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使用Bright Data进行品牌内容提取、摘要与情感分析

高级

这是一个AI, Marketing领域的自动化工作流,包含 23 个节点。主要使用 Set, Function, HttpRequest, ManualTrigger, ReadWriteFile 等节点,结合人工智能技术实现智能自动化。 使用Bright Data和Google Gemini提取和分析品牌内容

前置要求
  • 可能需要目标 API 的认证凭证
  • Google Gemini API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
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": "wTI77cpLkbxsRQat",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "使用 Bright Data 进行品牌内容提取、摘要与情感分析",
  "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": "646ef542-c601-4103-87e6-6fa9616d8c52",
      "name": "点击“测试工作流”时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        120,
        -560
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "00b4ce90-c4f2-41c4-8943-7db3d0c3f81a",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        100,
        -320
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## 说明"
      },
      "typeVersion": 1
    },
    {
      "id": "5cc35b9b-7483-404e-96a3-1688f7b9078b",
      "name": "便签 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        540,
        -320
      ],
      "parameters": {
        "width": 480,
        "height": 300,
        "content": "## LLM 使用情况"
      },
      "typeVersion": 1
    },
    {
      "id": "e15f32de-58d9-4ea6-9d5c-f63975d1090d",
      "name": "Markdown 到文本数据提取器",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        1240,
        -440
      ],
      "parameters": {
        "text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
        "messages": {
          "messageValues": [
            {
              "message": "You are a markdown expert"
            }
          ]
        },
        "promptType": "define"
      },
      "typeVersion": 1.6
    },
    {
      "id": "1462cd3b-b1d5-4ddf-9f1e-2b8f20faa19c",
      "name": "设置 URL 和 Bright Data 区域",
      "type": "n8n-nodes-base.set",
      "position": [
        340,
        -560
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
              "name": "url",
              "type": "string",
              "value": "https://www.amazon.com/TP-Link-Dual-Band-Archer-BE230-HomeShield/dp/B0DC99N2T8"
            },
            {
              "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "9783e878-e864-4632-9b89-d78567204053",
      "name": "带结构化响应的 AI 情感分析器",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1740,
        100
      ],
      "parameters": {
        "text": "=Perform the sentiment analysis on the below content and output with the structured information.\n\nHere's the content:\n\n{{ $('Perform Bright Data Web Request').item.json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert sentiment analyzer."
        },
        "schemaType": "manual",
        "inputSchema": "{\n  \"$schema\": \"http://json-schema.org/schema#\",\n  \"title\": \"SentimentAnalysisResponseArray\",\n  \"type\": \"array\",\n  \"items\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"sentiment\": {\n        \"type\": \"string\",\n        \"enum\": [\"Positive\", \"Neutral\", \"Negative\"],\n        \"description\": \"The overall sentiment of the content.\"\n      },\n      \"confidence_score\": {\n        \"type\": \"number\",\n        \"minimum\": 0,\n        \"maximum\": 1,\n        \"description\": \"Confidence score of the sentiment classification.\"\n      },\n      \"sentence\": {\n        \"type\": \"string\",\n        \"description\": \"A natural language statement explaining the sentiment.\"\n      }\n    },\n    \"required\": [\"sentiment\", \"confidence_score\", \"sentence\"],\n    \"additionalProperties\": false\n  }\n}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "41352a53-7821-4247-905e-7995e1e6e382",
      "name": "为 Markdown 到文本数据提取启动 Webhook 通知",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1720,
        -460
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9717b5df-f148-4c8c-95d4-cb7c54837228",
      "name": "为 AI 情感分析器启动 Webhook 通知",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2120,
        100
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "88733b5f-cbb0-42a6-898c-7a1ccc94bef7",
      "name": "用于摘要的 Google Gemini 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1260,
        -780
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "560e3d33-61d8-4db6-b1df-89f4e915f3f1",
      "name": "用于数据提取的 Google Gemini 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1320,
        -220
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1b07608f-7174-46e8-af27-3abf100d9e3a",
      "name": "用于情感分析器的 Google Gemini 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1820,
        320
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "YeO7dHZnuGBVQKVZ",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "b6b6df94-d3fc-45ee-a339-5a368ea000eb",
      "name": "为摘要启动 Webhook 通知",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1660,
        -820
      ],
      "parameters": {
        "url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.response.text }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "f3e60ecd-5d07-4df0-a413-327b24db23ab",
      "name": "执行Bright Data网络请求",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        560,
        -560
      ],
      "parameters": {
        "url": "https://api.brightdata.com/request",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "zone",
              "value": "={{ $json.zone }}"
            },
            {
              "name": "url",
              "value": "={{ $json.url }}?product=unlocker&method=api"
            },
            {
              "name": "format",
              "value": "raw"
            },
            {
              "name": "data_format",
              "value": "markdown"
            }
          ]
        },
        "genericAuthType": "httpHeaderAuth",
        "headerParameters": {
          "parameters": [
            {}
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "9030085f-5b05-41d9-94ee-668ee29df815",
      "name": "摘要内容",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        1240,
        -980
      ],
      "parameters": {
        "options": {
