Templates / Resume data extraction and storage in Supabase from email attachments

Resume data extraction and storage in Supabase from email attachments

Ready for 3.0

by Belgacem Dhiflaoui ✓ · 3,835 views · created 2025-05-16 · 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 17 nodes and runs on Gmail events. Along the way it connects Gmail, OpenRouter Chat Model and Supabase.

How it runs

Trigger: On Gmail events.

  1. If: checks a condition and branches into true / false
  2. Extract from File: extracts data from a file (pdf)
  3. Edit Fields (Edit Fields (Set)): sets 1 field: text
  4. Basic LLM Chain: sends a prompt to an LLM, with model: OpenRouter Chat Model; output parser: Structured Output Parser
  5. HTTP Request: calls an HTTP API (POST)
  6. Edit Fields (Edit Fields (Set)): sets 1 field: Expr
  7. Edit Fields (Edit Fields (Set)): sets 1 field: skill
  8. Edit Fields (Edit Fields (Set)): sets 1 field: Educ
  9. Split Out: splits a list into separate items
  10. Split Out: splits a list into separate items

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

Services it uses

GmailOpenRouter Chat ModelSupabase

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.

  • Still check Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll) (Gmail Trigger).

Nodes used (10)

From the author

Description What Problem Does This Solve? 🛠️ This workflow automates the process of extracting key information from resumes received as email attachments and storing that data in a structured format within a Supabase database. It eliminates the manual effort…

Excerpt from Belgacem Dhiflaoui's description on n8n.io.

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

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