Templates / Smart LinkedIn job filtering with Google Gemini, CV matching, and Google Maps

Smart LinkedIn job filtering with Google Gemini, CV matching, and Google Maps

Ready for 3.0

by Atta ✓ · 3,608 views · created 2025-09-12 · HR, AI Chatbot

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 21 nodes and runs on a schedule (every day at 09:00) (plus 1 other trigger). Along the way it connects Google Gemini Chat Model, Supabase and Telegram.

How it runs

Trigger: On a schedule (every day at 09:00) (plus 1 other trigger).

  1. Config (Edit Fields (Set)): sets 9 fields: MyCV, JobKeywords, ExperienceLevel…
  2. Scrape LinkenIn Jobs (HTTP Request): calls an HTTP API (POST)
  3. Items Loop (Loop Over Items (Split in Batches)): loops over the items in batches
  4. Deconstruct Job Data (AI Agent): runs an AI agent, with model: Google Gemini; output parser: Structured Output Parser
  5. If: checks a condition and branches into true / false
  6. If: checks a condition and branches into true / false
  7. If: checks a condition and branches into true / false
  8. Get Commute Time (HTTP Request): calls an HTTP API
  9. AI Deep Analysis (AI Agent): runs an AI agent, with model: Google Gemini Deep Analysis; output parser: Structured Output Parser
  10. Is Commute Acceptable (If): checks a condition and branches into true / false

…plus 3 more steps. See the full node list below.

Services it uses

Google Gemini Chat ModelSupabaseTelegram

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (12)

From the author

What it does The job search process is filled with manual, frustrating tasks—reading endless job descriptions only to find the seniority is wrong, the role requires a language you don't speak, or a "hybrid" job has an impossible commute. This workflow acts as…

Excerpt from Atta's description on n8n.io.

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

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