Which ad platforms does this skill support?

The skill is primarily optimized for the Facebook (Meta) Ad Library and LinkedIn, but can be adapted for other public ad repositories.

Does it download the images or just the text?

It captures both. The skill extracts the ad copy, headlines, and CTAs while also saving visual screenshots to a local directory for your reference.

How does it help with my own ad strategy?

Beyond data extraction, it provides a 'Recommendations' section that suggests specific hooks, visual formats, and messaging angles based on what is currently working for your competitors.

Can I compare multiple competitors at once?

Yes, you can provide a list of competitors, and the skill will perform a multi-competitor analysis to identify common industry patterns and unique differentiators.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: nordeim

bynordeim

Web Scraping & Data Collection

Scrapes and analyzes competitor advertisements from major ad libraries to uncover successful messaging, creative patterns, and market positioning.

About

The Competitive Ads Extractor is a specialized Claude Code skill designed to streamline competitive intelligence for marketers and growth teams. It automates the process of extracting ads from platforms like Facebook and LinkedIn Ad Libraries, captures visual assets, and applies structured analysis to identify the specific problems, use cases, and value propositions competitors are highlighting. By turning raw ad data into actionable insights, it helps teams find creative inspiration, understand market gaps, and build more effective, data-driven ad campaigns.

Key Features

Automated scraping of Facebook and LinkedIn Ad Libraries
AI-driven analysis of messaging patterns and pain points
0 GitHub stars
High-resolution screenshot capture of active ad creatives
Actionable recommendations for original ad creative and copy
Competitive benchmarking across multiple brand sets

Use Cases

Researching competitor positioning and messaging strategies
Finding creative inspiration and visual patterns for new campaigns
Identifying underserved customer pain points and market opportunities

About

Key Features

Automated scraping of Facebook and LinkedIn Ad Libraries
AI-driven analysis of messaging patterns and pain points
0 GitHub stars
High-resolution screenshot capture of active ad creatives
Actionable recommendations for original ad creative and copy
Competitive benchmarking across multiple brand sets

Use Cases

Researching competitor positioning and messaging strategies
Finding creative inspiration and visual patterns for new campaigns
Identifying underserved customer pain points and market opportunities