LeadFusion - Flujo de trabajo de enriquecimiento de leads con IA

• •Clave de API de HubSpot
• •Clave de API de OpenAI

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      "id": "61b4b6d1-48c9-485a-be3a-86ce40129b82",
      "name": "📩 Mailchimp Disparador de suscriptor",
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      "webhookId": "auto-generated",
      "parameters": {
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      "name": "📊 Extraer datos del suscriptor",
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        "jsCode": "// n8n Code node (JavaScript)\nconst output = [];\n\nfor (const item of items) {\n  const data = item.json;\n\n  const firstName = data[\"data[merges][FNAME]\"] || \"\";\n  const lastName = data[\"data[merges][LNAME]\"] || \"\";\n\n  output.push({\n    email: data[\"data[email]\"] || \"\",\n    firstName,\n    lastName,\n    fullName: `${firstName} ${lastName}`.trim(),\n    tags: [],\n    listId: data[\"data[list_id]\"] || \"\",\n    subscribedAt: new Date(data[\"fired_at\"]).toISOString()\n  });\n}\n\nreturn output.map(o => ({ json: o }));"
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      "id": "b5a3ce32-5793-442e-bbe3-4c6fd44c6779",
      "name": "🤖 IA de enriquecimiento de leads",
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      "parameters": {
        "text": "=You are an expert lead enrichment AI. Based on the provided email and name, enrich the lead with likely professional information and provide a lead score.  \n\nInput:  \nEmail: {{ $json.email }}  \nName: {{ $json.fullName }}  \n\nOutput:  \nRespond only in valid JSON format with the following keys:  \n- company  \n- jobTitle  \n- industry  \n- linkedinUrl  \n- intent  \n- leadScore (1-100, based on email domain and name quality)  \n- confidence (1-100, accuracy of enrichment guess)",
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      "name": "🧠 OpenAI Modelo",
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
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        "jsCode": "// Parse OpenAI response and merge with original subscriber data\nconst item = $input.first();\n\n// Fallback: take current input if node not found\nlet subscriberData = {};\ntry {\n  subscriberData = $node['Extract Subscriber Data']?.json || item.json;\n} catch (e) {\n  subscriberData = item.json;\n}\n\nlet enrichedData = {\n  company: 'Unknown Company',\n  jobTitle: 'Unknown Role',\n  industry: 'Unknown Industry',\n  linkedinUrl: '',\n  intent: 'General interest',\n  leadScore: 50,\n  confidence: 30\n};\n\n// Try to parse OpenAI response (already JSON)\ntry {\n  const openaiResponse = item.json;\n  let content = openaiResponse.output || openaiResponse;\n\n  if (typeof content === 'string') {\n    content = content.replace(/```json|```/g, '').trim();\n    content = JSON.parse(content);\n  }\n\n  enrichedData = { ...enrichedData, ...content };\n} catch (error) {\n  // Parsing failed – keep defaults\n}\n\nconst finalData = {\n  ...subscriberData,\n  ...enrichedData,\n  enrichedAt: new Date().toISOString()\n};\n\nreturn { json: finalData };"
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      "typeVersion": 2
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    {
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      "name": "💎 Verificación de lead de alto valor",
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              "id": "condition-1",
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                "operation": "gte"
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      "parameters": {
        "email": "={{ $('📊 Extract Subscriber Data').item.json.email }}",
        "options": {},
        "authentication": "appToken",
        "additionalFields": {
          "industry": "={{ $json.industry }}",
          "jobTitle": "={{ $json.jobTitle }}",
          "lastName": "={{ $('📊 Extract Subscriber Data').item.json.lastName }}",
          "firstName": "={{ $('📊 Extract Subscriber Data').item.json.firstName }}",
          "companyName": "={{ $json.company }}"
        }
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      "credentials": {
        "hubspotAppToken": {
          "id": "HUBSPOT_CREDENTIAL_ID",
          "name": "HubSpot Account"
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      "continueOnFail": true
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    {
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      "name": "👤 Pipedrive Crear persona",
      "type": "n8n-nodes-base.pipedrive",
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      "parameters": {
        "name": "={{ $('📊 Extract Subscriber Data').item.json.fullName }}",
        "resource": "person",
        "additionalFields": {
          "email": [
            "={{ $('📊 Extract Subscriber Data').item.json.email }}"
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      "parameters": {
        "title": "=High Value Lead - {{ $('📊 Extract Subscriber Data').item.json.fullName }}",
        "person_id": null,
        "associateWith": "person",
        "additionalFields": {
          "value": "={{ Math.round($json.leadScore * 10) }}",
          "status": "open",
          "currency": "USD"
        }
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      "credentials": {
        "pipedriveApi": {
          "id": "PIPEDRIVE_CREDENTIAL_ID",
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        "content": "## 1. Lead Capture & Subscriber Data Extraction\n\n*📩 Mailchimp Subscriber Trigger listens for new subscribers from the selected Mailchimp list.\n\n📊 Extract Subscriber Data processes the raw payload, extracting structured details like first name, last name, email, list ID, and subscription timestamp.\n\n👉 Together, these two nodes handle the initial capture of leads and prepare them for enrichment.*"
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        "content": "## 2. AI-Powered Lead Enrichment\n\n*🤖 Lead Enrichment AI uses AI to enrich subscriber data, predicting company, job title, industry, intent, LinkedIn URL, and assigning a lead score.\n\n🔎 Parse & Merge Enrichment parses AI output, merges it with the subscriber's base data, and ensures defaults are set if enrichment fails.\n\n👉 This group forms the AI enrichment layer – enhancing leads with professional and scoring data for downstream CRM use.*"
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        "content": "## 3. Lead Qualification & Scoring\n\n*💎 High-Value Lead Check evaluates the lead score and determines if it meets the high-value threshold (≥70).\n\n👉 This acts as the qualification logic to filter out top-priority leads for special handling.*"
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        "content": "## 4. CRM Sync & Deal Creation\n\n*CRM integration syncs enriched leads to HubSpot & Pipedrive, with automatic deal creation for high-value leads*"
      },
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