competitor-post-engagers

Scrape LinkedIn post engagers and classify leads by ICP keywords.

1.1k|200|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/athina-ai/goose-skills --skill competitor-post-engagers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: competitor-post-engagers
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/capabilities/competitor-post-engagers
Command: npx skills add https://github.com/athina-ai/goose-skills --skill competitor-post-engagers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you discover potential leads by identifying individuals who are actively engaging with your competitors' content on LinkedIn, turning passive observation into proactive outreach.

Core Features & Use Cases

  • Scrape Engagers: Extracts users who have reacted to or commented on a competitor's top-performing LinkedIn posts.
  • ICP Classification: Filters and classifies engagers based on your Ideal Customer Profile (ICP) criteria, including job titles and company industries.
  • Use Case: If you're in the logistics software space, you can use this Skill to find sales leaders or operations managers who are commenting on posts from your top competitors in the trucking industry, providing you with highly relevant leads.

Quick Start

Run the competitor-post-engagers skill to find leads from the LinkedIn posts of 'athina-ai'.

Frequently Asked Questions about competitor-post-engagers

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

FAQPage Schema
How do I find leads from people commenting on competitor LinkedIn posts?

Lead generation from competitor LinkedIn posts works by scraping engagers on top-performing competitor posts, then classifying those users against your Ideal Customer Profile keywords and company industry data to export targeted contacts.

How does ICP targeting work when scraping LinkedIn post engagers?

ICP targeting filters scraped LinkedIn engagers by matching their job titles and company industry data against your predefined Ideal Customer Profile keywords, ensuring only leads fitting your target audience criteria are classified and exported to a CSV file.

Do I need Apify and Apollo API tokens to scrape LinkedIn engagers?

Yes, Apify and Apollo API tokens are required for this lead generation process. Apify manages the LinkedIn scraping to extract post engagers, while Apollo provides the company industry enrichment data needed for ICP classification.

What's the best way to extract potential leads from competitor social selling activity?

Extracting leads from competitor social selling activity involves targeting top-performing competitor LinkedIn posts, scraping the engagers, filtering them through ICP classification using job titles and company industries, and exporting the qualified leads to a CSV file.

Can I use audience research to target specific industries like logistics software?

Yes, audience research through competitor post scraping supports targeting specific industries like logistics software. The Skill classifies scraped engagers by company industry data and ICP keywords, so you can isolate sales leaders or operations managers in your target sector.

What format are the classified LinkedIn leads exported in?

Classified LinkedIn leads are exported as a CSV file. After scraping and filtering engagers based on ICP keywords and company industry data, the results are compiled into this format for easy integration into your outreach workflow.