Landing page intel

01What is it?
Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source. It stands out by giving conversion optimization a defined shape, so the agent asks for better context and returns a more usable result.
02Inputs
Context for conversion optimization: your goals, audience, constraints, and any source material the skill asks for.
03Output
A ready-to-use result for conversion optimization: the analysis, copy, or recommendations the agent produces.
Install-only

Install as a package

Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.

Terminal
$ npx skills add gooseworks-ai/goose-skills --skill landing-page-intel

Skill instructions

The instruction file for this skill. The skill also includes other files you need to install to use it.

SKILL.md

Landing Page Intel

Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source.

Quick Start

Only dependency is pip install requests. No API key needed.

# Basic scan of a single URL
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
  --url "https://example.com"

# Scan multiple pages of the same site
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
  --url "https://example.com" --pages "/,/pricing,/about"

# Output as summary table instead of JSON
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
  --url "https://example.com" --output summary

# Save full report to file
python3 skills/landing-page-intel/scripts/scrape_landing_page.py \
  --url "https://example.com" --output json > report.json

What It Extracts

CategoryDetails
Tech StackAnalytics (GA4, Mixpanel, Amplitude, PostHog, Heap), marketing automation (HubSpot, Marketo, Pardot), chat widgets (Intercom, Drift, Crisp, Zendesk), A/B testing (Optimizely, VWO, LaunchDarkly), session recording (Hotjar, FullStory, LogRocket), CDPs (Segment, Clearbit, 6sense)
Ad PixelsMeta Pixel, Google Ads, LinkedIn Insight Tag, TikTok pixel, Twitter pixel
Customer LogosImage URLs from "trusted by" / logo carousel sections, grouped by directory
SEO MetadataTitle, meta description, Open Graph tags, Twitter Cards, canonical URL, structured data (JSON-LD), hreflang tags
CTAs & Sales MotionAll CTA button text and links — reveals PLG vs sales-led motion
Social ProofTestimonials, customer counts, case study links, badge images
IntegrationsLinks to integration/partner pages, embedded third-party widgets
Hidden ElementsContent in display:none, hidden, or HTML comments that may reveal upcoming features
InfrastructureCMS platform (Webflow, WordPress, Next.js, etc.), detected from HTML signatures

CLI Reference

FlagDefaultDescription
--urlrequiredTarget website URL
--pages/Comma-separated paths to scan (e.g., /,/pricing,/about)
--outputjsonOutput format: json or summary
--timeout15Request timeout in seconds

GTM Use Cases

  • Competitive intel: See what tools competitors use, how they position, who their customers are
  • Prospect research: Before a sales call, scan a prospect's site to understand their stack and maturity
  • Market mapping: Scan multiple competitors to compare positioning, customer segments, and GTM motions
  • Customer discovery: Extract competitor customer logos as potential prospects for your own product

Cost

Free. No API keys required. Uses only HTTP requests to fetch public HTML.

How do I install Landing page intel in Cursor, Claude Code, or Codex?

Run npx skills add gooseworks-ai/goose-skills --skill landing-page-intel in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Landing page intel, not every skill in the repository.

Where does Landing page intel come from and what license is it under?

Landing page intel comes from the gooseworks-ai/goose-skills repository on GitHub. That repository has 912 GitHub stars. The skill is published under the MIT license.

Prefer plain text? Read the Landing page intel guide as markdown.