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landing-page-intel

Detects GTM-related signals in landing page HTML, extracting tech stack, analytics, ad pixels, CTAs, logos, metadata.

1.1k|200|Updated Mar 2, 2026
Search Tags:#gtm#web-scraping#tech-stack#landing-page#competitive-intelligence#seo-metadata#cta-analysis
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill landing-page-intel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: landing-page-intel
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/capabilities/landing-page-intel
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill landing-page-intel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

This Skill helps identify GTM-related signals from a landing page's HTML to surface actionable intelligence about tech stack, analytics, ad pixels, CTAs, logos, and SEO metadata.

Core Features & Use Cases

  • Detects analytics and marketing tech signatures on landing pages (GA4, GTM, Meta Pixel, LinkedIn pixels, etc.).
  • Extracts CTAs and potential sales motion cues to infer whether a site uses PLG or sales-led approaches.
  • Generates a structured report including integration links, logos, and SEO metadata to support prospect research and GTM mapping.

Quick Start

Run a scan against a landing page URL to obtain a structured intelligence report.

Frequently Asked Questions about landing-page-intel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract tech stack and ad pixels from a landing page?▼

You can detect analytics and marketing tech signatures on a landing page by scanning its HTML. This identifies tools like GA4, GTM, and Meta Pixel, returning a structured report of the detected tech stack and ad pixels.

How does landing page CTA analysis identify sales motion?▼

Landing page CTA analysis identifies sales motion by extracting call-to-action text and potential sales cues from HTML. This helps infer whether a company uses a product-led growth or sales-led approach based on the extracted signals.

Can I use Python requests for multi-page competitive intelligence scanning?▼

Yes, you can use Python requests for multi-page competitive intelligence scanning. The tool applies requests and HTML parsing to compare pages and identify patterns across domains for prospect research and GTM mapping.

What SEO metadata does a landing page scraper extract for prospect research?▼

A landing page scraper extracts SEO metadata, integration links, and logos to support prospect research and GTM mapping. This data is compiled into a structured report alongside detected tech categories and CTAs.

Does this landing page intelligence tool require a headless browser?▼

No, it does not require a headless browser. The tool uses the requests library and HTML parsing to identify signatures, fetching static HTML directly to surface tech stack and SEO metadata.

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