{"workflow":{"id":13104,"name":"Track job applications and prep interviews with Notion and GPT-5-mini","views":175,"recentViews":0,"totalViews":175,"createdAt":"2026-01-29T18:40:47.280Z","description":"# AI job application tracker and interview prep assistant\n\n**Categories:** AI, Productivity, Career\n\nTransform your job search from chaos to clarity. This workflow automatically tracks every application, researches companies, and prepares you for interviews with AI-generated materials — all saved to a visual Notion pipeline.\n\n## Benefits\n\n- **Never lose track of applications** — Every job gets logged automatically with status tracking\n- **Walk into interviews prepared** — AI generates likely questions, talking points, and company insights\n- **Save 2-3 hours per application** — Research and prep that took hours now happens in seconds\n- **Automated follow-up reminders** — Get notified when it's time to send that follow-up email\n\n## How It Works\n\n1. **Submit application** via form (paste job URL) or forward your confirmation email\n2. **AI extracts job details** — company, role, requirements, salary, location\n3. **Interview prep generates** — likely questions, suggested talking points, questions to ask\n4. **Everything saves to Notion** — visual pipeline with follow-up dates\n5. **Daily reminders** — Slack notification for applications needing follow-up\n\n## Required Setup\n\n### Notion Database Structure\n\nCreate a Notion database with these properties:\n\n| Property Name | Type | Purpose |\n|---------------|------|---------|\n| Company | Title | Company name |\n| Role | Text | Job title |\n| Status | Select | Applied, Interviewing, Offer, Rejected, Ghosted |\n| Applied Date | Date | When you applied |\n| Salary Range | Text | Compensation info |\n| Job URL | URL | Link to posting |\n| Location | Text | City/Remote |\n| Interview Prep | Text | AI-generated prep materials |\n| Follow Up Date | Date | When to follow up |\n| Requirements | Text | Key job requirements |\n| Notes | Text | Your personal notes |\n\n### Credentials Needed\n\n- **OpenAI API** — For job extraction and interview prep generation\n- **Notion** — Connected to your job tracker database\n- **Gmail** (optional) — For email forwarding and confirmations\n- **Slack** (optional) — For follow-up reminders\n\n## Use Cases\n\n- **Active job seekers** — Track 20+ applications without spreadsheet chaos\n- **Career changers** — Get AI help understanding new industry requirements\n- **Recent graduates** — Build interview confidence with generated prep materials\n- **Passive searchers** — Keep a running list with minimal effort\n\n## Set Up Steps\n\n1. **Import the workflow** into your n8n instance\n2. **Create Notion database** with the structure above (or duplicate template)\n3. **Connect OpenAI credentials** — API key with GPT-5 access recommended\n4. **Connect Notion credentials** — Select your job tracker database\n5. **Configure Gmail trigger** (optional) — Set filter for forwarded job emails\n6. **Set up Slack webhook** (optional) — Choose channel for reminders\n7. **Test with a sample job posting** — Paste a LinkedIn or company careers page URL\n\n### Customization Tips\n\n- Edit the interview prep prompt to mention your background/experience\n- Adjust the follow-up reminder interval (default: 7 days)\n- Add additional research sources (LinkedIn, Crunchbase) for richer company data\n- Connect to calendar to block interview prep time automatically\n\n## Technical Notes\n\n- Uses Jina AI Reader for web scraping (free tier available)\n- GPT-5-mini recommended for cost efficiency\n- Notion text fields limited to 2000 characters (full prep saved)\n- Daily check runs at 9 AM (configurable)\n\n**Difficulty Level:** Intermediate  \n**Estimated Setup Time:** 30-45 minutes  \n**Monthly Operating Cost:** ~$2-5 (based on 50 applications/month with GPT-5-mini)\n","workflow":{"id":"0xugVH7Fxq8N9-RQiDPnw","meta":{"instanceId":"cbeebdeaf8bbc721fb723a5ddd32639a318ef9cb6556e00e4d2dc7a2110a9ea6"},"name":"AI job application tracker and interview prep