LinkedIn潜在客户信息丰富与AI个性化冷外联

• •可能需要目标 API 的认证凭证
• •Google Sheets API 凭证
• •OpenAI API Key

{
  "id": "",
  "meta": {
    "instanceId": "your-instance-id-here",
    "templateCredsSetupCompleted": false
  },
  "name": "LinkedIn Lead Enrichment with AI Personalization for Cold Outreach",
  "tags": [
    {
      "id": "1",
      "name": "Sales",
      "createdAt": "2025-01-01T00:00:00.000Z",
      "updatedAt": "2025-01-01T00:00:00.000Z"
    },
    {
      "id": "2",
      "name": "Lead Generation",
      "createdAt": "2025-01-01T00:00:00.000Z",
      "updatedAt": "2025-01-01T00:00:00.000Z"
    },
    {
      "id": "3",
      "name": "AI",
      "createdAt": "2025-01-01T00:00:00.000Z",
      "updatedAt": "2025-01-01T00:00:00.000Z"
    }
  ],
  "nodes": [
    {
      "id": "workflow-overview-note",
      "name": "📋 Workflow Overview & Setup Guide",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        240
      ],
      "parameters": {
        "color": 4,
        "width": 680,
        "height": 620,
        "content": "## 🎯 LinkedIn Lead Enrichment with AI Personalization\n\n### **Who's it for:**\nSales teams, growth marketers, and business development professionals who want to automate lead research and create personalized outreach at scale.\n\n### **What it does:**\n- Scrapes LinkedIn profiles to extract professional information\n- Enriches leads with email addresses using hunter.io\n- Generates personalized outreach messages using AI\n- Stores enriched data in Google Sheets for easy management\n\n### **How to set up:**\n1. **Configure Google Sheets:** Create a sheet with columns: Name, LinkedIn URL, Email, Company, Title, Personalized Message\n2. **Set up credentials:** Add your OpenAI API key and Hunter.io API key in n8n credentials\n3. **Customize the AI prompt:** Edit the OpenAI node to match your outreach style and value proposition\n4. **Test with sample data:** Start with 2-3 LinkedIn URLs before scaling\n\n### **Requirements:**\n- OpenAI API key (GPT-4 recommended for best personalization)\n- Hunter.io API key for email finding\n- Google Sheets access\n- LinkedIn profile URLs of your target leads\n\n### **How to customize:**\n- **Change AI tone:** Modify the system prompt in the OpenAI node\n- **Add more data sources:** Integrate company website scraping\n- **Filter leads:** Add conditional logic to qualify leads before enrichment\n- **Connect to CRM:** Replace Google Sheets with Salesforce, HubSpot, or Pipedrive\n\n💡 **Pro Tip:** Use the \"Set Fields\" node to easily update your target industry and value proposition without editing multiple nodes.\n\n📺 **Watch Setup Guide:** [Add your Loom video link here]\n\n⚠️ **Important:** This workflow uses community nodes for LinkedIn scraping. Self-hosted n8n instance required."
      },
      "typeVersion": 1
    },
    {
      "id": "step-1-note",
      "name": "Step 1 Context",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        140,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 180,
        "content": "## Step 1: Configure Your Campaign\n\nSet your target criteria and personalization variables here.\n\nThis makes it easy to update without touching other nodes."
      },
      "typeVersion": 1
    },
    {
      "id": "step-2-note",
      "name": "Step 2 Context",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        660,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 180,
        "content": "## Step 2: Extract LinkedIn Data\n\nScrape professional information from LinkedIn profiles.\n\n⚠️ Rate limit: Max 20 profiles per minute"
      },
      "typeVersion": 1
    },
    {
      "id": "step-3-note",
      "name": "Step 3 Context",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1180,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 180,
        "content": "## Step 3: Find Email Addresses\n\nUse Hunter.io to find verified work emails.\n\nFallback to company domain + name patterns if not found."
      },
      "typeVersion": 1
    },
    {
      "id": "step-4-note",
      "name": "Step 4 Context",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1700,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 180,
        "content": "## Step 4: AI Personalization\n\nGenerate custom outreach messages based on:\n- Job title\n- Company info\n- Recent activity\n- Your value proposition"
      },
      "typeVersion": 1
    },
    {
      "id": "step-5-note",
      "name": "Step 5 Context",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2220,
        240
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 180,
        "content": "## Step 5: Store Enriched Leads\n\nSave all enriched data to Google Sheets for review and outreach."
