Does it capture images or just text?

It captures both. The skill saves high-quality screenshots of the visual creative while simultaneously extracting and analyzing the headline, body copy, and call-to-action text.

How does the messaging analysis work?

The skill uses AI to identify recurring themes, specific pain points being targeted, and the psychological triggers used in the copy to provide a summary of why certain ads likely perform well.

Can I use this for multi-competitor comparisons?

Yes, you can provide a list of multiple competitors, and the skill will generate a comparative analysis highlighting shared patterns and unique differentiators between them.

Which platforms does the Competitive Ads Extractor support?

The skill is designed to support major ad repositories including the Facebook Ad Library and LinkedIn, allowing for a broad view of both B2C and B2B competitive landscapes.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: QuyDatSadBoy

byQuyDatSadBoy

Web Scraping & Data Collection

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

About

The Competitive Ads Extractor is a specialized tool for marketing researchers and growth engineers that automates the collection and analysis of competitor ad campaigns. By extracting data from platforms like the Facebook Ad Library and LinkedIn, it identifies the specific pain points, use cases, and visual strategies that rivals are using to capture market share. This skill helps teams move beyond guesswork by providing data-driven insights into what resonates with audiences, enabling the creation of high-performing, proven ad concepts for your own campaigns.

Key Features

Automated scraping of Facebook and LinkedIn Ad Libraries
Deep messaging analysis to extract pain points and value propositions
Pattern recognition for successful headlines and CTA styles
Comprehensive markdown reports and categorized pattern libraries
0 GitHub stars
Visual capture and archiving of ad creative via screenshots

Use Cases

Optimizing ad copy and creative based on proven industry benchmarks
Conducting deep competitor research for new product launches
Mapping market positioning and identifying underserved messaging gaps

About

Key Features

Automated scraping of Facebook and LinkedIn Ad Libraries
Deep messaging analysis to extract pain points and value propositions
Pattern recognition for successful headlines and CTA styles
Comprehensive markdown reports and categorized pattern libraries
0 GitHub stars
Visual capture and archiving of ad creative via screenshots

Use Cases

Optimizing ad copy and creative based on proven industry benchmarks
Conducting deep competitor research for new product launches
Mapping market positioning and identifying underserved messaging gaps