{
  "name": "AI Lead Generation & Enrichment (Outscraper + Gemini)",
  "nodes": [
    {
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "cronExpression",
              "expression": "0 9 * * 1"
            }
          ]
        }
      },
      "id": "schedule-trigger",
      "name": "Schedule Trigger",
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.2,
      "position": [
        240,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.outscraper.com/maps/search-v3",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "X-API-KEY",
              "value": "={{ $credentials.outscraperApi.apiKey }}"
            }
          ]
        },
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "query",
              "value": "digital marketing agencies in San Francisco"
            },
            {
              "name": "limit",
              "value": "20"
            },
            {
              "name": "language",
              "value": "en"
            }
          ]
        },
        "options": {}
      },
      "id": "outscraper-api",
      "name": "Outscraper API",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        460,
        300
      ]
    },
    {
      "parameters": {
        "fieldToSplitOut": "data",
        "options": {}
      },
      "id": "split-leads",
      "name": "Split Into Items",
      "type": "n8n-nodes-base.splitOut",
      "typeVersion": 1,
      "position": [
        680,
        300
      ]
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "company_name",
              "name": "company_name",
              "value": "={{ $json.name }}",
              "type": "string"
            },
            {
              "id": "phone",
              "name": "phone",
              "value": "={{ $json.phone }}",
              "type": "string"
            },
            {
              "id": "website",
              "name": "website",
              "value": "={{ $json.site }}",
              "type": "string"
            },
            {
              "id": "address",
              "name": "address",
              "value": "={{ $json.full_address }}",
              "type": "string"
            },
            {
              "id": "rating",
              "name": "rating",
              "value": "={{ $json.rating }}",
              "type": "number"
            },
            {
              "id": "reviews",
              "name": "reviews_count",
              "value": "={{ $json.reviews }}",
              "type": "number"
            },
            {
              "id": "category",
              "name": "category",
              "value": "={{ $json.category }}",
              "type": "string"
            },
            {
              "id": "description",
              "name": "description",
              "value": "={{ $json.description }}",
              "type": "string"
            },
            {
              "id": "email",
              "name": "email",
              "value": "={{ $json.email }}",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "id": "extract-data",
      "name": "Extract Lead Data",
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        900,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent",
        "authentication": "genericCredentialType",
        "genericAuthType": "queryAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"contents\": [{\n    \"parts\": [{\n      \"text\": \"You are a lead qualification expert for B2B sales. Analyze this company and provide:\\n\\n1. QUALIFICATION SCORE (0-100): Rate how likely this company is to buy marketing automation services\\n2. KEY INSIGHTS: List 3 specific reasons for the score\\n3. PAIN POINTS: Identify 2-3 likely business challenges\\n4. DECISION MAKER: Suggest the most likely job title to contact\\n\\nCompany Details:\\n- Name: {{ $json.company_name }}\\n- Category: {{ $json.category }}\\n- Description: {{ $json.description }}\\n- Rating: {{ $json.rating }}\\n- Reviews: {{ $json.reviews_count }}\\n- Website: {{ $json.website }}\\n\\nFormat your response as JSON with these exact keys: qualification_score, key_insights, pain_points, decision_maker\"\n    }]\n  }]\n}",
        "options": {}
      },
      "id": "gemini-qualify",
      "name": "Gemini - Qualify Lead",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        1120,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "// Extract the AI response and parse it\nconst aiResponse = $input.item.json.candidates[0].content.parts[0].text;\n\n// Try to extract JSON from the response\nlet qualificationData;\ntry {\n  // Remove markdown code blocks if present\n  const cleanedResponse = aiResponse.replace(/```json\\n?|```\\n?/g, '').trim();\n  qualificationData = JSON.parse(cleanedResponse);\n} catch (error) {\n  // Fallback if JSON parsing fails\n  qualificationData = {\n    qualification_score: 50,\n    key_insights: [\"Unable to parse AI response\"],\n    pain_points: [\"Analysis pending\"],\n    decision_maker: \"Marketing Director\"\n  };\n}\n\n// Get the original lead data from the previous node\nconst leadData = $('Extract Lead Data').item.json;\n\n// Combine everything\nreturn {\n  ...leadData,\n  qualification_score: qualificationData.qualification_score,\n  key_insights: Array.isArray(qualificationData.key_insights) ? qualificationData.key_insights.join('; ') : qualificationData.key_insights,\n  pain_points: Array.isArray(qualificationData.pain_points) ? qualificationData.pain_points.join('; ') : qualificationData.pain_points,\n  decision_maker: qualificationData.decision_maker\n};"
      },
      "id": "parse-qualification",
      "name": "Parse AI Response",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1340,
        300
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash-exp:generateContent",
        "authentication": "genericCredentialType",
        "genericAuthType": "queryAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"contents\": [{\n    \"parts\": [{\n      \"text\": \"Write a personalized cold outreach message for this company. Keep it under 150 words, professional but conversational.\\n\\nCompany: {{ $json.company_name }}\\nDecision Maker Title: {{ $json.decision_maker }}\\nPain Points: {{ $json.pain_points }}\\nQualification Score: {{ $json.qualification_score }}/100\\n\\nOur Service: We provide AI-powered automation solutions that help businesses streamline operations and increase efficiency.\\n\\nMessage should:\\n- Reference their specific business\\n- Mention 1 pain point naturally\\n- Include a soft CTA (ask a question or suggest a quick call)\\n- Sign off with just [Your Name]\\n\\nReturn ONLY the message text, no subject line or extra formatting.\"\n    }]\n  }]\n}",
