{ "id": "VhEwspDqzu7ssFVE", "meta": { "templateCredsSetupCompleted": true }, "name": "My workflow 2", "tags": [ { "id": "DxXGubfBzRKh6L8T", "name": "Revenue Optimization", "createdAt": "2025-07-25T16:24:30.370Z", "updatedAt": "2025-07-25T16:24:30.370Z" }, { "id": "IxkcJ2IpYIxivoHV", "name": "Content Strategy", "createdAt": "2025-07-25T12:57:37.677Z", "updatedAt": "2025-07-25T12:57:37.677Z" }, { "id": "PAKIJ2Mm9EvRcR3u", "name": "Trend Monitoring", "createdAt": "2025-07-25T12:57:37.670Z", "updatedAt": "2025-07-25T12:57:37.670Z" }, { "id": "YtfXmaZk44MYedPO", "name": "Dynamic Pricing", "createdAt": "2025-07-25T16:24:30.369Z", "updatedAt": "2025-07-25T16:24:30.369Z" }, { "id": "wJ30mjhtrposO8Qt", "name": "Simple RAG", "createdAt": "2025-07-28T12:55:14.424Z", "updatedAt": "2025-07-28T12:55:14.424Z" } ], "nodes": [ { "id": "b3039a5a-fac6-42bc-8165-df16a3a3e610", "name": "\ud83d\udccb Schedule Info", "type": "n8n-nodes-base.stickyNote", "position": [ -1152, 144 ], "parameters": { "color": 2, "width": 400, "height": 852, "content": "# Daily CRE Scanner \u23f0\n\n**Automated Market Monitoring:**\n- Runs every 24 hours automatically\n- Triggers the entire CRE intelligence pipeline\n- No manual intervention required\n- Consistent market data collection\n\n**Schedule Benefits:**\n\u2705 Fresh data daily\n\u2705 Catches new listings immediately\n\u2705 Tracks market changes over time\n\u2705 Reliable automation\n\n**Configuration:**\n\u2022 Interval: 24 hours\n\u2022 Timezone: Server default\n\u2022 Error handling: Built-in retry\n\u2022 Next execution: Visible in logs\n\n**What Happens Next:**\n\u2192 Triggers CRE data collection from major platforms\n\u2192 Initiates complete market analysis\n\u2192 Generates daily intelligence report" }, "typeVersion": 1 }, { "id": "072af1a6-fc7e-435e-bd7e-b68e5eeb6d84", "name": "Daily CRE Scanner", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1008, 832 ], "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 24 } ] } }, "typeVersion": 1.2 }, { "id": "5239bd82-fc3a-42df-bea8-40e1f0d2c01b", "name": "\ud83d\udccb Data Collection", "type": "n8n-nodes-base.stickyNote", "position": [ -752, 144 ], "parameters": { "color": 3, "width": 400, "height": 852, "content": "# CRE Data Collector \ud83d\udd77\ufe0f\n\n**AI-Powered Web Scraping:**\n- Uses ScrapeGraphAI for intelligent extraction\n- Targets major CRE platforms (LoopNet)\n- Structured data output with schema\n- Handles dynamic content automatically\n\n**Data Points Collected:**\n\u2705 Property ID & type\n\u2705 Size (square footage)\n\u2705 Location details\n\u2705 Pricing information\n\u2705 Lease rates ($/sqft)\n\u2705 Contact information\n\n**API Configuration:**\n\u2022 Endpoint: ScrapeGraphAI smart scraper\n\u2022 Method: POST with JSON payload\n\u2022 Timeout: 60 seconds\n\u2022 Authentication: Header-based\n\n**Target Platform:**\n\u2022 LoopNet commercial listings\n\u2022 Real-time market data\n\u2022 Comprehensive property details\n\n**Output Format:**\n\u2192 Structured JSON with listings array\n\u2192 Ready for immediate analysis" }, "typeVersion": 1 }, { "id": "22906cc4-e61a-440d-8a62-61c0633549bb", "name": "CRE Data Collector", "type": "n8n-nodes-base.httpRequest", "position": [ -608, 816 ], "parameters": { "url": "https://api.scrapegraphai.com/v1/smartscraper", "options": {}, "sendBody": true, "sendHeaders": true, "authentication": "headerAuth", "bodyParameters": { "parameters": [ { "name": "website_url", "value": "https://www.loopnet.com/search/commercial-real-estate/" }, { "name": "user_prompt", "value": "Extract commercial real estate listings: property type, size, location, price, lease rate, contact info" }, { "name": "output_schema", "value": "{\"listings\": [{\"id\": \"string\", \"type\": \"string\", \"size_sqft\": \"number\", \"location\": \"string\", \"price\": \"number\", \"lease_rate\": \"number\", \"contact\": \"string\"}]}" } ] }, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.2 }, { "id": "131f2431-f6f1-44b7-87ef-d0cdf7690f3e", "name": "\ud83d\udccb Analysis Engine", "type": "n8n-nodes-base.stickyNote", "position": [ -352, 144 ], "parameters": { "color": 4, "width": 400, "height": 852, "content": "# CRE Analyzer & Dashboard \ud83d\udcca\n\n**Comprehensive Market Intelligence:**\n- Processes scraped listings data\n- Generates market summary & insights\n- Identifies investment opportunities\n- Creates actionable dashboard\n\n**Analysis Features:**\n\u2705 Property type distribution\n\u2705 Location popularity ranking\n\u2705 Average lease rate calculation\n\u2705 Below-market opportunity detection\n\u2705 Alert generation system\n\n**Key Calculations:**\n\u2022 Total listings processed\n\u2022 Market rate averages\n\u2022 Geographic clustering\n\u2022 Opportunity scoring\n\u2022 Priority rankings\n\n**Alert Triggers:**\n\u2022 High opportunity count (>10 properties)\n\u2022 Rate alerts (>$30/sqft average)\n\u2022 Market anomalies\n\n**Dashboard Output:**\n\u2192 Executive summary with KPIs\n\u2192 Top 5 property types & locations\n\u2192 Priority opportunities list\n\u2192 Actionable next steps" }, "typeVersion": 1 }, { "id": "702d76c3-3229-446b-adaf-2c0d8e751121", "name": "CRE Analyzer & Dashboard", "type": "n8n-nodes-base.code", "position": [ -192, 864 ], "parameters": { "jsCode": "// Simplified CRE Analysis & Dashboard\nconst scrapedData = $input.all()[0].json;\nconst listings = scrapedData.listings || [];\n\n// Core analysis\nconst analysis = {\n total_listings: listings.length,\n avg_lease_rate: 0,\n property_types: {},\n top_locations: {},\n opportunities: [],\n alerts: []\n};\n\n// Process listings\nlet totalRate = 0;\nlet rateCount = 0;\n\nlistings.forEach(listing => {\n // Track property types\n const type = listing.type || 'Unknown';\n analysis.property_types[type] = (analysis.property_types[type] || 0) + 1;\n \n // Track locations\n const location = listing.location || 'Unknown';\n analysis.top_locations[location] = (analysis.top_locations[location] || 0) + 1;\n \n // Calculate average rates\n if (listing.lease_rate) {\n totalRate += listing.lease_rate;\n rateCount++;\n }\n \n // Identify opportunities (below market rate)\n if (listing.lease_rate && listing.lease_rate < 20) {\n analysis.opportunities.push({\n id: listing.id,\n type: listing.type,\n location: listing.location,\n rate: listing.lease_rate,\n size: listing.size_sqft,\n opportunity: 'Below Market Rate'\n });\n }\n});\n\nanalysis.avg_lease_rate = rateCount > 0 ? (totalRate / rateCount).toFixed(2) : 0;\n\n// Generate alerts\nif (analysis.opportunities.length > 10) {\n analysis.alerts.push({\n type: 'High Opportunity Count',\n message: `${analysis.opportunities.length} below-market properties found`,\n priority: 'High'\n });\n}\n\nif (analysis.avg_lease_rate > 30) {\n analysis.alerts.push({\n type: 'Rate Alert',\n message: `Average lease rate (${analysis.avg_lease_rate}) above $30/sqft`,\n priority: 'Medium'\n });\n}\n\n// Create dashboard summary\nconst dashboard = {\n generated_at: new Date().toISOString(),\n market_summary: {\n total_properties: analysis.total_listings,\n avg_lease_rate: `${analysis.avg_lease_rate}/sqft`,\n opportunities_found: analysis.opportunities.length,\n active_alerts: analysis.alerts.length\n },\n top_property_types: Object.entries(analysis.property_types)\n .sort(([,a], [,b]) => b - a)\n .slice(0, 5)\n .map(([type, count]) => ({ type, count })),\n top_locations: Object.entries(analysis.top_locations)\n .sort(([,a], [,b]) => b - a)\n .slice(0, 5)\n .map(([location, count]) => ({ location, count })),\n priority_opportunities: analysis.opportunities\n .sort((a, b) => a.rate - b.rate)\n .slice(0, 10),\n alerts: analysis.alerts,\n next_actions: [\n analysis.opportunities.length > 0 ? `Review ${analysis.opportunities.length} opportunities` : 'No immediate opportunities',\n analysis.alerts.length > 0 ? `Address ${analysis.alerts.length} alerts` : 'No alerts requiring action',\n 'Update market analysis tomorrow'\n ]\n};\n\nconsole.log(`CRE Analysis Complete: ${dashboard.market_summary.total_properties} properties, ${dashboard.market_summary.opportunities_found} opportunities`);\n\nreturn [{ json: dashboard }];" }, "typeVersion": 2 }, { "id": "422fb0a3-a654-4239-bcf4-3da927626df6", "name": "\ud83d\udccb Decision Logic", "type": "n8n-nodes-base.stickyNote", "position": [ 48, 144 ], "parameters": { "color": 6, "width": 400, "height": 852, "content": "# Opportunity Check \ud83c\udfaf\n\n**Smart Conditional Logic:**\n- Evaluates if opportunities were found\n- Only sends alerts when action needed\n- Prevents notification spam\n- Optimizes workflow efficiency\n\n**Decision Logic:**\n\u2705 Checks opportunities_found > 0\n\u2705 Routes to notification if true\n\u2705 Skips alerts if no opportunities\n\u2705 Always logs data regardless\n\n**Benefits:**\n\u2022 Reduces noise in communications\n\u2022 Focuses attention on actionable items\n\u2022 Saves API calls when not needed\n\u2022 Maintains clean notification history\n\n**Routing Logic:**\n\u2192 TRUE: Send Telegram alert with details\n\u2192 FALSE: Skip notification, continue logging\n\u2192 BOTH: Always log to Google Sheets\n\n**Configuration:**\n\u2022 Condition: opportunities_found > 0\n\u2022 Type: Number comparison\n\u2022 Case sensitive: True\n\u2022 Strict validation: Enabled" }, "typeVersion": 1 }, { "id": "9fcce7ef-60c1-422e-9e0c-de5f684d3bdb", "name": "Check for Opportunities", "type": "n8n-nodes-base.if", "position": [ 192, 848 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "has-opportunities", "operator": { "type": "number", "operation": "gt" }, "leftValue": "={{ $json.market_summary.opportunities_found }}", "rightValue": 0 } ] } }, "typeVersion": 2 }, { "id": "864ba85a-3b21-4bde-a6b2-686368436e6d", "name": "\ud83d\udccb Telegram Setup", "type": "n8n-nodes-base.stickyNote", "position": [ 