{
  "workflow": {
    "id": 6625,
    "name": "Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram",
    "views": 535,
    "recentViews": 0,
    "totalViews": 535,
    "createdAt": "2025-07-29T10:58:27.832Z",
    "description": "# How it works\n\nThis workflow automatically scrapes commercial real estate listings from LoopNet and sends opportunity alerts to Telegram while logging data to Google Sheets.\n\n## Key Steps\n\n1. **Scheduled Trigger** - Runs every 24 hours to collect fresh CRE market data\n2. **AI-Powered Scraping** - Uses ScrapeGraphAI to extract property information from LoopNet\n3. **Market Analysis** - Analyzes listings for opportunities and generates market insights\n4. **Smart Notifications** - Sends Telegram alerts only when investment opportunities are found\n5. **Data Logging** - Stores daily market metrics in Google Sheets for trend analysis\n\n## Set up steps\n\n**Setup time: 10-15 minutes**\n\n1. **Configure ScrapeGraphAI credentials** - Add your ScrapeGraphAI API key for web scraping\n2. **Set up Telegram connection** - Connect your Telegram bot and specify the target channel\n3. **Configure Google Sheets** - Set up Google Sheets integration for data logging\n4. **Customize the LoopNet URL** - Update the URL to target specific CRE markets or property types\n5. **Adjust schedule** - Modify the trigger timing based on your market monitoring needs\n\n**Keep detailed configuration notes in sticky notes inside your workflow**\n",
    "workflow": {
      "id": "VhEwspDqzu7ssFVE",
      "meta": {
        "instanceId": "f4b0efaa33080e7774e0d9285c40c7abcd2c6f7cf1a8b901fa7106170dd4cda3",
        "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": "📋 Schedule Info",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1152,
            144
          ],
          "parameters": {
            "color": 2,
            "width": 400,
            "height": 852,
            "content": "# Daily CRE Scanner ⏰\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✅ Fresh data daily\n✅ Catches new listings immediately\n✅ Tracks market changes over time\n✅ Reliable automation\n\n**Configuration:**\n• Interval: 24 hours\n• Timezone: Server default\n• Error handling: Built-in retry\n• Next execution: Visible in logs\n\n**What Happens Next:**\n→ Triggers CRE data collection from major platforms\n→ Initiates complete market analysis\n→ 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": "📋 Data Collection",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -752,
            144
          ],
          "parameters": {
            "color": 3,
            "width": 400,
            "height": 852,
            "content": "# CRE Data Collector 🕷️\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✅ Property ID & type\n✅ Size (square footage)\n✅ Location details\n✅ Pricing information\n✅ Lease rates ($/sqft)\n✅ Contact information\n\n**API Configuration:**\n• Endpoint: ScrapeGraphAI smart scraper\n• Method: POST with JSON payload\n• Timeout: 60 seconds\n• Authentication: Header-based\n\n**Target Platform:**\n• LoopNet commercial listings\n• Real-time market data\n• Comprehensive property details\n\n**Output Format:**\n→ Structured JSON with listings array\n→ Ready for immediate analysis"
          },
          "typeVersion": 1
        },
        {
          "id": "22906cc4-e61a-440d-8a62-61c0633549bb",
          "name": "CRE Data Collector",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
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            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": "📋 Analysis Engine",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -352,
            144
          ],
          "parameters": {
            "color": 4,
            "width": 400,
            "height": 852,
