🌐 Tech Stack Detector — Website Technology Lookup

Identify the software behind a list of websites for prospecting, account qualification, competitive research, and market mapping. Each result names the detected technologies, groups them by category, and includes the exact public signal behind every match.

The bundled fingerprint set covers 255 named technologies across CMS, ecommerce, JavaScript and web frameworks, analytics, advertising, marketing automation, payments, hosting, CDNs, security, databases, and other web infrastructure. That is the actual locally bundled count—not a claim of thousands of rules.

Output is one tech_stack_record row per result; billing is pay-per-event, the value event being one website analyzed (a $0.02 start fee per run, then $0.04 per website analyzed).

📊 Sample Output

Real rows from run C6ozFb4nVSTrnkvyv on build 0.2.4 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

url	final_url	status_code	server	analyzed_at	source_attribution
https://www.shopify.com	https://www.shopify.com	200	cloudflare	2026-09-17T17:54:29.435024+00:00	derived from the target website's own public HTTP response

The run finished with the status message: NORMAL: emitted 1 item(s)

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

• record_type (string) — e.g. tech_stack_record
• url (string/null) — e.g. https://www.shopify.com
• final_url (string/null) — e.g. https://www.shopify.com
• status_code (integer/null) — e.g. 200
• page_title (string/null) — e.g. Shopify: The All-in-One Commerce Platform for Businesses - Shopify
• server (string/null) — e.g. cloudflare
• technologies (array/null) — e.g. [{"name": "Bootstrap", "category": "UI Frameworks", "evidence": "markup /class=\
• categories (object/null) — e.g. {"UI Frameworks": ["Bootstrap"], "CDN": ["Cloudflare"], "Analytics": ["Google An
• technology_count (integer/null) — e.g. 11
• record_key (string/null) — e.g. https://www.shopify.com
• analyzed_at (string/null) — e.g. 2026-09-17T17:54:29.435024+00:00
• source_attribution — e.g. derived from the target website's own public HTTP response
• third_party_content — e.g. technology names are factual identifications from public fingerprints; no third-
• detection_note (string/null) — e.g. detected from public response headers, Set-Cookie names (values never read), ref

Output

Each tech_stack_record contains:

• requested and final URL, HTTP status, page title, and reported server
• technologies: name, category, exact evidence, and whether the technology was inferred
• categories: a category-to-technology roll-up
• technology_count, stable record_key, and analysis timestamp

The detector reads the website's public logged-out HTTP response: response headers, Set-Cookie names (never values), referenced script/link/image/form URLs, generator metadata, and page markup. It does not execute JavaScript or claim browser-DOM, DNS, certificate, XHR, or active-probe coverage.

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
  "urls": [
    "https://www.shopify.com"
  ],
  "maxUrls": 1
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.04 tech_stack_record = $0.06 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
  "urls": [
    "https://www.shopify.com"
  ],
  "maxUrls": 1
}

A bounded run for checking the field shape before scheduling.

3. A full-size run

{
  "urls": [
    "https://www.shopify.com"
  ],
  "maxUrls": 1
}

The same input run on a schedule; each run is billed only for what it delivers.

