Google 리뷰 감정 분석 워크플로

• •Slack Bot Token 또는 Webhook URL
• •Google Gemini API Key

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  "name": "Google review Sentiment analysis workflow",
  "tags": [],
  "nodes": [
    {
      "id": "3f44e182-92ad-4e47-9eab-4ffc6c9a3dfa",
      "name": "다수 리뷰 가져오기",
      "type": "n8n-nodes-base.googleBusinessProfile",
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        "operation": "getAll",
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      "parameters": {
        "options": {
          "batching": {
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            "delayBetweenBatches": 60000
          },
          "categories": "Positive, Neutral, Negative",
          "enableAutoFixing": true,
          "systemPromptTemplate": "=You are a highly intelligent and accurate sentiment analyzer.  \n\nYou will receive multiple JSON objects, each containing:  \n- Comment: \"{{ $json.Comment }}\"  \n- Rating: \"{{ $json.Raiting }}\"  \n- Date: \"{{ $json.Date }}\"  \n\nRules for analysis:  \n- If Comment = \"no comment\", ignore the comment and analyze sentiment only from the rating.  \n- If Comment has text, analyze sentiment based on both the comment and rating together.  \n- Use the Date field to group sentiments by month and identify trends.  \n\nYour tasks:  \n1. Classify the overall sentiment trends into one of the following categories: {categories}.  \n2. Group the results by month (based on the Date field) and provide the sentiment distribution for each month.  \n3. For each month, give a short explanation of why the sentiment appears that way (e.g., common themes in comments, tone, or rating alignment).  \n4. Provide a consolidated summary of sentiment across the entire dataset, including the key reasons driving the results.  ",
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      "position": [
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      "parameters": {
        "text": "=You are an AI assistant that consolidates customer feedback consisting of comments, ratings, and sentiment analysis metadata. \n\nINPUT DATA:\n{{ $json.feedback }}\n\nTASK:\n1. Review all feedback entries together.\n   - Ignore entries where \"Comment\" = \"no comment\".\n   - Convert \"Raiting\" into numeric stars (FIVE = 5, FOUR = 4, etc.).\n   - Use \"sentimentAnalysis\" to confirm tone and consistency.\n   - Consider \"Date\" to identify any trends or changes over time.\n\n2. Produce ONE single consolidated report in **valid JSON format** with the following structure:\n\n{\n  \"overallSentiment\": \"string\",        // e.g. \"Positive\", \"Negative\", \"Mixed\"\n  \"averageRating\": number,             // average numeric rating\n  \"highlights\": [ \"string\", ... ],     // list of positive aspects\n  \"weaknessesConcerns\": [ \"string\", ... ], // list of concerns/issues\n  \"timeTrend\": \"string\",               // description of sentiment or rating trend over time\n  \"finalSummary\": \"string\"             // concise conclusion\n}",
        "options": {},
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      "parameters": {
        "text": "=You are an AI assistant that consolidates customer feedback consisting of comments, ratings, and sentiment analysis metadata. \n\nINPUT DATA:\n{{ $json.feedback }}\n\nTASK:\n1. Review all feedback entries together.\n   - Ignore entries where \"Comment\" = \"no comment\".\n   - Convert \"Raiting\" into numeric stars (FIVE = 5, FOUR = 4, etc.).\n   - Use \"sentimentAnalysis\" to confirm tone and consistency.\n   - Consider \"Date\" to identify any trends or changes over time.\n\n2. Produce ONE single consolidated report in **valid JSON format** with the following structure:\n\n{\n  \"overallSentiment\": \"string\",        // e.g. \"Positive\", \"Negative\", \"Mixed\"\n  \"averageRating\": number,             // average numeric rating\n  \"highlights\": [ \"string\", ... ],     // list of positive aspects\n  \"weaknessesConcerns\": [ \"string\", ... ], // list of concerns/issues\n  \"timeTrend\": \"string\",               // description of sentiment or rating trend over time\n  \"finalSummary\": \"string\"             // concise conclusion\n}",
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      "parameters": {
