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使用Gemini AI和Bright Data提取和总结必应Copilot搜索结果

高级

这是一个AI领域的自动化工作流，包含 19 个节点。主要使用 If, Set, Wait, HttpRequest, ManualTrigger 等节点，结合人工智能技术实现智能自动化。 使用Gemini AI和Bright Data提取和总结必应Copilot搜索结果

前置要求
  • •可能需要目标 API 的认证凭证
  • •Google Gemini API Key

使用的节点 (19)

If
Set
Wait
StickyNote
HttpRequest
ManualTrigger
ChainLlm
ChainSummarization
LmChatGoogleGemini
OutputParserStructured
DocumentDefaultDataLoader
TextSplitterRecursiveCharacterTextSplitter

分类

人工智能
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
{
  "id": "AnbedV2Ntx97sfed",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "使用 Gemini AI 和 Bright Data 提取和总结必应 Copilot 搜索结果",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "5f358132-63bd-4c66-80da-4fb9911f607f",
      "name": "当点击\"测试工作流\"时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1140,
        400
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "43a157f6-2fb8-4c90-bf5d-92fc64c9df10",
      "name": "Google Gemini聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "notes": "Gemini Experimental Model",
      "position": [
        760,
        580
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-thinking-exp-01-21"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "notesInFlow": true,
      "typeVersion": 1
    },
    {
      "id": "f2d34617-ea34-4163-b9d5-a35fed807dbb",
      "name": "默认数据加载器",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        940,
        580
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "707fdb4a-f534-4984-b97d-1839db1afc03",
      "name": "递归字符文本分割器",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        1040,
        800
      ],
      "parameters": {
        "options": {},
        "chunkOverlap": 100
      },
      "typeVersion": 1
    },
    {
      "id": "0440b1dd-ca72-467c-a27a-76609ae08fcf",
      "name": "如果",
      "type": "n8n-nodes-base.if",
      "position": [
        -220,
        400
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "6a7e5360-4cb5-4806-892e-5c85037fa71c",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('Check Snapshot Status').item.json.status }}",
              "rightValue": "ready"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "a23f3c86-200a-4d3c-a762-51cce158c4dd",
      "name": "设置快照ID",
      "type": "n8n-nodes-base.set",
      "position": [
        -700,
        400
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "2c3369c6-9206-45d7-9349-f577baeaf189",
              "name": "snapshot_id",
              "type": "string",
              "value": "={{ $json.snapshot_id }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "cee238ff-f725-4a24-8117-540be1c66a56",
      "name": "下载快照",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        140,
        200
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
        "options": {
          "timeout": 10000
        },
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "format",
              "value": "json"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "6bb33d11-7176-4dc7-89fe-1ee794793d3e",
      "name": "Google Gemini Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        380,
        380
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b2309938-eaaf-4d63-b8c8-53666cd57dac",
      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        540,
        380
      ],
      "parameters": {
        "jsonSchemaExample": "[{\n  \"city\": \"string\",\n  \"hotels\": [\n    {\n      \"name\": \"string\",\n      \"address\": \"string\",\n      \"description\": \"string\",\n      \"website\": \"string\",\n      \"area\": \"string (optional)\"\n    }\n  ]\n}\n]\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "747b1e50-1cae-4efb-86d3-9221438701cd",
      "name": "检查错误",
      "type": "n8n-nodes-base.if",
      "position": [
        -20,
        20
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "b267071c-7102-407b-a98d-f613bcb1a106",
              "operator": {
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.errors.toString() }}",
              "rightValue": "0"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "0bf63795-1f1d-4d6b-90c1-1effae83fd40",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1140,
        80
      ],
      "parameters": {
        "width": 400,
        "height": 220,
        "content": "## 说明"
      },
      "typeVersion": 1
    },
    {
      "id": "3872fb7a-382a-446d-8cb0-6ac5a282a801",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -620,
        80
      ],
      "parameters": {
        "width": 420,
        "height": 220,
        "content": "## LLM 使用情况"
      },
      "typeVersion": 1
    },
    {
      "id": "a1453c72-fef3-4cec-967a-858b28ba31d8",
      "name": "检查快照状态",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -460,
        400
      ],
      "parameters": {
        "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
        "options": {},
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "5750853b-a07d-455e-b630-977dd733613e",
      "name": "结构化数据提取器",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        360,
