Classify emails & extract structured data from job applications with GPT-4o
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.
What this workflow does
This AI workflow has 9 nodes and runs when a new email arrives over IMAP. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When a new email arrives over IMAP.
- Extract data from attachment (Extract from File): extracts data from a file (pdf)
- Classify email (Text Classifier): classifies text into categories with AI, with model: OpenAI Chat Model
- Extract variables - email & attachment (Information Extractor): extracts structured fields from text with AI, with model: OpenAI Chat Model
Services it uses
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 (6)
- Email Trigger (IMAP)
n8n-nodes-base.emailReadImap - Text Classifier
@n8n/n8n-nodes-langchain.textClassifier - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Extract from File
n8n-nodes-base.extractFromFile - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - No Operation, do nothing
n8n-nodes-base.noOp
From the author
Who is this template for? This workflow template is designed for business owners and HR professionals to automatically detect and structure unstructured job applications received through email. Additionally, other email categories can be added, each with it's…