Can I compare multiple competitors at once?

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

Which platforms can this skill extract ads from?

The skill is configured to work with major public repositories including the Facebook Ad Library and LinkedIn, and can be adapted for other visible ad networks.

Does it save the actual images of the ads?

Yes, the skill automatically captures screenshots of the ads and saves them to a structured local directory for your visual reference.

Does it provide insights into ad performance?

While it cannot access private performance data, it analyzes frequency, duration, and creative consistency to infer which ads are likely performing best for the competitor.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: hameed0342j

byhameed0342j

0•

Web Scraping & Data Collection

Extracts and analyzes competitor advertisements from major ad libraries to uncover winning messaging, creative patterns, and market positioning.

Competitive Ads Extractor is a specialized tool designed to automate the research phase of ad campaign development. By programmatically scraping platforms like the Facebook Ad Library and LinkedIn, it gathers visual creatives and copy to perform deep thematic analysis. The skill identifies the core problems, use cases, and value propositions your competitors are emphasizing, allowing you to spot market gaps, find creative inspiration, and refine your own brand positioning with data-driven insights.

Key Features

01Multi-competitor benchmarking and comparative strategy reporting

020 GitHub stars

03Pattern recognition for successful headlines, CTAs, and layouts

04Automated ad extraction from Facebook Ad Library and LinkedIn

05Deep messaging analysis to identify pain points and value props

06Visual screenshot capture and organized local storage of creatives

Use Cases

01Finding inspiration for high-performing ad copy and visual creative patterns

02Auditing industry-wide messaging trends to identify underserved customer needs

03Researching competitor positioning before launching a new product or feature

Key Features

01Multi-competitor benchmarking and comparative strategy reporting

020 GitHub stars

03Pattern recognition for successful headlines, CTAs, and layouts

04Automated ad extraction from Facebook Ad Library and LinkedIn

05Deep messaging analysis to identify pain points and value props

06Visual screenshot capture and organized local storage of creatives

Use Cases

01Finding inspiration for high-performing ad copy and visual creative patterns

02Auditing industry-wide messaging trends to identify underserved customer needs

03Researching competitor positioning before launching a new product or feature