Website Intelligence & Lead Scoring with Scrapegraphai, Hubspot and Slack

The workflow JSON

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{
  "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"
    }
  ],
  "nodes": [
    {
      "id": "2edae932-a3e1-42b6-b898-24adff666dd8",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -1600,
        672
      ],
      "parameters": {
        "path": "visitor-tracking",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 1.1
    },
    {
      "id": "f8ff3605-a05d-49a8-b739-9b07ca1497a6",
      "name": "ScrapeGraphAI - Company Intel",
      "type": "n8n-nodes-scrapegraphai.scrapegraphAi",
      "position": [
        -1088,
        640
      ],
      "parameters": {
        "userPrompt": "Extract comprehensive company information from this website. Use the following schema for response: { \"company_name\": \"Company Name\", \"industry\": \"Technology/Healthcare/etc\", \"company_size\": \"1-50/51-200/201-1000/1000+\", \"description\": \"Brief company description\", \"services\": [\"Service 1\", \"Service 2\"], \"contact_info\": { \"email\": \"user@example.com\", \"phone\": \"+1-555-0123\", \"address\": \"123 Business St, City, State\" }, \"social_media\": { \"linkedin\": \"linkedin.com/company/name\", \"twitter\": \"@company\" }, \"key_personnel\": [{ \"name\": \"John Doe\", \"title\": \"CEO\" }], \"technologies\": [\"React\", \"AWS\", \"etc\"], \"recent_news\": [\"Recent announcement or news\"], \"funding_info\": \"Series A, $5M raised\", \"competitors\": [\"Competitor 1\", \"Competitor 2\"] }",
        "websiteUrl": "={{ $json.company_domain ? 'https://' + $json.company_domain : 'https://' + $json.visitor_ip_domain }}"
      },
      "typeVersion": 1
    },
    {
      "id": "50729cf8-6781-4f80-9b4f-acb57f4a1d4c",
      "name": "Visitor Enricher",
      "type": "n8n-nodes-base.code",
      "position": [
        -480,
        656
      ],
      "parameters": {
        "jsCode": "// Get input data from webhook and scraped company data\nconst visitorData = $input.first().json;\nconst companyData = $input.last().json.result || {};\n\n// Enrich visitor data with company intelligence\nfunction enrichVisitorData(visitor, company) {\n  const enrichedData = {\n    // Original visitor data\n    visitor_id: visitor.visitor_id || generateVisitorId(),\n    timestamp: visitor.timestamp || new Date().toISOString(),\n    ip_address: visitor.ip_address,\n    user_agent: visitor.user_agent,\n    page_visited: visitor.page_visited,\n    referrer: visitor.referrer,\n    session_duration: visitor.session_duration || 0,\n    pages_viewed: visitor.pages_viewed || 1,\n    \n    // Enriched company data\n    company: {\n      name: company.company_name || 'Unknown Company',\n      domain: visitor.company_domain || visitor.visitor_ip_domain,\n      industry: company.industry || 'Unknown',\n      size: company.company_size || 'Unknown',\n      description: company.description || '',\n      services: company.services || [],\n      technologies: company.technologies || [],\n      funding_info: company.funding_info || '',\n      competitors: company.competitors || []\n    },\n    \n    // Contact information\n    contact_info: company.contact_info || {},\n    social_media: company.social_media || {},\n    key_personnel: company.key_personnel || [],\n    \n    // Behavioral data\n    behavior: {\n      visit_type: determineVisitType(visitor),\n      engagement_level: calculateEngagement(visitor),\n      intent_signals: identifyIntentSignals(visitor),\n      device_type: getDeviceType(visitor.user_agent),\n      location: visitor.location || 'Unknown'\n    },\n    \n    // Recent company activity\n    recent_activity: {\n      news: company.recent_news || [],\n      last_updated: new Date().toISOString()\n    }\n  };\n  \n  return enrichedData;\n}\n\nfunction generateVisitorId() {\n  