Extract Email Tasks with Gmail, ChatGPT-4o and Supabase
Go to WorkflowDescription
📩 Gmail → GPT → Supabase | Task Extractor
This n8n workflow automates the extraction of actionable tasks from unread Gmail messages using OpenAI's GPT API, stores the resulting task metadata in Supabase, and avoids re-processing previously handled emails.
✅ What It Does
Triggers on a schedule to check for unread emails in your Gmail inbox.
Loops through each email individually using SplitInBatches.
Checks Supabase to see if the email has already been processed.
If it's a new email:
Formats the email content into a structured GPT prompt
Calls ChatGPT-4o to extract structured task data
Inserts the result into your emails table in Supabase
🧰 Prerequisites
Before using this workflow, you must have:
An active n8n Cloud or self-hosted instance
A connected Gmail account with OAuth credentials in n8n
A Supabase project with an emails table and:
ALTER TABLE emails ADD CONSTRAINT unique_email_id UNIQUE (email_id);
An OpenAI API key with access to GPT-4o or GPT-3.5-turbo
🔐 Required Credentials
| Name | Type | Description |
|-----------------|------------|-----------------------------------|
| Gmail OAuth | Gmail | To pull unread messages |
| OpenAI API Key | OpenAI | To generate task summaries |
| Supabase API | HTTP | For inserting rows via REST API |
🔁 Environment Variables or Replacements
Supabase_TaskManagement_URI → e.g., https://your-project.supabase.co
Supabase_TaskManagement_ANON_KEY → Your Supabase anon key
These are used in the HTTP request to Supabase.
⏰ Scheduling / Trigger
Triggered using a Schedule node
Default: every X minutes (adjust to your preference)
Uses a Gmail API filter: unread emails with label = INBOX
🧠 Intended Use Case
> Designed for productivity-minded professionals who want to extract, summarize, and store actionable tasks from incoming email — without processing the same email twice or wasting GPT API credits.
This is part of a larger system integrating GPT, calendar scheduling, and optional task platforms (like ClickUp).
📦 Output (Stored in Supabase)
Each processed email includes:
email_id
subject
sender
received_at
body (email snippet)
gpt_summary (structured task)
requires_deep_work (from GPT logic)
deleted (initially false)