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Website Tech Stack & SEO Snapshot

Pricing

Pay per usage

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Website Tech Stack & SEO Snapshot

Website Tech Stack & SEO Snapshot

Analyze websites for visible technology, SEO metadata, analytics tags, CMS/ecommerce signals, and lead-qualification gaps.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Ralph T

Ralph T

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

6 days ago

Last modified

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Analyze websites for visible technology, analytics/marketing tags, SEO metadata, and simple lead-qualification gaps.

What it does

  • Fetches one or more websites.
  • Extracts title, meta description, H1, canonical URL, and Open Graph coverage.
  • Detects visible technology signals such as WordPress, Shopify, Webflow, Wix, Squarespace, Next.js, React, HubSpot, Cloudflare, Vercel, Netlify, and common analytics tags.
  • Flags basic SEO issues.
  • Produces a simple leadScore and leadReasons array for agency prospecting.

Best for

  • Website audit lead lists.
  • Agency prospect qualification.
  • Enriching business URLs with tech/SEO signals.
  • Finding sites with missing analytics, missing metadata, or obvious modernization opportunities.

Input example

{
"startUrls": [
{ "url": "https://apify.com" },
{ "url": "https://example.com" }
],
"timeoutMs": 15000,
"maxUrls": 25,
"includeHtmlSignals": true
}

Output example

{
"url": "https://example.com",
"finalUrl": "https://example.com/",
"status": 200,
"title": "Example Domain",
"metaDescription": "",
"h1": "Example Domain",
"canonicalUrl": "https://example.com/",
"technologies": ["Cloudflare"],
"analytics": [],
"seoIssues": ["Missing meta description", "Missing Open Graph image"],
"leadScore": 40,
"leadReasons": ["Missing meta description", "No common analytics/marketing tag detected"],
"checkedAt": "2026-07-04T00:00:00.000Z"
}

Notes

  • This Actor detects visible front-end/header signals only. It is not a full Wappalyzer replacement.
  • Detection is heuristic and best used for triage, enrichment, and prospecting.
  • Keep batches small at first, inspect output, then scale up.