{ "name": "Case 81 - Candidate Job tracker automation", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * *" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1072, -160 ], "id": "0ef2c398-e450-4c87-8be9-fbca0e19cf27", "name": "Daily Schedule - 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "buIWk2uOUzTmcLsuB", "mode": "list", "cachedResultName": "Linkedin Post Search Scraper (No Cookies) (harvestapi/linkedin-post-search)", "cachedResultUrl": "https://console.apify.com/actors/buIWk2uOUzTmcLsuB/input" }, "customBody": "{\n \"authorUrls\": [\n \"https://www.linkedin.com/company/microsoft\",\n \"https://www.linkedin.com/company/google\",\n \"https://www.linkedin.com/company/meta\",\n \"https://www.linkedin.com/company/amazon\",\n \"https://www.linkedin.com/company/apple\"\n ],\n \"searchQueries\": [\n \"Product Manager\",\n \"Senior Product Manager\",\n \"Principal Product Manager\"\n ],\n \"maxPosts\": 30,\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -896, -160 ], "id": "f98e4b98-2d9b-4d83-8434-f916c8026606", "name": "Scrape LinkedIn Job Postings", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -720, -160 ], "id": "e03aa638-ebca-430c-9f03-3ba1555baab5", "name": "Get Dataset Items", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Job Posting Validation Expert.\n\nAnalyze LinkedIn posts to determine if they are genuine job postings.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_job_posting\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine job posting):\n✅ Announces specific open position with job title\n✅ \"We're hiring for [role]\" messaging\n✅ Lists job requirements or qualifications\n✅ Mentions apply link or application process\n✅ Contains job description details\n✅ Recruiting team posting about open roles\n✅ \"Join our team as [role]\" announcements\n✅ Career page links to specific positions\n✅ Job posting with application instructions\n\nCriteria for \"no\" (NOT a job posting):\n❌ General \"we're growing\" without specific role\n❌ Employee spotlight or team celebration posts\n❌ Company culture posts without hiring intent\n❌ Metaphorical use of \"hiring\" or \"looking for\"\n❌ Reposting someone else's job search\n❌ Career advice posts\n❌ Recruiting tips for other recruiters\n❌ Alumni updates mentioning jobs casually\n❌ Already filled positions or old announcements\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear job postings)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require actual job posting with apply info\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's a genuine job posting:\n\nAuthor: {{ $json.author.name }}\nPost Date: {{ $json.postedAt.date }}\nPost Content: {{ $json.content }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -576, -160 ], "id": "cc95afae-55a4-4326-b750-85b5196bac98", "name": "AI Validation Filter", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -304, -160 ], "id": "32a6046c-2bc8-4f5d-a5ad-816805acaf44", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_job_posting", "name": "is_job_posting", "value": "={{ $json.is_job_posting }}", "type": "string" }, { "id": "confidence", "name": "confidence", "value": "={{ $json.confidence }}", "type": "number" }, { "id": "reason", "name": "reason", "value": "={{ $json.reason }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -128, -160 ], "id": "e723cfdb-fc35-4fc4-b8db-85c3c9c4cd9b", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_job_posting }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 64, -160 ], "id": "57b6a018-b090-4ee4-afde-7b2f4e4c4c3a", "name": "Filter Only Job Postings" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Job Information Extraction Expert.\n\nExtract structured job posting information from LinkedIn posts.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"job_title\": \"exact role title\",\n \"company\": \"company name\",\n \"location_city\": \"City name if mentioned, otherwise 'Not specified'\",\n \"location_type\": \"Remote|Hybrid|On-site|Not specified\",\n \"seniority_level\": \"Entry|Mid|Senior|Lead|Principal|Director|VP|Executive|Not specified\",\n \"employment_type\": \"Full-time|Part-time|Contract|Internship|Not specified\",\n \"key_requirements\": [\"requirement 1\", \"requirement 2\", \"requirement 3\"],\n \"key_responsibilities\": [\"responsibility 1\", \"responsibility 2\", \"responsibility 3\"],\n \"salary_mentioned\": \"Yes - [range]|No\",\n \"application_deadline\": \"YYYY-MM-DD if mentioned, otherwise 'Not specified'\",\n \"match_score\": \"High|Medium|Low - how well this matches a Product Manager profile\"\n}\n\nExtraction Rules:\n1. job_title: Extract exact role name from post\n2. company: Extract company name\n3. location_city: Extract city if mentioned (e.g., \"Seattle\", \"Remote\")\n4. location_type: Determine work arrangement\n5. seniority_level: Infer from title (\"Senior\", \"Lead\", \"Principal\", etc.)