Automatisierung des Bewerbungsscreenings und der Bewerberbewertung von Gmail zu Airtable mit KI

• •Airtable API Key
• •Google-Konto + Gmail API-Anmeldedaten
• •Google Gemini API Key

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            "Email Address": "={{ $('Combine Job & CV Data').item.json.output.email }}",
            "Applicant Name": "={{ $('Combine Job & CV Data').item.json.output.name }}",
            "Years of Experience": 0
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              "type": "string",
              "display": true,
              "removed": true,
              "readOnly": true,
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              "displayName": "Application ID",
              "defaultMatch": false,
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              "displayName": "Years of Experience",
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              "displayName": "Score",
              "defaultMatch": false,
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              "display": true,
              "options": [
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                  "name": "Pending",
                  "value": "Pending"
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                  "value": "Shortlisted"
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                  "value": "Rejected"
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              "displayName": "Received At",
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              "displayName": "Notes",
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              "display": true,
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              "displayName": "Auto ID",
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              "canBeUsedToMatch": true
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        "content": "## Automate CV Screening and Applicant Scoring from Gmail to Airtable with AI\n**This workflow automates the CV screening process using AI. It monitors a Gmail inbox for incoming applications, extracts and scores CVs based on job requirements stored in Airtable, and logs structured applicant data—saving hours of manual work.**\n\n### How It Works\n1. **Trigger**\n   Watches for new emails with attachments in a Gmail label.\n2. **Extract Data**\n   * Extracts job code from the email subject (e.g., `FN-001`)\n   * Extracts raw text from the attached CV (PDF)\n3. **AI Parsing**\n   Uses Google Gemini to parse the CV and extract:\n   * Name\n   * Email\n   * Years of experience\n   * Skills\n4. **Job Lookup**\n   Uses the extracted job code to retrieve job details from Airtable.\n5. **AI Scoring**\n   * Compares applicant data with job requirements\n   * Scores from 1–100\n   * Generates a brief reasoning summary (in Bahasa Indonesia)\n6. **Log to Airtable**\n   Saves applicant data, score, and AI notes to the \"Applications\" table.\n\n### Setup Instructions\n1. **Prepare Airtable Base**\n   * **Job Posts Table**\n     * Columns: Job Code, Job Title, Required Skills, Minimum Experience, Job Description\n   * **Applications Table**\n     * Columns: Applicant Name, Email, Score, Notes\n     * Include a linked field to the Job Posts table\n2. **Add Credentials in n8n**\n   * Gmail\n   * Google AI (Gemini)\n   * Airtable\n3. **Configure Nodes**\n   * **Trigger**: Set Gmail filter (e.g., `label:job-applications`)\n   * **Extract Job Code**: Verify regex format, default is `([A-Z]{2}-\\d{3})`\n   * **Airtable Nodes**: Select your base and table in:\n     * \"Find Job Post...\"\n     * \"Save Applicant...\"\n4. **Activate Workflow**\n   * Save and enable the workflow\n   * New applications will be processed automatically\n\n"
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        "content": "## Watches for email with attachments"
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        "content": "## Fetch the Job Post In Airtable\nUses Regex to find a code like FN-001 in the email subject and use it to find the Job Post in Airtable\n\n\n"
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        "content": "## Extract and Parse the CV Information\nGemini AI reads the CV text and extracts key info (name, skills, etc.) into structured JSON.\n\n\n"
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        "content": "## Score Applicant with AI\nCompares the CV to the job details and generates a score (1-100) and a summary.\n\n\n"
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