assistant","tags":[{"id":"dK4BDm3KhXP6KKmp","name":"AI","createdAt":"2026-01-29T01:52:31.750Z","updatedAt":"2026-01-29T01:52:31.750Z"},{"id":"ZBrBt6NFsk8YYyHQ","name":"Productivity","createdAt":"2026-01-29T18:28:46.563Z","updatedAt":"2026-01-29T18:28:46.563Z"},{"id":"nvYdDZDOvQ2pkTxp","name":"Job Search","createdAt":"2026-01-29T18:28:46.536Z","updatedAt":"2026-01-29T18:28:46.536Z"}],"nodes":[{"id":"ebc3b9c8-f70c-42eb-b1a9-6f8ee2cdfb8c","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-672,0],"parameters":{"width":420,"height":996,"content":"## AI Job Application Tracker & Interview Prep Assistant\n\n### How it works\nThis workflow helps you stay organized during your job search by automatically tracking applications and preparing you for interviews with AI-powered research.\n\n1. **Submit application** via form or forward confirmation email\n2. **Auto-extract** job details (company, role, requirements)\n3. **Generate interview prep** including likely questions and talking points\n4. **Track in Notion** with visual pipeline and follow-up reminders\n\n### Setup steps\n1. Create a Notion database with required properties (see template below)\n2. Configure OpenAI API credentials\n3. Set up Gmail/Email trigger for forwarded applications\n4. Customize the interview prep prompt for your background\n5. Test with a sample job posting URL\n\n### Required Notion properties\n- Company (Title)\n- Role (Text)\n- Status (Select: Applied, Interviewing, Offer, Rejected)\n- Applied Date (Date)\n- Salary Range (Text)\n- Job URL (URL)\n- Company Research (Text)\n- Interview Prep (Text)\n- Follow Up Date (Date)\n- Notes (Text)"},"typeVersion":1},{"id":"23ea1e1f-afed-49e4-9227-e2bbd00563e7","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-208,128],"parameters":{"color":7,"width":268,"height":604,"content":"### 📥 Input Methods\nTwo ways to add applications:\n1. **Manual form** - paste job URL\n2. **Email forward** - forward confirmation emails"},"typeVersion":1},{"id":"bc82466f-648d-4bed-b7b5-03dac64d5051","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[848,256],"parameters":{"color":7,"width":488,"height":388,"content":"### 🔍 Data Extraction\nExtracts job details from URL or email content using AI"},"typeVersion":1},{"id":"6afb9c45-ba8b-43b8-a396-0b20f31e30bb","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[1456,256],"parameters":{"color":7,"width":296,"height":452,"content":"### 🎯 Interview Prep\nAI generates customized questions and talking points"},"typeVersion":1},{"id":"73ea0e1b-9df1-4270-b65d-391e407f8660","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[1792,224],"parameters":{"color":7,"width":712,"height":484,"content":"### 📊 Tracking & Alerts\nSaves to Notion and schedules follow-up reminders"},"typeVersion":1},{"id":"4d3ed59b-c091-4fde-ba19-92ef58efd151","name":"Receive Job Application Form","type":"n8n-nodes-base.webhook","position":[-144,336],"webhookId":"job-application-form","parameters":{"path":"job-application","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2},{"id":"7766a013-158c-43b3-bfd8-35934722ee97","name":"Check for Forwarded Applications","type":"n8n-nodes-base.gmailTrigger","position":[-144,544],"parameters":{"filters":{"readStatus":"unread"},"pollTimes":{"item":[{"mode":"everyMinute"}]}},"typeVersion":1},{"id":"09e40c45-7e27-43f0-9c82-d182f634892d","name":"Route by Input Source","type":"n8n-nodes-base.switch","position":[128,464],"parameters":{"rules":{"values":[{"outputKey":"From Form","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"notEmpty"},"leftValue":"={{ $json.body?.jobUrl }}","rightValue":""}]},"renameOutput":true},{"outputKey":"From Email","conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"operator":{"type":"string","operation":"notEmpty"},"leftValue":"={{ $json.textPlain }}","rightValue":""}]},"renameOutput":true}]},"options":{}},"typeVersion":3},{"id":"428b76c6-2a09-4de5-9645-d5add52c3eb2","name":"Scrape Job Posting URL","type":"n8n-nodes-base.httpRequest","position":[512,224],"parameters":{"url":"=https://r.jina.ai/{{ $json.body.jobUrl }}","method":"POST","options":{"response":{"response":{"responseFormat":"text"}}}},"typeVersion":4.2},{"id":"68013cd7-40cf-4d82-85c5-eb59cb46f269","name":"Extract Job Details with AI","type":"@n8n/n8n-nodes-langchain.openAi","position":[896,480],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-5-mini","cachedResultName":"GPT-5-MINI"},"options":{},"messages":{"values":[{"role":"system","content":"=You are a job application data extractor. Extract structured information from job postings or application confirmation emails. This is your source {{ $('Scrape Job Posting URL').item.json.data }}\n\nAlways respond with valid JSON only, no markdown or explanation. "},{"content":"Extract the following information from this content:\n\n{{ $json.data || $json.textPlain }}\n\n---\n\nRespond with this exact JSON structure:\n{\n  \"company\": \"Company name\",\n  \"role\": \"Job title\",\n  \"location\": \"City, State or Remote\",\n  \"salaryRange\": \"Salary range if mentioned, or 'Not specified'\",\n  \"jobType\": \"Full-time/Part-time/Contract\",\n  \"requirements\": [\"Key requirement 1\", \"Key requirement 2\", \"Key requirement 3\"],\n  \"responsibilities\": [\"Main responsibility 1\", \"Main responsibility 2\"],\n  \"benefits\": [\"Benefit 1\", \"Benefit 2\"],\n  \"applicationDeadline\": \"Date if mentioned, or null\",\n  \"companyDescription\": \"Brief company description from posting\"\n}"}]}},"credentials":{"openAiApi":{"id":"ZJV4CFum5k6W5d5S","name":"n8n free OpenAI API credits"}},"typeVersion":1.7},{"id":"181e69fd-c26b-476f-8cd3-88aa9cbe35ea","name":"Parse and Structure Job Data","type":"n8n-nodes-base.code","position":[1200,480],"parameters":{"jsCode":"/*\n * Parse AI Response to Structured Data\n * =====================================\n * Purpose: Takes the AI's response (which is text/JSON) and converts it\n *          into clean, structured data that other nodes can use.\n * \n * Input: Raw AI response containing job details as JSON text\n * Output: Clean job object with company, role, dates, etc.\n * \n * ⚙️ CONFIGURATION\n * ----------------\n * DAYS_UNTIL_FOLLOWUP: Change this number to set when you want\n *                      to be reminded to follow up (default: 7 days)\n */\n\nconst DAYS_UNTIL_FOLLOWUP = 7;  // ← Change this to adjust follow-up timing\n\n// ==================== CODE START ====================\n\n/*\n * STEP 1: Get the data from the previous node\n * -------------------------------------------\n * $input.first() = gets the first item from the previous node\n * .json = accesses the JSON data inside that item\n */\nconst input = $input.first().json;\n\n/*\n * STEP 2: Parse the AI response\n * -----------------------------\n * The AI returns text that looks like JSON, but it's actually a string.\n * We need to convert it to a real JavaScript object we can work with.\n * \n * Sometimes the AI wraps its response in ```json``` markdown blocks,\n * so we need to clean those out first.\n */\nlet jobData;\n\ntry {\n  // Check if the AI response is a string (most common case)\n  if (typeof input.message?.content === 'string') {\n    \n    /*\n     * Clean up the response:\n     * - Remove ```json at the start\n     * - Remove ``` at the end\n     * - Remove extra whitespace\n     */\n    const cleanJson = input.message.content\n      .replace(/```json\\n?/g, '')  // Remove opening code block\n      .replace(/```\\n?/g, '')       // Remove closing code block\n      .trim();                       // Remove extra spaces\n    \n    // Convert the clean string to a JavaScript object\n    jobData = JSON.parse(cleanJson);\n    \n  } else {\n    /*\n     * If it's already an object (rare), use it directly.\n     * The || input part is a fallback if message.content doesn't exist.\n     */\n    jobData = input.message?.content || input;\n  }\n  \n} catch (error) {\n  /*\n   * ERROR HANDLING\n   * --------------\n   * If something goes wrong (bad JSON, unexpected format), \n   * we return an error object instead of crashing the workflow.\n   * \n   * This lets you see what went wrong in the n8n execution log.