{ "name": "Case 78 - Sales Manager - Decision Maker Activity Monitor", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1040, -192 ], "id": "2d6556d7-4aac-4559-9caa-a1067da5b36b", "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/target-company-1\",\n \"https://www.linkedin.com/company/target-company-2\",\n \"https://www.linkedin.com/company/target-company-3\",\n \"https://www.linkedin.com/in/ceo-prospect-1\",\n \"https://www.linkedin.com/in/vp-sales-prospect-2\",\n \"https://www.linkedin.com/in/cto-prospect-3\",\n \"https://www.linkedin.com/in/cfo-prospect-4\",\n \"https://www.linkedin.com/company/enterprise-prospect-1\",\n \"https://www.linkedin.com/company/enterprise-prospect-2\"\n ],\n \"searchKeywords\": [\n \"challenge\",\n \"problem\",\n \"looking for\",\n \"need help\",\n \"frustrated\",\n \"solution\"\n ],\n \"maxPosts\": 50,\n \"postedLimit\": \"week\",\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -848, -192 ], "id": "4c6a6a79-ecf6-436b-a64d-64ae475811c6", "name": "Scrape LinkedIn Decision Maker Posts", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -656, -192 ], "id": "b26a7c67-9f2f-440b-89c7-acecdf7b8260", "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 Sales Opportunity Validation Expert.\n\nAnalyze LinkedIn posts to determine if they indicate genuine business pain points or buying signals.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_sales_opportunity\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine sales opportunity):\n✅ Expresses specific business problem or challenge\n✅ Mentions frustration with current solution/process\n✅ Actively seeking recommendations or solutions\n✅ Budget or investment discussions related to solving problem\n✅ Timeline urgency indicators (\"need ASAP\", \"by end of quarter\")\n✅ Comparison shopping or vendor evaluation\n✅ Decision-maker expressing pain point (VP, Director, C-level)\n✅ \"Looking for\" + specific solution category\n\nCriteria for \"no\" (NOT a sales opportunity):\n❌ Vague complaints without specific problem\n❌ Personal/non-business frustrations\n❌ Already purchased a solution (satisfied customer posts)\n❌ Rhetorical questions or thought leadership content\n❌ Seeking free advice for DIY solution\n❌ Junior employees without buying authority\n❌ General industry discussion without personal pain\n❌ Celebrations or success stories\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear buying signals)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require actual pain point + potential budget authority\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's a sales opportunity:\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": [ -496, -192 ], "id": "c22fa262-7d14-48cf-b92e-c204bcf52798", "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": [ -208, -192 ], "id": "41343c58-5c7e-4918-b545-158164c4fc89", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_sales_opportunity", "name": "is_sales_opportunity", "value": "={{ $json.is_sales_opportunity }}", "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": [ -32, -192 ], "id": "bdcd6ca6-89c4-47b1-b74b-22f40272cd59", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_sales_opportunity }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 144, -192 ], "id": "a49caf6a-9220-45e2-abad-5de8af333032", "name": "Filter Only Sales Opportunities" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Sales Intelligence Analyst.\n\nExtract structured sales opportunity information from LinkedIn posts.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"decision_maker_name\": \"Person's name who posted\",\n \"company_name\": \"Their company name\",\n \"job_title\": \"Their role/title if available\",\n \"pain_point_category\": \"Cost|Time|Efficiency|Integration|Scalability|Compliance|Quality|Other\",\n \"pain_point_description\": \"Brief description of their problem (max 150 chars)\",\n \"urgency_signals\": \"Immediate|This Quarter|This Year|No Timeline|Unclear\",\n \"budget_indicators\": \"Budget Mentioned|Cost Concerns|No Budget Info\",\n \"current_solution_mentioned\": \"Yes - [solution name]|No\",\n \"buying_stage\": \"Awareness|Consideration|Decision|Post-Purchase\",\n \"outreach_recommendation\": \"Comment on Post|Send DM|Send Email|Wait and Monitor\"\n}\n\nExtraction Rules:\n1. decision_maker_name: Extract from author info\n2. company_name: Extract from author profile\n3. job_title: Extract from author info if available\n4. pain_point_category: Categorize the main problem\n5. pain_point_description: Summarize their specific challenge\n6. urgency_signals: Look for timeline indicators in post\n7. budget_indicators: Check for cost/budget mentions\n8. current_solution_mentioned: What are they using now?