        "options": {}
      },
      "id": "gemini-personalize",
      "name": "Gemini - Personalize Message",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [
        1560,
        300
      ]
    },
    {
      "parameters": {
        "jsCode": "// Extract the personalized message\nconst messageResponse = $input.item.json.candidates[0].content.parts[0].text;\n\n// Get all the data from previous node\nconst leadData = $('Parse AI Response').item.json;\n\n// Add timestamp\nconst now = new Date();\nconst timestamp = now.toISOString();\n\n// Combine everything for final output\nreturn {\n  timestamp: timestamp,\n  company_name: leadData.company_name,\n  phone: leadData.phone || 'N/A',\n  email: leadData.email || 'N/A',\n  website: leadData.website || 'N/A',\n  address: leadData.address || 'N/A',\n  category: leadData.category || 'N/A',\n  rating: leadData.rating || 'N/A',\n  reviews_count: leadData.reviews_count || 0,\n  qualification_score: leadData.qualification_score,\n  decision_maker: leadData.decision_maker,\n  key_insights: leadData.key_insights,\n  pain_points: leadData.pain_points,\n  personalized_message: messageResponse.trim(),\n  status: leadData.qualification_score >= 70 ? 'Hot Lead' : leadData.qualification_score >= 50 ? 'Warm Lead' : 'Cold Lead'\n};"
      },
      "id": "prepare-output",
      "name": "Prepare Final Output",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        1780,
        300
      ]
    },
    {
      "parameters": {
        "operation": "appendOrUpdate",
        "documentId": {
          "__rl": true,
          "value": "REPLACE_WITH_RESOURCE",
          "mode": "list"
        },
        "sheetName": {
          "__rl": true,
          "value": "REPLACE_WITH_RESOURCE",
          "mode": "list"
        },
        "columns": {
          "mappingMode": "autoMapInputData",
          "value": {},
          "matchingColumns": [],
          "schema": [
            {
              "id": "timestamp",
              "displayName": "Timestamp",
              "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": "phone",
              "displayName": "Phone",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "email",
              "displayName": "Email",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "website",
              "displayName": "Website",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "address",
              "displayName": "Address",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "category",
              "displayName": "Category",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "rating",
              "displayName": "Rating",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "reviews_count",
              "displayName": "Reviews Count",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "number",
              "canBeUsedToMatch": true
            },
            {
              "id": "qualification_score",
              "displayName": "Qualification Score",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "number",
              "canBeUsedToMatch": true
            },
            {
              "id": "decision_maker",
              "displayName": "Decision Maker",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "key_insights",
              "displayName": "Key Insights",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "pain_points",
              "displayName": "Pain Points",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "personalized_message",
              "displayName": "Personalized Message",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            },
            {
              "id": "status",
              "displayName": "Status",
              "required": false,
              "defaultMatch": false,
              "display": true,
              "type": "string",
              "canBeUsedToMatch": true
            }
          ]
        },
        "options": {}
      },
      "id": "google-sheets",
      "name": "Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4.5,
      "position": [
        2000,
        300
      ]
    },
    {
      "id": "42eaa18e-f846-57aa-89af-0df25d409b64",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        0
      ],
      "parameters": {
        "content": "# AI Lead Generation & Enrichment (Outscraper + Gemini)\n\n## Purpose and structure\nThis folder contains the **AI Lead Generation & Enrichment (Outscraper + Gemini)** workflow. Its executable nodes use `code`, `googleSheets`, `httpRequest`, `scheduleTrigger`, `set`, `splitOut`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nSchedule Trigger\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/skadaai/awesome-n8n-templates/blob/4eabc190bf6fac4073e3e1dcaabf0f72897770eb/leadgen.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Outscraper API",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Outscraper API": {
      "main": [
        [
          {
            "node": "Split Into Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Into Items": {
      "main": [
        [
          {
            "node": "Extract Lead Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract Lead Data": {
      "main": [
        [
          {
            "node": "Gemini - Qualify Lead",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini - Qualify Lead": {
      "main": [
        [
          {
            "node": "Parse AI Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse AI Response": {
      "main": [
        [
          {
            "node": "Gemini - Personalize Message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Gemini - Personalize Message": {
      "main": [
        [
          {
            "node": "Prepare Final Output",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Prepare Final Output": {
      "main": [
        [
          {
            "node": "Google Sheets",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "active": false
}