playbook-linkedin-engagement

Convert LinkedIn post engagers into ICP-filtered prospect rows with source-company suppression.

678|243|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/growthenginenowoslawski/coldoutboundskills --skill playbook-linkedin-engagement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: playbook-linkedin-engagement
Source: https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/playbooks/playbook-linkedin-engagement
Command: npx skills add https://github.com/growthenginenowoslawski/coldoutboundskills --skill playbook-linkedin-engagement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scraping people who like or comment on a competitor's or customer's LinkedIn posts produces raw engager lists full of irrelevant contacts, source-company employees, and duplicates. This playbook turns that noisy harvest into a clean, ICP-filtered prospect list while enforcing do-not-contact rules that prevent embarrassing sends to competitors or existing customers.

Core Features & Use Cases

  • Engager Harvesting and Gating: Pulls post reactions and comments from shortlisted high-engagement posts, then applies a deterministic pre-gate (source-company drop, ICP filter, dedupe) and suppression pass before any paid email finding.
  • Two-Half Source-Company Rule: Drops every engager employed by any source company using four match paths (resolved domain, profile URL, squashed name, email domain), and pushes all source companies onto the client's do-not-contact list so they never reappear through other lanes.
  • Clay Implementations: Ships both a Clay table build (gated columns so enrichment and email finding run only on the ~10% of surviving rows) and a Clay CLI workflow build with precondition checks that refuse to run on unresolved sources.
  • Use Case: A B2B agency wants to target people engaging with a competitor's LinkedIn content. The playbook harvests engagers from the top 3 posts, filters to US companies with 50-2000 employees, removes the competitor's own staff, and outputs one prospect row per survivor with post evidence URLs.

Quick Start

Ask the assistant to build a prospect list from people engaging with a competitor's LinkedIn posts, providing the source company URLs, your ICP criteria, and your client domain.

Frequently Asked Questions about playbook-linkedin-engagement

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

FAQPage Schema
How do I build a lead list from LinkedIn post engagers?

Harvest reactions and comments from shortlisted high-engagement posts, then apply a deterministic gate: drop source-company employees, filter by ICP criteria like headcount and country, dedupe, and suppress against your do-not-contact list before finding emails.

How do I exclude competitor employees from a LinkedIn engagement list?

Match each engager's employer on four paths in order: resolved domain, profile URL, squashed company name, and email domain. Name matching alone misses most matches because employer strings are spelled inconsistently in scraped data.

What is the typical yield from LinkedIn engagement scraping?

Roughly 1 in 10 raw engagers survives ICP filtering and suppression, so plan to harvest 10 to 15 times the number of prospects you need. Cost works out to about $45 per 1,000 usable prospects.

Can I build a LinkedIn engagement harvest in Clay?

Yes, but the harvest itself does not belong in a Clay table because one source URL produces hundreds of rows. Harvest outside Clay, import engager rows, and use gated Clay columns for the source-company drop, ICP filter, and email finding, or use the Clay workflow build instead.

Why does my engagement list contain the client's own employees?

The client's domain was included in the source set, which means the source list is wrong and the run should stop. Never block the client's own domain; fix the source list before harvesting.

When should I not use LinkedIn engagement scraping for lead generation?

Do not use it to find more companies in a market or similar companies, which is lookalike discovery, or to track job changers. It fits only when a specific account's audience matches your client's target audience.