Can I analyze multiple competitors at the same time?

Absolutely. You can provide a list of competitor names, and the skill will perform a comparative analysis, highlighting common patterns and differences.

Does the skill save the actual images of the ads?

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

Which platforms does the Competitive Ads Extractor support?

It primarily supports the Facebook Ad Library and LinkedIn, but it can be adapted for other major ad platforms where public libraries are available.

Is this skill used for copying competitor ads?

No. The skill is designed for research and inspiration. It helps you understand what works in your market so you can create more effective, original content.

What kind of insights does the messaging analysis provide?

It identifies core themes, specific customer pain points mentioned, value propositions, tone of voice, and the primary call-to-action (CTA) patterns used.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: frostant

byfrostant

•

Web Scraping & Data Collection

Extracts and analyzes competitor advertisements from platforms like Facebook and LinkedIn to provide strategic messaging and creative insights.

About

The Competitive Ads Extractor skill empowers marketers and researchers to systematically gather intelligence from competitor ad libraries. By automating the extraction of ad copy, visual creative, and positioning strategies, it provides a deep-dive analysis of what resonates in the market. This skill helps users identify successful messaging patterns, discover underserved customer pain points, and benchmark their own creative strategy against industry leaders, making it an essential tool for campaign planning and market positioning.

Key Features

In-depth messaging analysis identifying value props and pain points
1 GitHub stars
Automated scraping of Facebook Ad Library and LinkedIn ads
Visual capture and archiving of ad creative screenshots
Pattern recognition across high-performing ad formats and copy styles
Comparative benchmarking across multiple competitors simultaneously

Use Cases

Identifying successful B2B positioning strategies and industry benchmarks
Researching competitor messaging to identify unique market positioning
Finding visual and copy inspiration for new advertising campaigns

About

Key Features

In-depth messaging analysis identifying value props and pain points
1 GitHub stars
Automated scraping of Facebook Ad Library and LinkedIn ads
Visual capture and archiving of ad creative screenshots
Pattern recognition across high-performing ad formats and copy styles
Comparative benchmarking across multiple competitors simultaneously

Use Cases

Identifying successful B2B positioning strategies and industry benchmarks
Researching competitor messaging to identify unique market positioning
Finding visual and copy inspiration for new advertising campaigns