WhatsApp starter workflow

工作流概述

这是一个包含8个节点的中等工作流,主要用于自动化处理各种任务。

工作流源代码

下载
{
  "id": "yxv7OYbDEnqsqfa9",
  "meta": {
    "instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a"
  },
  "name": "WhatsApp starter workflow",
  "tags": [],
  "nodes": [
    {
      "id": "9b385dfe-fa67-4c2c-83df-e3e02c0ff796",
      "name": "Verify",
      "type": "n8n-nodes-base.webhook",
      "position": [
        700,
        180
      ],
      "webhookId": "793f285b-9da7-4a5e-97ce-f0976c113db5",
      "parameters": {
        "path": "1fea1f5f-81c0-48ad-ae13-41e0f8e474ed",
        "options": {},
        "responseMode": "responseNode"
      },
      "typeVersion": 1.1
    },
    {
      "id": "676efc61-c875-4675-a843-20f98ef1a642",
      "name": "Respond to Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        920,
        180
      ],
      "parameters": {
        "options": {},
        "respondWith": "text",
        "responseBody": "={{ $json.query['hub.challenge'] }}"
      },
      "typeVersion": 1
    },
    {
      "id": "8dd6d094-415c-40d7-ad2b-4ed9f2d23232",
      "name": "Echo the message back",
      "type": "n8n-nodes-base.whatsApp",
      "position": [
        1140,
        540
      ],
      "parameters": {
        "textBody": "=Echo back: {{ $json.body.entry[0].changes[0].value.messages[0].text.body }}",
        "operation": "send",
        "phoneNumberId": "244242975437240",
        "additionalFields": {},
        "recipientPhoneNumber": "={{ $json.body.entry[0].changes[0].value.messages[0].from }}"
      },
      "credentials": {
        "whatsAppApi": {
          "id": "dy22WXWn0Xz4WRby",
          "name": "WhatsApp account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "cd9e2cfd-9589-4390-95fd-f0bc3960d60c",
      "name": "Is message?",
      "type": "n8n-nodes-base.if",
      "position": [
        920,
        540
      ],
      "parameters": {
        "options": {
          "looseTypeValidation": true
        },
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "8a765e57-8e39-4547-a99a-0458df2b75f4",
              "operator": {
                "type": "object",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.body.entry[0].changes[0].value.messages[0] }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "20939289-3c4f-467a-b0e9-bf7e6d42cc18",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        660,
        46
      ],
      "parameters": {
        "width": 618,
        "height": 272,
        "content": "## Verify Webhook
* Go to your [Meta for Developers App page](https://developers.facebook.com/apps/), navigate to the App settings
* Add a **production webhook URL** as a new Callback URL
* *Verify* webhook receives a GET Request and sends back a verification code
"
      },
      "typeVersion": 1
    },
    {
      "id": "36ffeb5b-165a-4723-8250-a4feb9123140",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        660,
        360
      ],
      "parameters": {
        "width": 619,
        "height": 343,
        "content": "## Main flow
* *Respond* webhook receives various POST Requests from Meta regarding WhatsApp messages (user messages + status notifications)
* Check if the incoming JSON contains user message
* Echo back the text message to the user. This is a custom message, not a WhatsApp Business template message"
      },
      "typeVersion": 1
    },
    {
      "id": "aa234bca-c8db-43c6-9aeb-02aef6a084e5",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        240,
        260
      ],
      "parameters": {
        "color": 3,
        "width": 405,
        "height": 177,
        "content": "## Important!
### Configure the webhook nodes this way:
* Make sure that both *Verify* and *Respond* have the same URL
* *Verify* should have GET HTTP Method
* *Respond* should have POST HTTP Method"
      },
      "typeVersion": 1
    },
    {
      "id": "2370b81a-0721-42fd-8893-e3ee02e20278",
      "name": "Respond",
      "type": "n8n-nodes-base.webhook",
      "position": [
        700,
        540
      ],
      "webhookId": "c4cbc1c4-e1f5-4ea5-bd9a-c5f697493985",
      "parameters": {
        "path": "1fea1f5f-81c0-48ad-ae13-41e0f8e474ed",
        "options": {},
        "httpMethod": "POST"
      },
      "typeVersion": 1.1
    }
  ],
  "active": true,
  "pinData": {},
  "settings": {
    "callerPolicy": "workflowsFromSameOwner",
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "saveDataSuccessExecution": "all"
  },
  "versionId": "0d254e91-2ad0-4f38-97d5-fec5057043ea",
  "connections": {
    "Verify": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Respond": {
      "main": [
        [
          {
            "node": "Is message?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Is message?": {
      "main": [
        [
          {
            "node": "Echo the message back",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

功能特点

  • 自动检测新邮件
  • AI智能内容分析
  • 自定义分类规则
  • 批量处理能力
  • 详细的处理日志

技术分析

节点类型及作用

  • Webhook
  • Respondtowebhook
  • Whatsapp
  • If
  • Stickynote

复杂度评估

配置难度:
★★★☆☆
维护难度:
★★☆☆☆
扩展性:
★★★★☆

实施指南

前置条件

  • 有效的Gmail账户
  • n8n平台访问权限
  • Google API凭证
  • AI分类服务订阅

配置步骤

  1. 在n8n中导入工作流JSON文件
  2. 配置Gmail节点的认证信息
  3. 设置AI分类器的API密钥
  4. 自定义分类规则和标签映射
  5. 测试工作流执行
  6. 配置定时触发器(可选)

关键参数

参数名称 默认值 说明
maxEmails 50 单次处理的最大邮件数量
confidenceThreshold 0.8 分类置信度阈值
autoLabel true 是否自动添加标签

最佳实践

优化建议

  • 定期更新AI分类模型以提高准确性
  • 根据邮件量调整处理批次大小
  • 设置合理的分类置信度阈值
  • 定期清理过期的分类规则

安全注意事项

  • 妥善保管API密钥和认证信息
  • 限制工作流的访问权限
  • 定期审查处理日志
  • 启用双因素认证保护Gmail账户

性能优化

  • 使用增量处理减少重复工作
  • 缓存频繁访问的数据
  • 并行处理多个邮件分类任务
  • 监控系统资源使用情况

故障排除

常见问题

邮件未被正确分类

检查AI分类器的置信度阈值设置,适当降低阈值或更新训练数据。

Gmail认证失败

确认Google API凭证有效且具有正确的权限范围,重新进行OAuth授权。

调试技巧

  • 启用详细日志记录查看每个步骤的执行情况
  • 使用测试邮件验证分类逻辑
  • 检查网络连接和API服务状态
  • 逐步执行工作流定位问题节点

错误处理

工作流包含以下错误处理机制:

  • 网络超时自动重试(最多3次)
  • API错误记录和告警
  • 处理失败邮件的隔离机制
  • 异常情况下的回滚操作