Fast-track CV screening with AI analysis from Gmail to Slack and Google Sheets
Ready for 3.0What this workflow does
This AI workflow has 39 nodes and runs on Gmail events. Along the way it connects Google Sheets, Google Drive, Gmail and Google Gemini Chat Model and 1 more. It also calls googleapis.com over HTTP.
How it runs
Trigger: On Gmail events.
- Switch: routes items into 2 branches
- Stream Doc/Docx File (HTTP Request): calls googleapis.com (POST)
- Preserve CV file (Code): runs custom JavaScript code
- Upload CV - PDF (Google Drive): uses Google Drive
- Merge: merges the data from its input branches
- Download CV - PDF (Google Drive): download
- Trigger Google Docs Conversion (HTTP Request): calls an HTTP API (PUT)
- Extract from PDF (Extract from File): extracts data from a file (pdf)
- Get Web Link (HTTP Request): calls an HTTP API
- Standardize Web Link and CV Text (PDF) (Edit Fields (Set)): sets 2 fields: cv_webviewlink, cv_text
…plus 20 more steps. See the full node list below.
Services it uses
HTTP calls to: googleapis.com
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) (Receive CV via Email).
Nodes used (17)
- HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Merge
n8n-nodes-base.merge - Edit Fields (Set)
n8n-nodes-base.set - Extract from File
n8n-nodes-base.extractFromFile - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Google Sheets
n8n-nodes-base.googleSheets - Google Drive
n8n-nodes-base.googleDrive - Switch
n8n-nodes-base.switch - Gmail Trigger
n8n-nodes-base.gmailTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Google Drive Tool
n8n-nodes-base.googleDriveTool - If
n8n-nodes-base.if - Slack
n8n-nodes-base.slack - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured
From the author
CV → Match → Screen → Decide, all automated This workflow automatically processes candidate CVs from email, intelligently matches them to job descriptions, performs AI-powered screening analysis, and sends actionable summaries to your team in Slack. Good to…