return 'visitor_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);\n}\n\nfunction determineVisitType(visitor) {\n  if (visitor.referrer && visitor.referrer.includes('google.com')) {\n    return 'organic_search';\n  } else if (visitor.referrer && visitor.referrer.includes('linkedin.com')) {\n    return 'social_media';\n  } else if (!visitor.referrer) {\n    return 'direct';\n  } else {\n    return 'referral';\n  }\n}\n\nfunction calculateEngagement(visitor) {\n  const duration = visitor.session_duration || 0;\n  const pages = visitor.pages_viewed || 1;\n  \n  if (duration > 300 && pages > 3) return 'high';\n  if (duration > 120 && pages > 1) return 'medium';\n  return 'low';\n}\n\nfunction identifyIntentSignals(visitor) {\n  const signals = [];\n  const page = visitor.page_visited || '';\n  \n  if (page.includes('/pricing')) signals.push('pricing_interest');\n  if (page.includes('/demo')) signals.push('demo_request');\n  if (page.includes('/contact')) signals.push('contact_intent');\n  if (page.includes('/case-study')) signals.push('research_mode');\n  if (page.includes('/careers')) signals.push('hiring_interest');\n  \n  return signals;\n}\n\nfunction getDeviceType(userAgent) {\n  if (!userAgent) return 'unknown';\n  if (/Mobile|Android|iPhone/i.test(userAgent)) return 'mobile';\n  if (/Tablet|iPad/i.test(userAgent)) return 'tablet';\n  return 'desktop';\n}\n\n// Process the enrichment\nconst enrichedVisitor = enrichVisitorData(visitorData, companyData);\n\nconsole.log('Visitor enriched with company intelligence:', enrichedVisitor.company.name);\n\nreturn {\n  json: enrichedVisitor\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "e79a7dce-bbad-49ae-9f59-cc41593b503f",
      "name": "Lead Scorer",
      "type": "n8n-nodes-base.code",
      "position": [
        48,
        656
      ],
      "parameters": {
        "jsCode": "// Get enriched visitor data\nconst enrichedData = $input.first().json;\n\n// Lead scoring algorithm\nfunction calculateLeadScore(data) {\n  let score = 0;\n  const factors = {};\n  \n  // Company size scoring (0-25 points)\n  const companySize = data.company.size;\n  if (companySize === '1000+') {\n    score += 25;\n    factors.company_size = 25;\n  } else if (companySize === '201-1000') {\n    score += 20;\n    factors.company_size = 20;\n  } else if (companySize === '51-200') {\n    score += 15;\n    factors.company_size = 15;\n  } else if (companySize === '1-50') {\n    score += 10;\n    factors.company_size = 10;\n  } else {\n    factors.company_size = 0;\n  }\n  \n  // Industry relevance (0-20 points)\n  const targetIndustries = ['Technology', 'SaaS', 'Software', 'Finance', 'Healthcare'];\n  if (targetIndustries.includes(data.company.industry)) {\n    score += 20;\n    factors.industry_fit = 20;\n  } else {\n    factors.industry_fit = 0;\n  }\n  \n  // Engagement level (0-20 points)\n  if (data.behavior.engagement_level === 'high') {\n    score += 20;\n    factors.engagement = 20;\n  } else if (data.behavior.engagement_level === 'medium') {\n    score += 12;\n    factors.engagement = 12;\n  } else {\n    score += 5;\n    factors.engagement = 5;\n  }\n  \n  // Intent signals (0-25 points)\n  const intentPoints = data.behavior.intent_signals.length * 5;\n  score += Math.min(intentPoints, 25);\n  factors.intent_signals = Math.min(intentPoints, 25);\n  \n  // Technology stack alignment (0-10 points)\n  const ourTechnologies = ['React', 'AWS', 'Python', 'Node.js', 'Docker'];\n  const commonTech = data.company.technologies.filter(tech => \n    ourTechnologies.includes(tech)\n  ).length;\n  const techScore = Math.min(commonTech * 2, 10);\n  score += techScore;\n  factors.tech_alignment = techScore;\n  \n  return { score, factors };\n}\n\n// Calculate lead qualification\nfunction qualifyLead(score) {\n  if (score >= 80) return 'hot';\n  if (score >= 60) return 'warm';\n  