        "text": "=You are an AI assistant that consolidates customer feedback consisting of comments, ratings, and sentiment analysis metadata. \n\nINPUT DATA:\n{{ $json.feedback }}\n\nTASK:\n1. Review all feedback entries together.\n   - Ignore entries where \"Comment\" = \"no comment\".\n   - Convert \"Raiting\" into numeric stars (FIVE = 5, FOUR = 4, etc.).\n   - Use \"sentimentAnalysis\" to confirm tone and consistency.\n   - Consider \"Date\" to identify any trends or changes over time.\n\n2. Produce ONE single consolidated report in **valid JSON format** with the following structure:\n\n{\n  \"overallSentiment\": \"string\",        // e.g. \"Positive\", \"Negative\", \"Mixed\"\n  \"averageRating\": number,             // average numeric rating\n  \"highlights\": [ \"string\", ... ],     // list of positive aspects\n  \"weaknessesConcerns\": [ \"string\", ... ], // list of concerns/issues\n  \"timeTrend\": \"string\",               // description of sentiment or rating trend over time\n  \"finalSummary\": \"string\"             // concise conclusion\n}",
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      "name": "Google Gemini Chat Model1",
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        "modelName": "models/gemini-2.0-flash"
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      "credentials": {
        "googlePalmApi": {
          "id": "WGFHFP25iuAU2TH9",
          "name": "Google Gemini(PaLM) Api account 2"
        }
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      "typeVersion": 1
    },
    {
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      "name": "스티키 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 752,
        "height": 432,
        "content": "## Reading Google review\n**Reading google review from the google business profile**"
      },
      "typeVersion": 1
    },
    {
      "id": "eb49d865-7578-4969-b505-b643caa3f29d",
      "name": "스티키 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        288,
        -288
      ],
      "parameters": {
        "width": 400,
        "height": 544,
        "content": "## Run sentiment analysis on google review\n**Based on the google review data a sentiment analysis run on top of the google review using Gemini model.**"
      },
      "typeVersion": 1
    },
    {
      "id": "17a9299c-5c99-466e-ae6a-895c29b25106",
      "name": "스티키 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        720,
        -624
      ],
      "parameters": {
        "width": 640,
        "height": 896,
        "content": "## Summarize the sentiment analysis report using AI model\n**After the sentiment of each review is analysed consolidating the overall sentiment and restructure the output.**"
      },
      "typeVersion": 1
    },
    {
      "id": "4b087a3b-d891-4f9a-97d1-be57259afb19",
      "name": "스티키 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 448,
        "height": 928,
        "content": "## Sent notification to slack channel\n\n**Restructure the data to slack block and send to slack channel.**"
      },
      "typeVersion": 1
    },
    {
      "id": "091e5606-4e04-4fe3-b2df-0625f32d6beb",
      "name": "스티키 노트5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 512,
        "height": 448,
        "content": "\n## Google review Sentiment analysis workflow\n\n\n**What it does**\n- Read Google review from the google business profile\n- Run sentimental analysis on the review for a defined period.\n- Send notification to slack channel.\n\n**Requirement**\n- Google business profile with approved project by  Google.\n- Enable google business profile API service.\n- Gemini model with necessary credentials\n\n\n**Setup Instructions:**\n- Setup google business profile and enable Google Business Profile API.\n- Read google review using owner name and location.\n- Setup slack account to send notification from workflow.\n- Configure the time period of the review using set time period node\n"
      },
      "typeVersion": 1
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    {
      "id": "b4506c66-8619-4eef-aed0-f4a9363af457",
      "name": "시간 범위 설정",
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        "assignments": {
          "assignments": [
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              "id": "6acde8ee-5eeb-451c-a491-ed4a19c7b765",
              "name": "period",
              "type": "string",
              "value": "year"
            },
            {
              "id": "f5212cc6-8ed1-45de-ac3b-ff839822bed2",
              "name": "time",
              "type": "string",
              "value": "3"
            }
          ]
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      "executeOnce": true,
