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使用Explorium.ai和Claude

中级

这是一个Sales, AI领域的自动化工作流,包含 10 个节点。主要使用 If, Code, GoogleSheets, SplitInBatches, Agent 等节点,结合人工智能技术实现智能自动化。 使用Explorium.ai和Claude AI在Google表格中丰富公司企业数据

前置要求
  • Google Sheets API 凭证
  • Anthropic API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "meta": {
    "instanceId": "0a70652f43c1b29dd16c35b61a38fd31c8004f58bc7e723bf43262a797407c77"
  },
  "name": "My workflow 6",
  "tags": [],
  "nodes": [
    {
      "id": "326f7ab3-3c5d-4b6e-bb12-9815a9179740",
      "name": "Google Sheets Trigger",
      "type": "n8n-nodes-base.googleSheetsTrigger",
      "position": [
        580,
        165
      ],
      "parameters": {
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit?usp=drivesdk",
          "cachedResultName": "n8n test"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6181d60a-91b4-4068-80ab-e4c8fb6f7eac",
      "name": "Filter Valid Rows",
      "type": "n8n-nodes-base.if",
      "position": [
        800,
        165
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "8c7d5b8a-4569-4c8f-b5e8-6c5f5e5c5e5c",
              "operator": {
                "type": "string",
                "operation": "notEmpty"
              },
              "leftValue": "={{ $json.name }}",
              "rightValue": ""
            },
            {
              "id": "9d8e6c9b-5670-5d9f-c6f9-7d6g6f6d6f6d",
              "operator": {
                "type": "string",
                "operation": "notEmpty"
              },
              "leftValue": "={{ $json.website }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "36dd234e-d726-418b-b70e-7c39afea91b4",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1020,
        165
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "3870bad2-9551-4c1d-93bd-c42c44ce9584",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1272,
        40
      ],
      "parameters": {
        "text": "=You will be provided with company information including:\n\nName: {{ $json.name }}\nDomain: {{ $json.website }}\n\nYour task is to research and extract the following key business metrics for this company:\nRequired Data Points:\n- Name (keep the same as provided)\n- Website (keep the same as provided)\n- Annual revenue (as business_id first, then get the range)\n- Number of employees (range)\n- NAICS code\n\nUse the Explorium tools to:\n1. First use match-business to find the business ID\n2. Then use enrich-businesses-firmographics to get the company details\n\nReturn the data exactly in this format.",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6
    },
    {
      "id": "94f62314-ab95-4f2c-8f9c-c658a982815e",
      "name": "Anthropic Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "position": [
        1240,
        220
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "claude-sonnet-4-20250514",
          "cachedResultName": "Claude Sonnet 4"
        },
        "options": {}
      },
      "credentials": {
        "anthropicApi": {
          "id": "zb4GaoxVQ7gIbD2A",
          "name": "Anthropic account 3"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "c5416012-86dd-4b10-8526-ce4147833572",
      "name": "Code - Format Output",
      "type": "n8n-nodes-base.code",
      "position": [
        1680,
        40
      ],
      "parameters": {
        "jsCode": "// Simply pass through the AI output with proper formatting\nreturn {\n  name: $json.output.name || $json.name,\n  website: $json.output.website || $json.website,\n  business_id: $json.output.business_id || '',\n  naics: $json.output.naics || '',\n  number_of_employees_range: $json.output.number_of_employees_range || '',\n  yearly_revenue_range: $json.output.yearly_revenue_range || ''\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "12f2e1b6-48c9-42f6-a4af-9574b486d270",
      "name": "Update Company Row",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1900,
        165
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "website",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "website",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "business_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "business_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "naics",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "naics",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "number_of_employees_range",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "number_of_employees_range",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "yearly_revenue_range",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "yearly_revenue_range",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "name"
          ]
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1bAMUxQ2UCU_rd1khEkNZ0RKqmBzal7eKk90-AnVScQE/edit?usp=drivesdk",
          "cachedResultName": "n8n test"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "af35ecca-cf6b-4d3a-ab18-61870f7601c4",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -180
      ],
      "parameters": {
        "width": 660,
        "height": 900,
