🎣 Extract ICP-targeted LinkedIn leads from post comments using Apify

⚡ 233 views · 🎣 Lead Generation & Enrichment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

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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


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

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

How to set up

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

Requirements


How to customize the workflow

🔗 Nodes Used

HTTP Request, n8n Form Trigger, Convert to File

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup