{ "name": "Case 79 - Talent Acquisition - Passive Candidate Identifier", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1200, -176 ], "id": "3b037cc3-65e2-488b-ab81-cd226bc7b1ae", "name": "Weekly Schedule - Monday 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/google\",\n \"https://www.linkedin.com/company/microsoft\",\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 \"burned out\",\n \"looking for change\",\n \"open to opportunities\",\n \"what's next\",\n \"seeking\",\n \"new challenge\"\n ],\n \"maxPosts\": 50,\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -1008, -176 ], "id": "99fa80f8-e221-4194-a690-2f3b3ccc4fc8", "name": "Scrape LinkedIn Passive Candidates", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -816, -176 ], "id": "84cafa06-7336-437b-9133-db054d6e1318", "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 Passive Candidate Signal Validation Expert.\n\nAnalyze LinkedIn posts to determine if they indicate genuine passive candidate signals (someone open to new opportunities).\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_passive_candidate\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine passive candidate signal):\n✅ Expresses career dissatisfaction or burnout\n✅ Mentions \"looking for change\" or \"what's next\"\n✅ States \"open to opportunities\" explicitly\n✅ Describes seeking new challenges or growth\n✅ Discusses career crossroads or transitions\n✅ Mentions wanting better work-life balance\n✅ Expresses frustration with current role/company\n✅ Asks for career advice or recommendations\n\nCriteria for \"no\" (NOT a passive candidate):\n❌ Celebrating current job or company\n❌ Recently started new role (within 6 months)\n❌ Recruiter or HR posting about hiring\n❌ Giving career advice to others\n❌ Casual mention without actual job search intent\n❌ Student or recent grad seeking first job\n❌ Freelancer/consultant promoting services\n❌ Retired or not in workforce\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear passive candidate signals)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require actual job dissatisfaction or openness to change\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's a passive candidate signal:\n\nAuthor: {{ $json.author.name }}\nAuthor Info: {{ $json.author.info }}\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": [ -624, -176 ], "id": "9ae67578-f88f-4751-b62b-2501070934e4", "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, -176 ], "id": "bc2cdbbb-bc10-4d33-9713-46a048baf8e6", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_passive_candidate", "name": "is_passive_candidate", "value": "={{ $json.is_passive_candidate }}", "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": [ -96, -176 ], "id": "fb8738f5-caa2-49a0-aba7-02438eefaee8", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_passive_candidate }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 96, -176 ], "id": "f56e4ef2-f79a-4774-8861-a917316efaa0", "name": "Filter Only Passive Candidates" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Talent Acquisition Intelligence Analyst.\n\nExtract structured passive candidate information from LinkedIn posts.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"candidate_name\": \"Person's name who posted\",\n \"current_company\": \"Their current employer\",\n \"current_role\": \"Their job title if mentioned or inferred from profile\",\n \"dissatisfaction_reason\": \"Why they're unhappy or seeking change (max 150 chars)\",\n \"skill_set\": [\"skill 1\", \"skill 2\", \"skill 3\"],\n \"desired_next_role\": \"What type of role they want next (if mentioned)\",\n \"location\": \"Their location if mentioned\",\n \"poaching_difficulty\": \"Easy|Medium|Hard - based on signals\"\n}\n\nExtraction Rules:\n1. candidate_name: Extract from author info\n2. current_company: Extract from author profile\n3. current_role: Extract from author info or infer from post context\n4. dissatisfaction_reason: Summarize their pain points or reasons for wanting change\n5. skill_set: Extract skills mentioned or inferred from their role/industry\n6. desired_next_role: Extract if they mention what they're looking for (e.g., \"leadership role\", \"startup environment\")\n7. location: Extract city/region if mentioned\n8. poaching_difficulty: \n - Easy = Explicitly open to opportunities, very dissatisfied\n - Medium = Exploring options, some dissatisfaction\n - Hard = Subtle hints, would need strong offer\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract passive candidate intelligence from this LinkedIn post:\n\nAuthor: {{ $('Get Dataset Items').item.json.author.name }}\nAuthor Info: {{ $('Get Dataset Items').item.json.author.info }}\nPost Date: {{ $('Get Dataset Items').item.json.postedAt.date }}\nPost Content: {{ $('Get Dataset Items').item.json.content }}\nEngagement: {{ $('Get Dataset Items').item.json.engagement.likes }} likes, {{ $('Get Dataset