\n6. employment_type: Extract if mentioned\n7. key_requirements: Extract top 3-5 required skills/qualifications\n8. key_responsibilities: Extract top 3-5 job duties\n9. salary_mentioned: Include range if stated\n10. application_deadline: Extract if mentioned\n11. match_score:\n - High = Perfect match for Product Manager role\n - Medium = Related but different focus\n - Low = Tangential or entry-level\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract job information from this LinkedIn post:\n\nCompany: {{ $('Get Dataset Items').item.json.author.name }}\nPost Date: {{ $('Get Dataset Items').item.json.postedAt.date }}\nPost Content: {{ $('Get Dataset Items').item.json.content }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 240, -160 ], "id": "c53d5bb0-a826-41b9-8e8e-0792084233e0", "name": "AI Extract Job Details", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 528, -160 ], "id": "3e8a332a-03a2-455b-a429-463ce84a39ad", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "found_date", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "job_title", "name": "job_title", "value": "={{ $json.job_title }}", "type": "string" }, { "id": "company", "name": "company", "value": "={{ $json.company }}", "type": "string" }, { "id": "location_city", "name": "location_city", "value": "={{ $json.location_city }}", "type": "string" }, { "id": "location_type", "name": "location_type", "value": "={{ $json.location_type }}", "type": "string" }, { "id": "seniority", "name": "seniority_level", "value": "={{ $json.seniority_level }}", "type": "string" }, { "id": "employment", "name": "employment_type", "value": "={{ $json.employment_type }}", "type": "string" }, { "id": "requirements", "name": "key_requirements", "value": "={{ $json.key_requirements }}", "type": "array" }, { "id": "responsibilities", "name": "key_responsibilities", "value": "={{ $json.key_responsibilities }}", "type": "array" }, { "id": "salary", "name": "salary_mentioned", "value": "={{ $json.salary_mentioned }}", "type": "string" }, { "id": "deadline", "name": "application_deadline", "value": "={{ $json.application_deadline }}", "type": "string" }, { "id": "match", "name": "match_score", "value": "={{ $json.match_score }}", "type": "string" }, { "id": "application_status", "name": "application_status", "value": "Not Applied", "type": "string" }, { "id": "notes", "name": "notes", "value": "", "type": "string" }, { "id": "post_content", "name": "post_content", "value": "={{ $('Get Dataset Items').item.json.content || '' }}", "type": "string" }, { "id": "post_date", "name": "post_date", "value": "={{ $('Get Dataset Items').item.json.postedAt?.date || '' }}", "type": "string" }, { "id": "post_url", "name": "post_url", "value": "={{ $('Get Dataset Items').item.json.linkedinUrl || '' }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 672, -160 ], "id": "273a4ce8-f13f-4c44-b79c-80df71dbd74c", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1NUJ4l-K8SKj1LICY80B99m4-FvB2_xPRYVfNed-ng44", "mode": "list", "cachedResultName": "Case 81 - Candidate Job tracker Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1NUJ4l-K8SKj1LICY80B99m4-FvB2_xPRYVfNed-ng44/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1NUJ4l-K8SKj1LICY80B99m4-FvB2_xPRYVfNed-ng44/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Found_Date": "={{ $json.found_date }}", "Job_Title": "={{ $json.job_title }}", "Company": "={{ $json.company }}", "Location_City": "={{ $json.location_city }}", "Location_Type": "={{ $json.location_type }}", "Seniority_Level": "={{ $json.seniority_level }}", "Employment_Type": "={{ $json.employment_type }}", "Key_Requirements": "={{ $json.key_requirements.join('; ') }}", "Key_Responsibilities": "={{ $json.key_responsibilities.join('; ') }}", "Salary_Mentioned": "={{ $json.salary_mentioned }}", "Application_Deadline": "={{ $json.application_deadline }}", "Match_Score": "={{ $json.match_score }}", "Application_Status": "={{ $json.application_status }}", "Notes": "={{ $json.notes }}", "Post_Date": "={{ $json.post_date }}", "Post_URL": "={{ $json.post_url }}", "Post_Content": "={{ $json.post_content }}" }, "matchingColumns": [], "schema": [ { "id": "Found_Date", "displayName": "Found_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Job_Title", "displayName": "Job_Title", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Company", "displayName": "Company", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Location_City", "displayName": "Location_City", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Location_Type", "displayName": "Location_Type", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Seniority_Level", "displayName": "Seniority_Level", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Employment_Type", "displayName": "Employment_Type", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Key_Requirements", "displayName": "Key_Requirements", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Key_Responsibilities", "displayName": "Key_Responsibilities", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Salary_Mentioned", "displayName": "Salary_Mentioned", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Application_Deadline", "displayName": "Application_Deadline", "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": "Application_Status", "displayName": "Application_Status", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Notes", "displayName": "Notes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Date", "displayName": "Post_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_URL", "displayName": "Post_URL", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Content", "displayName": "Post_Content", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 