🧾 JSON sample record

One real record from run C6ozFb4nVSTrnkvyv, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "tech_stack_record",
  "schema_version": "1.0",
  "url": "https://www.shopify.com",
  "final_url": "https://www.shopify.com",
  "status_code": 200,
  "page_title": "Shopify: The All-in-One Commerce Platform for Businesses - Shopify",
  "server": "cloudflare",
  "technologies": [
    {
      "name": "Bootstrap",
      "category": "UI Frameworks",
      "evidence": "markup /class=\"(?:container(?:-fluid)?|navbar|btn btn-)[^\"/",
      "inferred": false
    },
    {
      "name": "Cloudflare",
      "category": "CDN",
      "evidence": "header cf-ray: a3c9f9e32c853c2f-IAD",
      "inferred": false
    },
    {
      "name": "Google Analytics 4",
      "category": "Analytics",
      "evidence": "markup /G-[A-Z0-9]{10}/",
      "inferred": false
    },
    {
      "name": "HSTS",
      "category": "Security",
      "evidence": "header strict-transport-security: max-age=15552000; includeSubDomains; preload",
      "inferred": false
    },
    {
      "name": "HTTP/3",
      "category": "Miscellaneous",
      "evidence": "header alt-svc: h3=\":443\"; ma=86400",
      "inferred": false
    },
    {
      "name": "Open Graph",
      "category": "Miscellaneous",
      "evidence": "markup /<meta[^>]+property=[\"']og:/",
      "inferred": false
    },
    {
      "name": "Schema.org",
      "category": "Miscellaneous",
      "evidence": "markup /<script[^>]+type=[\"']application/ld\\+json/",
      "inferred": false
    },
    {
      "name": "Shopify",
      "category": "Ecommerce",
      "evidence": "resource https://cdn.shopify.com",
      "inferred": false
    },
    {
      "name": "Twitter Card",
      "category": "Miscellaneous",
      "evidence": "markup /<meta[^>]+name=[\"']twitter:card/",
      "inferred": false
    },
    {
      "name": "Liquid",
      "category": "Templating",
      "evidence": "implied by a detected technology",
      "inferred": true
    },
    {
      "name": "Ruby",
      "category": "Programming Languages",
      "evidence": "implied by a detected technology",
      "inferred": true
    }
  ],
  "categories": {
    "UI Frameworks": [
      "Bootstrap"
    ],
    "CDN": [
      "Cloudflare"
    ],
    "Analytics": [
      "Google Analytics 4"
    ],
    "Security": [
      "HSTS"
    ],
    "Miscellaneous": [
      "HTTP/3",
      "Open Graph",
      "Schema.org",
      "Twitter Card"
    ],
    "Ecommerce": [
      "Shopify"
    ],
    "Templating": [
      "Liquid"
    ],
    "Programming Languages": [
      "Ruby"
    ]
  },
  "technology_count": 11,
  "record_key": "https://www.shopify.com",
  "analyzed_at": "2026-09-17T17:54:29.435024+00:00",
  "source_attribution": "derived from the target website's own public HTTP response",
  "third_party_content": "technology names are factual identifications from public fingerprints; no third-party content is reproduced",
  "detection_note": "detected from public response headers, Set-Cookie names (values never read), referenced resource URLs, and page markup; 255 technologies in the fingerprint set"
}

🔧 How it works

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each website analyzed is charged at the moment it is pushed (tech_stack_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

Billing

The platform charges a $0.02 Actor start. A tech_stack_record event is $0.04 at the base tier and is charged only when at least one supported technology is detected and its record is delivered. Volume tiers reduce the event price. A blocked or faulted fetch, or a successfully fetched page with no supported fingerprint match, does not incur the record charge.

Detection quality

Direct matches retain the exact header, cookie name, referenced URL, generator value, or markup pattern that produced them. Technologies inferred from another reliable match are explicitly labeled inferred. The 255-name catalog combines the Actor's original high-confidence rules with the publisher's existing WebAppAnalyzer-derived bundled rule asset; see THIRD_PARTY_NOTICES.md for provenance and license details.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Website analyzed (tech_stack_record)	$0.04	$0.04	$0.03	$0.03

Worked at the live Free-tier price:

• 1 website analyzeds: $0.02 start + 1 × $0.04 = $0.06
• 25 website analyzeds: $0.02 start + 25 × $0.04 = $1.02
• 100 website analyzeds: $0.02 start + 100 × $0.04 = $4.02

A run that delivers zero rows charges the $0.02 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: emitted 1 item(s).

⚖️ Legal & ToS

This actor reads public data only. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other web QA and enrichment tools actors?
A: Same output shape and billing model; this one covers Tech Stack Detector — Website Technology Lookup. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

• Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
• Fewer rows than expected → the source had fewer items in scope → widen the input.
• Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
• Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

🔗 Related Actors

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• Tech Stack Enricher — Give it a list of company domains; it returns one CRM-ready record per domain describing
• Website Brand Kit API — Extracts a full brand system from a domain — logos, favicons, declared and pixel-derived colors, font declarations, theme color and social share imag…
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• 🏢 About NexGenData — NexGen Watch is NexGenData's fleet of 256 public monitoring and lookup actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

⭐ Found this useful?

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