This workflow follows the Emailreadimap → Emailsend recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "AI Resume Screening Workflow",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "resume-screening",
"responseMode": "responseNode",
"options": {}
},
"id": "node-webhook-trigger",
"name": "Resume Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
100,
300
]
},
{
"parameters": {
"conditions": {
"string": [
{
"value1": "={{ $json.event }}",
"operation": "equal",
"value2": "new_candidate"
}
]
}
},
"id": "node-check-event",
"name": "Validate Event",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
320,
300
]
},
{
"parameters": {
"resource": "chat",
"model": "gpt-4o",
"messages": {
"values": [
{
"role": "system",
"content": "You are an expert HR assistant. Analyze candidate profiles and provide actionable insights for recruiters. Be concise and professional. Respond with valid JSON only."
},
{
"role": "user",
"content": "=Generate a recruiter briefing for this candidate:\n\nName: {{ $json.candidate.name }}\nScore: {{ $json.candidate.score }}/100\nRecommendation: {{ $json.candidate.recommendation }}\nPosition: {{ $json.job?.title || 'Open Position' }}\n\nProvide a JSON response with:\n{\n \"subject\": \"concise email subject line\",\n \"briefing\": \"2-3 sentences professional briefing for the recruiter\",\n \"priority\": \"high|medium|low\",\n \"next_action\": \"specific recommended next step\"\n}"
}
]
},
"options": {
"temperature": 0.3,
"responseFormat": "json_object"
}
},
"id": "node-openai-briefing",
"name": "AI Recruiter Briefing",
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.3,
"position": [
540,
200
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Parse AI briefing and prepare notification data\nconst webhook = $('Resume Webhook').first().json;\nlet briefing = {};\n\ntry {\n const aiContent = $('AI Recruiter Briefing').first().json?.message?.content || '{}';\n briefing = JSON.parse(aiContent);\n} catch (e) {\n briefing = {\n subject: `New Application: ${webhook.candidate?.name}`,\n briefing: `${webhook.candidate?.name} applied with a score of ${webhook.candidate?.score}/100.`,\n priority: webhook.candidate?.score >= 75 ? 'high' : webhook.candidate?.score >= 50 ? 'medium' : 'low',\n next_action: 'Review candidate profile in the dashboard'\n };\n}\n\nconst scoreColor = webhook.candidate?.score >= 75 ? '#22c55e' :\n webhook.candidate?.score >= 50 ? '#f59e0b' : '#ef4444';\n\nconst recommendationLabel = {\n 'strong_yes': 'Strong Yes',\n 'yes': 'Yes',\n 'maybe': 'Maybe',\n 'no': 'No'\n}[webhook.candidate?.recommendation] || 'N/A';\n\nreturn [{\n json: {\n candidate_id: webhook.candidate_id,\n candidate_name: webhook.candidate?.name,\n candidate_email: webhook.candidate?.email,\n score: webhook.candidate?.score,\n recommendation: webhook.candidate?.recommendation,\n recommendation_label: recommendationLabel,\n job_title: webhook.job?.title || 'Open Position',\n score_color: scoreColor,\n briefing: briefing.briefing,\n subject: briefing.subject,\n priority: briefing.priority,\n next_action: briefing.next_action,\n dashboard_url: `${$env.APP_URL || 'http://localhost:3000'}/dashboard.html`,\n timestamp: new Date().toISOString()\n }\n}];"
},
"id": "node-prepare-data",
"name": "Prepare Notification",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
760,
200
]
},
{
"parameters": {
"conditions": {
"number": [
{
"value1": "={{ $json.score }}",
"operation": "largerEqual",
"value2": 60
}
]
}
},
"id": "node-score-check",
"name": "High Score?",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
980,
200
]
},
{
"parameters": {
"fromEmail": "={{ $env.EMAIL_FROM || 'ai-screening@company.com' }}",
"toEmail": "={{ $env.RECRUITER_EMAIL || 'recruiter@company.com' }}",
"subject": "=[{{ $json.priority === 'high' ? 'HIGH' : $json.priority === 'medium' ? 'MEDIUM' : 'LOW' }}] {{ $json.subject }}",
"emailType": "html",
