Tech Stack Detector - Bulk Wappalyzer & BuiltWith Alternative
Pricing
from $3.20 / 1,000 domain analyzeds
Tech Stack Detector - Bulk Wappalyzer & BuiltWith Alternative
Wappalyzer & BuiltWith alternative: detect 7,600+ technologies (CMS, e-commerce, analytics, CDN, payments) on thousands of domains, plus email provider, SPF and DMARC. $4/1k domains; failed domains free.
Pricing
from $3.20 / 1,000 domain analyzeds
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Tech Stack Detector: bulk Wappalyzer & BuiltWith alternative for thousands of domains
Find out which technologies any list of websites uses, from 10 to 10,000+ domains in one run: CMS, e-commerce platform, analytics, tag managers, JavaScript frameworks, CDN, hosting, live chat, payments and 7,600+ more, plus each domain's email provider (MX), SPF senders and DMARC policy. $4 per 1,000 analyzed domains; unreachable, blocked and timed-out domains are free.
What you get from the Tech Stack Detector
- Every technology per domain: name, version where detectable, confidence and categories, plus a flat
techNamesarray and abyCategorymap that drop straight into a spreadsheet column. - Lead lists, not just lookups: the
onlyIfUsesfilter keeps only domains running, for example,Shopify,WooCommerceorHubSpot. Scanned domains that don't match cost $0.0003 instead of the full price and are not written to the dataset. - Email intelligence in the same row: Google Workspace vs Microsoft 365 vs Zoho, the SaaS tools a company sends mail from (SendGrid, Mailchimp, HubSpot, Salesforce…) and its DMARC policy.
It is fast and light (plain HTTP, no browser, 100+ domains per minute at the default memory) and works out of the box: the prefilled input analyzes 3 sites in under a minute.
Use cases
- Lead generation. Upload a list of domains and keep only Shopify / WooCommerce / Magento stores, WordPress sites, sites without Google Analytics, and so on.
- Sales intelligence and outbound. Personalize your pitch: "I see you use Klaviyo and Shopify…". Pick the right email deliverability approach based on whether the company runs Google Workspace or Microsoft 365.
- Competitor research. See which analytics, CDN, framework and marketing stack your competitors run.
- Market research. Measure technology adoption across a list of thousands of sites (for example, the share of a country's top sites that run WordPress).
- Agencies. Qualify prospects before reaching out (outdated CMS versions, missing HSTS, no tag manager).
Input
| Field | Type | Description |
|---|---|---|
domains | array of strings | Domains or URLs (example.com, https://www.example.com/page). Normalized and deduplicated automatically. |
includeDns | boolean (default true) | Add email provider (MX), SPF senders and DMARC policy. |
onlyIfUses | array of strings | Optional lead filter. Output only domains that use at least one of these technologies (case-insensitive), e.g. ["Shopify","WooCommerce"]. |
categories | array of strings | Optional. Keep only technologies in these categories, e.g. ["Ecommerce","CMS","Analytics"]. |
minConfidence | integer (default 50) | Minimum detection confidence (0–100). |
maxConcurrency | integer (default 20) | Parallel requests. |
requestTimeoutSecs | integer (default 20) | Per-domain timeout. |
proxyConfiguration | object | Optional Apify Proxy. It is usually not needed; use it if many domains block datacenter IPs. |
Example input:
{"domains": ["vercel.com", "gymshark.com", "techcrunch.com", "olx.ba"],"includeDns": true,"onlyIfUses": [],"minConfidence": 50}
Output
One item per domain. Example (shortened):
{"input": "vercel.com","domain": "vercel.com","finalUrl": "https://vercel.com/","statusCode": 200,"title": "Agentic Infrastructure - Vercel","language": "en","technologies": [{ "name": "Next.js", "version": null, "confidence": 100, "categories": ["JavaScript frameworks", "Web frameworks"], "website": "https://nextjs.org", "implied": false },{ "name": "Vercel", "version": null, "confidence": 100, "categories": ["PaaS"], "website": "https://vercel.com", "implied": false }],"techNames": ["Amazon S3", "Amazon Web Services", "HSTS", "Next.js", "Node.js", "React", "Vercel", "Webpack"],"byCategory": { "JavaScript frameworks": ["Next.js", "React"], "PaaS": ["Amazon Web Services", "Vercel"] },"email": {"mxHosts": ["aspmx.l.google.com"],"emailProvider": "Google Workspace","spfRecord": "v=spf1 include:_netblocks.google.com include:sendgrid.net … ~all","spfSenders": ["SendGrid", "Amazon SES", "Salesforce", "Marketo", "Postmark"],"dmarcPolicy": "quarantine"},"blocked": false,"error": null,"checkedAt": "2026-10-04T06:21:53.521Z"}
blocked: truemeans the site answered with an error or anti-bot page (403, 429, 5xx…). Whatever could be detected from headers is still returned, and the domain is not charged.erroris set when the domain could not be reached at all (DNS not found, timeout). It is not charged.- A run summary (delivered, filtered-out, blocked and failed counts, plus the most common technologies) is saved in the key-value store under the key
SUMMARY.
