Does it save the actual images of the ads?

Yes, the skill automatically captures screenshots of the ads and saves them to organized local directories for your visual reference.

Is this useful for non-technical marketers?

Yes. While it runs as a Claude Code skill, the output is provided in user-friendly formats like Markdown reports, CSV spreadsheets, and visual folders.

Which platforms does the Competitive Ads Extractor support?

The skill is designed to work with major public ad repositories, specifically the Facebook Ad Library and LinkedIn, to gather competitive data.

Can I compare multiple competitors at once?

Absolutely. You can provide a list of competitors, and the skill will perform a comparative analysis to find common patterns or differentiators.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: eyadsibai

byeyadsibai

Marketing Automation

Extracts and analyzes competitor advertisements from major ad libraries to uncover high-performing messaging and creative strategies.

About

The Competitive Ads Extractor is a powerful research tool designed to automate the collection and analysis of competitor marketing data. By scraping ad libraries from platforms like Facebook and LinkedIn, it captures visual creatives, extracts copy, and identifies the core problems and value propositions being marketed. This skill is invaluable for growth teams, marketers, and product managers who want to understand market positioning, find creative inspiration, and benchmark their own campaigns against proven industry patterns.

Key Features

0 GitHub stars
Visual screenshot capture of active competitor creatives
Categorization by theme, audience segment, and ad format
Trend tracking to compare strategy shifts over time
Automated ad extraction from Facebook and LinkedIn Ad Libraries
In-depth messaging analysis for pain points and value props

Use Cases

Conducting positioning audits to find gaps in market messaging
Monitoring seasonal strategy changes and product launch tactics
Designing new ad campaigns based on proven competitor patterns

About

Key Features

0 GitHub stars
Visual screenshot capture of active competitor creatives
Categorization by theme, audience segment, and ad format
Trend tracking to compare strategy shifts over time
Automated ad extraction from Facebook and LinkedIn Ad Libraries
In-depth messaging analysis for pain points and value props

Use Cases

Conducting positioning audits to find gaps in market messaging
Monitoring seasonal strategy changes and product launch tactics
Designing new ad campaigns based on proven competitor patterns