      "typeVersion": 3.4
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      "id": "f284db6b-8852-427a-be86-e30961871f97",
      "name": "시간 범위 기준 리뷰 필터링",
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          "conditions": [
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              "id": "2dd5772a-efc9-46ac-9054-c5a7de0abdc9",
              "operator": {
                "type": "dateTime",
                "operation": "after"
              },
              "leftValue": "={{ $json.updateTime }}",
              "rightValue": "={{ $today.minus({ [ $('Set time period').item.json.period ]: $('Set time period').item.json.time }).toISO() }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c775ac9e-4367-463d-b3d0-45e3d7bc648f",
      "name": "댓글과 평점 매핑",
      "type": "n8n-nodes-base.set",
      "position": [
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      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "4ad19e64-07ad-4351-a696-d2d0026aaa31",
              "name": "Comment",
              "type": "string",
              "value": "={{ $json.comment ?? \"no comment\" }}"
            },
            {
              "id": "ac2932fb-6a62-4179-98d3-5d66a9738ee8",
              "name": "Raiting",
              "type": "string",
              "value": "={{ $json.starRating ?? \"0\" }}"
            },
            {
              "id": "fcadfd58-3d78-44e3-9e95-a24cbdaec614",
              "name": "Date",
              "type": "string",
              "value": "={{ $json.updateTime }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "719cdaa0-f962-45da-91a4-34492f92119e",
      "name": "json 문자열로 변환",
      "type": "n8n-nodes-base.code",
      "position": [
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        -336
      ],
      "parameters": {
        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
      },
      "executeOnce": true,
      "typeVersion": 2
    },
    {
      "id": "68f2cf3c-4b21-4004-b8d4-3399d8c1bafa",
      "name": "json 문자열로 변환1",
      "type": "n8n-nodes-base.code",
      "position": [
        816,
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      ],
      "parameters": {
        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
      },
      "executeOnce": true,
      "typeVersion": 2
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    {
      "id": "046f17c6-c024-4b62-b16f-6d6ccdfeaad2",
      "name": "json 문자열로 변환2",
      "type": "n8n-nodes-base.code",
      "position": [
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      ],
      "parameters": {
        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
      },
      "executeOnce": true,
      "typeVersion": 2
    },
    {
      "id": "cad3406f-e05d-4c9c-ae13-aa9d877286e3",
      "name": "긍정적 감정 데이터를 slack 블록으로 재구성",
      "type": "n8n-nodes-base.code",
      "position": [
        1456,
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      "parameters": {
        "jsCode": "// Extract JSON string from $json.output (remove ```json ... ```)\nlet raw = $json.output.replace(/```json|```/g, \"\").trim();\n\n// Parse JSON\nlet data;\ntry {\n  data = JSON.parse(raw);\n} catch (e) {\n  throw new Error(\"Invalid JSON format in output: \" + e.message);\n}\n\n// Slack blocks array\nconst blocks = [\n  {\n    type: \"header\",\n    text: {\n      type: \"plain_text\",\n      text: \"📊 Customer Feedback Report\",\n      emoji: true\n    }\n  }\n];\n\n// Overall Sentiment\nif (data.overallSentiment) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Overall Sentiment:* ${data.overallSentiment}` }\n  });\n}\n\n// Average Rating\nif (data.averageRating) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Average Rating:* ${data.averageRating} ⭐` }\n  });\n}\n\n// Highlights\nif (data.highlights && data.highlights.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Highlights:*\" }\n  });\n\n  data.highlights.forEach(h => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${h}` }\n    });\n  });\n}\n\n// Weaknesses/Concerns\nif (data.weaknessesConcerns && data.weaknessesConcerns.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Weaknesses / Concerns:*\" }\n  });\n\n  data.weaknessesConcerns.forEach(w => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${w}` }\n    });\n  });\n}\n\n// Time Trend\nif (data.timeTrend) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Time Trend:* ${data.timeTrend}` }\n  });\n}\n\n// Final Summary\nif (data.finalSummary) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Final Summary:* ${data.finalSummary}` }\n  });\n}\n\n// Return Slack-ready JSON\nreturn [\n  {\n    json: {\n      blocks\n    }\n  }\n];\n"