if (score >= 40) return 'qualified';\n  if (score >= 20) return 'cold';\n  return 'unqualified';\n}\n\n// Determine priority level\nfunction getPriority(qualification, intentSignals) {\n  if (qualification === 'hot' || intentSignals.includes('demo_request')) {\n    return 'immediate';\n  }\n  if (qualification === 'warm' || intentSignals.includes('pricing_interest')) {\n    return 'high';\n  }\n  if (qualification === 'qualified') {\n    return 'medium';\n  }\n  return 'low';\n}\n\n// Generate recommended actions\nfunction getRecommendedActions(data, qualification, priority) {\n  const actions = [];\n  \n  if (priority === 'immediate') {\n    actions.push('Schedule immediate sales call');\n    actions.push('Send personalized demo invitation');\n  }\n  \n  if (data.behavior.intent_signals.includes('pricing_interest')) {\n    actions.push('Share pricing information');\n    actions.push('Offer custom quote');\n  }\n  \n  if (data.behavior.intent_signals.includes('contact_intent')) {\n    actions.push('Initiate contact within 24 hours');\n  }\n  \n  if (qualification === 'warm' || qualification === 'hot') {\n    actions.push('Add to priority nurture campaign');\n    actions.push('Research key contacts at company');\n  }\n  \n  if (data.company.funding_info) {\n    actions.push('Review recent funding for expansion opportunities');\n  }\n  \n  return actions;\n}\n\n// Process scoring\nconst scoringResult = calculateLeadScore(enrichedData);\nconst qualification = qualifyLead(scoringResult.score);\nconst priority = getPriority(qualification, enrichedData.behavior.intent_signals);\nconst recommendedActions = getRecommendedActions(enrichedData, qualification, priority);\n\n// Create final scored lead data\nconst scoredLead = {\n  ...enrichedData,\n  lead_score: {\n    total_score: scoringResult.score,\n    max_score: 100,\n    scoring_factors: scoringResult.factors,\n    qualification: qualification,\n    priority: priority,\n    scored_at: new Date().toISOString()\n  },\n  recommendations: {\n    actions: recommendedActions,\n    next_steps: getNextSteps(qualification, priority),\n    estimated_deal_size: estimateDealSize(enrichedData.company.size, enrichedData.company.industry)\n  }\n};\n\nfunction getNextSteps(qualification, priority) {\n  if (priority === 'immediate') {\n    return 'Contact within 1 hour';\n  } else if (priority === 'high') {\n    return 'Contact within 4 hours';\n  } else if (priority === 'medium') {\n    return 'Contact within 24 hours';\n  }\n  return 'Add to nurture sequence';\n}\n\nfunction estimateDealSize(companySize, industry) {\n  let baseSize = 5000; // Base deal size\n  \n  // Adjust by company size\n  if (companySize === '1000+') baseSize *= 10;\n  else if (companySize === '201-1000') baseSize *= 5;\n  else if (companySize === '51-200') baseSize *= 2;\n  \n  // Adjust by industry\n  if (['Finance', 'Healthcare'].includes(industry)) baseSize *= 1.5;\n  if (industry === 'Technology') baseSize *= 1.3;\n  \n  return `$${baseSize.toLocaleString()} - $${(baseSize * 3).toLocaleString()}`;\n}\n\nconsole.log(`Lead scored: ${scoringResult.score}/100 - ${qualification} (${priority} priority)`);\n\nreturn {\n  json: scoredLead\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "2b7a58ba-2086-479d-b90b-99487760145a",
      "name": "CRM Update",
      "type": "n8n-nodes-base.hubspot",
      "position": [
        576,
        672
      ],
      "parameters": {
        "email": "={{ $json.contact_info.email || $json.visitor_id + '@' + $json.company.domain }}",
        "options": {},
        "additionalFields": {
          "industry": "={{ $json.company.industry }}"
        }
      },
      "typeVersion": 2
    },
    {
      "id": "f8703761-8c95-41e1-a1a7-6a1f937021ce",
      "name": "Sales Alert",
      "type": "n8n-nodes-base.slack",
      "position": [
        1056,
        800
      ],
