a site after this many seconds (3–120, default 30) so one slow website never stalls the run.
proxyConfiguration	object	Optional Apify Proxy. Off by default — enable it for very large runs or geo-specific checks.

Example input

{
  "urls": [
    { "url": "https://www.shopify.com" },
    { "url": "https://wordpress.org" },
    { "url": "https://vercel.com" },
    { "url": "stripe.com" }
  ],
  "maxItems": 0,
  "maxConcurrency": 50,
  "timeoutSecs": 30
}

You can also link a remote text or CSV file of URLs instead of pasting them, which is the recommended way to feed very large lists.

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📤 Output

Each website produces one clean record. Technology fields are comma-separated strings grouped by category; category fields are populated only when something in that category is detected on the site.

{
  "url": "https://www.shopify.com",
  "statusCode": "200",
  "ok": "true",
  "finalUrl": "https://www.shopify.com/",
  "cms": "",
  "ecommerce": "Shopify",
  "frameworks": "React",
  "analytics": "Google Analytics, Google Tag Manager",
  "marketing": "",
  "payment": "",
  "cdn": "Cloudflare",
  "server": "Cloudflare",
  "jsLibraries": "",
  "allTechnologies": "Shopify, React, Google Analytics, Google Tag Manager, Cloudflare",
  "techCount": "5",
  "error": "",
  "scrapedAt": "2026-10-25T12:00:00.000Z"
}

Field	Description
url	The website that was analyzed.
statusCode	HTTP status code of the response.
ok	"true" if the status was a success/redirect (2xx–3xx), else "false".
finalUrl	The URL actually loaded after any redirects.
cms	Content management system (WordPress, Wix, Squarespace, Drupal, Webflow, Ghost…). Present when detected.
ecommerce	E-commerce platform (Shopify, WooCommerce, Magento, BigCommerce…). Present when detected.
frameworks	JavaScript frameworks (Next.js, Nuxt.js, React, Vue.js, Angular, Svelte, Gatsby, Astro). Present when detected.
analytics	Analytics tools (Google Analytics, GTM, Facebook Pixel, Hotjar, Segment, Mixpanel…). Present when detected.
marketing	Marketing & chat tools (HubSpot, Intercom, Drift, Zendesk, Mailchimp, Klaviyo, Crisp…). Present when detected.
payment	Payment providers (Stripe, PayPal, Square). Present when detected.
cdn	CDN / edge (Cloudflare, Vercel, Netlify, Fastly, CloudFront, Akamai, GitHub Pages). Present when detected.
server	Web server from response headers (nginx, Apache, IIS, LiteSpeed, Caddy…).
jsLibraries	Front-end libraries (jQuery, Bootstrap, Tailwind CSS, Font Awesome). Present when detected.
allTechnologies	All detected technologies across every category, as one comma-separated list.
techCount	How many technologies were detected.
error	Error message if the check failed; empty on success.
scrapedAt	ISO timestamp of when the site was analyzed.

The identity and status fields (url, statusCode, ok, finalUrl, server, allTechnologies, techCount, scrapedAt) are populated for every row. The category fields are, by nature, present when available — a site only gets an ecommerce value if an e-commerce platform is actually detected, and so on.

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🔁 Pagination & scale

This is a bulk list processor, not a search crawler: your input list is the work queue. The actor reads every URL you provide, analyzes them concurrently, and writes one de-duplicated result row per site — so the output scales directly with your input, from a handful of domains to hundreds, thousands or millions of them in a single run.

• maxConcurrency controls how many sites are checked in parallel (up to 300) — raise it to finish large lists faster.
• maxItems caps the total number of sites analyzed, which is perfect for a quick, cheap test before launching the full list.
• timeoutSecs bounds how long any single site can take, so one slow server never holds up the batch.

Hundreds of sites typically finish in seconds; very large lists run cheaply because every check is a single plain-HTTP request with no browser.

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⚙️ How to use

1. Open the actor on the Apify Console and click Try for free.
2. Paste your list of websites, or link a remote text/CSV file for big lists. (Leave it empty to run the demo sample.)
3. Optionally set maxItems for a small test, raise maxConcurrency for speed, and adjust timeoutSecs.
4. Click Start and watch de-duplicated results stream into the dataset.
5. Export as JSON, CSV, Excel, or fetch via the Apify API.
6. Automate it: run on a schedule, trigger via webhook, or wire the output into Make, Zapier, n8n, Google Sheets or your CRM.

Calling from the API

curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "urls": [{"url":"https://shopify.com"}, {"url":"wordpress.org"}] }'

Then fetch the dataset as JSON or CSV:

$curl "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs/last/dataset/items?token=YOUR_APIFY_TOKEN&format=csv"

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💡 Tips

• Filter on ecommerce or cms after export to build platform-specific prospect lists (e.g. every Shopify or WooCommerce site).
• Search allTechnologies when you want a single field to match against any tool across every category.
• Score leads with marketing and analytics — sites running HubSpot, Segment or Klaviyo tend to be more mature and better-fit prospects.
• Combine with a contact scraper (see below) to turn a tech-targeted list into outreach-ready leads with emails and socials.
• Start with a small maxItems to sanity-check your list, then rerun with maxItems: 0 for the full batch.
• Raise maxConcurrency for speed on big runs; lower it or enable Apify Proxy if you see timeouts or blocks.

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❓ FAQ

How does it detect technologies? It fetches each site's HTML and response headers over plain HTTP and matches them against a library of fingerprints (script URLs, page markers and header signatures). There is no browser, which is what keeps it fast and cheap.

Is scraping website tech stacks legal? The actor performs standard HTTP requests and inspects the publicly returned HTML and headers — the same information any visitor's browser receives. It does not log in or bypass access controls. As always, review the terms of the sites you analyze and the applicable laws, and only run it on sites you have the right to check.

How many sites can it handle and how fast is it? From a handful to millions. It analyzes sites in parallel (up to 300 at a time) and streams results, so hundreds of sites usually finish in seconds and large lists complete cheaply.

Do I need proxies or a login? No. It runs keyless with no account on any third-party service. Apify Proxy is optional and off by default — enable it only for very large runs or geo-specific checks.

Does it render JavaScript? No. It reads server-rendered HTML and response headers, where the large majority of tech signals live. Technologies injected only by later client-side JavaScript execution may not appear.

Why did a site show fewer technologies than I expected? Some stacks are only detectable at runtime via JavaScript, or are intentionally obscured. The detector focuses on high-confidence HTML and header signals to keep output clean, which can mean a conservative count on some sites.

Can a technology be mis-detected? Signal-based detection is best-effort: shared markers or embedded widgets can occasionally produce a false positive, and obscured stacks can be missed. Treat the data as high-value signal rather than a guarantee, and verify edge cases when accuracy is critical.

Can I filter the results by platform? Yes. Export and filter on cms, ecommerce, marketing, analytics, cdn, server or frameworks, or search the combined allTechnologies field.

What export formats are available? Is there an API? Results export to JSON, CSV, Excel and are available via the Apify API, plus webhooks and integrations with Make, Zapier, n8n and Google Sheets.

How fresh is the data? Every run queries the live sites in real time, so results reflect each website's current HTML and headers at the moment of the run.

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Ready to profile a whole list of sites? Paste your URLs, click Start, and export your technographics as JSON, CSV or Excel in minutes.