Scrape Twitter for mentions of company

工作流概述

这是一个包含7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": 95,
  "name": "Scrape Twitter for mentions of company",
  "nodes": [
    {
      "name": "Filter Tweet Data",
      "type": "n8n-nodes-base.set",
      "position": [
        1260,
        300
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "Tweet",
              "value": "={{$node[\"Get last 50 mentions\"].json[\"text\"]}}"
            },
            {
              "name": "Tweet URL",
              "value": "=https://twitter.com/{{$node[\"Get last 50 mentions\"].json[\"user\"][\"screen_name\"]}}/status/{{$node[\"Get last 50 mentions\"].json[\"id_str\"]}}"
            }
          ]
        },
        "options": {},
        "keepOnlySet": true
      },
      "typeVersion": 1
    },
    {
      "name": "Run Every 10 Minutes",
      "type": "n8n-nodes-base.cron",
      "position": [
        260,
        320
      ],
      "parameters": {
        "triggerTimes": {
          "item": [
            {
              "mode": "everyX",
              "unit": "minutes",
              "value": 10
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Now - 10 minutes",
      "type": "n8n-nodes-base.dateTime",
      "position": [
        620,
        320
      ],
      "parameters": {
        "value": "={{Date()}}",
        "action": "calculate",
        "options": {},
        "duration": "={{$node[\"Run Every 10 Minutes\"].parameter[\"triggerTimes\"][\"item\"][0][\"value\"]}}",
        "timeUnit": "={{$node[\"Run Every 10 Minutes\"].parameter[\"triggerTimes\"][\"item\"][0][\"unit\"]}}",
        "operation": "subtract"
      },
      "typeVersion": 1
    },
    {
      "name": "Get last 50 mentions",
      "type": "n8n-nodes-base.twitter",
      "position": [
        820,
        320
      ],
      "parameters": {
        "operation": "search",
        "searchText": "={{$node[\"Setup\"].parameter[\"values\"][\"string\"][1][\"value\"]}}",
        "additionalFields": {}
      },
      "credentials": {
        "twitterOAuth1Api": {
          "id": "27",
          "name": "86-88 Twitter"
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Created since last run?",
      "type": "n8n-nodes-base.if",
      "position": [
        1020,
        320
      ],
      "parameters": {
        "conditions": {
          "dateTime": [
            {
              "value1": "={{$json[\"created_at\"]}}",
              "value2": "={{$items(\"Now - 10 minutes\", 0, 0)[0].json.data}}"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "name": "Setup",
      "type": "n8n-nodes-base.set",
      "position": [
        440,
        320
      ],
      "parameters": {
        "values": {
          "string": [
            {
              "name": "slackChannel",
              "value": "#recent-tweets"
            },
            {
              "name": "twitterSearchValue",
              "value": "@n8n_io"
            }
          ]
        },
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "name": "Post to Slack",
      "type": "n8n-nodes-base.slack",
      "position": [
        1440,
        300
      ],
      "parameters": {
        "text": "=New Mention!: {{$node[\"Filter Tweet Data\"].json[\"Tweet\"]}}.
See it here: {{$node[\"Filter Tweet Data\"].json[\"Tweet URL\"]}}",
        "channel": "={{$node[\"Setup\"].parameter[\"values\"][\"string\"][0][\"value\"]}}",
        "attachments": [],
        "otherOptions": {}
      },
      "credentials": {
        "slackApi": {
          "id": "53",
          "name": "Slack Access Token"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": true,
  "settings": {},
  "connections": {
    "Setup": {
      "main": [
        [
          {
            "node": "Now - 10 minutes",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Now - 10 minutes": {
      "main": [
        [
          {
            "node": "Get last 50 mentions",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Filter Tweet Data": {
      "main": [
        [
          {
            "node": "Post to Slack",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get last 50 mentions": {
      "main": [
        [
          {
            "node": "Created since last run?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Run Every 10 Minutes": {
      "main": [
        [
          {
            "node": "Setup",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Created since last run?": {
      "main": [
        [
          {
            "node": "Filter Tweet Data",
            "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
  • Cron
  • Datetime
  • Twitter
  • If

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