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SERPBear分析模板

中级

这是一个AI, Marketing领域的自动化工作流,包含 10 个节点。主要使用 Code, Baserow, HttpRequest, ManualTrigger, ScheduleTrigger 等节点,结合人工智能技术实现智能自动化。 使用AI(通过Openrouter)总结SERPBear数据并保存到Baserow

前置要求
  • 可能需要目标 API 的认证凭证
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": "qmmXKcpJOCm9qaCk",
  "meta": {
    "instanceId": "558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a",
    "templateCredsSetupCompleted": true
  },
  "name": "SERPBear 分析模板",
  "tags": [],
  "nodes": [
    {
      "id": "2ad0eb40-6628-4c6b-bc15-7081e7712f1a",
      "name": "当点击\"测试工作流\"时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        260,
        380
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "5a3c9ad8-a562-4bb0-bb11-c325552d8101",
      "name": "计划触发器",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        260,
        160
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "bdfa7388-f9b3-4145-90de-2e58138e14bf",
      "name": "从 SerpBear 获取数据",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        580,
        260
      ],
      "parameters": {
        "url": "https://myserpbearinstance.com/api/keyword?id=22",
        "options": {},
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "domain",
              "value": "rumjahn.com"
            }
          ]
        }
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "3fshHb4fyI5XfLyq",
          "name": "Header Auth account 6"
        }
      },
      "executeOnce": false,
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "c169f4e3-ab60-4b46-9f49-cf27a13dd7c6",
      "name": "解析来自 SerpBear 的数据",
      "type": "n8n-nodes-base.code",
      "position": [
        820,
        260
      ],
      "parameters": {
        "jsCode": "const keywords = items[0].json.keywords;\nconst today = new Date().toISOString().split('T')[0];\n\n// Create summary for each keyword\nconst keywordSummaries = keywords.map(kw => {\n  const position = kw.position || 0;\n  const lastWeekPositions = Object.values(kw.history || {}).slice(-7);\n  const avgPosition = lastWeekPositions.reduce((a, b) => a + b, 0) / lastWeekPositions.length;\n  \n  return {\n    keyword: kw.keyword,\n    currentPosition: position,\n    averagePosition: Math.round(avgPosition * 10) / 10,\n    trend: position < avgPosition ? 'improving' : position > avgPosition ? 'declining' : 'stable',\n    url: kw.url || 'not ranking'\n  };\n});\n\n// Create the prompt\nconst prompt = `Here's the SEO ranking data for rumjahn.com as of ${today}:\n\n${keywordSummaries.map(kw => `\nKeyword: \"${kw.keyword}\"\nCurrent Position: ${kw.currentPosition}\n7-Day Average: ${kw.averagePosition}\nTrend: ${kw.trend}\nRanking URL: ${kw.url}\n`).join('\\n')}\n\nPlease analyze this data and provide:\n1. Key observations about ranking performance\n2. Keywords showing the most improvement\n3. Keywords needing attention\n4. Suggested actions for improvement`;\n\nreturn {\n  prompt\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "cc6e16a7-db46-42fe-837a-59ce635c906c",
      "name": "发送数据到 AI 进行分析",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1060,
        260
      ],
      "parameters": {
        "url": "https://openrouter.ai/api/v1/chat/completions",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"model\": \"meta-llama/llama-3.1-70b-instruct:free\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"You are an SEO expert. This is keyword data for my site. Can you summarize the data into a table and then give me some suggestions:{{ encodeURIComponent($json.prompt)}}\" \n    }\n  ]\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth"
      },
      "credentials": {
        "httpHeaderAuth": {
          "id": "WY7UkF14ksPKq3S8",
          "name": "Header Auth account 2"
        }
      },
      "typeVersion": 4.2,
      "alwaysOutputData": false
    },
    {
      "id": "a623f06c-1dfe-4d04-a7fd-fed7049a7588",
      "name": "保存数据到 Baserow",
      "type": "n8n-nodes-base.baserow",
      "position": [
        1340,
        260
      ],
      "parameters": {
        "tableId": 644,
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": 6264,
              "fieldValue": "={{ DateTime.now().toFormat('yyyy-MM-dd') }}"
            },
            {
              "fieldId": 6265,
              "fieldValue": "={{ $json.choices[0].message.content }}"
            },
            {
              "fieldId": 6266,
              "fieldValue": "Rumjahn"
            }
          ]
        },
        "operation": "create",
        "databaseId": 121
      },
      "credentials": {
        "baserowApi": {
          "id": "8w0zXhycIfCAgja3",
          "name": "Baserow account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e8048faf-bbed-4e48-b273-d1a50a767e76",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        220,
        -360
      ],
      "parameters": {
        "color": 5,
        "width": 614.709677419355,
        "height": 208.51612903225802,
        "content": "## 将 Matomo 分析数据发送给 AI 并将结果保存到 Baserow"
      },
      "typeVersion": 1
    },
    {
      "id": "1a18e685-79db-423f-992a-5e0d4ddeb672",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        520,
        -80
      ],
      "parameters": {
        "width": 214.75050403225822,
        "height": 531.7318548387107,
        "content": "## 获取 SERPBear 数据"
      },
      "typeVersion": 1
    },
    {
      "id": "99895baf-75d0-4af2-87de-5b8951186e78",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        980,
        -60
      ],
      "parameters": {
        "color": 3,
        "width": 225.99936321742769,
        "height": 508.95792207792226,
        "content": "## 发送数据到 AI"
      },
      "typeVersion": 1
    },
    {
      "id": "07d03511-98b0-4f4a-8e68-96ca177fb246",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1240,
        -40
      ],
      "parameters": {
        "color": 6,
        "width": 331.32883116883124,
        "height": 474.88,
        "content": "## 发送数据到 Baserow"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "8b7e7da7-1965-4ca4-8e15-889eda819723",
  "connections": {
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Get data from SerpBear",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get data from SerpBear": {
      "main": [
        [
          {
            "node": "Parse data from SerpBear",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse data from SerpBear": {
      "main": [
        [
          {
            "node": "Send data to A.I. for analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Send data to A.I. for analysis": {
      "main": [
        [
          {
            "node": "Save data to Baserow",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Get data from SerpBear",
            "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?

中级 - 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
中级
节点数量10
分类2
节点类型6
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
Keith Rumjahn

Keith Rumjahn

@rumjahn

I create automations with A.I. for SEO content and other smart automations.

外部链接
在 n8n.io 查看

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