Tech Stack Detector — BuiltWith & Wappalyzer Alternative

Find out what any website is built with, in bulk, and turn it into leads. Paste a list of domains and see which sites run Shopify, WordPress, HubSpot, Klarna, Stripe or any of 7,600+ technologies. Each site gets its CMS, ecommerce platform, payment providers, analytics, marketing tools, CDN and frameworks in clean columns you can drop into a spreadsheet or CRM.

A pay-per-use BuiltWith alternative and Wappalyzer alternative: no $250–$295/month subscription and no browser extension clicking through sites one by one.

What you can do with it

• 🎯 Build lead lists by technology: keep only the stores on Shopify, the sites on WordPress, or the companies using HubSpot, in one run (onlyDomainsUsing).
• 🧾 Enrich a CRM or lead export with tech stack columns (cms, ecommerce, payments, analytics, crm…).
• 🕵️ Research competitors: see their analytics, tag manager, A/B testing, payments and marketing automation.
• 🛠 Qualify agency prospects by CMS before outreach (WordPress, Webflow, Shopify, Wix…).
• 🔐 Audit infrastructure: web servers, CDNs, frameworks and versions across many domains.

Why this Actor

• 🔍 7,600+ technologies detected from the live website (HTML, headers, cookies, scripts, meta tags and page elements) using the open-source Wappalyzer-format fingerprint database.
• 📋 Bulk: hundreds of domains per run; URLs, www. and paths are cleaned up and duplicates removed.
• 📊 Flat columns ready for Google Sheets, Excel or your CRM, plus a full technologies list with categories, version (when visible) and confidence.
• 🛟 Backup index: sites that block automated visits are checked against a secondary technology index.
• 💸 Pay only for results: invalid, offline or undetectable sites are free.
• 🤖 Automation & AI-agent ready: Python, JavaScript, n8n, Make, Zapier, or as a tool for AI agents through the Apify MCP server.

How to use it

1. Paste domains or URLs into Domains.
2. Optional: set Only domains using (e.g. Shopify) to get a lead list.
3. Click Start, then download the results as CSV, Excel or JSON, or use the API.

{
  "domains": ["allbirds.com", "gymshark.com", "klarna.com", "hubspot.com"],
  "onlyDomainsUsing": ["Shopify"]
}

Output example (real, September 2026)

domain	ecommerce / CMS	payments	marketing & tags
allbirds.com	Shopify	Apple Pay, PayPal	Google Tag Manager
klarna.com	Contentful (CMS)	Klarna Checkout	Google Tag Manager
hubspot.com	HubSpot CMS Hub	—	HubSpot

One row (trimmed to 3 of 10 technologies):

{
  "domain": "allbirds.com",
  "technologyCount": 10,
  "technologyNames": "Apple Pay, Cloudflare, Google Tag Manager, HSTS, HTTP/3, Open Graph, PayPal, Priority Hints, Shopify, Swiper",
  "ecommerce": "Shopify",
  "payments": "Apple Pay, PayPal",
  "tagManagers": "Google Tag Manager",
  "cdn": "Cloudflare",
  "technologies": [
    { "name": "Apple Pay", "version": null, "confidence": 100, "categories": ["Payment processors"], "website": "https://www.apple.com/apple-pay" },
    { "name": "Cloudflare", "version": null, "confidence": 100, "categories": ["CDN"], "website": "https://www.cloudflare.com" },
    { "name": "Google Tag Manager", "version": null, "confidence": 100, "categories": ["Tag managers"], "website": "https://www.google.com/tagmanager" }
  ]
}

Flat columns: cms, ecommerce, payments, analytics, advertising, tagManagers, marketingAutomation, crm, liveChat, abTesting, cookieCompliance, cdn, hosting, webServers, jsFrameworks, webFrameworks, programmingLanguages. With onlyDomainsUsing, rows also include matchedTechnologies.

Use it from code

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("jesting_grass/tech-stack-detector").call(run_input={
    "domains": ["allbirds.com", "gymshark.com", "klarna.com"],
})
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row["domain"], "|", row.get("ecommerce") or row.get("cms"), "|", row.get("payments"))

More examples (CSV export, Shopify lead filter, Node.js, cURL): github.com/emiohr/builtwith-wappalyzer-alternative · Tutorial: Find any website's tech stack in bulk with Python

Pricing

Pay per analyzed domain (see the Pricing tab). No subscription. Invalid domains, offline sites and sites where nothing could be detected are not charged. With the lead filter, every analyzed domain is billed, whether or not it matches.

For comparison (September 2026): BuiltWith plans start at $295/month and Wappalyzer Pro at $250/month.

More tools from the same developer

• Backlink Checker — every backlink, referring domains and competitor link gap
• Google Trends Scraper & API — interest over time, rising queries and regions
• Bulk Domain Authority & Backlink Checker — domain rank, referring domains and backlinks
• Keyword Research Tool — search volume, difficulty, intent, AI Overviews and keyword ideas
• Amazon Product Scraper — prices, ratings, reviews and best sellers from 18 Amazon marketplaces

FAQ

How is this different from the Wappalyzer browser extension? The extension checks one site at a time while you browse. This Actor analyzes whole lists of domains automatically and returns structured data you can filter, export and automate.

How accurate is it? Each website's homepage is fetched and matched against 7,600+ open-source technology fingerprints (the Wappalyzer format, maintained by the community at enthec/webappanalyzer). Technologies that only load after JavaScript runs, or only appear on inner pages or behind a login, can be missed. Treat results as strong signals, not a complete inventory.

Can I find every website using a technology (e.g. all Shopify stores)? This Actor analyzes the domains you provide. Combine it with any domain source (a lead list, Google Maps or search results) and use onlyDomainsUsing to keep the matches.

Is it legal? It reads publicly available website code, not personal data.

Not affiliated with BuiltWith or Wappalyzer; names are used for comparison only. Technology fingerprints: enthec/webappanalyzer, GPL-3.0.