Public Website Tech Stack Signal Agent

Detect public website technology and tracking-stack signals from visible HTML evidence: frontend frameworks, CMS hints, analytics, ad pixels, tag managers, marketing automation, forms, chat tools, commerce platforms, payment hints, CDN/script hosts, and source snippets.

This Actor is built for AI sales agents, market research, technographic segmentation, competitive intelligence, and website QA workflows that need a compact evidence record without running a browser or scraping private platforms.

What It Returns

• Detected technologies with category, evidence type, evidence text, evidence URL, and confidence context.
• Category summaries for analytics, ad pixels, tag managers, frontend frameworks, CMS, marketing automation, chat/support, commerce, payment, CDN, and scheduling/forms.
• Script hosts and evidence snippets that explain why each tool was detected.
• Optional focus-tool matches, diagnostics, change status, and a stable stackHash.

Pricing Behavior

The Actor uses pay-per-event pricing and only charges the useful result event when it finds useful public technology-stack evidence.

It does not charge the useful event for:

• invalid or private-network URLs;
• failed fetches;
• pages with no technology signals;
• focus-tool misses;
• unchanged records when you pass a previous stackHash.

apify-default-dataset-item is intentionally not used.

Safety

• Public HTTP/HTTPS pages only.
• Private-network hosts, credentials, query strings, fragments, path parameters, and token-like account paths are rejected.
• JavaScript is not executed.
• External scripts, iframes, APIs, and pixels are not fetched; only visible HTML references are recorded.
• Output is evidence-based and does not infer hidden backend systems.

Example Input

{
  "startUrls": [
    "https://www.example.com"
  ],
  "focusTools": [
    "HubSpot",
    "React"
  ],
  "requestTimeoutSecs": 20
}

Best Use Cases

• Qualify companies by public technographic evidence before sales outreach.
• Identify websites using specific marketing, analytics, commerce, or payment tools.
• Monitor stack changes without paying for unchanged results.
• Feed AI agents structured evidence instead of raw HTML.