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使用GPT-4o-mini、表格和Slack自动化Reddit品牌监控和回复

高级

这是一个Social Media, Multimodal AI领域的自动化工作流,包含 20 个节点。主要使用 If, Code, Slack, Reddit, GoogleSheets 等节点。 通过GPT-4o-mini、表格和Slack实现Reddit品牌监控和回复的自动化

前置要求
  • Slack Bot Token 或 Webhook URL
  • Google Sheets API 凭证
  • OpenAI 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
{
  "meta": {
    "instanceId": "db30e8ae4100235addbd4638770997b7ef11878d049073c888ba440ca84c55fc"
  },
  "nodes": [
    {
      "id": "947d8563-99c3-40bb-9fef-13f482cb8567",
      "name": "每日营销检查",
      "type": "n8n-nodes-base.scheduleTrigger",
      "notes": "Runs every 24 hours to scan Reddit for brand mentions and engagement opportunities",
      "position": [
        -1456,
        32
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "hours",
              "hoursInterval": 24
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "70d74090-8308-4ff8-995a-afa2b3e53448",
      "name": "搜索品牌提及",
      "type": "n8n-nodes-base.reddit",
      "notes": "Searches Reddit for posts mentioning your brand, products, or relevant keywords",
      "position": [
        -1008,
        32
      ],
      "parameters": {
        "limit": 50,
        "keyword": "={{ $json.brandKeyword }}",
        "location": "allReddit",
        "operation": "search",
        "additionalFields": {
          "sort": "new"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "958f4ae4-caf9-46ee-9ab5-e7a5f7cf9da9",
      "name": "品牌关键词配置",
      "type": "n8n-nodes-base.code",
      "notes": "Configure your brand name and relevant keywords to monitor",
      "position": [
        -1232,
        32
      ],
      "parameters": {
        "jsCode": "// Configure your brand monitoring keywords\nconst brandKeywords = [\n  \"YourBrandName\",\n  \"your-product-name\",\n  \"industry-keyword\"\n];\n\n// Return array of keywords to search\nreturn brandKeywords.map(keyword => ({\n  json: {\n    brandKeyword: keyword\n  }\n}));"
      },
      "typeVersion": 2
    },
    {
      "id": "f9fda183-58fe-4b81-a7b3-7ddecaba3ba7",
      "name": "AI帖子分析",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "notes": "Uses AI to analyze sentiment, relevance, and generate contextual responses",
      "position": [
        -800,
        32
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": ""
        },
        "options": {
          "temperature": 0.7
        },
        "messages": {
          "values": [
            {}
          ]
        }
      },
      "typeVersion": 1.4
    },
    {
      "id": "95982fd8-f412-475e-b4a5-6aaa69ec3b58",
      "name": "筛选值得互动的帖子",
      "type": "n8n-nodes-base.if",
      "notes": "Only engages with posts that are relevant, high-quality, and appropriate",
      "position": [
        -576,
        32
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "combineOperation": "all"
          },
          "conditions": [
            {
              "id": "condition-relevant",
              "operator": {
                "type": "boolean",
                "operation": "true"
              },
              "leftValue": "={{ $json.isRelevant }}",
              "rightValue": true
            },
            {
              "id": "condition-score",
              "operator": {
                "type": "number",
                "operation": "gt"
              },
              "leftValue": "={{ $json.engagementScore }}",
              "rightValue": 60
            },
            {
              "id": "condition-type",
              "operator": {
                "type": "string",
                "operation": "notEquals"
              },
              "leftValue": "={{ $json.responseType }}",
              "rightValue": "pass"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "71b6a70e-fe6a-4f6e-a5c9-c90181696e56",
      "name": "循环处理帖子",
      "type": "n8n-nodes-base.splitInBatches",
      "notes": "Process each post one at a time to avoid rate limits",
      "position": [
        -352,
        -48
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "1e154007-38ff-4201-8576-972c99bb9197",
      "name": "发布有帮助的评论",
      "type": "n8n-nodes-base.reddit",
      "notes": "Posts AI-generated helpful comment to engage with the community",
      "position": [
        -128,
        -48
      ],
      "parameters": {
        "postId": "={{ $('Search Brand Mentions').item.json.data.id }}",
        "resource": "postComment",
        "commentText": "={{ $('AI Post Analysis').item.json.suggestedResponse }}"
      },
      "typeVersion": 1
    },
    {
      "id": "dcfe45e5-64ec-4d91-abd2-3472b45fb4dc",
      "name": "记录到 Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "notes": "Tracks all Reddit interactions in a Google Sheet for analysis",
      "position": [
        96,
        -48
      ],
      "parameters": {
        "columns": {
          "value": {
