Skip to content
cccskills
FreePublished on GitHub

landing-page-intel

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.

The English summary is being prepared. Showing the original description.

Works withX (Twitter)

Run score Not tested

See how to install

Files included (3)

  • SKILL.md3.0 KB
  • scripts/scrape_landing_page.py23.4 KB
  • skill.meta.json268 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

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.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

The English summary is being prepared. Showing the original description.

gooseworks-ai/goose-skills1.3KUpdated Oct 24, 2026

See all skills by gooseworks-ai

Report a problem with this skill