Does it capture visual assets or just text?

It captures both. The skill extracts the ad copy, headlines, and CTAs while also saving screenshots of the visual creative for your reference library.

What kind of insights does the analysis provide?

The analysis identifies core themes, recurring hooks, successful visual patterns (like before/after splits), and specific audience targeting indicators based on ad variations.

Which ad platforms can this skill extract from?

The skill is designed to work with major ad libraries including the Facebook Ad Library and LinkedIn, allowing for cross-platform competitive analysis.

Can I compare multiple competitors at once?

Yes, the skill supports multi-competitor workflows, enabling you to identify industry-wide patterns and see how different brands position themselves against the same pain points.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: bigadamknight

bybigadamknight

Web Scraping & Data Collection

Extracts and analyzes competitor advertisements from major ad libraries to provide actionable messaging and creative insights.

About

The Competitive Ads Extractor is a specialized Claude Code skill designed for market research and campaign optimization. It automates the process of scraping ad libraries like Facebook and LinkedIn, capturing creative screenshots, and performing deep semantic analysis on competitor messaging. By identifying successful patterns in pain points, value propositions, and visual hooks, it helps marketing and product teams deconstruct winning strategies and apply proven concepts to their own campaigns without the need for manual data collection.

Key Features

Thematic analysis of messaging, pain points, and value propositions
Visual screenshot capture and organization of ad creatives
Generation of comprehensive markdown reports and data exports
Pattern identification for high-performing copy and visual layouts
0 GitHub stars
Automated scraping of Facebook and LinkedIn Ad Libraries

Use Cases

Generating inspiration for new ad creative and copywriting variations
Researching competitor market positioning and seasonal ad strategies
Benchmarking industry-standard messaging for specific customer personas

About

Key Features

Thematic analysis of messaging, pain points, and value propositions
Visual screenshot capture and organization of ad creatives
Generation of comprehensive markdown reports and data exports
Pattern identification for high-performing copy and visual layouts
0 GitHub stars
Automated scraping of Facebook and LinkedIn Ad Libraries

Use Cases

Generating inspiration for new ad creative and copywriting variations
Researching competitor market positioning and seasonal ad strategies
Benchmarking industry-standard messaging for specific customer personas