Classify Emails & Extract Job Application Data with GPT-4o

This n8n workflow automates the processing of incoming emails for HR teams by using GPT-4o to classify emails into categories, focusing on job applications. It analyzes email plain text and attachment content to identify applications, then extracts key structured data such as applicant age, education, and other predefined fields.

The workflow triggers on new emails via IMAP, passes content to an OpenAI node for classification, and if matched as a job application, uses another OpenAI node to populate structured fields. This enables seamless integration with CRMs or ATS like HubSpot or Recruitee for direct applicant onboarding.

Benefits include massive time savings for HR professionals by turning unstructured emails into actionable data, reducing manual review, and minimizing errors. Use cases span recruitment agencies, growing businesses handling high-volume applications, and any team receiving resumes via email, with easy customization of categories and fields.

Setup is straightforward: configure IMAP credentials, connect OpenAI API in classification and extraction nodes, and tweak prompts for categories or fields as needed.