This workflow follows the Google Drive → Google Drive Trigger 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": "Resume Optimizer and Job Match Scorer",
"nodes": [
{
"parameters": {
"content": "## \ud83d\udcc4 Resume Optimizer & Job Match Scorer\n\n### What this workflow does\n1. Watches Google Drive folder for resume PDFs\n2. PDF Vector extracts candidate skills, experience, education\n3. PDF Vector Ask scores resume against a target job description\n4. Calculates match score, identifies gaps, gives improvement tips\n5. Logs results to Google Sheets\n6. Sends Slack alert with full match report\n\n### Setup steps\n1. Get PDF Vector API key from pdfvector.com/api-keys\n2. Create a Google Drive folder for incoming resumes\n3. Update JOB_TITLE and JOB_DESCRIPTION in the Score Match node\n4. Create Google Sheet with columns:\n Candidate | Email | Current Title | Experience Years | Match Score | Recommendation | Top Strengths | Missing Skills | Suggestions | File Name | Processed Date\n5. Connect Slack workspace\n\n### How to customize the job\nOpen the 'Score Match' node and update:\n- JOB TITLE: the role you are hiring for\n- JOB REQUIREMENTS: paste the full job description\n\n### Perfect for\n- Recruiters screening candidates\n- Career coaches reviewing resumes\n- HR teams matching applicants to roles\n\n### Template by PDF Vector\npdfvector.com/integrations/n8n",
"height": 720,
"width": 460,
"color": 5
},
"id": "7161d4dc-4377-47e4-b397-ee8e0665c254",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
560,
160
]
},
{
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"value": "YOUR_RESUMES_FOLDER_ID",
"mode": "list",
"cachedResultName": "Resumes to Screen"
},
"event": "fileCreated",
"options": {}
},
"id": "dea43ae5-6c70-439f-9bf0-a5a37e8fb9d2",
"name": "New Resume",
"type": "n8n-nodes-base.googleDriveTrigger",
"typeVersion": 1,
"position": [
1080,
460
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "download",
"fileId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {}
},
"id": "38ea4faa-1f93-4d87-9820-d0b08b8d6b14",
"name": "Download Resume",
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
1280,
460
],
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "document",
"operation": "extract",
"inputType": "file",
"binaryPropertyName": "data",
"prompt": "Extract candidate information from this resume. This is a resume/CV document containing a person's work history, skills and education.",
"schema": "{\"type\": \"object\", \"properties\": {\"candidateName\": {\"type\": \"string\"}, \"email\": {\"type\": \"string\"}, \"phone\": {\"type\": \"string\"}, \"location\": {\"type\": \"string\"}, \"currentTitle\": {\"type\": \"string\"}, \"currentCompany\": {\"type\": \"string\"}, \"yearsOfExperience\": {\"type\": \"number\"}, \"technicalSkills\": {\"type\": \"string\"}, \"softSkills\": {\"type\": \"string\"}, \"educationDegree\": {\"type\": \"string\"}, \"educationSchool\": {\"type\": \"string\"}, \"certifications\": {\"type\": \"string\"}, \"keyAchievements\": {\"type\": \"string\"}, \"industryBackground\": {\"type\": \"string\"}, \"seniorityLevel\": {\"type\": \"string\"}}, \"required\": [\"candidateName\"], \"additionalProperties\": false}"
},
"id": "cc0d8913-fd02-48da-9886-3c089d01f24e",
"name": "Extract Resume",
"type": "n8n-nodes-pdfvector.pdfVector",
"typeVersion": 1,
"position": [
1480,
340
],
"credentials": {
"pdfVectorApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "document",
"operation": "ask",
"inputType": "file",
"binaryPropertyName": "data",
"prompt": "You are an expert recruiter. Score this resume against the job below.\n\nJOB TITLE: [UPDATE THIS - e.g. Software Engineer]\n\nJOB REQUIREMENTS:\n[UPDATE THIS - paste the full job description here]\n\nRespond in this exact format:\nMATCH_SCORE: [0-100]\nRECOMMENDATION: [STRONG_FIT / GOOD_FIT / POSSIBLE_FIT / NOT_A_FIT]\nTOP_STRENGTHS: [top 3 matching strengths, comma separated]\nMISSING_SKILLS: [most important missing requirements, comma separated]\nSUGGESTIONS: [2-3 specific improvements the candidate should make to better match this role]"
},
"id": "3ff118e1-bf0a-4328-b5a8-88079d98939f",
"name": "Score Match",
"type": "n8n-nodes-pdfvector.pdfVector",
"typeVersion": 1,
"position": [
1480,
580
],
"credentials": {
"pdfVectorApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "// Get resume data\nconst resumeNode = $('Extract Resume').first();\nconst candidate = resumeNode.json.data || resumeNode.json;\n\n// Get match analysis\nconst matchNode = $('Score Match').first();\nconst analysis = matchNode.json.answer || matchNode.json.markdown || matchNode.json.text || '';\n\n// Trigger data\nconst triggerData = $('New Resume').item.json;\nconst fileName = triggerData.name || 'unknown';\nconst fileId = triggerData.id || '';\n\n// Parse scores\nconst scoreMatch = analysis.match(/MATCH_SCORE[:\\s]+([0-9]+)/i);\nconst matchScore = scoreMatch ? parseInt(scoreMatch[1]) : 0;\n\nconst recMatch = analysis.match(/RECOMMENDATION[:\\s]+([A-Z_]+)/i);\nconst recommendation = recMatch ? recMatch[1] : 'REVIEW_NEEDED';\n\nconst strengthMatch = analysis.match(/TOP_STRENGTHS[:\\s]+([^\\n]+)/i);\nconst strengths = strengthMatch ? strengthMatch[1].trim() : 'N/A';\n\nconst missingMatch = analysis.match(/MISSING_SKILLS[:\\s]+([^\\n]+)/i);\nconst missingSkills = missingMatch ? missingMatch[1].trim() : 'None identified';\n\nconst suggestMatch = analysis.match(/SUGGESTIONS[:\\s]+([\\s\\S]+?)(?=\\n[A-Z_]+:|$)/i);\nconst suggestions = suggestMatch ? suggestMatch[1].trim() : 'N/A';\n\nreturn [{ json: {\n candidateName: candidate.candidateName || 'Unknown',\n email: candidate.email || 'N/A',\n currentTitle: candidate.currentTitle || 'N/A',\n yearsOfExperience:candidate.yearsOfExperience|| 0,\n technicalSkills: candidate.technicalSkills || 'N/A',\n seniorityLevel: candidate.seniorityLevel || 'N/A',\n education: (candidate.educationDegree ||'') + ' ' + (candidate.educationSchool||''),\n matchScore,\n recommendation,\n strengths,\n missingSkills,\n suggestions,\n fullAnalysis: analysis,\n fileName,\n fileId,\n processedAt: new Date().toISOString()\n}}];"