      "parameters": {
        "text": "\ud83d\udea8 **HIGH PRIORITY LEAD ALERT** \ud83d\udea8\n\n\ud83d\udc64 **Visitor Details:**\n\u2022 Company: {{ $json.company.name }}\n\u2022 Industry: {{ $json.company.industry }}\n\u2022 Size: {{ $json.company.size }}\n\u2022 Website: {{ $json.company.domain }}\n\n\ud83d\udcca **Lead Score: {{ $json.lead_score.total_score }}/100**\n\ud83c\udfaf **Qualification: {{ $json.lead_score.qualification.toUpperCase() }}**\n\u26a1 **Priority: {{ $json.lead_score.priority.toUpperCase() }}**\n\n\ud83d\udd0d **Intent Signals:**\n{{ $json.behavior.intent_signals.length > 0 ? $json.behavior.intent_signals.map(signal => '\u2022 ' + signal.replace('_', ' ')).join('\\n') : '\u2022 No specific signals detected' }}\n\n\ud83c\udfaf **Recommended Actions:**\n{{ $json.recommendations.actions.map(action => '\u2022 ' + action).join('\\n') }}\n\n\ud83d\udcb0 **Estimated Deal Size:** {{ $json.recommendations.estimated_deal_size }}\n\u23f0 **Next Steps:** {{ $json.recommendations.next_steps }}\n\n\ud83d\udcf1 **Visit Details:**\n\u2022 Page: {{ $json.page_visited }}\n\u2022 Source: {{ $json.behavior.visit_type }}\n\u2022 Engagement: {{ $json.behavior.engagement_level }}\n\u2022 Device: {{ $json.behavior.device_type }}\n\n\ud83d\udd50 **Detected:** {{ new Date($json.timestamp).toLocaleString() }}\n\n---\n*Visitor ID: {{ $json.visitor_id }}*",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C1234567890"
        },
        "otherOptions": {
          "mrkdwn": true
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "5225845d-d700-4fec-95bd-8c4fc4d9a309",
      "name": "Sticky Note 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1808,
        32
      ],
      "parameters": {
        "color": 4,
        "width": 550,
        "height": 962,
        "content": "# Step 1: Webhook Trigger \ud83c\udfa3\n\nCaptures visitor data from your website tracking code.\n\n## Expected Data Format\n```json\n{\n  \"visitor_id\": \"unique_id\",\n  \"ip_address\": \"192.168.1.1\",\n  \"company_domain\": \"example.com\",\n  \"page_visited\": \"/pricing\",\n  \"referrer\": \"google.com\",\n  \"user_agent\": \"browser_info\",\n  \"session_duration\": 180,\n  \"pages_viewed\": 3\n}\n```\n\n## Setup\n- Install tracking script on your website\n- Configure webhook URL in your analytics\n- Test with sample visitor data"
      },
      "typeVersion": 1
    },
    {
      "id": "ffe05945-e48b-418e-90f1-9a60b089a33a",
      "name": "Sticky Note 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1264,
        32
      ],
      "parameters": {
        "color": 5,
        "width": 550,
        "height": 962,
        "content": "# Step 2: ScrapeGraphAI - Company Intel \ud83d\udd75\ufe0f\n\nScrapes the visitor's company website to gather intelligence.\n\n## What It Extracts\n- Company name and description\n- Industry and company size\n- Services and technologies\n- Contact information\n- Key personnel\n- Recent news and funding\n- Competitor analysis\n\n## Configuration\n- Add your ScrapeGraphAI API credentials\n- Uses dynamic URL from visitor data\n- Comprehensive company profiling"
      },
      "typeVersion": 1
    },
    {
      "id": "2f417273-502f-4063-b645-ea0768282376",
      "name": "Sticky Note 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -720,
        32
      ],
      "parameters": {
        "color": 6,
        "width": 550,
        "height": 962,
        "content": "# Step 3: Visitor Enricher \ud83d\udd0d\n\nCombines visitor behavior with company intelligence.\n\n## Enrichment Process\n- Merges visitor data with company info\n- Analyzes behavioral patterns\n- Identifies intent signals\n- Determines engagement level\n- Extracts device and location data\n\n## Output\n- Complete visitor profile\n- Company context\n- Behavioral insights\n- Intent indicators"
      },
      "typeVersion": 1
    },
    {
