{
  "name": "Case 64 - Trade Show & Event Intelligence Gatherer",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "cronExpression",
              "expression": "0 9 * * 1"
            }
          ]
        }
      },
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        -1248,
        -112
      ],
      "id": "c3d2eeed-ebb6-4ff1-a8c1-33b20afb51fe",
      "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/showcase/ceslasvegas\",\n    \"https://www.linkedin.com/company/web-summit\",\n    \"https://www.linkedin.com/company/himss\",\n    \"https://www.linkedin.com/showcase/himss-global-health-conference\",\n    \"https://www.linkedin.com/showcase/salesforceevents\",\n    \"https://www.linkedin.com/company/salesforce\",\n    \"https://www.linkedin.com/company/money2020\",\n    \"https://www.linkedin.com/company/hannovermesse\",\n    \"https://www.linkedin.com/company/imts\",\n    \"https://www.linkedin.com/company/summit-events\"\n  ],\n  \"maxPosts\": 10,\n  \"postedLimit\": \"month\",\n  \"scrapeComments\": false,\n  \"scrapeReactions\": false,\n  \"profileScraperMode\": \"short\",\n  \"startPage\": 1\n}",
        "timeout": {}
      },
      "type": "@apify/n8n-nodes-apify.apify",
      "typeVersion": 1,
      "position": [
        -1088,
        -112
      ],
      "id": "68894aaa-7c20-425a-b871-c8aa3b83f99e",
      "name": "Scrape LinkedIn Event Posts",
      "credentials": {
        "apifyApi": {
          "id": "w5S6YBbbyUddEfQA",
          "name": "Apify account"
        }
      }
    },
    {
      "parameters": {
        "resource": "Datasets",
        "datasetId": "={{ $json.defaultDatasetId }}",
        "offset": {}
      },
      "type": "@apify/n8n-nodes-apify.apify",
      "typeVersion": 1,
      "position": [
        -912,
        -112
      ],
      "id": "172fcda0-e4cc-48ff-8f02-c5adbb28aaa5",
      "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 an Event Relevance Validation Expert.\n\nAnalyze LinkedIn posts to determine if they are genuinely about participating in, organizing, or attending a trade show, conference, summit, or industry event.\n\nReturn ONLY valid JSON in this exact format:\n{\n  \"is_event_related\": \"yes|no\",\n  \"confidence\": 0.95,\n  \"reason\": \"brief explanation of why this is or isn't event-related\"\n}\n\nCriteria for \"yes\" (event-related):\n✅ Announcing attendance at a specific named event\n✅ Exhibiting at a booth/stand with booth number or location\n✅ Speaking at a conference/panel\n✅ Sponsoring a specific event\n✅ Event recap or summary post\n✅ Registering/inviting others to attend an event\n✅ Showcasing products/demos at an event\n✅ Networking at a specific industry event\n\nCriteria for \"no\" (NOT event-related):\n❌ Generic use of words like 'event' or 'conference' without specific participation\n❌ Theoretical/future planning without concrete event commitment\n❌ Internal company events (team meetings, workshops)\n❌ Webinars or virtual-only sessions (unless part of larger conference)\n❌ Event keywords used metaphorically or in unrelated context\n❌ Posts about planning events in general (without specific event name)\n❌ Job postings mentioning event skills\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear cases)\n2. reason: 1 sentence explaining the decision\n3. Be strict - when in doubt, mark as \"no\"\n4. Return ONLY the JSON object, no explanations"
            },
            {
              "content": "=Analyze this LinkedIn post to determine if it's genuinely about trade show/conference participation:\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": [
        -736,
        -112
      ],
      "id": "7089e041-bd48-4803-8a2e-5cbe34b72520",
      "name": "AI Validation Filter",
      "credentials": {
        "openAiApi": {
          "id": "ICwxUBbatsF2sDvy",
          "name": "OpenAi account"
        }
      }
    },
    {
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 1
          },
          "conditions": [
            {
              "id": "condition-001",
              "leftValue": "={{ $json.is_event_related }}",
              "rightValue": "yes",
              "operator": {
                "type": "string",
                "operation": "equals"
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      },
      "type": "n8n-nodes-base.filter",
      "typeVersion": 2,
      "position": [
        -256,
        -112
      ],
      "id": "efa15143-b92a-4738-ac32-b7edcf9e4d2a",
      "name": "Filter Only Event-Related Posts"
    },
