Can I use this to copy competitor ads?

No, the skill is designed for research, benchmarking, and inspiration. It is a best practice to use the generated insights to inform original creative work rather than plagiarizing copy or designs.

Does it save visual assets?

Yes, the skill captures and organizes screenshots of ads into local directories, making it easy to build a visual reference library of competitor creative.

Which platforms does this skill support?

This skill primarily supports major ad libraries including Facebook Ad Library and LinkedIn, allowing users to extract active campaigns from any public business page.

How does it analyze ad performance?

It identifies patterns in messaging frequency, common themes, and duration of active ads to infer which strategies and creative approaches are likely performing best for competitors.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: pur3v4d3r

bypur3v4d3r

•

Web Scraping & Data Collection

Extracts and analyzes competitor advertisements from major ad libraries to provide strategic insights into messaging and creative trends.

About

Competitive Ads Extractor is a specialized tool designed to streamline market research by automatically scraping live advertisements from platforms like Facebook and LinkedIn. It moves beyond simple data collection by capturing screenshots, identifying core messaging themes, and analyzing the specific value propositions used by competitors. Whether you are looking for creative inspiration, researching market positioning, or identifying customer pain points that resonate in your industry, this skill provides structured data and actionable recommendations to help you build more effective, data-driven ad campaigns.

Key Features

Messaging analysis to identify pain points and value propositions
1 GitHub stars
Visual capture and screenshot archiving for creative auditing
Comparative reporting across multiple competitors and timeframes
Pattern recognition for successful ad formats and copy structures
Automated ad extraction from Facebook Ad Library and LinkedIn

Use Cases

Finding creative inspiration and successful copy patterns
Researching competitor positioning and ad strategies
Identifying underserved market gaps and customer pain points

About

Key Features

Messaging analysis to identify pain points and value propositions
1 GitHub stars
Visual capture and screenshot archiving for creative auditing
Comparative reporting across multiple competitors and timeframes
Pattern recognition for successful ad formats and copy structures
Automated ad extraction from Facebook Ad Library and LinkedIn

Use Cases

Finding creative inspiration and successful copy patterns
Researching competitor positioning and ad strategies
Identifying underserved market gaps and customer pain points