      },
      "executeOnce": true,
      "typeVersion": 2
    },
    {
      "id": "e734a3e0-5b2e-4930-a61a-c81a9263d34a",
      "name": "중립 감정 데이터를 slack 블록으로 재구성",
      "type": "n8n-nodes-base.code",
      "position": [
        1440,
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      "parameters": {
        "jsCode": "// Extract JSON string from $json.output (remove ```json ... ```)\nlet raw = $json.output.replace(/```json|```/g, \"\").trim();\n\n// Parse JSON\nlet data;\ntry {\n  data = JSON.parse(raw);\n} catch (e) {\n  throw new Error(\"Invalid JSON format in output: \" + e.message);\n}\n\n// Slack blocks array\nconst blocks = [\n  {\n    type: \"header\",\n    text: {\n      type: \"plain_text\",\n      text: \"📊 Customer Feedback Report\",\n      emoji: true\n    }\n  }\n];\n\n// Overall Sentiment\nif (data.overallSentiment) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Overall Sentiment:* ${data.overallSentiment}` }\n  });\n}\n\n// Average Rating\nif (data.averageRating) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Average Rating:* ${data.averageRating} ⭐` }\n  });\n}\n\n// Highlights\nif (data.highlights && data.highlights.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Highlights:*\" }\n  });\n\n  data.highlights.forEach(h => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${h}` }\n    });\n  });\n}\n\n// Weaknesses/Concerns\nif (data.weaknessesConcerns && data.weaknessesConcerns.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Weaknesses / Concerns:*\" }\n  });\n\n  data.weaknessesConcerns.forEach(w => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${w}` }\n    });\n  });\n}\n\n// Time Trend\nif (data.timeTrend) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Time Trend:* ${data.timeTrend}` }\n  });\n}\n\n// Final Summary\nif (data.finalSummary) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Final Summary:* ${data.finalSummary}` }\n  });\n}\n\n// Return Slack-ready JSON\nreturn [\n  {\n    json: {\n      blocks\n    }\n  }\n];\n"
      },
      "executeOnce": true,
      "typeVersion": 2
    },
    {
      "id": "bf8ebac2-b4f9-43ea-8ec0-ab2a018760c2",
      "name": "부정적 감정 데이터를 slack 블록으로 재구성",
      "type": "n8n-nodes-base.code",
      "position": [
        1456,
        112
      ],
      "parameters": {
        "jsCode": "// Extract JSON string from $json.output (remove ```json ... ```)\nlet raw = $json.output.replace(/```json|```/g, \"\").trim();\n\n// Parse JSON\nlet data;\ntry {\n  data = JSON.parse(raw);\n} catch (e) {\n  throw new Error(\"Invalid JSON format in output: \" + e.message);\n}\n\n// Slack blocks array\nconst blocks = [\n  {\n    type: \"header\",\n    text: {\n      type: \"plain_text\",\n      text: \"📊 Customer Feedback Report\",\n      emoji: true\n    }\n  }\n];\n\n// Overall Sentiment\nif (data.overallSentiment) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Overall Sentiment:* ${data.overallSentiment}` }\n  });\n}\n\n// Average Rating\nif (data.averageRating) {\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Average Rating:* ${data.averageRating} ⭐` }\n  });\n}\n\n// Highlights\nif (data.highlights && data.highlights.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Highlights:*\" }\n  });\n\n  data.highlights.forEach(h => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${h}` }\n    });\n  });\n}\n\n// Weaknesses/Concerns\nif (data.weaknessesConcerns && data.weaknessesConcerns.length > 0) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: \"*Weaknesses / Concerns:*\" }\n  });\n\n  data.weaknessesConcerns.forEach(w => {\n    blocks.push({\n      type: \"section\",\n      text: { type: \"mrkdwn\", text: `• ${w}` }\n    });\n  });\n}\n\n// Time Trend\nif (data.timeTrend) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Time Trend:* ${data.timeTrend}` }\n  });\n}\n\n// Final Summary\nif (data.finalSummary) {\n  blocks.push({ type: \"divider\" });\n  blocks.push({\n    type: \"section\",\n    text: { type: \"mrkdwn\", text: `*Final Summary:* ${data.finalSummary}` }\n  });\n}\n\n// Return Slack-ready JSON\nreturn [\n  {\n    json: {\n      blocks\n    }\n  }\n];\n"
      },
      "executeOnce": true,
      "retryOnFail": false,
      "typeVersion": 2
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