Landing page intel
Quick answer
- 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.
Add this skill
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.
$ npx skills add gooseworks-ai/goose-skills --skill landing-page-intelSkill instructions
The instruction file for this skill. The skill also includes other files you need to install to use it.
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
| 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.
Common questions
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.
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