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.
npx gooseworks install --claude # Then in your agent: /gooseworks <prompt> --skill landing-page-intel
Extract GTM-relevant intelligence from any company's landing page by scraping its HTML source.
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| 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 |
| 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 |
Free. No API keys required. Uses only HTTP requests to fetch public HTML.
Diagnose Meta Ads campaign performance using Meta's actual system mechanics — Breakdown Effect, Learning Phase, Auction Overlap, Pacing, and Creative Fatigue — and produce structured, testable recommendations that avoid judging segments by average CPA instead of marginal efficiency.
Pre-flight policy check for Meta ads. Takes ad copy plus advertiser context, resolves and fetches the relevant Meta transparency-center policy pages at runtime, and returns a Pass / Fix Required / Block verdict with cited findings and rewrites.
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.