Extract ICP-targeted LinkedIn leads from post comments using Apify

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Built by Kidlat Kidlat
Created on June 16, 2026

Description

This workflow automates the process of extracting and qualifying leads from LinkedIn post comments based on your Ideal Customer Profile (ICP) criteria. It turns LinkedIn engagement into a structured, downloadable list of qualified leads—without manual review.

Who’s this for

Sales and business development teams generating outbound lead lists
Marketing teams running LinkedIn engagement campaigns
Recruiters sourcing candidates with specific job titles
Operators who want to convert LinkedIn comments into actionable data

What problem does this solve

Manually reviewing LinkedIn post comments to identify relevant prospects is slow, repetitive, and error-prone. This workflow automates the entire process—from scraping comments to enriching profiles and filtering by ICP—saving hours of manual work and ensuring consistent results.

What this workflow does

Collects a LinkedIn post URL and ICP criteria via a form
Scrapes post comments using Apify (supports up to 1,000 comments)
Deduplicates commenters and enriches profiles with LinkedIn data
Filters profiles by selected job titles and countries
Exports matched leads as a downloadable CSV file

How to set up

Create an Apify account and generate an API key
Add your Apify credentials in n8n (Settings → Credentials → Apify API)
Execute the workflow and submit a LinkedIn post URL and ICP criteria

Requirements

Apify account with API access - Apify offers a free tier with $5 in monthly credits, which is enough to test this workflow on smaller LinkedIn posts

How to customize the workflow

Update job titles and target countries in the Form Trigger
Increase pagination limits to support larger posts
Replace CSV export with a CRM, Google Sheets, or database integration

Nodes Used (2)

Code
n8n-nodes-base.code
HTTP Request
n8n-nodes-base.httpRequest