448, -176 ], "parameters": { "color": 5, "width": 400, "height": 852, "content": "# Send Opportunity Alert \ud83d\udcf1\n\n**Instant Telegram Notifications:**\n- Sends formatted CRE daily report\n- Includes market summary & top opportunities\n- Only triggers when opportunities exist\n- Professional message formatting\n\n**Message Content:**\n\u2705 Market summary with key metrics\n\u2705 Total properties analyzed\n\u2705 Average lease rate\n\u2705 Top 3 opportunities with details\n\u2705 Alert summary\n\n**Setup Requirements:**\n\u2022 Telegram Bot Token (from @BotFather)\n\u2022 Chat ID (your Telegram user/group ID)\n\u2022 Bot must be added to chat\n\u2022 Proper permissions configured\n\n**Message Format:**\n\ud83c\udfe2 **CRE Daily Report**\n\ud83d\udcca Market metrics\n\ud83c\udfaf Top opportunities\n\u26a0\ufe0f Active alerts\n\n**Benefits:**\n\u2192 Immediate awareness of opportunities\n\u2192 Mobile-friendly notifications\n\u2192 Formatted for quick reading\n\u2192 Historical message log" }, "typeVersion": 1 }, { "id": "b4b5cccf-a7da-403f-a7fc-13226b929040", "name": "Send Opportunity Alert", "type": "n8n-nodes-base.telegram", "position": [ 608, 544 ], "parameters": { "operation": "send" }, "typeVersion": 1.2 }, { "id": "4ce23013-8b82-439a-8e33-89291516078c", "name": "\ud83d\udccb Data Logging", "type": "n8n-nodes-base.stickyNote", "position": [ 448, 672 ], "parameters": { "color": 7, "width": 400, "height": 916, "content": "# Log to Google Sheets \ud83d\udcc8\n\n**Historical Data Tracking:**\n- Automatically logs daily CRE metrics\n- Builds historical trend database\n- Enables long-term market analysis\n- Creates data foundation for reporting\n\n**Logged Metrics:**\n\u2705 Date (YYYY-MM-DD format)\n\u2705 Total properties analyzed\n\u2705 Average lease rate\n\u2705 Opportunities count\n\u2705 Top location\n\u2705 Alert count\n\n**Setup Requirements:**\n\u2022 Google Sheets document ID\n\u2022 Sheet name: 'CRE_Analysis'\n\u2022 Service account authentication\n\u2022 Proper column headers\n\n**Benefits:**\n\u2022 Track market trends over time\n\u2022 Identify seasonal patterns\n\u2022 Monitor alert frequency\n\u2022 Export data for analysis\n\u2022 Historical performance review\n\n**Data Structure:**\n\u2192 One row per day\n\u2192 Standardized column mapping\n\u2192 Automatic date stamping\n\u2192 Consistent data format" }, "typeVersion": 1 }, { "id": "501df296-9ece-4f93-ac15-d6b753c10813", "name": "Log to Google Sheets", "type": "n8n-nodes-base.googleSheets", "position": [ 576, 1456 ], "parameters": { "resource": "spreadsheet", "operation": "appendOrUpdate" }, "typeVersion": 4.4 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "3d0f65de-749a-42e4-bbfc-b7073454c025", "connections": { "Daily CRE Scanner": { "main": [ [ { "node": "CRE Data Collector", "type": "main", "index": 0 } ] ] }, "CRE Data Collector": { "main": [ [ { "node": "CRE Analyzer & Dashboard", "type": "main", "index": 0 } ] ] }, "Check for Opportunities": { "main": [ [ { "node": "Send Opportunity Alert", "type": "main", "index": 0 } ] ] }, "CRE Analyzer & Dashboard": { "main": [ [ { "node": "Check for Opportunities", "type": "main", "index": 0 }, { "node": "Log to Google Sheets", "type": "main", "index": 0 } ] ] } } }