Tech Stack Detector: Wappalyzer & BuiltWith Alternative (Bulk)

Give it a list of websites and get one row per site with the technologies it runs on:

• CMS and site builders: WordPress, Drupal, Joomla, Webflow, Wix, Squarespace, HubSpot CMS, Ghost, TYPO3, AEM, Sitecore...
• E-commerce platform: Shopify, WooCommerce, Magento / Adobe Commerce, BigCommerce, PrestaShop, Salesforce Commerce Cloud, VTEX, Tiendanube / Nuvemshop, Wix Stores... plus a simple hasEcommerce flag
• Analytics, tag managers and ad pixels: Google Analytics, Google Tag Manager, Meta (Facebook) Pixel, LinkedIn Insight, TikTok Pixel, Hotjar, Microsoft Clarity, Segment, Mixpanel...
• Marketing automation, CRM and live chat: HubSpot, Marketo, Pardot, Klaviyo, Mailchimp, Intercom, Drift, Zendesk, tawk.to...
• Payments: Stripe, PayPal, Klarna, Afterpay, Mercado Pago...
• Frameworks and libraries: React, Next.js, Vue, Nuxt, Angular, Svelte, jQuery, Bootstrap, Tailwind...
• Hosting, CDN and servers: Cloudflare, Fastly, Akamai, CloudFront, Vercel, Netlify, AWS, Nginx, Apache, IIS...
• Email provider and SaaS from DNS: Google Workspace, Microsoft 365, Zoho Mail, SendGrid, Amazon SES, Mailgun, Atlassian, DocuSign, Salesforce...
• Versions when the site exposes them (e.g. WordPress 6.4.2, jQuery 3.7.1)

3,500+ technology signatures are checked against the HTML, HTTP headers, cookies, <meta> tags, script URLs, CSS selectors of the page and the domain's DNS records. Plain HTTP requests, no browser: fast and cheap at scale.

What does Tech Stack Detector do?

Tech Stack Detector finds the technologies behind a list of websites: CMS (WordPress, Shopify...), e-commerce platform, analytics, tag managers, ad pixels, CDN, hosting, JavaScript frameworks, payment providers and email provider, using 3,500+ open Wappalyzer signatures on HTML, headers, cookies, scripts and DNS. Use it for technographic lead generation and competitor research.

How to use Tech Stack Detector

1. Click Try for free on this page (a free Apify account is enough to start).
2. Fill in the input (see the examples below) or keep the prefilled example.
3. Click Start and wait for the run to finish.
4. Download the results from the Output tab as JSON, CSV, Excel or HTML, or read them with the Apify API.
5. Optional: create a Schedule to run it daily or weekly, and connect a webhook or an integration (Make, Zapier, n8n, Slack).

Use cases

• B2B sales prospecting: find every Shopify / WooCommerce / Magento store in a list, or every company using HubSpot, Salesforce or a competitor's product
• Lead qualification and CRM enrichment: add CMS, e-commerce platform, analytics and email provider to each account
• Agencies: audit a prospect's stack before the first call (CMS, tracking pixels, consent tool, CDN)
• Market research: technology adoption across a market, a country or a competitor list
• Change monitoring: schedule weekly runs and get alerted when a prospect adds or removes a technology (a migration is a buying signal)

Input

{
  "urls": ["wordpress.org", "www.allbirds.com", "https://vercel.com/"],
  "maxPagesPerSite": 1,
  "checkDns": true,
  "onlySitesUsing": [],
  "compareWithPreviousRun": false
}

• Websites: domains, URLs or work emails, one per line. Duplicates and invalid lines are removed.
• Dataset or CSV file URL: check the websites of another Actor's output (Google Maps, lead lists...) or a spreadsheet (Google Sheets links work). Say which column has the website with URL field, and copy columns like name or id into the output with Fields to keep.
• Pages per site: 1 = home page only. Up to 5 also checks a few internal pages (shop, blog, pricing, contact). Same price.
• Only output sites using: a lead-gen filter, e.g. Shopify, Klaviyo.
• Track changes between runs: adds changes.added / changes.removed compared with the previous run of the same monitor name.

