Landing Page Intel Agent Skill
> Extract competitor and customer intelligence from any company's landing page HTML. Discovers tech stack, analytics tools, ad pixels, customer logos, SEO metadata, CTAs, hidden elements, and more. No API keys required.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/gooseworks-ai/goose-skills --skill landing-page-intelWhat comes with it
24 259 bytes besides the instructionThe instruction itself
6 sections, as written by the authorLanding 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
| Category | Details |
|----------|---------|
| Tech Stack | Analytics (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 Pixels | Meta Pixel, Google Ads, LinkedIn Insight Tag, TikTok pixel, Twitter pixel |
| Customer Logos | Image URLs from "trusted by" / logo carousel sections, grouped by directory |
| SEO Metadata | Title, meta description, Open Graph tags, Twitter Cards, canonical URL, structured data (JSON-LD), hreflang tags |
| CTAs & Sales Motion | All CTA button text and links — reveals PLG vs sales-led motion |
| Social Proof | Testimonials, customer counts, case study links, badge images |
| Integrations | Links to integration/partner pages, embedded third-party widgets |
| Hidden Elements | Content in display:none, hidden, or HTML comments that may reveal upcoming features |
| Infrastructure | CMS platform (Webflow, WordPress, Next.js, etc.), detected from HTML signatures |
CLI Reference
| Flag | Default | Description |
|------|---------|-------------|
| --url | *required* | Target website URL |
| --pages | / | Comma-separated paths to scan (e.g., /,/pricing,/about) |
| --output | json | Output format: json or summary |
| --timeout | 15 | Request 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.
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How to use it
Take gooseworks-ai/landing-page-intel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.