Templates / Scrape LinkedIn hiring posts with Apify and save qualified leads to Google Sheets

Scrape LinkedIn hiring posts with Apify and save qualified leads to Google Sheets

Unknown

by Salman Mehboob ✓ · 682 views · created 2026-04-29 · Lead Generation, AI Summarization

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This workflow has 15 nodes and runs on a schedule (every 6 hours). Along the way it connects Google Sheets and Apify (community).

How it runs

Trigger: On a schedule (every 6 hours).

  1. Get Posts (Apify): run actor and get dataset
  2. Generate Fingerprint (Edit Fields (Set)): sets 1 field: fingerprint
  3. Remove Duplicates: removes duplicate items
  4. If Job Not in Databse (Data table): row not exists
  5. Insert row (Data table): uses Data table
  6. Removing Noise (Filter): keeps only the items that match a condition
  7. Remove Job Seakers (Filter): keeps only the items that match a condition
  8. Check Hiring Intent (Code): runs custom JavaScript code
  9. If Intent true (Filter): keeps only the items that match a condition
  10. Remove Intern (Filter): keeps only the items that match a condition

…plus 4 more steps. See the full node list below.

Services it uses

Google SheetsApify (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @apify/n8n-nodes-apify is verified or supports 3.0 (used in Get Posts).

Nodes used (8)

From the author

> 📊 See real sample data this workflow collects: > View Sample Google Sheet → Stop manually searching LinkedIn every day. This workflow runs every 6 hours, scrapes LinkedIn posts, filters out all the noise, confirms real hiring intent, and saves only…

Excerpt from Salman Mehboob's description on n8n.io.

View the original on n8n.io → Check your own copy

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