Does it require manual data entry?

No, the skill automates the extraction process using browser-based interactions to find and compile data directly from the source libraries.

Which ad platforms does this skill support?

This skill primarily extracts data from the Facebook Ad Library and LinkedIn, with the ability to adapt to other publicly accessible ad repositories.

Can I use this for multiple competitors at once?

Absolutely. You can provide a list of competitors to perform cross-company analysis and identify industry-wide trends and commonalities.

How does it help with improving my ad copy?

It analyzes the text of successful ads to extract common headlines, body copy patterns, and specific emotional triggers that drive target audience engagement.

Does it provide visual copies of the ads?

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

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: MonIKaMR25

byMonIKaMR25

Automatización de Marketing

Extracts and analyzes competitor advertisements from platforms like Facebook and LinkedIn to uncover winning messaging and creative strategies.

Acerca de

The Competitive Ads Extractor is a specialized Claude Code skill designed for marketers and product managers to conduct automated competitive research. It scrapes active ads from major platforms, captures visual screenshots, and performs deep linguistic and visual analysis to identify successful messaging patterns, pain points, and conversion-focused CTAs. By synthesizing data from multiple competitors, it provides actionable insights and creative recommendations, allowing teams to skip the trial-and-error phase of ad campaign planning and focus on proven concepts that resonate with their target audience.

Características Principales

Semantic analysis of ad copy to identify pain points and value propositions
Detailed reporting with categorized insights and actionable creative recommendations
Automated ad scraping from Facebook Ad Library and LinkedIn
Pattern recognition across competitors to establish industry benchmarks
0 GitHub stars
Visual capture and archiving of creative assets and screenshots

Casos de Uso

Conducting deep competitive market research during campaign planning
Identifying underserved messaging angles and common customer pain points
Generating creative inspiration for new visual and copy variations

Acerca de

Características Principales

Semantic analysis of ad copy to identify pain points and value propositions
Detailed reporting with categorized insights and actionable creative recommendations
Automated ad scraping from Facebook Ad Library and LinkedIn
Pattern recognition across competitors to establish industry benchmarks
0 GitHub stars
Visual capture and archiving of creative assets and screenshots

Casos de Uso

Conducting deep competitive market research during campaign planning
Identifying underserved messaging angles and common customer pain points
Generating creative inspiration for new visual and copy variations