Output (one row per site, shortened)

{
  "input": "www.allbirds.com",
  "domain": "allbirds.com",
  "url": "https://www.allbirds.com/",
  "finalUrl": "https://www.allbirds.com/",
  "status": "ok",
  "httpStatus": 200,
  "technologyCount": 12,
  "technologyNames": ["Shopify", "PayPal", "Google Tag Manager", "Cloudflare", "Microsoft 365", "..."],
  "technologies": [
    { "name": "Shopify", "version": null, "confidence": 100, "categories": ["Ecommerce"], "website": "http://shopify.com", "cpe": null }
  ],
  "cms": [],
  "ecommerce": ["Shopify"],
  "hasEcommerce": true,
  "analytics": [],
  "tagManagers": ["Google Tag Manager"],
  "advertising": [],
  "marketingAutomation": [],
  "liveChat": [],
  "paymentProcessors": ["PayPal"],
  "javascriptFrameworks": [],
  "cdn": ["Cloudflare"],
  "hosting": [],
  "webServers": [],
  "emailProvider": ["Microsoft 365"],
  "pagesAnalyzed": ["https://www.allbirds.com/"],
  "dnsChecked": true,
  "changes": null,
  "source": null,
  "error": null,
  "checkedAt": "2026-10-26T21:56:36.914Z"
}

Every row has the same keys. Sites that could not be checked come back with status: "failed" (or "blocked_by_robots") and an error in plain English, and are not charged. A RUN_SUMMARY record in the key-value store counts sites, failures and the most common technologies.

Pricing

Pay per event: USD 0.002 per site checked (USD 2 per 1,000 sites), whatever the number of pages per site. Failed sites, sites blocked by robots.txt, invalid lines and duplicates are free. With "Only output sites using", sites that do not match are still charged because they were analysed. Your "max charge per run" is respected: the Actor never checks more sites than you are willing to pay for.

How it works and limits

• One plain HTTP request per page with an identifiable user agent (TechStackDetectorBot). robots.txt is checked on every request and redirect: sites that disallow it are skipped, not bypassed. At most 1 request per second per site.
• No browser, so technologies that can only be seen by running the page's JavaScript (some single-page apps, tags injected by a tag manager, JavaScript global variables) can be missed. Sites behind a bot challenge (some WAFs) return little or nothing.
• Detection is signature-based: a technology is reported when its fingerprint is present, which is reliable for platforms and tags but cannot see back-end tools that leave no trace.
• Only public, technical data about websites. No personal data is collected.

Credits and licence of the signatures

Technology signatures and the matching engine come from Wappalyzer 6.10.54 (npm package wappalyzer, released under the MIT licence; copyright Elbert Alias). The licence text is included in the Actor source at vendor/wappalyzer/LICENSE. A few extra signatures and false-positive fixes were added by us. This Actor is not affiliated with or endorsed by Wappalyzer.

Cost examples

Prices at the current pay-per-event rate: USD 2.00 per 1,000 websites analysed (failed sites, robots.txt blocks and duplicates are free). You can set a maximum charge per run in the run options.

Job	Approximate cost
Test run: the 3 example sites (measured: 3 s)	about $0.006
500 lead domains from a CSV	about $1.00
10,000 domains for market research	about $20.00
Weekly monitor of 50 competitor sites (changes detected)	about $0.10 per run

Use it from your code, an integration or an AI agent

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("latamdatatools/tech-stack-detector").call(run_input={
  "urls": [
    "wordpress.org",
    "www.allbirds.com",
    "vercel.com"
  ],
  "maxPagesPerSite": 1,
  "checkDns": True
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["domain"], item["cms"], item["technologyNames"])

JavaScript / Node.js (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('latamdatatools/tech-stack-detector').call({
  urls: [
    'wordpress.org',
    'www.allbirds.com',
    'vercel.com'
  ],
  maxPagesPerSite: 1,
  checkDns: true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.map((i) => [i.domain, i.technologyNames]));

No code:

• Schedules: save your input as a Task and run it daily or weekly from Apify Console (Schedules).
• Integrations: send the results to Google Sheets, Slack, email, Make, Zapier, n8n or Airbyte from the Integrations tab, or call your own webhook when a run finishes.
• AI agents: add it as a tool in Claude, Cursor, VS Code and other MCP clients through the Apify MCP server (https://mcp.apify.com), so the agent can look up what a company website is built with.

FAQ

Can I check 10,000 sites? Yes. Raise "Sites checked in parallel" (up to 20) for faster runs; each site still gets at most 1 request per second.

Why is a technology I know the site uses missing? It may be loaded only by JavaScript after the page renders, live on a page that was not checked (try "Pages per site" 3-5), or the site may block automated requests.

Can I get only Shopify stores? Put Shopify in "Only output sites using".