Which platforms are supported by this skill?

This skill currently supports major ad libraries including Facebook (Meta) Ad Library and LinkedIn, allowing you to monitor both B2B and B2C landscapes.

How does the analysis identify what is 'working'?

The skill analyzes ad frequency, longevity, and repetition of specific messaging themes to hypothesize which creative patterns and value propositions are likely performing best for your competitors.

Does this skill store the actual ad creative?

Yes, the skill captures and saves visual screenshots of the ads to a local directory so you can review the design elements alongside the AI-generated analysis.

Can I compare multiple competitors at once?

Absolutely. You can provide a list of multiple competitors, and the skill will perform a cross-competitive analysis to identify shared industry patterns and unique differentiators.

Competitive Ads Extractor

Name: Competitive Ads Extractor
Author: micsapp

bymicsapp

0•

Web Scraping & Data Collection

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

The Competitive Ads Extractor is a specialized Claude Code skill designed for marketers and product teams to automate competitive intelligence. It scrapes ad libraries, captures visual evidence, and performs deep analysis on messaging, pain points, and creative patterns to help users optimize their own advertising strategies and identify market gaps. By automating the collection and synthesis of competitor data, it transforms raw ad library entries into actionable marketing intelligence and creative inspiration.

Key Features

01Automated extraction of active ads from Facebook Ad Library and LinkedIn

02Pattern recognition for high-performing copy and creative formats

03High-quality screenshot capture for visual creative and layout analysis

04Deep messaging breakdown identifying core pain points and value propositions

050 GitHub stars

06Strategic recommendations based on competitor positioning and audience targeting

Use Cases

01Researching competitor market positioning and messaging trends to refine your own brand voice

02Generating data-driven inspiration for ad copy and visual creative layouts

03Identifying successful ad patterns and gaps in competitor strategies to find new market opportunities

Key Features

01Automated extraction of active ads from Facebook Ad Library and LinkedIn

02Pattern recognition for high-performing copy and creative formats

03High-quality screenshot capture for visual creative and layout analysis

04Deep messaging breakdown identifying core pain points and value propositions

050 GitHub stars

06Strategic recommendations based on competitor positioning and audience targeting

Use Cases

01Researching competitor market positioning and messaging trends to refine your own brand voice

02Generating data-driven inspiration for ad copy and visual creative layouts

03Identifying successful ad patterns and gaps in competitor strategies to find new market opportunities