Templates / AI candidate screening pipeline: LinkedIn to Telegram with Gemini & Apify

AI candidate screening pipeline: LinkedIn to Telegram with Gemini & Apify

Ready for 3.0

by Dean Pike ✓ · 2,286 views · created 2025-10-22 · HR, AI Summarization

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 44 nodes and runs on Telegram events (message). Along the way it connects Google Drive, Telegram, Google Gemini Chat Model and Google Sheets. It also calls api.apify.com over HTTP.

How it runs

Trigger: On Telegram events (message).

  1. Start Msg Sent + Valid LinkedIn Profile URL? (If): checks a condition and branches into true / false
  2. Get All Rows Matching Telegram Username (Google Sheets): uses Google Sheets
  3. Reply with Error/Try Again Msg (Telegram): uses Telegram
  4. Count Rows Matching Telegram Username (Summarize): summarizes / groups the items
  5. Spam Check: Sent <4 LinkedIn Profiles? (If): checks a condition and branches into true / false
  6. Grab Clean LinkedIn URL (Code): runs custom JavaScript code
  7. Reply with Confirmation Msg (Telegram): uses Telegram
  8. Reply - Too Many LinkedIn URLs Sent Msg (Telegram): uses Telegram
  9. Extract LinkedIn Profile Information (HTTP Request): calls api.apify.com (POST)
  10. Send Msg to Internal Talent Group (Telegram): uses Telegram

…plus 26 more steps. See the full node list below.

Services it uses

Google DriveTelegramGoogle Gemini Chat ModelGoogle Sheets

HTTP calls to: api.apify.com

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 (17)

From the author

LinkedIn URL → Scrape → Match → Screen → Decide, all automated This workflow automatically processes candidate LinkedIn profiles shared via Telegram, intelligently matches them to job descriptions, performs AI-powered screening analysis, and sends actionable…

Excerpt from Dean Pike's description on n8n.io.

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

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