\n   */\n  return [{\n    json: {\n      error: true,\n      message: 'Failed to parse AI response',\n      rawResponse: input.message?.content  // Include raw response for debugging\n    }\n  }];\n}\n\n/*\n * STEP 3: Add metadata and dates\n * ------------------------------\n * Now we enrich the job data with tracking information:\n * - When we applied\n * - When to follow up\n * - Current status\n * - Link to the original job posting\n */\n\n// Get today's date\nconst today = new Date();\n\n// Calculate follow-up date (today + DAYS_UNTIL_FOLLOWUP)\nconst followUpDate = new Date(today);\nfollowUpDate.setDate(followUpDate.getDate() + DAYS_UNTIL_FOLLOWUP);\n\n/*\n * STEP 4: Return the final structured data\n * ----------------------------------------\n * We combine:\n * - ...jobData = all the fields extracted by AI (company, role, etc.)\n * - appliedDate = today's date in YYYY-MM-DD format\n * - followUpDate = when to send follow-up email\n * - status = initial status is always \"Applied\"\n * - jobUrl = the original URL (from form) or note that it came from email\n * \n * The $('Node Name') syntax lets us reference data from other nodes.\n */\nreturn [{\n  json: {\n    ...jobData,  // Spread operator: includes all AI-extracted fields\n    \n    // Format dates as YYYY-MM-DD (e.g., \"2025-01-29\")\n    appliedDate: today.toISOString().split('T')[0],\n    followUpDate: followUpDate.toISOString().split('T')[0],\n    \n    // Default status for new applications\n    status: 'Applied',\n    \n    // Get the job URL from the form input, or note it came from email\n    jobUrl: $('Receive Job Application Form').first().json.body?.jobUrl || 'From email'\n  }\n}];\n\n// ==================== CODE END ====================\n\n/*\n * EXAMPLE OUTPUT\n * --------------\n * This node will output something like:\n * \n * {\n *   \"company\": \"Acme Corp\",\n *   \"role\": \"Software Engineer\",\n *   \"location\": \"Remote\",\n *   \"salaryRange\": \"$120k - $150k\",\n *   \"requirements\": [\"JavaScript\", \"React\", \"Node.js\"],\n *   \"appliedDate\": \"2025-01-29\",\n *   \"followUpDate\": \"2025-02-05\",\n *   \"status\": \"Applied\",\n *   \"jobUrl\": \"https://acme.com/careers/123\"\n * }\n * \n * TROUBLESHOOTING\n * ---------------\n * - If you see \"Failed to parse AI response\": Check the AI node's output\n *   in the execution log. The AI might have returned an unexpected format.\n * \n * - If dates look wrong: Make sure your n8n instance timezone is correct.\n * \n * - To change follow-up timing: Edit DAYS_UNTIL_FOLLOWUP at the top.\n */"},"typeVersion":2},{"id":"217da761-bf2a-49c0-8878-e26cda22f3ba","name":"Generate Interview Prep Materials","type":"@n8n/n8n-nodes-langchain.openAi","position":[1488,480],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"gpt-5-mini","cachedResultName":"GPT-5-MINI"},"options":{},"messages":{"values":[{"role":"system","content":"You are a career coach helping job seekers prepare for interviews. Provide actionable, specific insights."},{"content":"Based on this job posting and company research, prepare interview materials.\n\n## Job Details\n- Company: {{ $json.company }}\n- Role: {{ $json.role }}\n- Requirements: {{ $json.requirements?.join(', ') || 'Not specified' }}\n- Responsibilities: {{ $json.responsibilities?.join(', ') || 'Not specified' }}\n\n## Company Research\n{{ $('Research Company Online').first().json.data?.substring(0, 3000) || 'No additional research available' }}\n\n---\n\nProvide:\n\n### 1. LIKELY INTERVIEW QUESTIONS (5-7 questions)\nBased on the role requirements, what questions will they probably ask?\n\n### 2. SUGGESTED TALKING POINTS\nWhat specific experiences or skills should the candidate emphasize?\n\n### 3. QUESTIONS TO ASK THEM\n3-5 thoughtful questions that show genuine interest and research.\n\n### 4. COMPANY CULTURE INSIGHTS\nBased on the research, what's the company culture like? Any red flags or positives?\n\n### 5. SALARY NEGOTIATION NOTES\nAny insights on compensation, benefits, or negotiation leverage?\n\nBe specific and actionable. 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