Items').item.json.engagement.comments }} comments\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 272, -176 ], "id": "768f7bb5-5eac-45c3-a953-4ae4014642f2", "name": "AI Extract Candidate Intelligence", "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": [ 560, -176 ], "id": "5d2ba15a-5ce3-4fde-8696-b256c2157a11", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "analysis_timestamp", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "candidate_name", "name": "candidate_name", "value": "={{ $json.candidate_name }}", "type": "string" }, { "id": "current_company", "name": "current_company", "value": "={{ $json.current_company }}", "type": "string" }, { "id": "current_role", "name": "current_role", "value": "={{ $json.current_role }}", "type": "string" }, { "id": "dissatisfaction", "name": "dissatisfaction_reason", "value": "={{ $json.dissatisfaction_reason }}", "type": "string" }, { "id": "skills", "name": "skill_set", "value": "={{ $json.skill_set }}", "type": "array" }, { "id": "desired_role", "name": "desired_next_role", "value": "={{ $json.desired_next_role }}", "type": "string" }, { "id": "location", "name": "location", "value": "={{ $json.location }}", "type": "string" }, { "id": "poaching", "name": "poaching_difficulty", "value": "={{ $json.poaching_difficulty }}", "type": "string" }, { "id": "author_profile", "name": "author_profile", "value": "={{ $('Get Dataset Items').item.json.author?.linkedinUrl || '' }}", "type": "string" }, { "id": "author_info", "name": "author_info", "value": "={{ $('Get Dataset Items').item.json.author?.info || '' }}", "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" }, { "id": "likes", "name": "likes_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.likes || 0 }}", "type": "number" }, { "id": "comments", "name": "comments_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.comments || 0 }}", "type": "number" }, { "id": "shares", "name": "shares_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.shares || 0 }}", "type": "number" }, { "id": "total_engagement", "name": "engagement_total", "value": "={{ ($('Get Dataset Items').item.json.engagement?.likes || 0) + ($('Get Dataset Items').item.json.engagement?.comments || 0) + ($('Get Dataset Items').item.json.engagement?.shares || 0) }}", "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 752, -176 ], "id": "1c10b014-cb62-4c88-97fb-2d5ce84e7c3d", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1tebPFyKhMyif3pE330KGllYtPvpL8vXpEH_SStgYfzY", "mode": "list", "cachedResultName": "Case 79 - Passive Candidate Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tebPFyKhMyif3pE330KGllYtPvpL8vXpEH_SStgYfzY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tebPFyKhMyif3pE330KGllYtPvpL8vXpEH_SStgYfzY/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Analysis_Date": "={{ $json.analysis_timestamp }}", "Candidate_Name": "={{ $json.candidate_name }}", "Current_Company": "={{ $json.current_company }}", "Current_Role": "={{ $json.current_role }}", "Dissatisfaction_Reason": "={{ $json.dissatisfaction_reason }}", "Skill_Set": "={{ $json.skill_set.join('; ') }}", "Desired_Next_Role": "={{ $json.desired_next_role }}", "Location": "={{ $json.location }}", "Poaching_Difficulty": "={{ $json.poaching_difficulty }}", "Author_Profile": "={{ $json.author_profile }}", "Post_Date": "={{ $json.post_date }}", "Likes": "={{ $json.likes_count }}", "Comments": "={{ $json.comments_count }}", "Shares": "={{ $json.shares_count }}", "Total_Engagement": "={{ $json.engagement_total }}", "Post_URL": "={{ $json.post_url }}", "Post_Content": "={{ $json.post_content }}" }, "matchingColumns": [], "schema": [ { "id": "Analysis_Date", "displayName": "Analysis_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Candidate_Name", "displayName": "Candidate_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Current_Company", "displayName": "Current_Company", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Current_Role", "displayName": "Current_Role", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Dissatisfaction_Reason", "displayName": "Dissatisfaction_Reason", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Skill_Set", "displayName": "Skill_Set", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Desired_Next_Role", "displayName": "Desired_Next_Role", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Location", "displayName": "Location", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Poaching_Difficulty", "displayName": "Poaching_Difficulty", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Author_Profile", "displayName": "Author_Profile", "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": "Likes", "displayName": "Likes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Comments", "displayName": "Comments", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Shares", "displayName": "Shares", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Total_Engagement", "displayName": "Total_Engagement", "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": [ 