          "summarizationMethodAndPrompts": {
            "values": {
              "prompt": "Write a concise summary of the following:\n\n\n\"{text}\"\n\n"
            }
          }
        },
        "chunkingMode": "advanced"
      },
      "typeVersion": 2
    },
    {
      "id": "fe93c4a6-de3b-481d-ba6c-5f315f5279c4",
      "name": "为文本数据创建二进制数据",
      "type": "n8n-nodes-base.function",
      "position": [
        1720,
        -220
      ],
      "parameters": {
        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
      "id": "0811c300-1302-49b5-a334-ac8f960a5b8c",
      "name": "为情感分析创建二进制数据",
      "type": "n8n-nodes-base.function",
      "position": [
        2120,
        320
      ],
      "parameters": {
        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
      "id": "01d798b7-7c62-4240-9d5e-f2e67ca047ae",
      "name": "将 AI 情感分析文件写入磁盘",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2520,
        320
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Sentiment-Analysis.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "f9faf283-ba8d-48e1-860e-2bb660cb9c1e",
      "name": "将文本文件写入磁盘",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        2100,
        -220
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Textual.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "2c47c271-4456-4fc4-9a54-20784365a4af",
      "name": "为摘要创建二进制数据",
      "type": "n8n-nodes-base.function",
      "position": [
        1660,
        -1060
      ],
      "parameters": {
        "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
      },
      "typeVersion": 1
    },
    {
      "id": "c5f33f8d-93eb-47ac-a42f-717b39f4d7c2",
      "name": "将摘要文件写入磁盘",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        1880,
        -1060
      ],
      "parameters": {
        "options": {},
        "fileName": "d:\\Brand-Content-Summary.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "72938f7b-20c1-45d3-9348-878d6e0b8d60",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
        -1080
      ],
      "parameters": {
        "color": 4,
        "width": 1100,
        "height": 460,
        "content": "## 摘要"
      },
      "typeVersion": 1
    },
    {
      "id": "fcf1d1ad-d516-41bc-bf76-73ebb920ecba",
      "name": "便签 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1720,
        40
      ],
      "parameters": {
        "color": 6,
        "width": 1000,
        "height": 480,
        "content": "## 情感分析"
      },
      "typeVersion": 1
    },
    {
      "id": "9c44d01f-e30b-4597-ad74-09fa54b4ec84",
      "name": "便签 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
        -520
      ],
      "parameters": {
        "color": 3,
        "width": 1100,
        "height": 480,
        "content": "## 文本数据提取"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "317a5d48-95c6-4425-a14a-6b2fec9e0802",
  "connections": {
    "Summarize Content": {
      "main": [
        [
          {
            "node": "Initiate a Webhook Notification for Summarization",
            "type": "main",
            "index": 0
          },
          {
            "node": "Create a binary data for summary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Set URL and Bright Data Zone": {
      "main": [
        [
          {
            "node": "Perform Bright Data Web Request",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Perform Bright Data Web Request": {
      "main": [
        [
          {
            "node": "Markdown to Textual Data Extractor",
            "type": "main",
            "index": 0
          },
          {
            "node": "Summarize Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data for summary": {
      "main": [
        [
          {
            "node": "Write the summary file to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Set URL and Bright Data Zone",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Markdown to Textual Data Extractor": {
      "main": [
        [
          {
            "node": "AI Sentiment Analyzer with the structured response",
            "type": "main",
            "index": 0
          },
          {
            "node": "Initiate a Webhook Notification for Markdown to Textual Data Extraction",
            "type": "main",
            "index": 0
          },
          {
            "node": "Create a binary data for textual data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model for Summary": {
      "ai_languageModel": [
        [
          {
            "node": "Summarize Content",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data for textual data": {
      "main": [
        [
          {
            "node": "Write the textual file to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model for Data Extract": {
      "ai_languageModel": [
        [
          {
            "node": "Markdown to Textual Data Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data for sentiment analysis": {
      "main": [
        [
          {
            "node": "Write the AI Sentiment analysis file to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model for Sentiment Analyzer": {
      "ai_languageModel": [
        [
          {
            "node": "AI Sentiment Analyzer with the structured response",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "AI Sentiment Analyzer with the structured response": {
      "main": [
        [
          {
            "node": "Initiate a Webhook Notification for AI Sentiment Analyzer",
            "type": "main",
            "index": 0
          },
          {
            "node": "Create a binary data for sentiment analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Initiate a Webhook Notification for AI Sentiment Analyzer": {
      "main": [
        []
      ]
    },
    "Initiate a Webhook Notification for Markdown to Textual Data Extraction": {
      "main": [
        []
      ]
    }
  }
}
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, 营销

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。

工作流信息
难度等级
高级
节点数量23
分类2
节点类型10
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

外部链接
在 n8n.io 查看

分享此工作流