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competitive-ads-extractor

Extract competitor ad insights via web scraping and structured data processing.

1|Updated May 20, 2026
Search Tags:#data extraction#marketing insights#strategic analysis#competitor monitoring#ads analysis
One-click install
npx skills add https://github.com/Magnatrix-Lab/MAGNATRIX-OS --skill competitive-ads-extractor-magnatrix-lab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitive-ads-extractor
Source: https://github.com/Magnatrix-Lab/MAGNATRIX-OS/tree/main/skills/competitive-ads-extractor
Command: npx skills add https://github.com/Magnatrix-Lab/MAGNATRIX-OS --skill competitive-ads-extractor-magnatrix-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of analyzing and extracting insights from competitor ads, enabling strategic decision-making based on data-driven analysis.

Core Features & Use Cases

  • Competitor Monitoring: Tracks updates from GitHub, Product Hunt, and Twitter for competitor AI/agent projects.
  • Data Extraction: Extracts structured data such as positioning, features, pricing, and launch dates.
  • Comparison: Compares extracted data with MAGNATRIX capabilities to identify gaps and differentiators.
  • Risk Scoring: Scores threat levels of competitors based on their recent activities and funding.
  • Reporting: Generates competitive intelligence reports and broadcasts insights to a mesh network for swarm awareness.
  • Use Case: Use the competitive-ads-extractor skill to monitor competitors and generate a report on their latest updates and pricing changes to inform marketing strategies.

Quick Start

Use the competitive-ads-extractor skill to scrape updates from Product Hunt for competitors.

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 data from Product Hunt and GitHub?▼

You can monitor competitor AI projects by tracking updates across GitHub, Product Hunt, and Twitter. The Skill extracts structured data like positioning, features, and pricing, then compares it against your internal capabilities to identify competitive gaps.

What is the best way to analyze competitor threat levels for AI agent projects?▼

Analyzing competitor threat levels involves scoring risk based on recent activities and funding. The Skill compares extracted competitor ads data with your internal capabilities to generate a quantified competitive intelligence report for strategic decisions.

Can I use web scraping to monitor competitor pricing changes on Twitter?▼

Yes, you can use web scraping to monitor competitor pricing changes on Twitter. The Skill tracks competitor AI/agent project updates, extracts structured data including pricing, and compares it with internal capabilities to identify competitive gaps.

Does competitor monitoring require web scraping and data analysis libraries?▼

Yes, competitor monitoring requires web scraping and data analysis libraries. These dependencies are necessary to extract structured data from platforms like GitHub and Product Hunt and process it for strategic competitive analysis.

How do I generate competitive intelligence reports from scraped ads data?▼

To generate competitive intelligence reports, the Skill processes scraped competitor ads data, compares it with internal capabilities, scores threat levels, and broadcasts insights to a mesh network for swarm awareness.

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