    {
      "parameters": {
        "modelId": {
          "__rl": true,
          "value": "gpt-4o-mini",
          "mode": "list",
          "cachedResultName": "GPT-4o-mini"
        },
        "responses": {
          "values": [
            {
              "role": "system",
              "content": "=You are a Trade Show & Event Intelligence Extraction Expert.\n\nExtract structured event information from LinkedIn posts about trade shows, conferences, and industry events.\n\nReturn ONLY valid JSON in this exact format:\n{\n  \"event_name\": \"exact name of the event or null if not mentioned\",\n  \"event_location\": \"city, country format or null\",\n  \"event_dates\": \"YYYY-MM-DD to YYYY-MM-DD format or 'TBA' or null\",\n  \"industry_sector\": \"Tech/AI|Marketing/SaaS|Manufacturing|Healthcare|Fintech|Other\",\n  \"attendee_type\": \"exhibitor|sponsor|speaker|attendee|organizer|unclear\",\n  \"key_announcements\": [\"announcement 1\", \"announcement 2\", \"announcement 3\"],\n  \"booth_mentions\": \"booth number or company booth info or null\",\n  \"sentiment\": \"positive|negative|neutral\",\n  \"networking_focus\": \"yes|no - whether post emphasizes networking opportunities\",\n  \"product_showcase\": \"yes|no - whether products/demos were showcased\"\n}\n\nRules:\n1. event_name: Extract exact event name (e.g., 'CES 2025', 'Web Summit', 'HIMSS Global Conference')\n2. event_location: City and country (e.g., 'Las Vegas, USA', 'Lisbon, Portugal')\n3. event_dates: Look for specific dates in post; use date range format\n4. industry_sector: Categorize into one of the 5 sectors or 'Other'\n5. attendee_type: Identify poster's role at the event\n6. key_announcements: Extract max 3 announcements (product launches, partnerships, awards, insights)\n7. booth_mentions: Booth number or location if mentioned\n8. sentiment: Overall tone about the event experience\n9. networking_focus: Whether networking is emphasized\n10. product_showcase: Whether products/demos are mentioned\n11. Use null for missing information\n12. Return ONLY the JSON object, no explanations"
            },
            {
              "content": "=Analyze this LinkedIn post for trade show/event intelligence:\n\nAuthor: {{ $('Get Dataset Items').item.json.author.name }}\nCompany 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 }}\n\nReturn only JSON."
            }
          ]
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "typeVersion": 2.1,
      "position": [
        -96,
        -112
      ],
      "id": "77945865-bdc3-4ba1-ba83-c9e637183605",
      "name": "AI Extract Event Intelligence",
      "credentials": {
        "openAiApi": {
          "id": "ICwxUBbatsF2sDvy",
          "name": "OpenAi account"
        }
      }
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "1g16efeh2lIju0K_m9TIoZEKbMvHr1FDaM1kylSeLtVI",
          "mode": "list",
          "cachedResultName": "Case 64 - Event Intelligence Log",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1g16efeh2lIju0K_m9TIoZEKbMvHr1FDaM1kylSeLtVI/edit?usp=drivesdk"
        },
        "sheetName": {
          "__rl": true,
          "value": "gid=0",
          "mode": "list",
          "cachedResultName": "Sheet1",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1g16efeh2lIju0K_m9TIoZEKbMvHr1FDaM1kylSeLtVI/edit#gid=0"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Analysis_Date": "={{ $json.analysis_timestamp }}",
            "Company_Name": "={{ $json.company_name }}",
            "Event_Name": "={{ $json.event_name }}",
            "Event_Location": "={{ $json.event_location }}",
            "Event_Dates": "={{ $json.event_dates }}",
            "Industry_Sector": "={{ $json.industry_sector }}",
            "Attendee_Type": "={{ $json.attendee_type }}",
            "Key_Announcements": "={{ $json.key_announcements.join('; ') }}",
            "Booth_Mentions": "={{ $json.booth_mentions }}",
            "Sentiment": "={{ $json.sentiment }}",
            "Networking_Focus": "={{ $json.networking_focus }}",
            "Product_Showcase": "={{ $json.product_showcase }}",
            "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": "Company_Name",
              "displayName": "Company_Name",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Event_Name",
              "displayName": "Event_Name",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Event_Location",
              "displayName": "Event_Location",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Event_Dates",
