Which platforms can this skill extract ads from?

The skill is designed to scrape ads from major public repositories including the Facebook Ad Library and LinkedIn, allowing for comprehensive cross-platform research.

How does it help improve my own ad copy?

It breaks down competitor copy into themes, identifying which problems they highlight most frequently and which headlines appear to be their core performance drivers.

Can it compare multiple competitors at once?

Absolutely. You can provide a list of competitors, and the skill will perform a comparative analysis to show where their strategies overlap and where you can find unique positioning.

Does it save visual copies of the ads?

Yes, it automatically captures screenshots of the ads and organizes them into a structured directory for your visual reference and pattern analysis.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: Tako3832

byTako3832

0•

Marketing Automation

Analyzes competitor ad libraries to extract messaging patterns, creative strategies, and market positioning insights.

The Competitive Ads Extractor is a specialized Claude Code skill designed to automate the research phase of ad campaign development. By scraping platforms like Facebook and LinkedIn Ad Libraries, it captures visual creatives, analyzes copy for underlying pain points and value propositions, and identifies successful messaging patterns. This tool is essential for marketers and founders who want to benchmark their strategies against industry leaders, uncover underserved market angles, and optimize their creative assets based on proven competitor successes without manual data entry.

Key Features

010 GitHub stars

02Competitive positioning reports and strategic recommendations

03Pattern recognition for high-performing creative layouts

04Deep copy analysis for pain points and value propositions

05Automated ad scraping from Facebook and LinkedIn libraries

06Visual screenshot capture and organized storage

Use Cases

01Benchmarking B2B positioning on LinkedIn versus B2C approaches on Facebook

02Identifying market gaps and underserved customer pain points in niche industries

03Researching competitor ad strategies for campaign planning and inspiration

Key Features

010 GitHub stars

02Competitive positioning reports and strategic recommendations

03Pattern recognition for high-performing creative layouts

04Deep copy analysis for pain points and value propositions

05Automated ad scraping from Facebook and LinkedIn libraries

06Visual screenshot capture and organized storage

Use Cases

01Benchmarking B2B positioning on LinkedIn versus B2C approaches on Facebook

02Identifying market gaps and underserved customer pain points in niche industries

03Researching competitor ad strategies for campaign planning and inspiration