Monitor ProductHunt

工作流概述

这是一个包含5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

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{
  "id": "fvYgcG9s1pqP5cQ6",
  "meta": {
    "instanceId": "660cf2c29eb19fa42319afac3bd2a4a74c6354b7c006403f6cba388968b63f5d",
    "templateCredsSetupCompleted": true
  },
  "name": "Monitor ProductHunt",
  "tags": [
    {
      "id": "a8B9vqj0vNLXcKVQ",
      "name": "template",
      "createdAt": "2025-04-04T15:38:37.785Z",
      "updatedAt": "2025-04-04T15:38:37.785Z"
    }
  ],
  "nodes": [
    {
      "id": "3cf0b7e0-ec9f-4173-bc85-1b4daef5aa22",
      "name": "Define relevant products",
      "type": "n8n-nodes-base.set",
      "position": [
        220,
        -100
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "a83156e0-1782-4d0a-a15c-1ff889ff915d",
              "name": "Relevant Products",
              "type": "string",
              "value": "AI Agents"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "a316f080-0fd8-4723-a65c-bce2c2a13cf8",
      "name": "Found products?",
      "type": "n8n-nodes-base.if",
      "position": [
        660,
        -100
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "552c61c2-1ec0-40b5-b473-2423b646418b",
              "operator": {
                "type": "string",
                "operation": "notContains"
              },
              "leftValue": "={{ $json.data.modelResponse }}",
              "rightValue": "[NA]"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "ffb0289e-9341-4641-bfcd-41b25f0b1379",
      "name": "Look up products",
      "type": "n8n-nodes-base.airtop",
      "position": [
        440,
        -100
      ],
      "parameters": {
        "url": "https://www.producthunt.com/",
        "prompt": "=Extract up to 5 product launches that are {{ $json[\"Relevant Products\"] }} for each product extract the title and URL (if exists).

Return format:
Today's [{{ $json[\"Relevant Products\"] }}] on Producthunt
1. Title 1 (URL 1)
2. Title 2 (URL 2)
and so on

If you cannot find any relevant products, return [NA]",
        "resource": "extraction",
        "operation": "query",
        "sessionMode": "new",
        "additionalFields": {}
      },
      "credentials": {
        "airtopApi": {
          "id": "byhouJF8RLH5DkmY",
          "name": "[PROD] Airtop"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "4d1f0668-d5d5-4440-8608-3cfe3d61d0c0",
      "name": "Send slack message",
      "type": "n8n-nodes-base.slack",
      "position": [
        880,
        -100
      ],
      "webhookId": "9887477b-9680-4701-a2a1-583d47f1fb5d",
      "parameters": {
        "text": "={{ $json.data.modelResponse }}",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "list",
          "value": "C087FK3J0MC",
          "cachedResultName": "make-debug"
        },
        "otherOptions": {}
      },
      "credentials": {
        "slackApi": {
          "id": "NgjAmOgS9xRg1RlU",
          "name": "Slack account"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "921d283e-6d67-4aaa-a344-687bb23b8710",
      "name": "Trigger daily",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        0,
        -100
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "triggerAtHour": 6
            }
          ]
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "e51e2bd0-43f0-4601-a0ad-f553f419a827",
  "connections": {
    "Trigger daily": {
      "main": [
        [
          {
            "node": "Define relevant products",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Found products?": {
      "main": [
        [
          {
            "node": "Send slack message",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Look up products": {
      "main": [
        [
          {
            "node": "Found products?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Define relevant products": {
      "main": [
        [
          {
            "node": "Look up products",
            "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

  • Set
  • If
  • Airtop
  • Slack
  • Scheduletrigger

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