Workflow d'analyse du sentiment des avis Google

• •Token Bot Slack ou URL Webhook
• •Clé API Google Gemini

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  "name": "Google review Sentiment analysis workflow",
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      "id": "3f44e182-92ad-4e47-9eab-4ffc6c9a3dfa",
      "name": "Obtenir plusieurs avis",
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      "name": "Analyse de Sentiment",
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        "options": {
          "batching": {
            "batchSize": 20,
            "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.  ",
          "includeDetailedResults": true
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        "inputText": "={{ $json.Comment }}{{ $json.Raiting }}{{ $json.Date }}"
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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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        "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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        "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": "Note adhésive",
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      "position": [
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        "height": 432,
        "content": "## Reading Google review\n**Reading google review from the google business profile**"
      },
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    },
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      "position": [
        288,
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      "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
    },
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      "position": [
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      "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
    },
    {
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      "name": "Note adhésive3",
      "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.**"
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      "parameters": {
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        "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"
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              "value": "year"
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    {
      "id": "f284db6b-8852-427a-be86-e30961871f97",
      "name": "Filtrer les avis selon la période",
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    {
      "id": "c775ac9e-4367-463d-b3d0-45e3d7bc648f",
      "name": "Mapper le commentaire et la note",
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              "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": "={{ $json.updateTime }}"
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      "name": "Convertir en chaîne json",
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      "parameters": {
        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
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      "executeOnce": true,
      "typeVersion": 2
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        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
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        "jsCode": "return [\n  {\n    json: {\n      feedback: JSON.stringify($input.all().map(item => item.json), null, 2)\n    }\n  }\n];"
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        "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"
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        "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"
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