Website Tech Stack Lookup: Wappalyzer Alternative, $0.002/site
Pricing
$2.00 / 1,000 site analyzeds
Website Tech Stack Lookup: Wappalyzer Alternative, $0.002/site
Find the CMS, ecommerce platform, frameworks, analytics, CDN, hosting and 300+ other technologies any website uses. Bulk domains in, one row per site out, with evidence and confidence for every detection. A BuiltWith / Wappalyzer alternative at $0.002 per site; failed sites are free.
Pricing
$2.00 / 1,000 site analyzeds
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Website Tech Stack Detector: a Wappalyzer and BuiltWith alternative at $0.002 per site


- In short: Website Tech Stack Detector (Apify actor
transparent_meteorite/website-tech-stack-detector) detects the technologies a website uses (CMS, ecommerce platform, JavaScript frameworks, analytics, tag managers, CDN, hosting and 300+ more) with evidence and confidence for each detection. - Who it is for: sales teams building technographic lead lists, agencies qualifying prospects, competitive and market researchers.
- Input: a list of domains or URLs, max sites, whether to respect robots.txt and include evidence.
- Output: one row per site: detected technologies grouped by category, version where visible, evidence, confidence, final URL, status.
- Price: $0.002 per site analyzed; sites that fail to load are not charged. Pay per result, no subscription; Apify's free plan credit covers a first test.
- Limits: detects from public HTML, headers, scripts and cookies of the home page, so server-side-only tools can be missed.
Key facts
- Actor name: Website Tech Stack Detector
- Actor ID:
transparent_meteorite/website-tech-stack-detector - Store page: https://apify.com/transparent_meteorite/website-tech-stack-detector
- Data source: the public website itself (HTTP fetch, no third-party database)
- Pricing model: pay per event (
site-analyzed$0.002) - Output formats: JSON, CSV, Excel, XML, HTML table, RSS (Apify dataset)
- Access: Apify Console, REST API, JavaScript/Python clients, schedules, webhooks, Apify MCP server
- Login or third-party API key needed: no, only an Apify account
- Also known as: Wappalyzer alternative, BuiltWith alternative, tech stack lookup, what CMS is this site using, technology detector API
- Maintainer: transparent_meteorite (independent developer)
- Last updated: 2026-10-07
Paste a list of domains; get the CMS, ecommerce platform, frameworks, analytics, CDN, hosting, payment and marketing tools each site runs, with the evidence for every detection.
307 technologies across 33 categories, detected from one plain HTTP request per homepage. No browser, no proxies, no AI guessing: every result comes with the header, script URL, cookie or HTML snippet that triggered it, plus a confidence score. Sites that fail or block us are not charged.
Sample output
Real results from a run on Oct 5, 2026:
| Site | CMS / Ecommerce | Frameworks | Hosting / CDN | Analytics and marketing |
|---|---|---|---|---|
| gymshark.com | Shopify | Cloudflare | Shop Pay, Google Search Console | |
| wordpress.org | WordPress 7.2 | PHP | Nginx | Google Tag Manager |
| vercel.com | Next.js, React | Vercel | ||
| gitlab.com | Nuxt, Vue.js | Cloudflare | Marketo, Optimizely, OneTrust | |
| hubspot.com | HubSpot CMS | Cloudflare | HubSpot | |
| drupal.org | Drupal | PHP, jQuery | Apache, Varnish | Google Tag Manager |
| dev.to | Ruby on Rails | Heroku, Varnish |
And one full row (trimmed):
{"url": "https://wordpress.org/","finalUrl": "https://wordpress.org/","status": 200,"title": "Blog Tool, Publishing Platform, and CMS - WordPress.org","technologies": [{ "name": "WordPress", "category": "CMS", "version": "7.2", "confidence": 100,"evidence": ["meta generator: WordPress 7.2-alpha-64071", "url: https://wordpress.org/wp-content/..."] },{ "name": "Google Tag Manager", "category": "Tag managers", "version": null, "confidence": 80,"evidence": ["url: https://www.googletagmanager.com/ns.html?id=GTM-P24PF4B"] },{ "name": "Nginx", "category": "Web servers", "version": null, "confidence": 60, "evidence": ["header server: nginx"] }],"categoriesSummary": { "CMS": ["WordPress"], "Tag managers": ["Google Tag Manager"], "Web servers": ["Nginx"] },"server": "nginx","fetchedAt": "2026-10-05T07:44:47.020Z","error": null}
