Is the analysis limited to just the ad copy?

No, it analyzes messaging, visual patterns, call-to-action effectiveness, and even infers target audience segments based on the ad variations found.

Does it save the actual ad images?

Yes, the skill captures and saves visual screenshots of all extracted ads to a local directory for visual reference and creative audits.

Can it compare multiple competitors at once?

Absolutely. You can provide a list of competitors, and the skill will perform a cross-brand analysis to identify industry-wide trends and unique differentiators.

What platforms does this skill support?

It primarily supports major social ad libraries including Facebook Ad Library and LinkedIn, with capabilities to expand to other visual ad platforms.

How do I use the extracted data for my own campaigns?

The skill provides a summarized analysis report with specific recommendations on pain points to test and copy formulas that are currently proving successful for your competitors.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: ammosu

byammosu

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웹 스크래핑 및 데이터 수집

Extracts and analyzes competitor advertising data from social ad libraries to identify high-performing messaging and creative patterns.

소개

The Competitive Ads Extractor skill empowers marketers and growth teams to gain a strategic edge by automating the research of competitor advertising strategies. It scrapes ad libraries like Facebook and LinkedIn, captures visual screenshots, and performs deep analysis on value propositions, pain points, and creative formats. By identifying proven patterns and messaging that resonates in specific markets, it helps users optimize their own ad spend and creative direction based on data-driven competitive intelligence.

주요 기능

Pattern recognition for successful headlines and CTA formats
Structured reporting with CSV, Markdown, and visual exports
1 GitHub stars
Deep messaging analysis to identify problems and value propositions
High-quality visual screenshot capture for creative analysis
Automated extraction from Facebook Ad Library and LinkedIn Ads

사용 사례

Finding inspiration for high-converting ad copy and visual creative
Researching competitor positioning and market messaging strategies
Identifying market gaps and underserved customer pain points

소개

주요 기능

Pattern recognition for successful headlines and CTA formats
Structured reporting with CSV, Markdown, and visual exports
1 GitHub stars
Deep messaging analysis to identify problems and value propositions
High-quality visual screenshot capture for creative analysis
Automated extraction from Facebook Ad Library and LinkedIn Ads

사용 사례

Finding inspiration for high-converting ad copy and visual creative
Researching competitor positioning and market messaging strategies
Identifying market gaps and underserved customer pain points