944, -176 ], "id": "a03ac444-f454-48be-a12c-2942e414d22b", "name": "Log to Google Sheet", "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 current company\nconst companyCounts = {};\nallItems.forEach(item => {\n const company = item.json.Current_Company || 'Unknown';\n companyCounts[company] = (companyCounts[company] || 0) + 1;\n});\n\nconst topCompanies = Object.entries(companyCounts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 10);\n\n// Count by poaching difficulty\nconst difficultyCounts = {};\nallItems.forEach(item => {\n const difficulty = item.json.Poaching_Difficulty || 'Unknown';\n difficultyCounts[difficulty] = (difficultyCounts[difficulty] || 0) + 1;\n});\n\n// Top skills mentioned\nconst skillCounts = {};\nallItems.forEach(item => {\n const skillsString = item.json.Skill_Set || '';\n if (skillsString) {\n const skills = skillsString.split(';').map(s => s.trim()).filter(s => s);\n skills.forEach(skill => {\n skillCounts[skill] = (skillCounts[skill] || 0) + 1;\n });\n }\n});\n\nconst topSkills = Object.entries(skillCounts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 10);\n\n// Easy targets (low poaching difficulty)\nconst easyTargets = allItems.filter(item => \n item.json.Poaching_Difficulty === 'Easy'\n);\n\n// Count by current role category\nconst roleCounts = {};\nallItems.forEach(item => {\n const role = item.json.Current_Role || 'Unknown';\n roleCounts[role] = (roleCounts[role] || 0) + 1;\n});\n\nconst topRoles = Object.entries(roleCounts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 10);\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const difficultyColor = data.Poaching_Difficulty === 'Easy' ? '#28a745' : \n data.Poaching_Difficulty === 'Medium' ? '#ffc107' : '#dc3545';\n \n return `\n \n ${data.Candidate_Name || 'N/A'}\n ${data.Current_Company || 'N/A'}\n ${data.Current_Role || 'N/A'}\n ${data.Poaching_Difficulty || 'N/A'}\n ${data.Dissatisfaction_Reason || 'N/A'}\n View\n \n `;\n}).join('');\n\n// Return single aggregated item\nreturn {\n json: {\n week_start: new Date(Date.now() - 7*24*60*60*1000).toISOString().split('T')[0],\n week_end: new Date().toISOString().split('T')[0],\n total_candidates: allItems.length,\n top_companies: topCompanies,\n difficulty_breakdown: Object.entries(difficultyCounts),\n top_skills: topSkills,\n easy_targets_count: easyTargets.length,\n top_roles: topRoles,\n table_rows: tableRows,\n all_candidates: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1136, -176 ], "id": "b59362d2-7c38-438a-9c66-70d035131274", "name": "Aggregate Weekly Summary" }, { "parameters": { "sendTo": "talent-team@yourcompany.com", "subject": "=📊 Weekly Passive Candidate Report: {{ $json.week_start }} to {{ $json.week_end }}", "message": "=WEEKLY PASSIVE CANDIDATE INTELLIGENCE REPORT\n================================================\nReport Period: {{ $json.week_start }} to {{ $json.week_end }}\n\nOVERVIEW:\nTotal Passive Candidates Identified: {{ $json.total_candidates }}\nEasy Targets (Highly Motivated): {{ $json.easy_targets_count }}\n\nTOP SOURCE COMPANIES:\n{{ $json.top_companies.map(([company, count], i) => (i+1) + '. ' + company + ' (' + count + ' candidates)').join('\\n') }}\n\nPOACHING DIFFICULTY BREAKDOWN:\n{{ $json.difficulty_breakdown.map(([difficulty, count]) => difficulty + ': ' + count).join('\\n') }}\n\nTOP SKILLS IDENTIFIED:\n{{ $json.top_skills.slice(0, 10).map((skill, i) => (i+1) + '. ' + skill[0] + ' (' + skill[1] + ' mentions)').join('\\n') }}\n\nTOP ROLES:\n{{ $json.top_roles.slice(0, 10).map(([role, count], i) => (i+1) + '. ' + role + ' (' + count + ' candidates)').join('\\n') }}\n\n🎯 PRIORITY ACTION:\n{{ $json.easy_targets_count }} candidates showing strong signals - reach out this week!\n\nFull candidate details in Google Sheets.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1328, -176 ], "id": "f503dda1-4b0b-4937-b68a-c9f19df2d273", "name": "Send Weekly Summary Email", "webhookId": "c9924cde-fedb-4ddd-bc10-9d911ebd656e", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Passive Candidates", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Passive Candidates": { "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 Passive Candidates", "type": "main", "index": 0 } ] ] }, "Filter Only Passive Candidates": { "main": [ [ { "node": "AI Extract Candidate Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract Candidate Intelligence": { "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 Google Sheet", "type": "main", "index": 0 } ] ] }, "Log to Google Sheet": { "main": [ [ { "node": "Aggregate Weekly Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Weekly Summary": { "main": [ [ { "node": "Send Weekly Summary Email", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "42e45edd-c7d2-40da-af16-7f640c41335f", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "FqeFiAWOcudrziEy", "tags": [] }