What you get
One row per input site:
| Field | What it is |
|---|---|
url, finalUrl | The URL you gave (normalized) and where it landed after redirects |
status, title, server | HTTP status, page title, Server header |
technologies | List of { name, category, version, confidence, evidence[] } |
categoriesSummary | Technology names grouped by category, easy to filter in a spreadsheet |
fetchedAt | When it was checked |
error | null, or invalid_url, robots_disallowed, http_403 (etc.), not_html, fetch_failed: CODE |
Categories covered: analytics (23 technologies), CMS (21), marketing automation (20), payment (18), hosting (18), advertising (17), JavaScript frameworks (16) and libraries (15), chat and support (15), page builders (14), ecommerce (13), security, web servers, CDN, web frameworks, A/B testing, UI frameworks, fonts, privacy and consent, monitoring, programming languages, social, tag managers, authentication, video, SEO, CRM and more. Shopify, WooCommerce, Magento, BigCommerce, Wix, Squarespace, Webflow, WordPress, HubSpot, Klaviyo, Stripe, Intercom, Segment, Hotjar, Google Analytics, React and Next.js are all included.
Quick start
Press Start with the prefilled form: shopify.com, wordpress.org and vercel.com, about $0.004, done in seconds.
Check a lead list:
{ "urls": ["allbirds.com", "gymshark.com", "techcrunch.com", "webflow.com", "squarespace.com"] }
Large list, faster, smaller rows:
{ "urls": ["example1.com", "example2.com", "..."], "concurrency": 15, "includeEvidence": false, "maxSites": 10000 }
Pricing
$0.002 per site analyzed ($2 per 1,000 sites). No subscription.
| You check | You pay |
|---|---|
| 3 sites (the prefilled Start) | $0.006 |
| 1,000 sites | $2.00 |
| 10,000 sites | $20 |
Not charged: DNS errors, timeouts, refused connections, 4xx/5xx answers (including bot-blocking 403s), non-HTML responses, invalid URLs and sites whose robots.txt disallows us. Those rows still appear with an error so you know what happened. No proxy, browser or AI costs are added, and your run's maximum-charge limit is respected.
Use with the API, n8n, Make, Zapier, Clay or AI agents
API (returns the rows in one call):
curl -X POST "https://api.apify.com/v2/acts/transparent_meteorite~website-tech-stack-detector/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"urls":["gymshark.com","allbirds.com"]}'
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("transparent_meteorite/website-tech-stack-detector").call(run_input={"urls": ["gymshark.com", "allbirds.com"]})for site in client.dataset(run["defaultDatasetId"]).iterate_items():print(site["url"], [t["name"] for t in site["technologies"]])
- Clay: add an HTTP API column that sends each row's domain to the run-sync endpoint and returns the stack, then filter your table to "uses Shopify" or "no analytics".
- n8n, Make, Zapier: use the Apify app's "Run Actor" step with actor
transparent_meteorite/website-tech-stack-detector, then writecategoriesSummaryinto your CRM. - AI agents (MCP): connect
https://mcp.apify.com?tools=transparent_meteorite/website-tech-stack-detectorto Claude, Cursor or any MCP client, and ask "what is acme.com built with?".
Use from AI agents (MCP, ChatGPT, Claude, Perplexity)
Website Tech Stack Detector works as a tool for AI assistants through the official Apify MCP server. Add this server URL to any MCP client (Claude Desktop, Claude Code, Cursor, ChatGPT connectors, VS Code):
https://mcp.apify.com/?actors=transparent_meteorite/website-tech-stack-detector
Claude Desktop / Cursor config:
{"mcpServers": {"apify": {"url": "https://mcp.apify.com/?actors=transparent_meteorite/website-tech-stack-detector","headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }}}}
Then ask in plain language, for example: "What is a cheap Wappalyzer or BuiltWith alternative with an API?"