        "content": "# Enrich Company Data from Google Sheets with Explorium MCP\n\nThis workflow automatically enriches company data when new rows are added or when the name/website fields are updated in your Google Sheet.\n\n### Workflow Structure:\n\n**Google Sheets Trigger** → **Filter Valid Rows** → **Loop Over Items**\n                                                          ↓\n                                                      **AI Agent**\n                                                           ↓\n                                                   **Code - Format Output**\n                                                           ↓\n                                                   **Update Company Row**\n                                                           ↓\n                                                   (back to Loop Over Items)\n\n### How the Loop Works:\n1. Loop Over Items splits the batch (size 1)\n2. Sends one item to AI Agent\n3. AI Agent enriches the data\n4. Code formats the output\n5. Google Sheets updates the row\n6. Flow returns to Loop Over Items for next item\n7. When all items are processed, loop ends\n\n### Key Points:\n- Each row is processed individually\n- The loop continues until all rows are done\n- Failed enrichments won't stop other rows\n\n### Testing:\n1. Add multiple rows with company names and websites\n2. Trigger the workflow\n3. Watch each row get processed sequentially\n4. All rows should be updated with enriched data"
      },
      "typeVersion": 1
    },
    {
      "id": "6194c65f-0321-4ddc-8264-168bd04ef05b",
      "name": "Explorium MCP",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
        1380,
        220
      ],
      "parameters": {
        "sseEndpoint": "https://mcp.explorium.ai/sse",
        "authentication": "bearerAuth"
      },
      "credentials": {
        "httpBearerAuth": {
          "id": "7uIoZJ2gQQuHHIDb",
          "name": "Bearer Auth MCP"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c4f2e8b5-ac31-4f29-8f7f-cf7e641efbbb",
      "name": "Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        1520,
        220
      ],
      "parameters": {
        "jsonSchemaExample": "{\n    \"name\": \"Microsoft Corporation\",\n    \"website\": \"https://www.microsoft.com\",\n    \"business_id\": \"a34bacf839b923770b2c360eefa26748\",\n    \"naics\": \"511210\",\n    \"number_of_employees_range\": \"10001+\",\n    \"yearly_revenue_range\": \"100B-1T\"\n}"
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {
    "Google Sheets Trigger": [
      {
        "json": {
          "name": "Amazon.com, Inc.",
          "naics": 454110,
          "website": "https://www.amazon.com",
          "row_number": 9,
          "business_id": "8f19793b2671094e63a15ab883d50137",
          "change_type": "updated",
          "yearly_revenue_range": "100B-1T",
          "number_of_employees_range": "10001+"
        }
      },
      {
        "json": {
          "name": "Toyota North America",
          "naics": 336111,
          "website": "https://careers.toyota.com/us/en",
          "row_number": 10,
          "business_id": "9185f3ec501c674c7c788464a36e7fb3",
          "change_type": "updated",
          "yearly_revenue_range": "10B-100B",
          "number_of_employees_range": "10001+"
        }
      },
      {
        "json": {
          "name": "The Coca-Cola Company",
          "naics": 312112,
          "website": "https://www.coca-colacompany.com",
          "row_number": 11,
          "business_id": "26751be1181460baf78db8d5eb7aad39",
          "change_type": "updated",
          "yearly_revenue_range": "10B-100B",
          "number_of_employees_range": "10001+"
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "",
  "connections": {
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            "type": "main",
            "index": 0
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    },
    "6194c65f-0321-4ddc-8264-168bd04ef05b": {
      "ai_tool": [
        [
          {
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            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "c4f2e8b5-ac31-4f29-8f7f-cf7e641efbbb": {
      "ai_outputParser": [
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            "type": "ai_outputParser",
            "index": 0
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    "6181d60a-91b4-4068-80ab-e4c8fb6f7eac": {
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    "94f62314-ab95-4f2c-8f9c-c658a982815e": {
      "ai_languageModel": [
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            "type": "ai_languageModel",
            "index": 0
          }
        ]
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    "c5416012-86dd-4b10-8526-ce4147833572": {
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    "326f7ab3-3c5d-4b6e-bb12-9815a9179740": {
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  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 销售, 人工智能

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量10
分类2
节点类型10
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
explorium

explorium

@explorium

Explorium empowers businesses to build high-performance GTM agents with specialized data infrastructure. Our seamless API integrations and high-quality data drive faster agent development and better results. With years of experience and robust data sets, we deliver context-aware solutions, helping AI agents achieve human-level support. Explorium is the essential data partner for teams building agent-driven technologies.

外部链接
在 n8n.io 查看

分享此工作流

分类

分类: 34