"html": "=<!DOCTYPE html>\n<html>\n<head>\n<meta charset='utf-8'>\n<style>\nbody { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif; margin: 0; background: #f8fafc; }\n.container { max-width: 580px; margin: 30px auto; background: white; border-radius: 16px; overflow: hidden; box-shadow: 0 4px 20px rgba(0,0,0,0.08); }\n.header { background: linear-gradient(135deg, #1e293b 0%, #334155 100%); padding: 28px 32px; }\n.header h1 { color: white; margin: 0; font-size: 20px; font-weight: 700; }\n.header p { color: #94a3b8; margin: 4px 0 0; font-size: 13px; }\n.body { padding: 28px 32px; }\n.score-big { font-size: 56px; font-weight: 900; color: {{ $json.score_color }}; line-height: 1; }\n.score-label { color: #94a3b8; font-size: 12px; margin-top: 4px; text-transform: uppercase; letter-spacing: 1px; }\n.info-row { display: flex; justify-content: space-between; padding: 10px 0; border-bottom: 1px solid #f1f5f9; }\n.info-label { color: #94a3b8; font-size: 13px; }\n.info-value { color: #1e293b; font-size: 13px; font-weight: 600; }\n.briefing { background: #f8fafc; border-left: 4px solid #6366f1; padding: 14px 16px; border-radius: 0 8px 8px 0; color: #475569; font-size: 14px; line-height: 1.6; margin: 16px 0; }\n.action-box { background: #eff6ff; border: 1px solid #bfdbfe; border-radius: 10px; padding: 14px; margin: 16px 0; }\n.action-box p { color: #1d4ed8; font-size: 13px; margin: 0; font-weight: 500; }\n.btn { display: inline-block; background: linear-gradient(135deg, #6366f1, #8b5cf6); color: white; padding: 12px 28px; border-radius: 8px; text-decoration: none; font-weight: 600; font-size: 14px; margin-top: 16px; }\n.footer { background: #f8fafc; padding: 16px 32px; text-align: center; border-top: 1px solid #e2e8f0; }\n.footer p { color: #94a3b8; font-size: 11px; margin: 2px 0; }\n.badge { display: inline-block; padding: 4px 12px; border-radius: 20px; font-size: 12px; font-weight: 600; background: {{ $json.score >= 75 ? 'rgba(34,197,94,0.15)' : $json.score >= 50 ? 'rgba(245,158,11,0.15)' : 'rgba(239,68,68,0.15)' }}; color: {{ $json.score_color }}; }\n</style>\n</head>\n<body>\n<div class='container'>\n <div class='header'>\n <h1>New Candidate Alert</h1>\n <p>AI Resume Screening System - n8n Workflow</p>\n </div>\n <div class='body'>\n <div style='display:flex;align-items:flex-start;gap:24px;margin-bottom:24px;'>\n <div>\n <div class='score-big'>{{ $json.score }}</div>\n <div class='score-label'>AI Score / 100</div>\n <div class='badge' style='margin-top:8px;'>{{ $json.recommendation_label }}</div>\n </div>\n <div style='flex:1;'>\n <h2 style='margin:0 0 4px;color:#1e293b;font-size:20px;font-weight:700;'>{{ $json.candidate_name }}</h2>\n <p style='margin:0;color:#64748b;font-size:14px;'>{{ $json.candidate_email }}</p>\n <p style='margin:8px 0 0;color:#64748b;font-size:13px;'>Applied for: <strong>{{ $json.job_title }}</strong></p>\n </div>\n </div>\n <div class='info-row'>\n <span class='info-label'>Priority</span>\n <span class='info-value'>{{ $json.priority === 'high' ? 'High' : $json.priority === 'medium' ? 'Medium' : 'Low' }}</span>\n </div>\n <div class='info-row'>\n <span class='info-label'>Received</span>\n <span class='info-value'>{{ new Date($json.timestamp).toLocaleString() }}</span>\n </div>\n <div class='briefing'>{{ $json.briefing }}</div>\n <div class='action-box'>\n <p>Recommended Action: {{ $json.next_action }}</p>\n </div>\n <a href='{{ $json.dashboard_url }}' class='btn'>View Full Profile</a>\n </div>\n <div class='footer'>\n <p>Automated by n8n - AI Resume Screening System</p>\n <p>This alert was triggered because the candidate scored {{ $json.score }}/100</p>\n </div>\n</div>\n</body>\n</html>"
},
"id": "node-send-recruiter-email",
"name": "Alert Recruiter",
"type": "n8n-nodes-base.emailSend",
"typeVersion": 2,
"position": [
1200,
100
],
"credentials": {
"smtp": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "={{ $env.APP_URL || 'http://localhost:3000' }}/api/webhook/n8n-callback",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "candidate_id",
"value": "={{ $json.candidate_id }}"
},
{
"name": "action",
"value": "update_status"
},
{
"name": "data",
"value": "={{ JSON.stringify({ status: 'reviewing', n8n_processed: true, processed_at: new Date().toISOString() }) }}"
}
]
},
"options": {}
},
"id": "node-callback-api",
"name": "Update Backend Status",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
1200,
300
]
},
{
"parameters": {
"jsCode": "// Log workflow completion\nconst data = $('Prepare Notification').first().json;\nconsole.log(`Workflow completed for candidate: ${data.candidate_name} (Score: ${data.score})`);\n\nreturn [{\n json: {\n success: true,\n message: 'Workflow completed successfully',\n candidate_id: data.candidate_id,\n score: data.score,\n processed_at: new Date().toISOString()\n }\n}];"
},
"id": "node-log-completion",
