Website Tech Stack Detector: Identify Tech on Any Site

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Website Tech Stack Detector: Identify Tech on Any Site

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Website Tech Stack Detector

See what any website runs on: CMS, frameworks, analytics, ad tech, CDN. Instant competitor intelligence, no signup.

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Direct Answer: What Does Website Tech Stack Detector Do?

Website Tech Stack Detector is an Apify actor that scans any URL and returns a structured list of every technology running on that site, CMS, JavaScript frameworks, analytics platforms, CDN providers, payment processors, marketing automation tools, and more. Feed it a single URL or a list of thousands. It returns clean JSON you can feed into a spreadsheet, CRM, or data pipeline.

It is built on the same detection engine category as enterprise tools like BuiltWith and Wappalyzer, but runs on Apify’s pay-per-use infrastructure. From $3 per 1,000 analyzed websites, it costs a fraction of what subscription-based alternatives charge for many bulk workflows, with no monthly commitment required.


What Technologies Does It Detect?

The actor identifies technologies across every major category a marketer, sales team, or developer would care about. Detection covers 6,000+ technologies drawn from continuously updated fingerprint databases.

Content Management Systems

WordPress, Webflow, Shopify, Squarespace, Wix, Ghost, Contentful, Sanity, Drupal, Joomla. Knowing which CMS a site runs is critical for agency prospecting, migration consulting, and plugin sales targeting.

JavaScript Frameworks and Libraries

React, Next.js, Vue, Nuxt, Angular, Svelte, Astro, Gatsby. Frontend stack detection tells you whether a site is a modern SPA, a server-rendered app, or a legacy monolith, useful for technical sales and competitive benchmarking.

Analytics and Tracking Tools

Google Analytics 4, Universal Analytics (still in use), Plausible, Fathom, Mixpanel, Amplitude, Hotjar, Microsoft Clarity, Heap. Knowing what analytics stack a prospect runs reveals their data maturity and budget tier.

CDN and Hosting Infrastructure

Cloudflare, Fastly, Akamai, AWS CloudFront, Vercel, Netlify, Fly.io. CDN detection helps identify enterprise-grade operations versus budget hosting setups.

Payment Processors

Stripe, PayPal, Braintree, Square, Paddle, Recurly, Chargebee. Payment stack detection is valuable for fintech sales teams and competitive intelligence on monetization models.

Marketing Automation and CRM

HubSpot, Marketo, Pardot, ActiveCampaign, Klaviyo, Intercom, Drift, Salesforce, Zoho. This category is the highest-value signal for B2B sales prospecting, it tells you exactly which tools a company is already paying for.

Email Marketing Platforms

Mailchimp, Klaviyo, ConvertKit, Campaign Monitor, Brevo (formerly Sendinblue), Drip. Email platform detection is a direct signal of marketing investment and list size tier.

A/B Testing and Optimization

Optimizely, VWO, Google Optimize (legacy), AB Tasty, Convert. Companies running A/B tests are typically growth-focused and higher-budget.

Live Chat and Support

Zendesk, Intercom, Freshdesk, Tidio, Crisp, HelpScout. Support tool detection reveals company size and customer success investment.


Four High-Value Use Cases

1. Sales Prospecting: Find Companies Using Competitor Tools

If you sell a HubSpot alternative, your best prospects are companies already paying for HubSpot. Run Website Tech Stack Detector against a list of 1,000 target company URLs. Filter results for hubspot in the output. You now have a prioritized list of warm prospects who already understand the problem you solve and are actively paying to solve it.

This works for any tool category: find Mailchimp users for an email migration pitch, find Shopify Plus stores for an enterprise ecommerce upsell, find sites running GA4 without Hotjar for a heatmap tool sale.

2. Competitive Intelligence: Audit What Your Competitors Use

Before a product meeting, run your top 10 competitors through the detector. You will see exactly what analytics tools they use (and therefore what metrics they track), what A/B testing platforms they run, what CDN they trust with their traffic, and whether they have recently switched stacks.

Stack changes are acquisition signals. A competitor migrating from Mailchimp to Klaviyo suggests a shift toward ecommerce revenue. A company adding Intercom suggests they are investing in product-led growth. Stack stability versus churn reveals operational maturity.

