competitive-ads-extractor

Extracts competitor ads from ad libraries and analyzes messaging patterns.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/vZulin/overlay-clock-timer --skill competitive-ads-extractor-vzulin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-ads-extractor
Source: https://github.com/vZulin/overlay-clock-timer/tree/main/.codex/skills/macos-design/competitive-ads-extractor
Command: npx skills add https://github.com/vZulin/overlay-clock-timer --skill competitive-ads-extractor-vzulin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Businesses struggle to manually track competitors' ad campaigns and decipher which messages, use cases, and visuals drive engagement. This skill automates extraction and analysis to reveal themes, patterns, and actionable insights.

Core Features & Use Cases

  • Extracts Ads: Scrapes competitors' ads from multiple platforms (Facebook Ad Library, LinkedIn, etc.)
  • Captures Screenshots: Saves visual copies of all ads
  • Analyzes Messaging: Identifies problems, use cases, and value props
  • Categorizes Ads: Groups by theme, audience, or format
  • Identifies Patterns: Finds common successful approaches
  • Provides Insights: Explains why certain ads likely perform well

Quick Start

Provide a competitor name and platform to start extracting ads and analyzing their messaging.

Frequently Asked Questions about competitive-ads-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract competitor ads from Facebook Ad Library for analysis?

You can extract competitor ads from the Facebook Ad Library by providing a competitor name and platform to scrape active campaigns, capture screenshots, and categorize messaging themes. This automates manual tracking to reveal patterns in problems, use cases, and value propositions.

What is competitive ad messaging analysis and why do I need it?

Competitive ad messaging analysis deciphers which specific problems, use cases, and visuals drive engagement in competitor campaigns. It is needed to stop manual tracking inefficiencies and reveal actionable market positioning patterns for campaign planning.

Can I analyze competitor ads across multiple platforms like LinkedIn and Facebook?

Yes, you can analyze competitor ads across multiple platforms including Facebook Ad Library and LinkedIn. The extraction process scrapes ads, saves visual screenshots, and categorizes them by theme, audience, or format regardless of the source platform.

How do I categorize competitor ads by theme and audience format?

You categorize competitor ads by theme and audience format by scraping campaigns from ad libraries, saving screenshots, and grouping them based on extracted messaging patterns. This identifies common successful approaches and explains why certain ads perform well.

What's the best way to find ad creative inspiration from market competitors?

The best way to find ad creative inspiration is automating the extraction of competitor ads from libraries to identify visual patterns and successful messaging themes. This produces insights reports that explain why specific approaches drive engagement.

Does analyzing competitor ads require manual screenshot saving and scraping?

No, analyzing competitor ads does not require manual scraping or screenshot saving. The process automates extraction from ad libraries, captures visual copies, and directly categorizes messaging to produce actionable insights reports without manual tracking.