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使用Gemini AI基于Google趋势自动生成并发布推文串

高级

这是一个AI、Marketing领域的自动化工作流，包含 21 个节点。主要使用 Code、Wait、Twitter、Aggregate、GoogleBigQuery 等节点，结合人工智能技术实现智能自动化。 使用Gemini AI基于Google趋势自动生成并发布推文串

前置要求
  • •Twitter API 凭证
  • •OpenAI API Key
  • •Google Gemini API Key

使用的节点 (21 个)

Code
Wait
Twitter
Aggregate
StickyNote
GoogleBigQuery
SplitInBatches
Agent
ScheduleTrigger
LmChatOpenAi
LmChatGoogleGemini
MemoryBufferWindow
OutputParserAutofixing
OutputParserStructured

分类

AI
Marketing
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
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": "32d80f55a35a7b57f8e47a2ac19558d9f5bcec983a5519d9c29ba713ff4f12c7",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "e10711db-583a-4a73-adea-8aeef68a8456",
      "name": "X",
      "type": "n8n-nodes-base.twitter",
      "position": [
        2240,
        520
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "2efd476e-bea4-4828-bc8c-c1491a408646",
      "name": "简单记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        420,
        840
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "7933cf3b-7319-4d55-919b-a9852cc2855b",
      "name": "Google Gemini 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        200,
        860
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "0f981a60-1f9b-4e36-b113-950a6177e1ba",
      "name": "自动修复输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        600,
        640
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "2c0e008a-e481-47d1-b07f-ded9cffa61f1",
      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        800,
        880
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "fa0194e7-77d7-48be-aef5-2f8325acf278",
      "name": "聚合",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        -280,
        760
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "1ed80dbc-d7ec-45ec-97ec-cd281ac409dc",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        600,
        860
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "f7c657aa-7c9e-4a74-aa39-135bcea2348b",
      "name": "趋势选择器",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        400,
        380
      ],
      "parameters": {},
      "typeVersion": 1.9,
      "alwaysOutputData": false
    },
    {
      "id": "21ee7af9-5a90-4ef1-99f5-41d175847143",
      "name": "推文生成器",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1240,
        380
      ],
      "parameters": {},
      "typeVersion": 1.9
    },
    {
      "id": "4a9a81fb-1233-4c62-87f0-acea3ee1437a",
      "name": "Google Gemini 聊天模型1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1140,
        740
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "2a5789a8-b5a8-46b1-8665-ad22473b803d",
      "name": "代码",
      "type": "n8n-nodes-base.code",
      "position": [
        1620,
        500
      ],
      "parameters": {},
      "typeVersion": 2
    },
    {
      "id": "98356e89-3436-47c9-b604-e9775dc53c29",
      "name": "遍历项目",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        1980,
        500
      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "6a6f6a88-0f73-458d-bce2-881f3f5902f6",
      "name": "等待",
      "type": "n8n-nodes-base.wait",
      "position": [
        2560,
        520
      ],
      "webhookId": "9e86e524-612d-4734-a087-4090e0ceb19d",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "288e8945-82b7-4f7e-9bb8-cda7235bac62",
      "name": "Google Trends 澳大利亚",
      "type": "n8n-nodes-base.googleBigQuery",
      "position": [
        -300,
        460
      ],
      "parameters": {},
      "typeVersion": 2.1
    },
    {
      "id": "2045aa98-f272-451a-95bb-79a169e5b5fc",
      "name": "计划触发器",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        -1060,
        780
      ],
      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "2e9e885e-91ae-4d44-8d1c-1f30560451ec",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1500,
        600
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "c72f2bd8-2307-4e3d-bfd2-655c07816c9f",
      "name": "便签11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1500,
        60
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "6ccbc315-5c53-4fea-b2d7-30fc99fd606e",
      "name": "便签12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -520,
        80
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "6a089814-9049-45a6-a9d8-e51f0fe0b77c",
      "name": "便签13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        140,
        80
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "d486f77b-989e-4aca-9655-92342333e46f",
      "name": "便签14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1000,
        80
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    },
    {
      "id": "e8a61916-59fe-4aaa-b39d-99fa682e3064",
      "name": "便签15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1860,
        80
      ],
      "parameters": {
        "content": ""
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "X": {
      "main": [
        [
          {
            "node": "Wait",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Wait": {
      "main": [
        [
          {
            "node": "Loop Over Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate": {
      "main": [
        [
          {
            "node": "Trend Selector",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "Trend Selector",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Trend Selector": {
      "main": [
        [
          {
            "node": "Tweet Generator",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Over Items": {
      "main": [
        [],
        [
          {
            "node": "X",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Tweet Generator": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Google Trends AUS",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Trends AUS": {
      "main": [
        [
          {
            "node": "Aggregate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Trend Selector",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Auto-fixing Output Parser",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Auto-fixing Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Trend Selector",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Tweet Generator",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}
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？

这是一个高级难度的工作流，适用于AI、Marketing等场景。适合高级用户，包含 16+ 个节点的复杂工作流

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。

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工作流信息
难度等级
高级
节点数量21
分类2
节点类型14
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Amjid Ali

Amjid Ali

@amjid

I'm Amjid Ali, a CIO and automation expert with 25+ years in IT and digital transformation. I specialize in building AI-powered, low-code workflows using n8n to automate ERP, finance, reporting, and customer support processes. As the founder of SyncBricks, author of "Mastering n8n," and creator of online courses, I share practical automation solutions to help businesses scale efficiently and innovate with confidence.

外部链接
在 n8n.io 上查看 →

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