3. Market Research: Tech Adoption Across an Entire Industry

Run the actor against a curated list of 500 companies in a specific vertical, say, mid-market SaaS companies in EMEA. Aggregate the results. You now have market share data: what percentage run React versus Vue, what fraction use Stripe versus Paddle, which analytics tools dominate the segment.

This data supports investor decks, product positioning decisions, and partnership prioritization. It is the kind of research that normally costs $5,000 from a market research firm. At $0.75 per 1,000 scans, 500 URLs costs $0.38.

4. Agency Research: Identify Clients Who Need Migration Help

Web agencies can scan their prospect list for outdated CMS versions, legacy frameworks, or missing analytics setups. A site still running Universal Analytics (deprecated), WordPress without modern tooling, or no CDN protection is a qualified lead for an upgrade engagement.

Run the actor monthly against a watchlist of target accounts. When a site’s tech stack changes, for example, they switch from a custom CMS to Webflow, that is a trigger event. Reach out with a relevant pitch within days of the change.


How to Use Website Tech Stack Detector

The actor runs on Apify with no setup beyond an Apify account. There is nothing to install locally.

Single URL scan

Open the actor page, paste a URL into the input field, click Run. Results appear in the actor’s output tab within seconds, formatted as JSON.

Bulk scan via input list

For lists of URLs, pass an array in the startUrls input field. The actor processes URLs in parallel and writes all results to a single dataset. Export as JSON, CSV, or Excel.

API integration

Apify exposes a REST API for every actor. Send a POST request with your URL list, poll for completion, fetch results. This integrates cleanly into any data pipeline, Zapier, Make, n8n, or custom code.

Scheduled monitoring

Apify supports scheduled actor runs via cron. Set the actor to scan a list of competitor URLs weekly. Store results in Apify’s dataset storage and diff them to catch stack changes automatically. For a deeper look at how Apify’s scheduling and orchestration works, see the full Apify platform overview.

Example workflow: Find 500 SaaS companies using HubSpot CMS

  1. Build a URL list from a target company database (Apollo, LinkedIn Sales Navigator export, or a scraped industry directory).
  2. Run Website Tech Stack Detector against all 500 URLs. At $3 per 1,000 analyzed websites, this costs about $1.50.
  3. Download results as CSV.
  4. Filter rows where the technologies field contains HubSpot CMS.
  5. Export filtered list to your CRM as a new prospect segment tagged hubspot-cms-user.
  6. Trigger a personalized email sequence referencing their current CMS.

Total scan cost: about $1.50. Total time: under an hour, most of which is list preparation.


Output Format

Each scanned URL returns a structured JSON object:

{
 "url": "https://example.com",
 "domain": "example.com",
 "technologies": [
 {
 "name": "WordPress",
 "category": "CMS",
 "version": "6.4",
 "confidence": 100
 },
 {
 "name": "Google Analytics 4",
 "category": "Analytics",
 "confidence": 95
 },
 {
 "name": "Cloudflare",
 "category": "CDN",
 "confidence": 100
 }
 ],
 "scannedAt": "2026-04-01T08:00:00Z"
}

Each technology entry includes a confidence score from 0 to 100. High-confidence detections (above 90) are based on definitive fingerprints, specific HTTP headers, HTML patterns, or JavaScript signatures. Lower-confidence detections are probabilistic and should be treated as signals rather than confirmed facts.

The full dataset exports to CSV, JSON Lines, or Excel. Column structure is consistent across all scans, making aggregation straightforward.


Pricing Comparison: Website Tech Stack Detector vs. BuiltWith vs. Wappalyzer

ToolFree TierPaid PlansAPI AccessBulk Lookup
Website Tech Stack DetectorYes (Apify free tier)From $3 per 1,000 analyzed websitesYes, full APIYes, unlimited
BuiltWith1 lookup/day$295-$995/monthPaid plans onlyPro/Enterprise
WappalyzerBrowser extension$250/month (API)$250/month planAPI plan required
SimilarTechVery limited$299+/monthEnterprise onlyEnterprise only

The cost difference is significant at scale. Running 10,000 lookups per month costs about $30 with Website Tech Stack Detector. The equivalent lookup volume on BuiltWith or Wappalyzer’s paid API plans can require a $250-$995 per month subscription tier depending on access needs.

