Categorize Revolut transactions automatically with GPT-4 and Supabase
Ready for 3.0Ready 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.
Nodes used (13)
- Manual Trigger
n8n-nodes-base.manualTrigger - Google Drive
n8n-nodes-base.googleDrive - Supabase
n8n-nodes-base.supabase - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Merge
n8n-nodes-base.merge - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Aggregate
n8n-nodes-base.aggregate - Crypto
n8n-nodes-base.crypto - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Extract from File
n8n-nodes-base.extractFromFile
What it does
Revolut Extracts Analyzer This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically. Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending. --- How it works Get Categories from Supabase Download & Transform Loop Over Items LLM Categorizer Insert into Supabase --- How to use Start with the manual trigger node or replace it with a schedule/webhook. Connect Google Drive to provide Revolut CSV files. Ensure Supabase has tables for transactions and categories. Extend with notifications, reports, or BI tools. --- Requirements Google Drive for CSV files Supabase tables for categories & transactions LLM provider (OpenAI/Gemini)