\n9. buying_stage: Assess where they are (Awareness = just realized problem, Consideration = comparing options, Decision = ready to buy)\n10. outreach_recommendation: Based on post tone and urgency, recommend best approach\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract sales 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": [ 304, -192 ], "id": "9765fe69-2d29-4b6a-af03-b64bdc212538", "name": "AI Extract Sales 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": [ 576, -192 ], "id": "eb057a7d-b573-479c-b282-1f65dfebdd38", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "analysis_timestamp", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "decision_maker", "name": "decision_maker_name", "value": "={{ $json.decision_maker_name }}", "type": "string" }, { "id": "company", "name": "company_name", "value": "={{ $json.company_name }}", "type": "string" }, { "id": "job_title", "name": "job_title", "value": "={{ $json.job_title }}", "type": "string" }, { "id": "pain_category", "name": "pain_point_category", "value": "={{ $json.pain_point_category }}", "type": "string" }, { "id": "pain_description", "name": "pain_point_description", "value": "={{ $json.pain_point_description }}", "type": "string" }, { "id": "urgency", "name": "urgency_signals", "value": "={{ $json.urgency_signals }}", "type": "string" }, { "id": "budget", "name": "budget_indicators", "value": "={{ $json.budget_indicators }}", "type": "string" }, { "id": "current_solution", "name": "current_solution_mentioned", "value": "={{ $json.current_solution_mentioned }}", "type": "string" }, { "id": "buying_stage", "name": "buying_stage", "value": "={{ $json.buying_stage }}", "type": "string" }, { "id": "outreach", "name": "outreach_recommendation", "value": "={{ $json.outreach_recommendation }}", "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": [ 736, -192 ], "id": "dba07cca-fa4f-4c73-a4c0-5554489707c1", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "1niZ35MCIhisQa1Pa7cHleXRoNUxgv8n79a8Bj6eFDtw", "mode": "list", "cachedResultName": "Case 78 - Sales opportunity Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1niZ35MCIhisQa1Pa7cHleXRoNUxgv8n79a8Bj6eFDtw/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1niZ35MCIhisQa1Pa7cHleXRoNUxgv8n79a8Bj6eFDtw/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Analysis_Date": "={{ $json.analysis_timestamp }}", "Decision_Maker_Name": "={{ $json.decision_maker_name }}", "Company_Name": "={{ $json.company_name }}", "Job_Title": "={{ $json.job_title }}", "Pain_Point_Category": "={{ $json.pain_point_category }}", "Pain_Point_Description": "={{ $json.pain_point_description }}", "Urgency_Signals": "={{ $json.urgency_signals }}", "Budget_Indicators": "={{ $json.budget_indicators }}", "Current_Solution": "={{ $json.current_solution_mentioned }}", "Buying_Stage": "={{ $json.buying_stage }}", "Outreach_Recommendation": "={{ $json.outreach_recommendation }}", "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": "Decision_Maker_Name", "displayName": "Decision_Maker_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Company_Name", "displayName": "Company_Name", "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": "Pain_Point_Category", "displayName": "Pain_Point_Category", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Pain_Point_Description", "displayName": "Pain_Point_Description", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Urgency_Signals", "displayName": "Urgency_Signals", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Budget_Indicators", "displayName": "Budget_Indicators", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Current_Solution", "displayName": "Current_Solution", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Buying_Stage", "displayName": "Buying_Stage", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Outreach_Recommendation", "displayName": "Outreach_Recommendation", "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": [ 880, -192 ], "id": "c4d4bea7-c2c0-412d-976a-ea834e5b1580", "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 pain point category\nconst painPointCounts = {};\nallItems.forEach(item => {\n const category = item.json.Pain_Point_Category || 