},
"id": "72728ccf-5bb7-4785-aea6-65bf84e71a15",
"name": "Format Results",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1900,
460
]
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "YOUR_SPREADSHEET_ID",
"mode": "list",
"cachedResultName": "Resume Match Results"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Results"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Candidate": "={{ $json.candidateName }}",
"Email": "={{ $json.email }}",
"Current Title": "={{ $json.currentTitle }}",
"Experience Years": "={{ $json.yearsOfExperience }}",
"Match Score": "={{ $json.matchScore }}",
"Recommendation": "={{ $json.recommendation }}",
"Top Strengths": "={{ $json.strengths }}",
"Missing Skills": "={{ $json.missingSkills }}",
"Suggestions": "={{ $json.suggestions }}",
"File Name": "={{ $json.fileName }}",
"Processed Date": "={{ $json.processedAt.split('T')[0] }}"
},
"matchingColumns": [],
"schema": [
{
"id": "Candidate",
"displayName": "Candidate",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Email",
"displayName": "Email",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Current Title",
"displayName": "Current Title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Experience Years",
"displayName": "Experience Years",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Match Score",
"displayName": "Match Score",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Recommendation",
"displayName": "Recommendation",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Top Strengths",
"displayName": "Top Strengths",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Missing Skills",
"displayName": "Missing Skills",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Suggestions",
"displayName": "Suggestions",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "File Name",
"displayName": "File Name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Processed Date",
"displayName": "Processed Date",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
]
},
"options": {}
},
"id": "6c3fe6a2-d467-471a-9c42-051bb8045a22",
"name": "Log to Sheets",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
2100,
340
],
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"authentication": "oAuth2",
"select": "channel",
"channelId": {
"__rl": true,
"value": "YOUR_SLACK_CHANNEL_ID",
"mode": "list",
"cachedResultName": "recruiting"
},
"text": "=\ud83d\udcc4 *Resume Match Result*\n\n*Candidate:* {{ $('Format Results').item.json.candidateName }}\n*Current Title:* {{ $('Format Results').item.json.currentTitle }}\n*Experience:* {{ $('Format Results').item.json.yearsOfExperience }} years\n\n\ud83c\udfaf *Match Score:* {{ $('Format Results').item.json.matchScore }}/100\n*Recommendation:* *{{ $('Format Results').item.json.recommendation }}*\n\n\u2705 *Top Strengths:*\n{{ $('Format Results').item.json.strengths }}\n\n\u26a0\ufe0f *Missing Skills:*\n{{ $('Format Results').item.json.missingSkills }}\n\n\ud83d\udca1 *Suggestions:*\n{{ $('Format Results').item.json.suggestions }}\n\n\ud83d\udd17 <https://drive.google.com/file/d/{{ $('Format Results').item.json.fileId }}/view|View Resume>",
"otherOptions": {}
},
"id": "779ebcd2-ad50-4e64-896e-b140c8a62379",
"name": "Send to Slack",
"type": "n8n-nodes-base.slack",
"typeVersion": 2.2,
"position": [
2100,
580
],
"credentials": {
"slackOAuth2Api": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "append",
"options": {}
},
"id": "f89bdc80-1963-42e6-9f5d-ee1f6a681662",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"typeVersion": 3,
"position": [
1700,
460
]
}
],
"connections": {
"New Resume": {
"main": [
[
{
"node": "Download Resume",
"type": "main",
"index": 0
}
]
]
},
"Download Resume": {
"main": [
[
{
"node": "Extract Resume",
"type": "main",
"index": 0
},
{
"node": "Score Match",
"type": "main",
"index": 0
}
]
]
},
"Extract Resume": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Score Match": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Format Results",
"type": "main",
"index": 0
}
]
]
},
"Format Results": {
"main": [
[
{
"node": "Log to Sheets",
"type": "main",
"index": 0
},
{
"node": "Send to Slack",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"meta": {
"templateCredsSetupCompleted": false
},
"tags": []
}
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.
googleDriveOAuth2ApigoogleSheetsOAuth2ApipdfVectorApislackOAuth2Api
Pro
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About this workflow
Resume Optimizer and Job Match Scorer. Uses googleDriveTrigger, googleDrive, n8n-nodes-pdfvector, googleSheets. Event-driven trigger; 9 nodes.
Source: https://github.com/khanhduyvt0101/workflows/blob/0153ee2efc0f692c931b9bb4c2a04abf11756822/n8n-workflows/resume-job-match-scorer.json — original creator credit. Request a take-down →
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