        200
      ],
      "parameters": {
        "text": "=Extract the content as a structured JSON.\n\nHere's the content - {{ $json.answer_text }}",
        "messages": {
          "messageValues": [
            {
              "message": "You are an expert data formatter"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6
    },
    {
      "id": "a86f935f-fe57-40ea-9197-5f20e3002899",
      "name": "简洁摘要生成器",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        760,
        200
      ],
      "parameters": {
        "options": {
          "summarizationMethodAndPrompts": {
            "values": {
              "prompt": "=Write a concise summary of the following:\n\n\n{{ $('Download Snapshot').item.json.answer_text }}\n\n",
              "combineMapPrompt": "=Write a concise summary of the following:\n\n\n\n\n\nCONCISE SUMMARY: {{ $('Download Snapshot').item.json.answer_text }}"
            }
          }
        },
        "operationMode": "documentLoader"
      },
      "typeVersion": 2
    },
    {
      "id": "848ce4b1-0aed-4af2-bf55-bcdb30bbc88a",
      "name": "等待30秒",
      "type": "n8n-nodes-base.wait",
      "position": [
        -280,
        660
      ],
      "webhookId": "f2aafd71-61f2-4aa4-8290-fa3bbe3d46b9",
      "parameters": {
        "amount": 30
      },
      "typeVersion": 1.1
    },
    {
      "id": "5467a870-0734-457b-909e-be425a432ebf",
      "name": "结构化数据 Webhook 通知器",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        760,
        0
      ],
      "parameters": {
        "url": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "bf8a4868-ead7-411e-97ba-9faea308d836",
      "name": "摘要 Webhook 通知器",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1140,
        200
      ],
      "parameters": {
        "url": "https://webhook.site/bc804ce5-4a45-4177-a68a-99c80e5c86e6",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "60a59b93-9a7c-4d22-ab66-2249fb9ed27e",
      "name": "执行必应 Copilot 请求",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -920,
        400
      ],
      "parameters": {
        "url": "https://api.brightdata.com/datasets/v3/trigger",
        "method": "POST",
        "options": {},
        "jsonBody": "[\n  {\n    \"url\": \"https://copilot.microsoft.com/chats\",\n    \"prompt\": \"Top hotels in New York\"\n  }\n]",
        "sendBody": true,
        "sendQuery": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "dataset_id",
              "value": "gd_m7di5jy6s9geokz8w"
            },
            {
              "name": "include_errors",
              "value": "true"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "4462ae6e-4ecd-4f64-aad8-4aa9e65982b6",
  "connections": {
    "If": {
      "main": [
        [
          {
            "node": "Check on the errors",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait for 30 seconds",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set Snapshot Id": {
      "main": [
        [
          {
            "node": "Check Snapshot Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Download Snapshot": {
      "main": [
        [
          {
            "node": "Structured Data Extractor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check on the errors": {
      "main": [
        [
          {
            "node": "Download Snapshot",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Concise Summary Creator",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Wait for 30 seconds": {
      "main": [
        [
          {
            "node": "Check Snapshot Status",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check Snapshot Status": {
      "main": [
        [
          {
            "node": "If",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Concise Summary Creator": {
      "main": [
        [
          {
            "node": "Summary Webhook Notifier",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Concise Summary Creator",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Structured Data Extractor",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Structured Data Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Data Extractor": {
      "main": [
        [
          {
            "node": "Concise Summary Creator",
            "type": "main",
            "index": 0
          },
          {
            "node": "Structured Data Webhook Notifier",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Perform a Bing Copilot Request": {
      "main": [
        [
          {
            "node": "Set Snapshot Id",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Perform a Bing Copilot Request",
            "type": "main",
            "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？

高级 - 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。

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工作流信息
难度等级
高级
节点数量19
分类1
节点类型12
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Ranjan Dailata

Ranjan Dailata

@ranjancse
外部链接
在 n8n.io 查看 →

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