'Other';\n painPointCounts[category] = (painPointCounts[category] || 0) + 1;\n});\n\n// Count by buying stage\nconst buyingStageCounts = {};\nallItems.forEach(item => {\n const stage = item.json.Buying_Stage || 'Unclear';\n buyingStageCounts[stage] = (buyingStageCounts[stage] || 0) + 1;\n});\n\n// Count by urgency\nconst urgencyCounts = {};\nallItems.forEach(item => {\n const urgency = item.json.Urgency_Signals || 'No Timeline';\n urgencyCounts[urgency] = (urgencyCounts[urgency] || 0) + 1;\n});\n\n// Count opportunities with budget mentioned\nconst budgetMentioned = allItems.filter(item => \n item.json.Budget_Indicators === 'Budget Mentioned'\n).length;\n\n// Immediate follow-up opportunities\nconst immediateOpportunities = allItems.filter(item => \n item.json.Urgency_Signals === 'Immediate' || \n item.json.Buying_Stage === 'Decision'\n);\n\n// Group by outreach recommendation\nconst outreachCounts = {};\nallItems.forEach(item => {\n const outreach = item.json.Outreach_Recommendation || 'Wait and Monitor';\n outreachCounts[outreach] = (outreachCounts[outreach] || 0) + 1;\n});\n\n// Top companies (most opportunities)\nconst companyCounts = {};\nallItems.forEach(item => {\n const company = item.json.Company_Name || '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// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const urgencyColor = data.Urgency_Signals === 'Immediate' ? '#dc3545' : \n data.Urgency_Signals === 'This Quarter' ? '#ffc107' : '#6c757d';\n \n return `\n \n ${data.Decision_Maker_Name || 'N/A'}\n ${data.Company_Name || 'N/A'}\n ${data.Pain_Point_Category || 'N/A'}\n ${data.Buying_Stage || 'N/A'}\n ${data.Urgency_Signals || 'N/A'}\n ${data.Outreach_Recommendation || '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_opportunities: allItems.length,\n pain_point_breakdown: Object.entries(painPointCounts),\n buying_stage_breakdown: Object.entries(buyingStageCounts),\n urgency_breakdown: Object.entries(urgencyCounts),\n budget_mentioned_count: budgetMentioned,\n immediate_opportunities_count: immediateOpportunities.length,\n outreach_breakdown: Object.entries(outreachCounts),\n top_companies: topCompanies,\n table_rows: tableRows,\n all_opportunities: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1056, -192 ], "id": "397e6270-cebc-4c9f-b86b-54b65eb62f11", "name": "Aggregate Weekly Summary" }, { "parameters": { "sendTo": "sales-team@yourcompany.com", "subject": "=📊 Weekly Sales Opportunity Report: {{ $json.week_start }} to {{ $json.week_end }}", "message": "=WEEKLY SALES OPPORTUNITY INTELLIGENCE REPORT\n================================================\nReport Period: {{ $json.week_start }} to {{ $json.week_end }}\n\nOVERVIEW:\nTotal Opportunities Identified: {{ $json.total_opportunities }}\nImmediate Follow-up Required: {{ $json.immediate_opportunities_count }}\nBudget Mentioned: {{ $json.budget_mentioned_count }}\n\nPAIN POINT BREAKDOWN:\n{{ $json.pain_point_breakdown.map(([category, count]) => category + ': ' + count).join('\\n') }}\n\nBUYING STAGE DISTRIBUTION:\n{{ $json.buying_stage_breakdown.map(([stage, count]) => stage + ': ' + count).join('\\n') }}\n\nURGENCY ANALYSIS:\n{{ $json.urgency_breakdown.map(([urgency, count]) => urgency + ': ' + count).join('\\n') }}\n\nOUTREACH RECOMMENDATIONS:\n{{ $json.outreach_breakdown.map(([action, count]) => action + ': ' + count).join('\\n') }}\n\nTOP COMPANIES (Most Opportunities):\n{{ $json.top_companies.map(([company, count], i) => (i+1) + '. ' + company + ' (' + count + ' opportunities)').join('\\n') }}\n\n🔥 PRIORITY ACTION:\n{{ $json.immediate_opportunities_count }} opportunities require immediate follow-up!\n\nFull opportunity details in Google Sheets.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1232, -192 ], "id": "8b8b672b-868f-4982-b523-8204013b95f8", "name": "Send Weekly Summary Email", "webhookId": "f8d5086d-ac55-427b-b01d-c4becee50952", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Decision Maker Posts", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Decision Maker Posts": { "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 Sales Opportunities", "type": "main", "index": 0 } ] ] }, "Filter Only Sales Opportunities": { "main": [ [ { "node": "AI Extract Sales Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract Sales 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": "eb97aa14-cf2e-4a53-b2a2-27df7b4863f9", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "FQzemmwCdbPSJN6r", "tags": [] }