Does this skill capture the visual elements of the ads?

Yes, it automatically takes screenshots and saves visual copies of all ads to a local directory for design and creative review.

How does it analyze the messaging?

It uses Claude's reasoning capabilities to identify common themes, pain points, headlines, and call-to-actions that appear across competitor campaigns.

Can I compare multiple competitors at once?

Yes, you can provide a list of companies to generate a comparative analysis of their differing positioning and creative strategies.

Which platforms does the Competitive Ads Extractor support?

The skill primarily extracts data from the Facebook Ad Library and LinkedIn, but it can be adapted for other public ad repositories.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: prof-ramos

byprof-ramos

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웹 스크래핑 및 데이터 수집

Extracts and analyzes competitor advertising strategies from major ad libraries to optimize your own messaging and creative performance.

소개

The Competitive Ads Extractor is a specialized intelligence tool for Claude Code that automates the collection and analysis of competitor advertising data from platforms like the Facebook Ad Library and LinkedIn. It captures visual screenshots, identifies recurring messaging themes, evaluates value propositions, and uncovers successful creative patterns, enabling marketing and product teams to build data-driven campaigns inspired by proven market performance while identifying underserved market gaps.

주요 기능

Pattern recognition for high-performing copy and layout formats
Deep messaging analysis of pain points and value propositions
Comparative reporting across multiple competitors and industries
Visual capture and organized screenshot storage for creative review
Automated ad scraping from Facebook Ad Library and LinkedIn
1 GitHub stars

사용 사례

Identifying underserved customer pain points and market gaps
Finding creative inspiration for new ad campaign concepts
Researching competitor market positioning and messaging shifts

소개

주요 기능

Pattern recognition for high-performing copy and layout formats
Deep messaging analysis of pain points and value propositions
Comparative reporting across multiple competitors and industries
Visual capture and organized screenshot storage for creative review
Automated ad scraping from Facebook Ad Library and LinkedIn
1 GitHub stars

사용 사례

Identifying underserved customer pain points and market gaps
Finding creative inspiration for new ad campaign concepts
Researching competitor market positioning and messaging shifts