            "content": "# CRE Analyzer & Dashboard 📊\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✅ Property type distribution\n✅ Location popularity ranking\n✅ Average lease rate calculation\n✅ Below-market opportunity detection\n✅ Alert generation system\n\n**Key Calculations:**\n• Total listings processed\n• Market rate averages\n• Geographic clustering\n• Opportunity scoring\n• Priority rankings\n\n**Alert Triggers:**\n• High opportunity count (>10 properties)\n• Rate alerts (>$30/sqft average)\n• Market anomalies\n\n**Dashboard Output:**\n→ Executive summary with KPIs\n→ Top 5 property types & locations\n→ Priority opportunities list\n→ 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": "📋 Decision Logic",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            48,
            144
          ],
          "parameters": {
            "color": 6,
            "width": 400,
            "height": 852,
            "content": "# Opportunity Check 🎯\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✅ Checks opportunities_found > 0\n✅ Routes to notification if true\n✅ Skips alerts if no opportunities\n✅ Always logs data regardless\n\n**Benefits:**\n• Reduces noise in communications\n• Focuses attention on actionable items\n• Saves API calls when not needed\n• Maintains clean notification history\n\n**Routing Logic:**\n→ TRUE: Send Telegram alert with details\n→ FALSE: Skip notification, continue logging\n→ BOTH: Always log to Google Sheets\n\n**Configuration:**\n• Condition: opportunities_found > 0\n• Type: Number comparison\n• Case sensitive: True\n• 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": "📋 Telegram Setup",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            448,
            -176
          ],
          "parameters": {
            "color": 5,
            "width": 400,
            "height": 852,
            "content": "# Send Opportunity Alert 📱\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✅ Market summary with key metrics\n✅ Total properties analyzed\n✅ Average lease rate\n✅ Top 3 opportunities with details\n✅ Alert summary\n\n**Setup Requirements:**\n• Telegram Bot Token (from @BotFather)\n• Chat ID (your Telegram user/group ID)\n• Bot must be added to chat\n• Proper permissions configured\n\n**Message Format:**\n🏢 **CRE Daily Report**\n📊 Market metrics\n🎯 Top opportunities\n⚠️ Active alerts\n\n**Benefits:**\n→ Immediate awareness of opportunities\n→ Mobile-friendly notifications\n→ Formatted for quick reading\n→ Historical message log"
          },
          "typeVersion": 1
        },
        {
          "id": "b4b5cccf-a7da-403f-a7fc-13226b929040",
          "name": "Send Opportunity Alert",
          "type": "n8n-nodes-base.telegram",
          "position": [
            608,
            544
          ],
          "webhookId": "10a9dc8f-552a-47e6-9f03-d11b18524867",
          "parameters": {
            "operation": "send"
          },
          "typeVersion": 1.2
        },
        {
          "id": "4ce23013-8b82-439a-8e33-89291516078c",
          "name": "📋 Data Logging",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            448,
            672
          ],
          "parameters": {
            "color": 7,
            "width": 400,
            "height": 916,
            "content": "# Log to Google Sheets 📈\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✅ Date (YYYY-MM-DD format)\n✅ Total properties analyzed\n✅ Average lease rate\n✅ Opportunities count\n✅ Top location\n✅ Alert count\n\n**Setup Requirements:**\n• Google Sheets document ID\n• Sheet name: 'CRE_Analysis'\n• Service account authentication\n• Proper column headers\n\n**Benefits:**\n• Track market trends over time\n• Identify seasonal patterns\n• Monitor alert frequency\n• Export data for analysis\n• Historical performance review\n\n**Data Structure:**\n→ One row per day\n→ Standardized column mapping\n→ Automatic date stamping\n→ 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,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "3d0f65de-749a-42e4-bbfc-b7073454c025",
      "connections": {
        "Daily CRE Scanner": {
          "main": [
            [
              {
                "node": "CRE Data Collector",