The trade-off is that subscription tools like BuiltWith maintain historical data, you can see a site’s technology history over years, not just its current stack. For point-in-time analysis and bulk prospecting, Website Tech Stack Detector is dramatically more cost-effective. For historical trend analysis across large datasets, BuiltWith’s database depth has value. For the full decision framework, see the BuiltWith alternative API comparison.


Limitations to Know Before You Run

JavaScript-heavy single-page applications can partially evade detection. Technologies loaded asynchronously after page render may not appear in results if the actor’s browser automation does not wait long enough. The actor handles most cases correctly, but complex SPAs occasionally return incomplete results.

Obfuscated or minified code reduces detection confidence. Sites that deliberately fingerprint-proof their stack (common in high-security fintech and government sites) will return fewer detected technologies. Confidence scores will be lower.

Rate limits and bot protection on some sites may block scans entirely. Sites behind aggressive Cloudflare Bot Management or similar protection may return errors rather than technology lists. Rotating proxies (available in Apify’s proxy pool) reduce this, but cannot eliminate it.

Detection lag on new technologies. The fingerprint database updates regularly, but a brand-new framework or obscure tool may not be in the detection library yet. Coverage is excellent for established technologies; cutting-edge or niche tools may be missed.

IP reputation on heavily monitored sites. High-traffic news sites, financial platforms, and major ecommerce stores actively monitor for scraping patterns. Running bulk scans against a single domain repeatedly is more likely to trigger blocks than scanning many different domains once each.


Who Should Use This Actor

Website Tech Stack Detector is the right tool if:

  • You need to scan more than a few URLs per month and do not want a $250+ monthly subscription
  • You are building a sales prospecting workflow based on technology signals
  • You want to audit competitor stacks or track stack changes over time
  • You are doing market research on technology adoption across a vertical
  • You want API access to integrate tech detection into your own tools or CRM

It is not the right tool if you need deep historical technology timelines (use BuiltWith) or if you need a browser extension for quick one-off checks while browsing (use the free Wappalyzer extension).

For teams already using Apify for other data tasks, SERP monitoring, lead generation, social scraping, adding tech stack detection is a zero-setup addition. The actor runs in the same environment, uses the same billing, and outputs to the same dataset infrastructure. If you are new to Apify, the platform overview covers how actors, datasets, and the API work together. Learn how tech stack detection fits into competitive intelligence and go-to-market strategy. Also see B2B marketing for sales prospecting workflows.


FAQ

How does this compare to Wappalyzer?

Wappalyzer’s browser extension is free and works for quick manual lookups (1 at a time). Its API plan costs $250/month. Website Tech Stack Detector costs $0.75 per 1,000 scans with no monthly minimum. For bulk scanning (100+ URLs), Detector is 50-100x cheaper. For occasional manual checks while browsing, Wappalyzer’s extension is more convenient.

How accurate is the technology detection?

Detection accuracy depends on how openly a site exposes technology fingerprints. Well-documented tech with obvious signatures (WordPress, React, Google Analytics) detects at 95%+ confidence. Newer or obfuscated technologies detect with lower confidence (60-90%). Each result includes a confidence score, so you can filter by certainty.

Can I detect technologies on sites behind authentication?

Only what’s visible to unauthenticated requests. If a technology signature is only visible after login, the scraper won’t see it. For most tech stacks (CDN, CMS, analytics), signatures are public.

How often are the fingerprint databases updated?

The detection engine draws from continuously updated databases. New technologies and framework versions are added regularly. Cutting-edge frameworks may have a lag of weeks or months before appearing in the detection library.

Can I integrate results with my CRM automatically?

Yes. Export as CSV and import directly, or use Zapier/Make for automated imports to HubSpot, Pipedrive, or Salesforce. The JSON output also works programmatically via API.

What if a site uses multiple CMS or analytics platforms?

The actor returns all detected technologies. Some sites run WordPress (CMS) with HubSpot Forms (lead gen) and Mixpanel (analytics). All three appear in the results as separate entries with individual confidence scores.

Last verified: April 2026

The actor is available at apify.com/tugelbay/website-tech-stack-detector. An Apify account is required. The free tier includes enough compute credits to run several hundred test scans before any payment is needed.

Start with a small batch, 10 to 20 URLs from your target account list. Review the output structure, identify which technology signals matter for your use case, then build the filtering and export workflow before running the full list. From $3 per 1,000 analyzed websites, the cost of experimentation is still low enough to validate a workflow before committing to a subscription tool.

Last verified: March 2026

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