Screen and rank CVs using Gmail, OpenAI, Airtable, and Slack

by Intuz ✓ · 15 views · created 2026-09-25 · HR, AI Summarization

What this workflow does

This AI workflow has 21 nodes and runs on Gmail events (plus 2 other triggers). Along the way it connects Gmail, Google Drive, Airtable and OpenAI and 1 more.

How it runs

Trigger: On Gmail events (plus 2 other triggers).

1. Check PDF File Type (If): checks a condition and branches into true / false
2. Fetch Job Description (Airtable): search
3. Fetch Weekly Pipeline Records (Airtable): search
4. Extract PDF CV Text (Extract from File): extracts data from a file (pdf)
5. Extract DOCX CV Text (Extract from File): extracts data from a file (text)
6. Merge: merges the data from its input branches
7. Calculate Digest Statistics (Code): runs custom JavaScript code
8. LLM Parse CV (OpenAI): uses OpenAI
9. LLM Candidate Scoring (OpenAI): uses OpenAI
10. Post Weekly Digest to Slack (Slack): uses Slack

…plus 7 more steps. See the full node list below.

Services it uses

GmailGoogle DriveAirtableOpenAISlack

Before you upgrade to n8n 3.0

Nodes used (13)

• Gmail Triggern8n-nodes-base.gmailTrigger
• Google Drive Triggern8n-nodes-base.googleDriveTrigger
• Extract from Filen8n-nodes-base.extractFromFile
• Airtablen8n-nodes-base.airtable
• OpenAI@n8n/n8n-nodes-langchain.openAi
• Coden8n-nodes-base.code
• Mergen8n-nodes-base.merge
• Switchn8n-nodes-base.switch
• Slackn8n-nodes-base.slack
• Gmailn8n-nodes-base.gmail
• No Operation, do nothingn8n-nodes-base.noOp
• Schedule Triggern8n-nodes-base.scheduleTrigger
• Ifn8n-nodes-base.if

From the author

Quick overview This workflow screens CVs received via Gmail (or an optional Google Drive folder), extracts and parses resume text with OpenAI, scores candidates against a job description stored in Airtable, writes results to an Airtable pipeline, and posts…

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