      "id": "16cdaabe-0e33-46d0-ac39-cdac97f5469b",
      "name": "Sticky Note 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -192,
        32
      ],
      "parameters": {
        "color": 7,
        "width": 550,
        "height": 962,
        "content": "# Step 4: Lead Scorer \ud83d\udcca\n\nCalculates lead score based on multiple factors.\n\n## Scoring Factors (0-100 points)\n- **Company Size** (0-25): Larger = higher score\n- **Industry Fit** (0-20): Target industries get max\n- **Engagement Level** (0-20): Time + pages viewed\n- **Intent Signals** (0-25): Pricing, demo, contact pages\n- **Tech Alignment** (0-10): Matching technology stack\n\n## Qualification Levels\n- **Hot** (80+): Immediate action needed\n- **Warm** (60-79): High priority follow-up\n- **Qualified** (40-59): Standard nurturing\n- **Cold** (20-39): Long-term nurturing\n- **Unqualified** (<20): Monitor only"
      },
      "typeVersion": 1
    },
    {
      "id": "62de77ee-8872-4dd9-8697-630d7cb38740",
      "name": "Sticky Note 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        352,
        32
      ],
      "parameters": {
        "color": 3,
        "width": 550,
        "height": 962,
        "content": "# Step 5: CRM Update \ud83d\udcbe\n\nUpdates your CRM with enriched lead data.\n\n## CRM Integration (HubSpot)\n- Creates/updates contact record\n- Sets lead score and qualification\n- Adds company information\n- Updates custom properties\n- Assigns to appropriate pipeline\n\n## Data Sync\n- Visitor behavior data\n- Company intelligence\n- Lead scoring results\n- Intent signals\n- Estimated deal size\n\n## Configuration\n- Add HubSpot API credentials\n- Map custom properties\n- Set up lead routing rules"
      },
      "typeVersion": 1
    },
    {
      "id": "13f3e379-bc37-4fd8-98c0-6506801d7016",
      "name": "Sticky Note 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        912,
        32
      ],
      "parameters": {
        "color": 2,
        "width": 550,
        "height": 978,
        "content": "# Step 6: Sales Alert \ud83d\udea8\n\nSends real-time alerts to your sales team.\n\n## Alert Triggers\n- High-priority leads (Warm/Hot)\n- Specific intent signals\n- Large company visitors\n- Repeat visitors\n\n## Alert Details\n- Lead score and qualification\n- Company information\n- Intent signals detected\n- Recommended actions\n- Estimated deal size\n- Next steps timeline\n\n## Channels\n- Slack notifications\n- Email alerts\n- SMS for urgent leads\n- Mobile push notifications\n\n## Configuration\n- Set up Slack workspace integration\n- Configure alert thresholds\n- Customize message templates"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "8d04ee78-cffe-4783-9d8a-f0aae110ca60",
  "connections": {
    "CRM Update": {
      "main": [
        [
          {
            "node": "Sales Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Lead Scorer": {
      "main": [
        [
          {
            "node": "CRM Update",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "ScrapeGraphAI - Company Intel",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Visitor Enricher": {
      "main": [
        [
          {
            "node": "Lead Scorer",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "ScrapeGraphAI - Company Intel": {
      "main": [
        [
          {
            "node": "Visitor Enricher",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

About this workflow

This workflow automatically analyzes website visitors in real-time, enriches their data with company intelligence, and provides lead scoring and sales alerts. Webhook Trigger - Receives visitor data from your website tracking system. AI-Powered Company Intelligence - Uses…

Source: https://n8n.io/workflows/6570/ — original creator credit. Request a take-down →

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