            "postId": "={{ $('Search Brand Mentions').item.json.data.id }}",
            "postUrl": "=https://reddit.com{{ $('Search Brand Mentions').item.json.data.permalink }}",
            "postTitle": "={{ $('Search Brand Mentions').item.json.data.title }}",
            "reasoning": "={{ $('AI Post Analysis').item.json.reasoning }}",
            "sentiment": "={{ $('AI Post Analysis').item.json.sentiment }}",
            "subreddit": "={{ $('Search Brand Mentions').item.json.data.subreddit }}",
            "timestamp": "={{ $now.toISO() }}",
            "responseType": "={{ $('AI Post Analysis').item.json.responseType }}",
            "commentPosted": "={{ $json.success ? 'Yes' : 'Failed' }}",
            "engagementScore": "={{ $('AI Post Analysis').item.json.engagementScore }}"
          },
          "schema": [
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "postId",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "postId",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "postTitle",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "postTitle",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "subreddit",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "subreddit",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "postUrl",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "postUrl",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "sentiment",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "sentiment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "engagementScore",
              "type": "number",
              "display": true,
              "required": false,
              "displayName": "engagementScore",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "responseType",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "responseType",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "commentPosted",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "commentPosted",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reasoning",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reasoning",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": []
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "id",
          "value": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "id",
          "value": "YOUR_SHEET_ID"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "0c7a75ed-891c-45dd-95fc-c86c0e07862e",
      "name": "生成每日摘要",
      "type": "n8n-nodes-base.code",
      "notes": "Aggregates all data into a comprehensive daily report",
      "position": [
        320,
        32
      ],
      "parameters": {
        "jsCode": "// Aggregate all processed items\nconst items = $input.all();\n\nconst totalPosts = items.length;\nconst postsEngaged = items.filter(i => i.json.commentPosted === 'Yes').length;\nconst sentimentBreakdown = items.reduce((acc, item) => {\n  const sentiment = item.json.sentiment || 'unknown';\n  acc[sentiment] = (acc[sentiment] || 0) + 1;\n  return acc;\n}, {});\n\nconst avgScore = items.reduce((sum, item) => sum + (item.json.engagementScore || 0), 0) / totalPosts;\n\nconst topPosts = items\n  .sort((a, b) => (b.json.engagementScore || 0) - (a.json.engagementScore || 0))\n  .slice(0, 5)\n  .map(item => ({\n    title: item.json.postTitle,\n    subreddit: item.json.subreddit,\n    score: item.json.engagementScore,\n    url: item.json.postUrl\n  }));\n\nreturn [{\n  json: {\n    summary: {\n      totalPosts,\n      postsEngaged,\n      engagementRate: `${((postsEngaged / totalPosts) * 100).toFixed(1)}%`,\n      avgEngagementScore: avgScore.toFixed(1),\n      sentimentBreakdown,\n      topPosts,\n      reportDate: new Date().toISOString().split('T')[0]\n    }\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "59090839-871e-4fd1-bd07-251104e4115f",
      "name": "发送 Slack 报告",
      "type": "n8n-nodes-base.slack",
      "notes": "Sends comprehensive daily report to Slack with metrics and top opportunities",
      "position": [
        528,
        32
      ],
      "webhookId": "671ce43f-0973-4fc1-96ce-d0df355db33b",
      "parameters": {
        "text": "=📊 *Reddit Brand Marketing Daily Report*\n\n*Date:* {{ $json.summary.reportDate }}\n\n*Overall Performance:*\n• Posts Analyzed: {{ $json.summary.totalPosts }}\n• Comments Posted: {{ $json.summary.postsEngaged }}\n• Engagement Rate: {{ $json.summary.engagementRate }}\n• Avg Engagement Score: {{ $json.summary.avgEngagementScore }}/100\n\n*Sentiment Breakdown:*\n{{ Object.entries($json.summary.sentimentBreakdown).map(([k,v]) => `• ${k}: ${v} posts`).join('\\n') }}\n\n*Top 5 Engagement Opportunities:*\n{{ $json.summary.topPosts.map((post, i) => `${i+1}. ${post.title}\\n   📍 r/${post.subreddit} | Score: ${post.score}\\n   🔗 ${post.url}`).join('\\n\\n') }}\n\n✅ All interactions logged to Google Sheets",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "id",
