pain-language-engagers

Generate pain-language keywords and scrape LinkedIn profiles of engagers expressing specific pain points.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and configs (resource) components.

What problem does it solve?

This Skill helps you discover potential leads by identifying individuals on LinkedIn who are publicly expressing frustrations and operational struggles related to the problems your product solves.

Core Features & Use Cases

  • Pain-Language Keyword Generation: Creates targeted search terms based on user-defined pain points.
  • LinkedIn Scraping: Searches LinkedIn for posts and engagers discussing these pain points.
  • Profile Enrichment & Filtering: Gathers detailed profile information and filters for ideal customer profiles (ICP).
  • Use Case: A SaaS company selling project management software can use this Skill to find project managers complaining about "missed deadlines" or "scope creep" on LinkedIn, turning their public frustrations into qualified sales leads.

Quick Start

Use the pain-language-engagers skill to find leads complaining about 'slow onboarding' on LinkedIn.

Frequently Asked Questions about pain-language-engagers

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

FAQPage Schema
How do I find LinkedIn leads complaining about specific pain points?

LinkedIn scraping for lead generation works by utilizing Apify actors to harvest posts and profile data from individuals expressing specific frustrations. It enriches these profiles with job titles and locations to filter for ideal customer profiles.

What is pain-language keyword generation for social listening?

Pain-language keyword generation for social listening creates targeted search terms based on user-defined operational struggles. These keywords identify LinkedIn posts where potential leads publicly express frustrations relevant to your product.

Do I need Apify API keys to scrape LinkedIn pain points?

Yes, you need Apify API keys to scrape LinkedIn pain points. The Skill utilizes Apify actors for LinkedIn data harvesting, which requires valid API keys to authenticate and execute scraping tasks.

How do I scrape LinkedIn engagers discussing operational struggles?

You scrape LinkedIn engagers discussing operational struggles by defining target pain points, generating relevant keywords, and using Apify actors to harvest profiles of individuals interacting with posts about those specific frustrations.

Can I filter scraped LinkedIn profiles by job title and location?

Yes, you can filter scraped LinkedIn profiles by job title and location. The Skill enriches harvested profiles with this data and applies filters to identify individuals matching your ideal customer profile.

What are the limitations of using Apify for LinkedIn prospecting?

Limitations of using Apify for LinkedIn prospecting include dependency on external Apify API keys for execution and potential restrictions on data harvesting scale imposed by LinkedIn platform policies.