You can download the dataset as JSON, CSV, Excel, XML or HTML, or read it via the Apify API.
Pricing (pay per domain, failures free)
Pay per event, with simple and transparent pricing:
- Domain analyzed (
domain-analyzed, primary event): $0.004 per domain successfully analyzed and delivered to your dataset ($4 per 1,000), $0.0036 on Silver and $0.0032 on Gold. - Domain filtered out (
domain-filtered-out, $0.0003): charged only when you use theonlyIfUseslead filter, for domains that were scanned but did not match. These are not written to the dataset. - Free: unreachable, non-existent, timed-out and blocked (403/429/5xx) domains.
See the Pricing tab for current prices. You can set a maximum cost per run, and the actor stops gracefully when it is reached.
How it works
For each domain the actor fetches the homepage over HTTPS. If that fails, it tries www. and then HTTP. It then matches response headers, cookies, meta tags, HTML, script URLs, inline scripts and DOM selectors against an open-source Wappalyzer-compatible fingerprint database of 7,600+ technologies. Versions are extracted where the fingerprints allow it, and implied technologies are added automatically (for example, WooCommerce → WordPress → PHP). In parallel it queries public DNS records (MX, SPF TXT, DMARC TXT).
Limitations
- No JavaScript execution. Technologies that can be detected only through JavaScript globals inside a real browser may be missed. Most technologies leave traces in HTML, headers, cookies or script URLs, so coverage is high, but it is not 100%.
- Only the homepage (after redirects) is analyzed, not the whole site.
- Sites with aggressive anti-bot protection may return
blocked: true. You are not charged for those. - Detection relies on public fingerprints and may contain occasional false positives or negatives.
Use with AI agents (MCP)
This Actor works as a tool for AI agents through the Apify MCP server at https://mcp.apify.com. Connect Claude, Cursor, VS Code, n8n or any other MCP client to https://mcp.apify.com?tools=tinyrex/tech-stack-detector and the agent can run it from a plain-language request, for example: "Which of these 200 domains use Shopify and Klaviyo?". Results come back as clean, structured JSON at the same pay-per-result price, and failed inputs stay free.
📘 Step-by-step guide with Python, JavaScript, curl and MCP examples: Bulk tech stack lookup: a Wappalyzer / BuiltWith alternative for thousands of domains
Related actors
- Shopify Products Scraper: Found Shopify stores with the lead filter? Export all their products, prices and stock.
- WooCommerce Products Scraper: Same for WooCommerce stores: products, variations, prices and stock.
- ATS Jobs Scraper: When the detector flags recruiting tools like Greenhouse, Lever or Ashby, pull every open job from those companies as a hiring signal.
- Workday Jobs Scraper: Enterprise companies hiring on Workday: all jobs with full descriptions.
- Sitemap Scraper: Every URL from any website's XML sitemaps, with lastmod and an optional broken link check.
- RSS Feed Scraper: Any RSS, Atom or JSON feed (company blogs, news, changelogs) as clean JSON/CSV, with monitoring.
FAQ
How do I find out what technology a website uses? Paste one or more domains into Domains and run. Each domain comes back with its CMS, frameworks, analytics, CDN, hosting and other technologies, the same kind of result Wappalyzer or BuiltWith show for a single site, but for a whole list at once.
Is there a cheaper alternative to BuiltWith or Wappalyzer for bulk lookups? Yes, that is what this Actor is for: $4 per 1,000 analyzed domains with failures free, no subscription, and results via API, CSV, Excel, Google Sheets or MCP.
How do I find which websites in my list use Shopify (or WordPress, HubSpot…)? Put your domains in Domains and the technology names in Only if uses, e.g. ["Shopify"]. Only matching domains are saved. This Actor checks a list you provide; it does not crawl the whole web to discover sites.
Is this legal? The actor makes one ordinary request to each site's public homepage and reads public DNS records, much like a browser or a DNS lookup. It does not log in, does not bypass paywalls and does not collect personal data. You are responsible for how you use the results.
How is this different from BuiltWith or Wappalyzer? It is built for bulk lists and automation, it is much cheaper per domain, it charges nothing for failures, and it adds email-provider and SPF intelligence in the same row.
How fast is it? About 100–150 domains per minute with the default 2 GB memory, and faster with more memory (4 GB and 8 GB runs use more detection workers). Speed also depends on how fast the target sites respond.
Can I use it from my code or AI agent? Yes. Use the Apify API, the JavaScript/Python clients, Make/Zapier/n8n integrations or Apify's MCP server.
Something is detected wrong or missing? Open an issue in the Issues tab with the domain and the expected technology. We review issues regularly.