스마트 이력서 추출기: Google Drive에서 Sheet로 + 채용 담당자 Slack 업데이트

• •Slack Bot Token 또는 Webhook URL
• •Google Drive API 인증 정보
• •Google Sheets API 인증 정보
• •OpenAI API Key

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  "name": "Smart CV Extractor: Google Drive to Sheet + Slack Update for Recruiters",
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      "name": "HR Workflow",
      "createdAt": "2025-07-30T05:57:04.113Z",
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        "content": "## 1. Trigger workflow when new profile upload/edit (every 5 mins)\n- Workflow auto trigger when new profile uploaded to Google Drive folder\n- Workflow auto trigger when existing profile upaded in Google Drive folder"
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        "text": "=Please extract all relevant information from this candiadte:\nCV Content:\n===\n{{ $json[\"text\"] }}\n===",
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        "content": "# CV Extractor: Google Drive to Sheet + Slack Update for Recruiters\nThis workflow automatically processes resumes (PDFs) uploaded or updated in a Google Drive folder. It extracts and structures the candidate’s information using AI, then updates or inserts the data into a Google Sheet, acting as a central talent database. Finally, it notifies the hiring team via Slack with a summary. Perfect for HR and TA teams, this automation eliminates the repetitive task of manually copying candidate details from CVs into spreadsheets, saving hours of admin work every week and keeping your hiring pipeline clean, fast, and up to date.\n## 👤 Who’s it for\nThis workflow is designed for:\n- **Recruiters** and **HR coordinators** who manage candidate profiles via Google Drive.\n- **Talent Acquisition teams** who want to automate CV parsing, enrichment, and database updating.\n- **Companies or hiring agencies** using spreadsheets for candidate tracking and CRM-like HR ops.\n## ⚙️ How it works / What it does\nThis smart and fully automated workflow:\n1. **Monitors a Google Drive folder** for any uploaded or updated resumes (PDFs).\n2. **Downloads and extracts** resume content using PDF parsing.\n3. **Sends the raw text to GPT-4**, which returns a structured profile (name, title, experience, skills, etc.).\n4. **Verifies the profile** and transforms it into a clean, row-based format.\n5. **Upserts the candidate profile** into a Google Sheet (insert or update by email).\n6. **Notifies the hiring team** in Slack or email that a profile was added or updated.\n\nThis is a no-touch pipeline to keep your candidate data clean, current, and centralized.\n## 🛠️ How to set up\n### Step 1: Prepare your Google Drive folder\n- Create a folder like `/SmartHR/cv/`\n- Upload sample resumes in `.pdf` format\n\n### Step 2: Create your Google Sheet\n- Columns to include: `Email`, `FullName`, `JobTitle`, `Phone`, `Location`, `Experience`, `Education`, `Skills`, etc.\n- Optional: Add conditional formatting to highlight updates\n\n### Step 3: Connect the n8n workflow\n- Use the **Google Drive Trigger**:\n  - `fileCreated` → new profile uploaded\n  - `fileUpdated` → existing profile modified\n- Use **Google Drive (Download file)** to fetch the resume\n- Use **Extract From PDF** to get raw content\n\n### Step 4: Configure GPT-4 node\n- Use the structured system prompt to extract profile information\n- Use `json parser` node to ensure safe formatting for next steps\n\n### Step 5: Transform & Save\n- Use a Function node to map fields to Google Sheet columns\n- Use `Append or update row` (based on email as unique key)\n- Optionally send Slack or email message to notify hiring team\n\n## ✅ Requirements\n\n- 🔑 OpenAI GPT-4 API key\n- 🟩 n8n Cloud or Self-hosted with:\n  - Google Drive integration\n  - Google Sheets integration\n  - Email/Slack credentials (optional)\n- 📄 Resume files in readable PDF format\n- 📊 Google Sheet prepared with relevant headers\n\n## ✏️ How to customize the workflow\n\n| Part                        | Customization Options                                                                 |\n|----------------------------|----------------------------------------------------------------------------------------|\n| **GPT Prompt**             | Tune for different job levels or fields (e.g., engineers vs marketers)                |\n| **Field Mapping**          | Update transform node to include other profile fields (LinkedIn, portfolio, etc.)     |\n| **Notification**           | Switch to Microsoft Teams, Telegram, or email alerts instead of Slack                 |\n| **Data Store**             | Replace Google Sheet with Airtable, Notion, or database system                        |\n| **Trigger Source**         | Trigger from email attachments or webhook instead of Google Drive if needed           |\n| **Output Format**          | Generate PDF profile cards or summary documents using HTML → PDF node                 |"
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        "jsCode": "const profile = $input.first().json.output\n\n// Get most recent job\nconst work = profile.work_experience || [];\nconst latest = work.length > 0 ? work[0] : {};\n\nfunction formatDate(dateStr) {\n  const date = new Date(dateStr);\n  return isNaN(date) ? dateStr : `${date.getFullYear()}-${(date.getMonth() + 1).toString().padStart(2, '0')}`;\n}\n\nfunction getExperienceYears(experiences) {\n  if (experiences.length === 0) return '';\n  const startDates = experiences.map(e => new Date(e.start_date)).filter(d => !isNaN(d));\n  const endDates = experiences.map(e => new Date(e.end_date === 'Present' ? new Date() : e.end_date)).filter(d => !isNaN(d));\n  if (startDates.length === 0 || endDates.length === 0) return '';\n  const start = new Date(Math.min(...startDates));\n  const end = new Date(Math.max(...endDates));\n  const diffYears = (end - start) / (1000 * 60 * 60 * 24 * 365);\n  return `${Math.floor(diffYears)} years`;\n}\n\nfunction formatEducation(edus) {\n  if (!edus || edus.length === 0) return '';\n  return edus.map(e => {\n    const start = new Date(e.start_year);\n    const end = new Date(e.end_year);\n    const startYear = isNaN(start) ? '' : start.getFullYear();\n    const endYear = isNaN(end) ? '' : end.getFullYear();\n    const duration = (startYear && endYear) ? `(${startYear}–${endYear})` : '';\n    return `${e.degree} of ${e.field_of_study} at ${e.institution} ${duration}`;\n  }).join(' | ');\n}\n\nreturn [\n  {\n    json: {\n      FullName: profile.full_name,\n      JobTitle: profile.job_title,\n      Email: profile.contact.email.toLowerCase(),\n      Phone: profile.contact.phone,\n      Location: profile.contact.address,\n      LinkedIn: profile.contact.linkedin,\n      Education: formatEducation(profile.education),\n      Summary: profile.summary,\n      MostRecentCompany: latest.company || '',\n      MostRecentPosition: latest.position || '',\n      StartDate: formatDate(latest.start_date || ''),\n      EndDate: formatDate(latest.end_date || ''),\n      Skills: (profile.skills?.technical_skills || []).slice(0, 3).join(', '),\n      Experience: getExperienceYears(work), \n      ProfileUrl: $('Get profile detail').first().json.webContentLink\n    }\n  }\n];"
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        "content": "## 2. Extract profile information\n- Download profile form Google Drive\n- Extract profile information from PDF"
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        "content": "## 3. Profile Analyzer\n- Smart agent extract all the information from candidate profile and transform to expected output"
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              "required": false,
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              "canBeUsedToMatch": true
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              "canBeUsedToMatch": true
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              "displayName": "Experience",
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              "canBeUsedToMatch": true
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              "canBeUsedToMatch": true
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      "credentials": {
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          "name": "Google Sheets account 2"
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