              "displayName": "Event_Dates",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Industry_Sector",
              "displayName": "Industry_Sector",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Attendee_Type",
              "displayName": "Attendee_Type",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Key_Announcements",
              "displayName": "Key_Announcements",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Booth_Mentions",
              "displayName": "Booth_Mentions",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Sentiment",
              "displayName": "Sentiment",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Networking_Focus",
              "displayName": "Networking_Focus",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "Product_Showcase",
              "displayName": "Product_Showcase",
              "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": "number",
              "canBeUsedToMatch": true
            },
            {
              "id": "Comments",
              "displayName": "Comments",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "number",
              "canBeUsedToMatch": true
            },
            {
              "id": "Shares",
              "displayName": "Shares",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "number",
              "canBeUsedToMatch": true
            },
            {
              "id": "Total_Engagement",
              "displayName": "Total_Engagement",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "number",
              "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
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.7,
      "position": [
        560,
        -112
      ],
      "id": "0f75d5c2-2f33-4d82-bf4a-48fec38e618a",
      "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// Events by industry sector\nconst sectorCounts = {};\nallItems.forEach(item => {\n  const sector = item.json.Industry_Sector || 'Other';\n  sectorCounts[sector] = (sectorCounts[sector] || 0) + 1;\n});\n\nconst sectorBreakdown = Object.entries(sectorCounts)\n  .sort((a, b) => b[1] - a[1])\n  .map(([sector, count]) => ({ sector, count, percentage: Math.round((count / allItems.length) * 100) }));\n\n// Top mentioned events\nconst eventCounts = {};\nallItems.forEach(item => {\n  const eventName = item.json.Event_Name;\n  if (eventName && eventName !== 'null' && eventName) {\n    eventCounts[eventName] = (eventCounts[eventName] || 0) + 1;\n  }\n});\n\nconst topEvents = Object.entries(eventCounts)\n  .sort((a, b) => b[1] - a[1])\n  .slice(0, 10)\n  .map(([event, mentions]) => ({ event, mentions }));\n\n// Key announcements tracker - Key_Announcements is now a string\nconst allAnnouncements = [];\nallItems.forEach(item => {\n  const announcementsString = item.json.Key_Announcements || '';\n  if (announcementsString) {\n    const announcements = announcementsString.split(';').map(a => a.trim()).filter(a => a);\n    announcements.forEach(announcement => {\n      allAnnouncements.push({\n        announcement,\n        company: item.json.Company_Name,\n        event: item.json.Event_Name\n      });\n    });\n  }\n});\n\nconst keyAnnouncements = allAnnouncements.slice(0, 10);\n\n// Company participation overview\nconst companyParticipation = {};\nallItems.forEach(item => {\n  const company = item.json.Company_Name;\n  if (!companyParticipation[company]) {\n    companyParticipation[company] = { events: 0, types: new Set() };\n  }\n  companyParticipation[company].events++;\n  companyParticipation[company].types.add(item.json.Attendee_Type);\n});\n\nconst topCompanies = Object.entries(companyParticipation)\n  .map(([company, data]) => ({\n    company,\n    events_attended: data.events,\n    participation_types: Array.from(data.types).join(', ')\n  }))\n  .sort((a, b) => b.events_attended - a.events_attended)\n  .slice(0, 10);\n\n// Sentiment analysis by event\nconst sentimentCounts = { positive: 0, negative: 0, neutral: 0 };\nallItems.forEach(item => {\n  const sentiment = (item.json.Sentiment || 'neutral').toLowerCase();\n  if (sentimentCounts.hasOwnProperty(sentiment)) {\n    sentimentCounts[sentiment]++;\n  }\n});\n\nconst sentimentPercentages = {\n  positive: Math.round((sentimentCounts.positive / allItems.length) * 100),\n  negative: Math.round((sentimentCounts.negative / allItems.length) * 100),\n  neutral: Math.round((sentimentCounts.neutral / allItems.length) * 100)\n};\n\n// Product showcase vs networking focus