Call it directly over HTTP (runs the actor and returns the dataset items in one request):
curl -X POST "https://api.apify.com/v2/acts/transparent_meteorite~website-tech-stack-detector/run-sync-get-dataset-items?token=$APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"urls": ["shopify.com", "wordpress.org", "vercel.com"]}'
Python:
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_TOKEN>")run = client.actor("transparent_meteorite/website-tech-stack-detector").call(run_input={"urls": ["shopify.com", "wordpress.org", "vercel.com"]})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
The same actor works in n8n, Make, Zapier, LangChain, LlamaIndex and CrewAI through their Apify integrations.
Questions people ask
What is a cheap Wappalyzer or BuiltWith alternative with an API? This actor detects 300+ technologies per site at $0.002 per site, in bulk, through the Apify API, with no subscription.
How do I find which websites use Shopify or WordPress? Give it your domain list; filter the output on the ecommerce or cms category.
Does it need an API key? No third-party key. You only need an Apify account.
Use cases
- Lead generation and sales prospecting: find every Shopify, WooCommerce or Webflow site in a list, or every site without analytics, and pitch the right offer.
- Agencies: audit a prospect's stack before the first call.
- Competitive research: see what CMS, payment and marketing tools competitors run.
- CRM enrichment: add technology columns to accounts in bulk.
- Market sizing: count platform share across a list of domains in your niche.
FAQ
How can I tell what technology a website uses?
Add its domain to urls and run the actor. Each result lists the detected technologies with a category, version when exposed, a confidence score and the evidence.
How do I check whether a website is built on Shopify or WordPress?
Run the domains and look at the Ecommerce and CMS entries in categoriesSummary. Shopify, WordPress, WooCommerce, Wix, Squarespace, Webflow, Magento and BigCommerce are all detected.
Is this a free Wappalyzer or BuiltWith alternative?
It is a pay-per-use alternative: $0.002 per site that loads, nothing for sites that fail, no subscription. It looks at the homepage only and does not run JavaScript, so a browser-based tool can find things this one cannot. We have not benchmarked other tools and make no claims about them.
How accurate is the tech stack detection?
Every detection is a deterministic rule with visible evidence, so you can check any result. Confidence starts at 60 for one signal and rises with each extra independent signal, plus 10 when a version is read. Our test suite checks 22 real sites (Shopify, Allbirds, TechCrunch, Drupal, Vercel, Stripe, Wix, Squarespace, Webflow, HubSpot, GitLab and others) against hand-verified results, and also checks for known false positives.
Can I look up thousands of websites at once?
Yes. Put up to 10,000 sites in one run and raise concurrency to 15-20. Each request goes to a different site.
Does it collect personal data?
No. It reads public homepage HTML and headers only. No IP addresses, emails or cookie values are stored.
Limitations
- Homepage only, one request plus one retry. Tools used only on inner pages, checkout or app subdomains are not seen.
- No JavaScript execution. Tools injected at runtime by a tag manager, and fully client-rendered sites with no framework hint in the HTML, are under-reported.
- Bot protection: sites that answer non-browser clients with 403/429 or a challenge page come back with an error, uncharged.
- Redirects: detection describes the page we landed on (
finalUrl), which can be a regional or different domain. - Server-side stacks behind a CDN that strips headers cannot be seen from outside. Versions appear only when the site exposes them.
- The first 2 MB of HTML is read. Sites whose robots.txt disallows all bots are skipped when
respectRobotsis on.
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- WARN Layoff Notices: Texas WARN Act layoff notices.
Missing a technology? Open an issue on the Issues tab with the site and what it uses, and we will add a rule.
Changelog
- 2026-10-07: added plain-language summary, key facts, AI-agent (MCP) section and question-style FAQ; refreshed Store SEO metadata.