                "type": "main",
                "index": 0
              }
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        },
        "CRE Data Collector": {
          "main": [
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                "type": "main",
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        "Check for Opportunities": {
          "main": [
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                "node": "Send Opportunity Alert",
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        "CRE Analyzer & Dashboard": {
          "main": [
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                "node": "Check for Opportunities",
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              {
                "node": "Log to Google Sheets",
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              }
            ]
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        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
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        "n8n-nodes-base.scheduleTrigger": {
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    },
    "status": "published",
    "user": {
      "name": "vinci-king-01",
      "username": "vinci-king-01",
      "bio": "",
      "verified": true,
      "links": [
        "https://www.linkedin.com/in/marco-vinciguerra-7ba365242/"
      ],
      "avatar": "https://gravatar.com/avatar/d939eeef03a5fcb5df08bee8196f12ccb248c38209487414e419032004f0c014?r=pg&d=retro&size=200"
    },
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                },
                {
                  "url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
                  "icon": "🎡",
                  "label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
                },
                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
                  "icon": "🤟",
                  "label": "Creating scheduled text affirmations with n8n"
                },
                {
                  "url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/",
                  "icon": "💬",
                  "label": "Creating Telegram Bots with n8n, a No-Code Platform"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "Telegram"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiBmaWxsPSIjZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiIHN0cm9rZT0iIzAwMCIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIiB2aWV3Qm94PSIwIDAgNjYgNjYiPjx1c2UgeGxpbms6aHJlZj0iI2EiIHg9Ii41IiB5PSIuNSIvPjxzeW1ib2wgaWQ9ImEiIG92ZXJmbG93PSJ2aXNpYmxlIj48ZyBmaWxsLXJ1bGU9Im5vbnplcm8iIHN0cm9rZT0ibm9uZSI+PHBhdGggZmlsbD0iIzM3YWVlMiIgZD0iTTAgMzJjMCAxNy42NzMgMTQuMzI3IDMyIDMyIDMyczMyLTE0LjMyNyAzMi0zMlM0OS42NzMgMCAzMiAwIDAgMTQuMzI3IDAgMzIiLz48cGF0aCBmaWxsPSIjYzhkYWVhIiBkPSJtMjEuNjYxIDM0LjMzOCAzLjc5NyAxMC41MDhzLjQ3NS45ODMuOTgzLjk4MyA4LjA2OC03Ljg2NCA4LjA2OC03Ljg2NGw4LjQwNy0xNi4yMzctMjEuMTE5IDkuODk4eiIvPjxwYXRoIGZpbGw9IiNhOWM2ZDgiIGQ9Im0yNi42OTUgMzcuMDM0LS43MjkgNy43NDZzLS4zMDUgMi4zNzMgMi4wNjggMGw0LjY0NC00LjIwMyIvPjxwYXRoIGQ9Im0yMS43MyAzNC43MTItNy44MDktMi41NDVzLS45MzItLjM3OC0uNjMzLTEuMjM3Yy4wNjItLjE3Ny4xODYtLjMyOC41NTktLjU4OCAxLjczMS0xLjIwNiAzMi4wMjgtMTIuMDk2IDMyLjAyOC0xMi4wOTZzLjg1Ni0uMjg4IDEuMzYxLS4wOTdjLjIzMS4wODguMzc4LjE4Ny41MDMuNTQ4LjA0NS4xMzIuMDcxLjQxMS4wNjguNjg5LS4wMDMuMjAxLS4wMjcuMzg2LS4wNDUuNjc4LS4xODQgMi45NzgtNS43MDYgMjUuMTk4LTUuNzA2IDI1LjE5OHMtLjMzIDEuMy0xLjUxNCAxLjM0NWMtLjQzMi4wMTYtLjk1Ni0uMDcxLTEuNTgyLS42MS0yLjMyMy0xLjk5OC0xMC4zNTItNy4zOTQtMTIuMTI2LTguNThhLjM0LjM0IDAgMCAxLS4xNDYtLjIzOWMtLjAyNS0uMTI1LjEwOC0uMjguMTA4LS4yOHMxMy45OC0xMi40MjcgMTQuMzUyLTEzLjczMWMuMDI5LS4xMDEtLjA3OS0uMTUxLS4yMjYtLjEwNy0uOTI5LjM0Mi0xNy4wMjUgMTAuNTA2LTE4LjgwMSAxMS42MjktLjEwNC4wNjYtLjM5NS4wMjMtLjM5NS4wMjMiLz48L2c+PC9zeW1ib2w+PC9zdmc+"
        },
        "displayName": "Telegram",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 32,
        "name": "Market Research"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}