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通过Bright Data提取、总结和分析亚马逊产品降价情况

高级

这是一个AI, Marketing领域的自动化工作流，包含 26 个节点。主要使用 Set, Wait, Merge, SplitOut, McpClient 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、总结和分析亚马逊降价信息

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

使用的节点 (26)

Set
Wait
Merge
SplitOut
McpClient
Aggregate
StickyNote
HttpRequest
GoogleSheets
ManualTrigger
SplitInBatches
ChainLlm
ChainSummarization
LmChatGoogleGemini
InformationExtractor
OutputParserStructured
TextSplitterRecursiveCharacterTextSplitter

分类

人工智能
营销
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": "L6nGDqfxvxzlvDU2",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "Extract, Summarize, Sentiment Analysis of Price Drops for Amazon Products via Bright Data",
  "tags": [
    {
      "id": "Kujft2FOjmOVQAmJ",
      "name": "Engineering",
      "createdAt": "2025-04-09T01:31:00.558Z",
      "updatedAt": "2025-04-09T01:31:00.558Z"
    },
    {
      "id": "ZOwtAMLepQaGW76t",
      "name": "Building Blocks",
      "createdAt": "2025-04-13T15:23:40.462Z",
      "updatedAt": "2025-04-13T15:23:40.462Z"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "c05c50b0-410e-428c-b9b9-c300b95b0ce8",
      "name": "当点击时 ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
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      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "e2bef95f-a42a-47f1-b49f-1e18a7a76fc5",
      "name": "Bright Data MCP Client List 工具s",
      "type": "n8n-nodes-mcp.mcpClient",
      "position": [
        -540,
        -595
      ],
      "parameters": {},
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
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      },
      "typeVersion": 1
    },
    {
      "id": "03126e8e-b3ef-4bc1-966f-23050034e717",
      "name": "设置 input fields",
      "type": "n8n-nodes-base.set",
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      "parameters": {
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        "assignments": {
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              "id": "0ac91db2-9848-40d4-b942-cd7288597ded",
              "name": "price_drop_url",
              "type": "string",
              "value": "https://camelcamelcamel.com/top_drops?t=daily"
            },
            {
              "id": "88826650-2a6f-4d19-8a2f-27b039296a00",
              "name": "webhook_notification_url",
              "type": "string",
              "value": "https://webhook.site/24878284-919d-4d39-bff0-5f36bfae17b6"
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      "position": [
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      "parameters": {
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        "width": 440,
        "height": 140,
        "content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
      },
      "typeVersion": 1
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        "width": 440,
        "height": 240,
        "content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
      },
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        "width": 440,
        "height": 360,
        "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
      },
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        "content": "## Note\n\nDeals with the extraction of price drop information of ecommerce produce and scraping the site by leveraging the Bright Data MCP Client.\n\nThis workflow is also responsible for the structured data extraction, sentiment analysis and summarization of content.\n\n**Please make sure to set the input fields**"
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    {
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      "parameters": {
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      "typeVersion": 1.1
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    {
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      "name": "汇总 Content",
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    },
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    },
    {
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      "name": "Update Google 表格",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      ],
      "parameters": {
        "columns": {
          "value": {
            "output": "={{ $json.data.toJsonString() }}"
          },
          "schema": [
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              "id": "output",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "output",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "output"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/10gAihQMT8-h8Mpehe9j-xxN4oTTpg8qwToI-I-Eauew/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1a1yb4XSMQ0Vs0Rg2RCwrcIVXwDN3ImXW_4OUebURKZI",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1a1yb4XSMQ0Vs0Rg2RCwrcIVXwDN3ImXW_4OUebURKZI/edit?usp=drivesdk",
          "cachedResultName": "Pricedrop Info"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "Zjoxh2BUZ6VXGQhA",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.5
    },
    {
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      "name": "Webhook 触发器 Notification for Price Drop Info",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "={{ $('Set input fields').item.json.webhook_notification_url }}",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "response",
              "value": "={{ $json.data.toJsonString() }}"
            }
          ]
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      "typeVersion": 4.2
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    {
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      "position": [
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      ],
      "parameters": {
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      "credentials": {
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      "typeVersion": 1
    },
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      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      ],
      "parameters": {
        "jsonSchemaExample": "[{\n\"id\": \"unique_id\",\n\"title\": \n\"Atosa MBF8005GR 52″ Reach-In Refrigerator for Restaurant Deli Cafeteria Steak House | Top Mount Compressor, 43.2 Cu. Ft. | 2-Solid Swing Door, 6 Adjustable Epoxy Coated Shelves | Stainless Steel, 115v\",\n\"price\": \n\"$2,919.48\",\n\"savings\": \n\"Save 18% ($649.36)\",\n\"link\": \n\"https://camelcamelcamel.com/product/07BH0Y75B4KUYI1YP78IB/go?context=top%5Fdrops&ctx%5Fpid=94751977&ctx%5Fcid=-1&ctx%5Faid=-1&ctx%5Fact=buy&ctx%5Fsrc=buy-button&&sjc=1\"\n}]"
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      ],
      "parameters": {
        "text": "=Extract structured data from  {{ $json.result.content[0].text }}",
        "batching": {},
        "promptType": "define",
        "hasOutputParser": true
      },
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      "typeVersion": 1.7
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      ],
      "parameters": {
        "toolName": "scrape_as_markdown",
        "operation": "executeTool",
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      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
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    },
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      ],
      "parameters": {
        "toolName": "scrape_as_markdown",
        "operation": "executeTool",
        "toolParameters": "={\n  \"url\": \"{{ $json.link }}\"\n} "
      },
      "credentials": {
        "mcpClientApi": {
          "id": "JtatFSfA2kkwctYa",
          "name": "MCP Client (STDIO) account"
        }
      },
      "typeVersion": 1
    },
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    "6a0bc566-2eb8-4eea-bf11-d040f352fbf7": {
      "main": [
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            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "db2330d2-2490-4822-b5c5-519fecb95c1d": {
      "ai_languageModel": [
        [
          {
            "node": "fa7525b9-86b0-4646-994f-38b85a00f0d9",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "b887a1a5-4de1-43bb-b51c-fd218d5ca2e6": {
      "ai_languageModel": [
        [
          {
            "node": "1f6dd841-144f-44a7-9220-fd7aaf2090bd",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "22d7cba2-5d8f-4e2a-8d99-e1dd2b232fd3": {
      "main": [
        [
          {
            "node": "fa7525b9-86b0-4646-994f-38b85a00f0d9",
            "type": "main",
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          },
          {
            "node": "1f6dd841-144f-44a7-9220-fd7aaf2090bd",
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      ]
    }
  }
}
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。

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工作流信息
难度等级
高级
节点数量26
分类2
节点类型17
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

A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com

外部链接
在 n8n.io 查看 →

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分类

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1540
人工智能
1108
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695
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516
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419
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251
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241
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203
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193
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176
销售
162
IT 运维
156
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147
AI RAG 检索增强
146
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144
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137
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125
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117
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111
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101
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97
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87
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82
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81
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77
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76
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70
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67
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57
发票处理
53
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49
文件管理
39
项目管理
35
内部知识库
32

分类: 34