Is this skill ethical to use for research?

Yes, it is intended for research and inspiration. It helps you understand market trends to inform your own original creative work and should not be used for direct plagiarism of competitor assets.

Can I compare multiple competitors at once?

Absolutely. You can provide a list of competitors, and the skill will perform a multi-competitor analysis to highlight common patterns, unique angles, and industry benchmarks.

Which platforms are supported for ad extraction?

This skill primarily supports the Facebook Ad Library and LinkedIn, but it can be adapted for other major ad networks with publicly accessible digital libraries.

Does it save the actual images of the ads?

Yes, the skill captures visual screenshots of all extracted ads and saves them to a local directory organized by competitor name for your reference.

How does the messaging analysis work?

Claude analyzes the extracted text and visual content to identify key pain points, use cases, value propositions, and emotional triggers being used in the ads to help you understand what resonates with audiences.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: davepoon

bydavepoon

•

2,257

Web Scraping & Data Collection

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

About

The Competitive Ads Extractor is a specialized Claude Code skill designed to automate the process of researching competitor advertising strategies across platforms like Facebook and LinkedIn. It captures ad creative, analyzes messaging patterns, and identifies the core pain points competitors are targeting, allowing marketing teams and developers to benchmark their positioning, find creative inspiration, and refine their own campaign messaging with data-driven evidence. By transforming raw ad data into categorized insights and screenshots, it streamlines the competitive intelligence workflow for high-growth teams.

Key Features

Deep messaging analysis focusing on targeted problems and value propositions
Pattern identification for high-performing creative, copy, and CTAs
2,257 GitHub stars
Automated ad extraction from Facebook Ad Library and LinkedIn
Comparative reporting across multiple competitors to identify market gaps
Visual capture and storage of ad creative screenshots for local reference

Use Cases

Benchmarking market positioning against direct competitors in real-time
Generating creative and copy inspiration for new advertising campaigns
Analyzing messaging evolution and trend tracking over multiple quarters

About

Key Features

Deep messaging analysis focusing on targeted problems and value propositions
Pattern identification for high-performing creative, copy, and CTAs
2,257 GitHub stars
Automated ad extraction from Facebook Ad Library and LinkedIn
Comparative reporting across multiple competitors to identify market gaps
Visual capture and storage of ad creative screenshots for local reference

Use Cases

Benchmarking market positioning against direct competitors in real-time
Generating creative and copy inspiration for new advertising campaigns
Analyzing messaging evolution and trend tracking over multiple quarters