Match CVs to job descriptions with Gemini analysis & email reports
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 12 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects Google Gemini Chat Model and Gmail.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Webhook Response - HTML Form (Respond to Webhook): sends the response back to the webhook caller
- Extract CV Text (PDF) (Extract from File): extracts data from a file (pdf)
- Prepare CV Text (Edit Fields (Set)): sets 1 field: cv_text
- Fetch Job Posting (HTTP Request): calls an HTTP API
- Merge: merges the data from its input branches
- Job Text Cleaner (Code): runs custom JavaScript code
- AI CV Analyzer (AI Agent): runs an AI agent, with model: Gemini Model - Primary; output parser: Parse AI JSON Output
- Send report (Gmail): uses Gmail
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 (11)
- Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - Extract from File
n8n-nodes-base.extractFromFile - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Merge
n8n-nodes-base.merge - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Gmail
n8n-nodes-base.gmail - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code
From the author
AI-Powered CV Feedback & Fit Score This workflow uses AI to automatically analyze a candidate’s CV against any job posting. It extracts key skills, requirements, and gaps, then generates a clear fit summary, recommendations, and optimization tips. Candidates…