How does it help with ad copywriting?

The skill analyzes competitor headlines and body copy to identify recurring themes and successful emotional triggers, helping you draft more effective original copy.

Does this skill capture the visual elements of ads?

Yes, it automatically captures and saves screenshots of advertisements, allowing you to analyze visual layouts, color schemes, and branding strategies.

Which platforms does the Competitive Ads Extractor support?

The skill is designed to extract and analyze data from major public ad repositories, specifically the Facebook Ad Library and LinkedIn.

Can I compare multiple competitors at once?

Absolutely. You can run multi-competitor workflows to see how different brands in your industry are positioning themselves against one another.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: thanhinfore

bythanhinfore

营销自动化

Extracts and analyzes competitor advertisements from major platforms to provide actionable marketing insights and creative inspiration.

关于

The Competitive Ads Extractor is a specialized intelligence tool that automates the gathering of competitor data from platforms like the Facebook Ad Library and LinkedIn. It goes beyond simple scraping by performing deep thematic analysis to identify successful messaging patterns, specific pain points targeted by rivals, and high-performing creative formats. This skill is essential for growth teams and marketers looking to audit market positioning, discover new use cases, and build data-driven ad campaigns based on proven industry successes.

主要功能

High-quality screenshot capture of active ad creatives
AI-driven analysis of messaging, value props, and pain points
Automated ad extraction from Facebook Ad Library and LinkedIn
Pattern recognition to identify successful copy and visual trends
0 GitHub stars
Categorization of ads by theme, audience, and format

使用场景

Identifying market gaps and underserved pain points in competitor messaging
Building an inspiration library of high-performing visual and copy patterns
Conducting deep competitor research before launching new marketing campaigns

关于

主要功能

High-quality screenshot capture of active ad creatives
AI-driven analysis of messaging, value props, and pain points
Automated ad extraction from Facebook Ad Library and LinkedIn
Pattern recognition to identify successful copy and visual trends
0 GitHub stars
Categorization of ads by theme, audience, and format

使用场景

Identifying market gaps and underserved pain points in competitor messaging
Building an inspiration library of high-performing visual and copy patterns
Conducting deep competitor research before launching new marketing campaigns