Automated resume screening & interview scheduling with Gmail, GPT & Airtable
Ready for 3.0What this workflow does
This AI workflow has 20 nodes and runs on Gmail events. Along the way it connects Gmail, OpenAI, Google Drive and Airtable and 2 more.
How it runs
Trigger: On Gmail events.
- Message a model (OpenAI): uses OpenAI
- If: checks a condition and branches into true / false
- Get a message (Gmail): get
- Upload file (Google Drive): uses Google Drive
- Extract from File: extracts data from a file (pdf)
- Available Positions (Edit Fields (Set)): sets 3 fields: Position 1, position 2, Position 3
- Message a model (OpenAI): uses OpenAI
- If: checks a condition and branches into true / false
- Get Next Business Day (Code): runs custom JavaScript code
- Create a record (Airtable): create
…plus 4 more steps. See the full node list below.
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.
- Still check Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll) (Gmail Trigger1).
Nodes used (14)
- Gmail Trigger
n8n-nodes-base.gmailTrigger - OpenAI
@n8n/n8n-nodes-langchain.openAi - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail - Google Drive
n8n-nodes-base.googleDrive - Extract from File
n8n-nodes-base.extractFromFile - Airtable
n8n-nodes-base.airtable - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Calendar Tool
n8n-nodes-base.googleCalendarTool - Google Calendar
n8n-nodes-base.googleCalendar - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
How it works The workflow detects incoming job-application emails, extracts resumes, and parses them for AI analysis. It evaluates each candidate against three open roles and assigns a fit score with structured reasoning. Low-scoring applicants are stored for…