832, -160 ], "id": "7e4bb18b-13eb-4d01-a959-5611153e6b5e", "name": "Log to My Job Tracker", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate all items from Google Sheets into email-ready summary\nconst allItems = $input.all();\n\n// Count by company\nconst companyCounts = {};\nallItems.forEach(item => {\n const company = item.json.Company || 'Unknown';\n companyCounts[company] = (companyCounts[company] || 0) + 1;\n});\n\nconst companyBreakdown = Object.entries(companyCounts)\n .sort((a, b) => b[1] - a[1]);\n\n// Count by match score\nconst matchCounts = {};\nallItems.forEach(item => {\n const match = item.json.Match_Score || 'Unknown';\n matchCounts[match] = (matchCounts[match] || 0) + 1;\n});\n\n// Count by location type\nconst locationCounts = {};\nallItems.forEach(item => {\n const locType = item.json.Location_Type || 'Not specified';\n locationCounts[locType] = (locationCounts[locType] || 0) + 1;\n});\n\n// High match jobs (priority)\nconst highMatchJobs = allItems.filter(item => \n item.json.Match_Score === 'High'\n);\n\n// Jobs with salary mentioned\nconst salaryJobs = allItems.filter(item => \n item.json.Salary_Mentioned && item.json.Salary_Mentioned.toLowerCase().includes('yes')\n);\n\n// Count by seniority\nconst seniorityCounts = {};\nallItems.forEach(item => {\n const seniority = item.json.Seniority_Level || 'Not specified';\n seniorityCounts[seniority] = (seniorityCounts[seniority] || 0) + 1;\n});\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const matchColor = data.Match_Score === 'High' ? '#28a745' : \n data.Match_Score === 'Medium' ? '#ffc107' : '#6c757d';\n \n return `\n \n ${data.Job_Title || 'N/A'}\n ${data.Company || 'N/A'}\n ${data.Location_Type || 'N/A'}\n ${data.Seniority_Level || 'N/A'}\n ${data.Match_Score || 'N/A'}\n ${data.Application_Deadline || 'N/A'}\n View\n \n `;\n}).join('');\n\n// Return single aggregated item\nreturn {\n json: {\n report_date: new Date().toISOString().split('T')[0],\n total_jobs_found: allItems.length,\n company_breakdown: companyBreakdown,\n match_breakdown: Object.entries(matchCounts),\n location_breakdown: Object.entries(locationCounts),\n seniority_breakdown: Object.entries(seniorityCounts),\n high_match_count: highMatchJobs.length,\n salary_mentioned_count: salaryJobs.length,\n table_rows: tableRows,\n all_jobs: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1008, -160 ], "id": "baa21c0a-6acb-4537-a8fe-71be809b87f0", "name": "Aggregate Daily Summary" }, { "parameters": { "sendTo": "candidate@email.com", "subject": "=📊 New Jobs Found Today: {{ $json.report_date }}", "message": "=NEW JOB OPPORTUNITIES FOUND\n================================================\nDate: {{ $json.report_date }}\n\nOVERVIEW:\nTotal New Jobs Found: {{ $json.total_jobs_found }}\nHigh Match Jobs: {{ $json.high_match_count }}\nJobs with Salary Info: {{ $json.salary_mentioned_count }}\n\nJOBS BY COMPANY:\n{{ $json.company_breakdown.map(([company, count]) => company + ': ' + count + ' jobs').join('\\n') }}\n\nMATCH SCORE BREAKDOWN:\n{{ $json.match_breakdown.map(([match, count]) => match + ': ' + count).join('\\n') }}\n\nLOCATION TYPE:\n{{ $json.location_breakdown.map(([type, count]) => type + ': ' + count).join('\\n') }}\n\nSENIORITY LEVEL:\n{{ $json.seniority_breakdown.map(([level, count]) => level + ': ' + count).join('\\n') }}\n\n🎯 PRIORITY:\n{{ $json.high_match_count }} high-match jobs require your attention!\n\nFull job details in your Google Sheets tracker.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1184, -160 ], "id": "6914828c-0010-4bde-a6b4-90b1bc113edf", "name": "Send Daily Job Summary Email", "webhookId": "4389dcc8-e294-44d3-b8f8-99519c76a508", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Daily Schedule - 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Job Postings", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Job Postings": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "AI Validation Filter", "type": "main", "index": 0 } ] ] }, "AI Validation Filter": { "main": [ [ { "node": "Parse AI Validation", "type": "main", "index": 0 } ] ] }, "Parse AI Validation": { "main": [ [ { "node": "Edit Fields - Validation", "type": "main", "index": 0 } ] ] }, "Edit Fields - Validation": { "main": [ [ { "node": "Filter Only Job Postings", "type": "main", "index": 0 } ] ] }, "Filter Only Job Postings": { "main": [ [ { "node": "AI Extract Job Details", "type": "main", "index": 0 } ] ] }, "AI Extract Job Details": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Log to My Job Tracker", "type": "main", "index": 0 } ] ] }, "Log to My Job Tracker": { "main": [ [ { "node": "Aggregate Daily Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Daily Summary": { "main": [ [ { "node": "Send Daily Job Summary Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "9be0117d-73c6-4eb8-90f3-d8e569d89da6", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "rE7bs4IT0sJoH7QH", "tags": [] }