"name": "Log Completion",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1420,
300
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ JSON.stringify({ success: true, message: 'Workflow triggered', candidate_id: $('Resume Webhook').first().json.candidate_id }) }}"
},
"id": "node-webhook-response",
"name": "Webhook Response",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
320,
500
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "=INSERT INTO workflow_events (candidate_id, event_type, payload, status)\nVALUES ('{{ $('Resume Webhook').first().json.candidate_id }}', 'n8n_processed', '{{ JSON.stringify($('Prepare Notification').first().json) }}', 'success')\nON CONFLICT DO NOTHING;"
},
"id": "node-db-log",
"name": "Save to Database",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2,
"position": [
1420,
100
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"triggerTimes": {
"item": [
{
"mode": "everyHour"
}
]
}
},
"id": "node-cron-trigger",
"name": "Hourly Check (IMAP)",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.1,
"position": [
100,
600
]
},
{
"parameters": {
"mailbox": "INBOX",
"subject": "resume OR cv OR application OR job",
"downloadAttachments": true,
"format": "resolved",
"options": {
"allowUnauthorizedCerts": false
}
},
"id": "node-email-read",
"name": "Check Email Inbox",
"type": "n8n-nodes-base.emailReadImap",
"typeVersion": 2,
"position": [
320,
600
],
"credentials": {
"imap": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"boolean": [
{
"value1": "={{ $json.attachments && $json.attachments.length > 0 }}",
"value2": true
}
]
}
},
"id": "node-has-attachment",
"name": "Has Attachment?",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
540,
600
]
},
{
"parameters": {
"url": "={{ $env.APP_URL || 'http://localhost:3000' }}/api/email-resume",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"sender\": \"{{ $json.from.value[0].address }}\",\n \"subject\": \"{{ $json.subject }}\",\n \"resume_text\": \"{{ $json.text || $json.textAsHtml || '' }}\",\n \"attachments\": {{ JSON.stringify(($json.attachments || []).map(a => ({ filename: a.filename, mimeType: a.mimeType }))) }}\n}",
"options": {}
},
"id": "node-process-email",
"name": "Send to Backend",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
760,
550
]
}
],
"connections": {
"Resume Webhook": {
"main": [
[
{
"node": "Validate Event",
"type": "main",
"index": 0
},
{
"node": "Webhook Response",
"type": "main",
"index": 0
}
]
]
},
"Validate Event": {
"main": [
[
{
"node": "AI Recruiter Briefing",
"type": "main",
"index": 0
}
],
[]
]
},
"AI Recruiter Briefing": {
"main": [
[
{
"node": "Prepare Notification",
"type": "main",
"index": 0
}
]
]
},
"Prepare Notification": {
"main": [
[
{
"node": "High Score?",
"type": "main",
"index": 0
},
{
"node": "Update Backend Status",
"type": "main",
"index": 0
}
]
]
},
"High Score?": {
"main": [
[
{
"node": "Alert Recruiter",
"type": "main",
"index": 0
}
],
[]
]
},
"Alert Recruiter": {
"main": [
[
{
"node": "Save to Database",
"type": "main",
"index": 0
}
]
]
},
"Update Backend Status": {
"main": [
[
{
"node": "Log Completion",
"type": "main",
"index": 0
}
]
]
},
"Hourly Check (IMAP)": {
"main": [
[
{
"node": "Check Email Inbox",
"type": "main",
"index": 0
}
]
]
},
"Check Email Inbox": {
"main": [
[
{
"node": "Has Attachment?",
"type": "main",
"index": 0
}
]
]
},
"Has Attachment?": {
"main": [
[
{
"node": "Send to Backend",
"type": "main",
"index": 0
}
],
[]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1",
"saveManualExecutions": true,
"callerPolicy": "workflowsFromSameOwner",
"errorWorkflow": ""
},
"staticData": null,
"tags": [
{
"name": "HR Automation"
},
{
"name": "AI"
},
{
"name": "Resume Screening"
}
],
"meta": {
"description": "Complete AI-powered resume screening workflow. Processes form submissions and email resumes, triggers AI analysis, sends recruiter alerts, and updates the hiring database."
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
imapopenAiApipostgressmtp
Pro
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About this workflow
AI Resume Screening Workflow. Uses openAi, emailSend, httpRequest, postgres. Webhook trigger; 14 nodes.
Source: https://github.com/GitRoarr/-ai-resume-screening-workflow-/blob/f4f37cf231c38ba48af564fad6ce53b0d014bdf4/n8n-workflows/ai_resume_screening.json — original creator credit. Request a take-down →
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