          "value": "YOUR_CHANNEL_ID"
        },
        "otherOptions": {}
      },
      "typeVersion": 2.2
    },
    {
      "id": "6b53e5f2-79c8-41f9-b779-5efbe6aeaf37",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1904,
        -112
      ],
      "parameters": {
        "color": 4,
        "width": 347,
        "height": 469,
        "content": "## Reddit品牌营销工作流"
      },
      "typeVersion": 1
    },
    {
      "id": "4b1cf549-13f1-4acb-bc92-226fc8275380",
      "name": "便签 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1488,
        -112
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "计划触发器每24小时自动运行工作流"
      },
      "typeVersion": 1
    },
    {
      "id": "61e35218-b58c-42b7-a369-71b42c4d64ef",
      "name": "便签 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1264,
        -112
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "JavaScript代码节点定义要监控Reddit的品牌关键词"
      },
      "typeVersion": 1
    },
    {
      "id": "b9a32a51-137c-48e1-83aa-82d64001e52f",
      "name": "便签 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1040,
        -112
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "Reddit节点在所有子版块搜索品牌关键词提及"
      },
      "typeVersion": 1
    },
    {
      "id": "9ca8ec09-cd5d-440b-ba21-3f4c69b62a73",
      "name": "便签 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -800,
        -112
      ],
      "parameters": {
        "width": 320,
        "height": 112,
        "content": "OpenAI分析情感、相关性,生成上下文有帮助的评论回复 + 条件节点仅筛选值得互动的高质量相关帖子"
      },
      "typeVersion": 1
    },
    {
      "id": "b1e5a451-6954-479c-a225-d9c3bfddc55e",
      "name": "便签 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -384,
        -192
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "分批处理每个帖子,遵守限制"
      },
      "typeVersion": 1
    },
    {
      "id": "dafc1ea5-66a4-4bc0-a6e5-9c954295071b",
      "name": "便签6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -192
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "Reddit节点将AI生成的评论发布到值得互动的Reddit讨论"
      },
      "typeVersion": 1
    },
    {
      "id": "2e85a5e7-61df-4969-8012-ddb4a1336178",
      "name": "便签7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        64,
        -192
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "将所有互动数据附加到电子表格进行永久追踪"
      },
      "typeVersion": 1
    },
    {
      "id": "4529d6c8-87ca-4d11-a609-6463cfe6d236",
      "name": "便签8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        288,
        -112
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "JavaScript汇总指标、情感细分,生成全面的每日报告"
      },
      "typeVersion": 1
    },
    {
      "id": "ee43aa3b-6acd-40bf-982c-0a667797b886",
      "name": "便签9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        496,
        -112
      ],
      "parameters": {
        "width": 176,
        "height": 112,
        "content": "将格式化的每日摘要与指标发布到团队Slack频道"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "AI Post Analysis": {
      "main": [
        [
          {
            "node": "Filter Engagement-Worthy",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Loop Through Posts": {
      "main": [
        [
          {
            "node": "Post Helpful Comment",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Generate Daily Summary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Log to Google Sheets": {
      "main": [
        [
          {
            "node": "Loop Through Posts",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Post Helpful Comment": {
      "main": [
        [
          {
            "node": "Log to Google Sheets",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Brand Keywords Config": {
      "main": [
        [
          {
            "node": "Search Brand Mentions",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Daily Marketing Check": {
      "main": [
        [
          {
            "node": "Brand Keywords Config",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Search Brand Mentions": {
      "main": [
        [
          {
            "node": "AI Post Analysis",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Daily Summary": {
      "main": [
        [
          {
            "node": "Send Slack Report",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Filter Engagement-Worthy": {
      "main": [
        [
          {
            "node": "Loop Through Posts",
            "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 - 社交媒体, 多模态 AI

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20
分类2
节点类型9
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

作者
Daniel Shashko

Daniel Shashko

@tomax

AI automation specialist and a marketing enthusiast. More than 6 years of experience in SEO/GEO. Senior SEO at Bright Data.

外部链接
在 n8n.io 查看

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