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pain-language-engagers

Automates LinkedIn discovery of warm leads via pain-language posts and ICP filters.

1.1k|200|Updated Mar 2, 2026
Search Tags:#linkedin#scraping#lead-generation#icp#profile-enrichment#engagers#pain-language
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill pain-language-engagers-gooseworks-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pain-language-engagers
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/capabilities/pain-language-engagers
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill pain-language-engagers-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Find warm leads by searching LinkedIn for pain-language posts—the frustrations, complaints, and operational struggles your ICP talks about publicly. Asks clarifying questions to understand your product, ICP, and their pain points, then generates pain-language search keywords, scrapes LinkedIn for posts and engagers, enriches profiles, and ICP-filters the results.

Core Features & Use Cases

  • Generates precise pain-language keywords and ICP filters to surface authentic buyer signals.
  • Scrapes LinkedIn posts and engagers, enriches profiles, and classifies ICP tiers for prioritization.
  • Exports deduplicated contact data and engagement history for sales outreach.

Quick Start

Search for LinkedIn pain-language posts and export a deduplicated ICP CSV.

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 who are posting about their pain points?▼

To find LinkedIn leads posting about pain points, you scrape the platform for pain-language posts and engagers. This involves generating targeted keywords based on ICP frustrations, filtering posts, and exporting a deduplicated CSV of engaged users.

How does pain-language lead generation improve B2B outreach?▼

Pain-language lead generation improves B2B outreach by targeting prospects who publicly express operational struggles. It surfaces authentic buyer signals, enriches profiles, and classifies ICP tiers to prioritize warm contacts for sales engagement.

What is the process for scraping LinkedIn engagers for profile enrichment?▼

Scraping LinkedIn engagers for profile enrichment involves configuring ICP keywords and company pages, then executing Apify actors to extract post interactions. The system enriches profiles, applies ICP classification, deduplicates data, and exports to CSV.

Can I configure ICP filters and pain keywords for different B2B industries?▼

Yes, you can configure ICP filters and pain keywords across different B2B industries. The workflow is config-driven, allowing you to specify custom pain patterns, company pages to scrape, and ICP classification rules to filter and enrich leads.

Are there cost guards or test modes available when scraping LinkedIn posts?▼

Yes, there are cost guards and an optional test mode available when scraping LinkedIn posts. These features help manage Apify actor execution expenses and validate pain-language keywords, ICP filters, and scraping configuration before a full run.

What data is included in the CSV export for LinkedIn lead generation?▼

The CSV export for LinkedIn lead generation includes deduplicated contact data and engagement history. It provides enriched profile information alongside ICP tier classifications, yielding a structured list of warm leads for targeted sales outreach.

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