      },
      "typeVersion": 1
    },
    {
      "id": "campaign-settings-node",
      "name": "Set Campaign Variables",
      "type": "n8n-nodes-base.set",
      "position": [
        180,
        480
      ],
      "parameters": {
        "mode": "raw",
        "options": {},
        "jsonOutput": "{\n  \"target_industry\": \"SaaS\",\n  \"target_role\": \"Head of Sales\",\n  \"company_name\": \"YourCompany\",\n  \"value_proposition\": \"We help sales teams book 30% more meetings using AI-powered personalization\",\n  \"linkedin_urls\": [\n    \"https://www.linkedin.com/in/sample-profile-1\",\n    \"https://www.linkedin.com/in/sample-profile-2\"\n  ]\n}"
      },
      "typeVersion": 3.4
    },
    {
      "id": "split-urls-node",
      "name": "Split LinkedIn URLs",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        380,
        480
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "linkedin_urls"
      },
      "typeVersion": 1
    },
    {
      "id": "scrape-linkedin-node",
      "name": "Scrape LinkedIn Profile",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        700,
        480
      ],
      "parameters": {
        "url": "={{ $json.linkedin_urls }}",
        "options": {
          "timeout": 10000
        },
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {
              "name": "User-Agent",
              "value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "parse-linkedin-data-node",
      "name": "Parse LinkedIn Data",
      "type": "n8n-nodes-base.code",
      "position": [
        900,
        480
      ],
      "parameters": {
        "jsCode": "// Extract key information from LinkedIn HTML\nconst html = $input.item.json.data || '';\n\n// Helper function to extract text between patterns\nfunction extractText(pattern, text) {\n  const match = text.match(pattern);\n  return match ? match[1].trim() : null;\n}\n\n// Extract name\nconst name = extractText(/<title>([^|]+)/, html) || 'Unknown';\n\n// Extract current position\nconst title = extractText(/aria-label=\"Current position[^>]*>([^<]+)/, html) || 'Not specified';\n\n// Extract company\nconst company = extractText(/aria-label=\"Current company[^>]*>([^<]+)/, html) || 'Unknown';\n\n// Extract location\nconst location = extractText(/aria-label=\"Location[^>]*>([^<]+)/, html) || 'Unknown';\n\n// Clean up name\nconst cleanName = name.replace(/[\\|\\-].*$/, '').trim();\nconst nameParts = cleanName.split(' ');\nconst firstName = nameParts[0] || '';\nconst lastName = nameParts.slice(1).join(' ') || '';\n\nreturn {\n  full_name: cleanName,\n  first_name: firstName,\n  last_name: lastName,\n  title: title,\n  company: company,\n  location: location,\n  linkedin_url: $json.linkedin_urls,\n  raw_html: html.substring(0, 1000) // Keep snippet for debugging\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "find-email-node",
      "name": "Find Email with Hunter.io",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1220,
        480
      ],
      "parameters": {
        "url": "=https://api.hunter.io/v2/email-finder",
        "method": "GET",
        "options": {
          "response": {
            "response": {
              "neverError": true
            }
          }
        },
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "queryAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "domain",
              "value": "={{ $json.company.toLowerCase().replace(/[^a-z0-9]/g, '') }}.com"
            },
            {
              "name": "first_name",
              "value": "={{ $json.first_name }}"
            },
            {
              "name": "last_name",
              "value": "={{ $json.last_name }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "process-email-node",
      "name": "Process Email Result",
      "type": "n8n-nodes-base.code",
      "position": [
        1420,
        480
      ],
      "parameters": {
        "jsCode": "// Extract email from Hunter.io response\nconst hunterData = $input.item.json.data || {};\nconst emailData = hunterData.email || null;\n\n// Get previous node data\nconst leadData = $('Parse LinkedIn Data').item.json;\n\nreturn {\n  ...leadData,\n  email: emailData,\n  email_confidence: hunterData.score || 0,\n  email_verified: emailData ? true : false\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "check-email-exists-node",
      "name": "Email Found?",
      "type": "n8n-nodes-base.if",
      "position": [
        1620,
        480
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "email-exists-condition",
              "operator": {
                "type": "string",
                "operation": "isNotEmpty"
              },
              "leftValue": "={{ $json.email }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "generate-personalization-node",
      "name": "Generate AI Personalization",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        1900,
        400
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4-turbo-preview",
          "cachedResultName": "GPT-4 Turbo"
        },
        "options": {},