stats\nconst productShowcaseCount = allItems.filter(item => item.json.Product_Showcase === 'yes').length;\nconst networkingFocusCount = allItems.filter(item => item.json.Networking_Focus === 'yes').length;\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n  const data = item.json;\n  const sentiment = data.Sentiment || 'neutral';\n  const sentimentColor = sentiment.toLowerCase() === 'positive' ? '#28a745' : \n                         sentiment.toLowerCase() === 'negative' ? '#dc3545' : '#6c757d';\n  \n  return `\n    <tr>\n      <td>${data.Company_Name || 'N/A'}</td>\n      <td>${data.Event_Name || 'N/A'}</td>\n      <td>${data.Industry_Sector || 'N/A'}</td>\n      <td>${data.Attendee_Type || 'N/A'}</td>\n      <td><span style=\"color: ${sentimentColor}; font-weight: bold;\">${sentiment}</span></td>\n      <td>${(parseInt(data.Total_Engagement) || 0).toLocaleString()}</td>\n      <td><a href=\"${data.Post_URL || '#'}\">View</a></td>\n    </tr>\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_posts_analyzed: allItems.length,\n    sector_breakdown: sectorBreakdown,\n    top_events: topEvents,\n    key_announcements: keyAnnouncements,\n    top_companies: topCompanies,\n    sentiment_positive_pct: sentimentPercentages.positive,\n    sentiment_negative_pct: sentimentPercentages.negative,\n    sentiment_neutral_pct: sentimentPercentages.neutral,\n    product_showcase_count: productShowcaseCount,\n    networking_focus_count: networkingFocusCount,\n    table_rows: tableRows,\n    all_posts: allItems.map(item => item.json)\n  }\n};"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        752,
        -112
      ],
      "id": "8714d41b-883a-4550-984c-56b33f71aaaa",
      "name": "Aggregate Weekly Summary"
    },
    {
      "parameters": {
        "sendTo": "events-team@yourcompany.com",
        "subject": "=🎪 Weekly Trade Show & Event Intelligence Report: {{ $json.week_start }} to {{ $json.week_end }}",
        "message": "=<html>\n<head>\n  <style>\n    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Arial, sans-serif; line-height: 1.6; color: #333; }\n    .container { max-width: 900px; margin: 0 auto; padding: 20px; }\n    .header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 30px; border-radius: 10px 10px 0 0; }\n    .summary-box { background: #f8f9fa; padding: 20px; margin: 20px 0; border-radius: 8px; border-left: 4px solid #667eea; }\n    .metric { display: inline-block; margin: 10px 20px 10px 0; }\n    .metric-value { font-size: 32px; font-weight: bold; color: #667eea; }\n    .metric-label { font-size: 14px; color: #666; }\n    .chart-bar { height: 30px; background: #667eea; margin: 5px 0; border-radius: 5px; display: flex; align-items: center; padding: 0 10px; color: white; font-weight: bold; }\n    .announcement-box { background: white; padding: 15px; margin: 10px 0; border-radius: 8px; border-left: 3px solid #ffc107; }\n    .company-box { background: white; padding: 15px; margin: 10px 0; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }\n    table { width: 100%; border-collapse: collapse; margin: 20px 0; background: white; }\n    th { background: #667eea; color: white; padding: 12px; text-align: left; }\n    td { padding: 10px; border-bottom: 1px solid #ddd; }\n    tr:hover { background: #f5f5f5; }\n    .footer { text-align: center; color: #666; font-size: 12px; margin-top: 30px; padding-top: 20px; border-top: 2px solid #ddd; }\n  </style>\n</head>\n<body>\n  <div class=\"container\">\n    \n    <div class=\"header\">\n      <h1 style=\"margin: 0;\">🎪 Weekly Trade Show & Event Intelligence Report</h1>\n      <p style=\"margin: 10px 0 0 0; opacity: 0.9;\">{{ $json.week_start }} to {{ $json.week_end }}</p>\n    </div>\n    \n    <div class=\"summary-box\">\n      <h2 style=\"margin-top: 0; color: #667eea;\">📊 Overview</h2>\n      <div class=\"metric\">\n        <div class=\"metric-value\">{{ $json.total_posts_analyzed }}</div>\n        <div class=\"metric-label\">Event Posts Analyzed</div>\n      </div>\n      <div class=\"metric\">\n        <div class=\"metric-value\">{{ $json.product_showcase_count }}</div>\n        <div class=\"metric-label\">Product Showcases</div>\n      </div>\n      <div class=\"metric\">\n        <div class=\"metric-value\">{{ $json.networking_focus_count }}</div>\n        <div class=\"metric-label\">Networking Events</div>\n      </div>\n    </div>\n    \n    <div class=\"summary-box\">\n      <h2 style=\"margin-top: 0; 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