competitive-ads-extractor

Extract and analyze competitor ads from Facebook Ad Library and LinkedIn.

24|15|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/ammosu/awesome-claude-skills-zh-TW --skill competitive-ads-extractor-ammosu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitive-ads-extractor
Source: https://github.com/ammosu/awesome-claude-skills-zh-TW/tree/main/competitive-ads-extractor
Command: npx skills add https://github.com/ammosu/awesome-claude-skills-zh-TW --skill competitive-ads-extractor-ammosu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill extracts and analyzes competitors' ads from ad libraries to reveal messaging, pain points, and creative patterns. It helps marketers derive insights to inspire and improve their own ad campaigns.

Core Features & Use Cases

  • Extracts Ads: Scrapes ads from Facebook Ad Library, LinkedIn, and other major libraries.
  • Captures Screenshots: Saves visual copies of all ads for reference.
  • Analyzes Messaging: Identifies problems highlighted, use cases targeted, and value propositions.
  • Categorizes Ads: Groups ads by theme, audience, or format for benchmarking.
  • Provides Insights: Explains why certain ads may perform well and suggests data-driven ideas.
  • Use Case: For a competitor like Notion, extract ads to understand messaging patterns and inform your own campaign strategy.

Quick Start

Use the competitive-ads-extractor to extract ads from a chosen competitor on Facebook Ad Library and generate an analysis report with actionable insights.

Frequently Asked Questions about competitive-ads-extractor

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

FAQPage Schema
How do I analyze competitor ads from Facebook Ad Library to find messaging patterns?

To analyze competitor ads, you extract ads from the Facebook Ad Library to identify messaging patterns, targeted pain points, and value propositions. This process reveals creative patterns and provides structured insights with clear next steps for your campaigns.

What is the best way to scrape competitor ads for marketing insights without coding?

The best way to scrape competitor ads for marketing insights without coding is using an automated extractor that pulls ad data and captures screenshots. It groups ads by theme or format to deliver structured benchmarking reports and actionable campaign inspiration.

Can I extract and categorize competitor ads from LinkedIn for campaign benchmarking?

Yes, you can extract and categorize competitor ads from LinkedIn for campaign benchmarking. The extractor pulls active ads, captures visual copies, and groups them by audience or theme to evaluate competitors' messaging strategies and creative formats.

Does analyzing ad libraries require any technical dependencies or setup?

Analyzing ad libraries requires no technical dependencies or code setup. You simply target a chosen competitor across platforms like Facebook Ad Library or LinkedIn, and the tool outputs structured insights, categorizing ads and explaining why certain creatives may perform well.

Why should I categorize competitor ads by theme when analyzing creative patterns?

You should categorize competitor ads by theme when analyzing creative patterns to systematically group messaging and formats by targeted audience. This categorization enables accurate benchmarking, highlights use cases competitors target, and clarifies why specific ads may perform well.