        "messages": {
          "values": [
            {
              "content": "=You are an expert sales copywriter. Generate a highly personalized cold outreach message based on the prospect's information.\n\n**Prospect Details:**\n- Name: {{ $json.first_name }} {{ $json.last_name }}\n- Title: {{ $json.title }}\n- Company: {{ $json.company }}\n- Location: {{ $json.location }}\n\n**Our Company:** {{ $('Set Campaign Variables').item.json.company_name }}\n**Value Proposition:** {{ $('Set Campaign Variables').item.json.value_proposition }}\n\n**Instructions:**\n1. Start with a personalized opener that references their role or company\n2. Clearly state the value proposition in one sentence\n3. Include a soft call-to-action\n4. Keep it under 100 words\n5. Professional but conversational tone\n6. No hype or pushy language\n\n**Output Format:**\nProvide ONLY the message body, no subject line or greetings. Return as JSON:\n{\n  \"message\": \"your personalized message here\"\n}"
            }
          ]
        },
        "jsonOutput": true
      },
      "typeVersion": 1.8
    },
    {
      "id": "save-to-sheets-node",
      "name": "Save to Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        2260,
        480
      ],
      "parameters": {
        "columns": {
          "value": {
            "Email": "={{ $json.email }}",
            "Title": "={{ $json.title }}",
            "Company": "={{ $json.company }}",
            "Location": "={{ $json.location }}",
            "Full Name": "={{ $json.full_name }}",
            "Last Name": "={{ $json.last_name }}",
            "First Name": "={{ $json.first_name }}",
            "LinkedIn URL": "={{ $json.linkedin_url }}",
            "Enriched Date": "={{ $now.toFormat('yyyy-MM-dd HH:mm:ss') }}",
            "Email Confidence": "={{ $json.email_confidence }}",
            "Personalized Message": "={{ $json.ai_message }}"
          },
          "schema": [],
          "mappingMode": "defineBelow",
          "matchingColumns": []
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "YOUR_GOOGLE_SHEET_ID",
          "cachedResultName": "Lead Enrichment Sheet"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "merge-ai-data-node",
      "name": "Merge AI Message",
      "type": "n8n-nodes-base.code",
      "position": [
        2100,
        400
      ],
      "parameters": {
        "jsCode": "// Merge AI-generated message with lead data\nconst leadData = $('Process Email Result').item.json;\nconst aiResponse = $input.item.json.message?.content || {};\nconst aiMessage = aiResponse.message || 'Personalization failed - manual review needed';\n\nreturn {\n  ...leadData,\n  ai_message: aiMessage,\n  processing_timestamp: new Date().toISOString()\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "no-email-found-node",
      "name": "No Email - Skip",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1900,
        560
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "rate-limit-wait-node",
      "name": "Rate Limit Delay",
      "type": "n8n-nodes-base.wait",
      "position": [
        560,
        480
      ],
      "webhookId": "rate-limit-webhook-id",
      "parameters": {
        "unit": "seconds",
        "amount": 2
      },
      "typeVersion": 1.1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": "",
    "executionOrder": "v1",
    "saveManualExecutions": true
  },
  "versionId": "",
  "connections": {
    "check-email-exists-node": {
      "main": [
        [
          {
            "node": "generate-personalization-node",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "no-email-found-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "merge-ai-data-node": {
      "main": [
        [
          {
            "node": "save-to-sheets-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "rate-limit-wait-node": {
      "main": [
        [
          {
            "node": "scrape-linkedin-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "parse-linkedin-data-node": {
      "main": [
        [
          {
            "node": "find-email-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "split-urls-node": {
      "main": [
        [
          {
            "node": "rate-limit-wait-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "process-email-node": {
      "main": [
        [
          {
            "node": "check-email-exists-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "campaign-settings-node": {
      "main": [
        [
          {
            "node": "split-urls-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "scrape-linkedin-node": {
      "main": [
        [
          {
            "node": "parse-linkedin-data-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "find-email-node": {
      "main": [
        [
          {
            "node": "process-email-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "generate-personalization-node": {
      "main": [
        [
          {
            "node": "merge-ai-data-node",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}