Analyseur de commentaires des spectateurs YouTube

Avancé

Ceci est unMarket Research, AI Summarizationworkflow d'automatisation du domainecontenant 17 nœuds.Utilise principalement des nœuds comme If, SplitOut, HttpRequest, GoogleSheets, ManualTrigger. Utiliser Gemini AI pour analyser le sentiment des commentaires YouTube et sauvegarder dans Google Sheets

Prérequis
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
  • Informations d'identification Google Sheets API
  • Clé API OpenAI
  • Clé API Google Gemini
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
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  "meta": {
    "instanceId": "ed6d846a2fce1f660ede2e7da800724cca01dc3d0685524a3c917881b7cfcfe9",
    "templateCredsSetupCompleted": true
  },
  "name": "YouTube - Audience Comment Analyzer",
  "tags": [
    {
      "id": "CEVEeZJa4qgPvdpK",
      "name": "youtube",
      "createdAt": "2025-05-27T02:29:43.874Z",
      "updatedAt": "2025-05-27T02:29:43.874Z"
    }
  ],
  "nodes": [
    {
      "id": "ecd26999-0115-4739-b02c-65801a35eb51",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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      "parameters": {
        "options": {},
        "fieldToSplitOut": "body.items"
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    {
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      "name": "OpenAI Chat Model",
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      "position": [
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "qULV9xA6eq3tfpye",
          "name": "OpenAi - nhu.le"
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      "typeVersion": 1.2
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    {
      "id": "40976cd9-49d0-44eb-9ef9-55d7a864df54",
      "name": "Lors du clic sur 'Tester le workflow'",
      "type": "n8n-nodes-base.manualTrigger",
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      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "69c74c11-d4a5-4b27-9058-60ad46f9421c",
      "name": "HTTP Request - Get Comments",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        520,
        220
      ],
      "parameters": {
        "url": "https://www.googleapis.com/youtube/v3/commentThreads",
        "options": {
          "response": {
            "response": {
              "fullResponse": true,
              "responseFormat": "json"
            }
          },
          "pagination": {
            "pagination": {
              "parameters": {
                "parameters": [
                  {
                    "name": "pageToken",
                    "value": "={{ $response.body.nextPageToken }}"
                  }
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              "completeExpression": "={{ !$response.body.nextPageToken}}",
              "paginationCompleteWhen": "other"
            }
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        },
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "part",
              "value": "snippet"
            },
            {
              "name": "videoId",
              "value": "={{ $json.video_url.match(/(?:v=|\\/)([0-9A-Za-z_-]{11})/)[1] || ''}}"
            },
            {
              "name": "limit",
              "value": "100"
            }
          ]
        },
        "nodeCredentialType": "youTubeOAuth2Api"
      },
      "credentials": {
        "youTubeOAuth2Api": {
          "id": "KhD0GLQGWl8MtqCs",
          "name": "YouTube - toan.ngo"
        }
      },
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      "parameters": {
        "width": 660,
        "height": 1820,
        "content": "## [n8n Automation] YouTube Comments Analyzer - Try It Out!\n\n**This n8n workflow demonstrates how to use this AI Agent to extract, process, and analyze YouTube video comments to understand your audience beyond the view count.**\n\nUse cases are many: Whether you're **a YouTube creator** exploring feedback, **a social media manager** fine-tuning engagement strategy, **a brand team** monitoring campaign sentiment, or **a marketing agency** conducting audits – this tool brings audience voice to the forefront with structured insights.\n\n## How It Works\n- The workflow starts when you manually click **Test Workflow** or **Execute Workflow** in n8n.\n- It collects all the rows marked as **Ready** in **Column A** in the **Video URLs** tab of your connected Google Sheet.\n- The tool checks if the URLs are not empty first, then it loops through each valid video URL and sends a **GET** request to the **YouTube API** to fetch its comments.\n- It checks the response from the YouTube API. If the call is successful, the comment data is extracted and split into individual entries. \n- The tool then checks whether the video URL has any comment.\n- If no comment is found, the video URL’s status in **Column A** in the **Video URLs** tab is updated to **Finished** right away.\n- If comments are available, they are passed to the **AI Agent - Analyze Sentiment Of Every Comment** using **the Google Gemini chat model**, where each comment is analyzed and classified by sentiment: **Positive**, **Neutral**, or **Negative**. \n- Next, the analysis results are saved to the **Results** tab in your connected Google Sheet. \n- Finally, the original video URL’s status in **Column A** in the **Video URLs** tab is updated to **Finished**, ensuring it won’t be reprocessed in the loop.\n\n## How To Set Up\n- Download the working package and import it into your n8n interface.\n- Duplicate the [**YouTube Comment Analyzer**](https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit?gid=426418282#gid=426418282) Google Sheet template to your Google Sheets account.\n- Set up necessary credentials for tools access and usability:\n    + For **Google Sheets** access, ensure each node is properly connected to the correct tab in your connected Google Sheet template: \n     Node **Get Video URLs** → connected to the **Video URLs** tab\n     Node **Insert Comment Data & Analysis** → connected to the **Results** tab\n     Node **Update Video Status** → connected to the **Video URLs** tab\n    + For **YouTube** access, connect to its API in the following node:\n    Node **HTTP Request - Get Comments**\n    + For **Google Gemini** access, connect to its API in the following node:\n    Node **Google Gemini Chat Model**\n- Enter video URLs in **Column B** in the **Video URLs** tab in your connected Google Sheet and mark their status in **Column A** as **Ready**.\n- Click **Test Workflow** or **Execute Workflow** to run the process.\n- Check the results in the **Results** tab of the connected Google Sheet template to view all collected comments along with their sentiment analysis.\n\n## Requirements\n- Basic setup in Google Cloud Console (OAuth or API Key method enabled) with enabled access to YouTube and Google Sheets.\n- API access to **Google Gemini** for sentiment analysis.\n## How To Customize\n- By default, the workflow is manually triggered in N8N. However, you can automate the process by adding a **Google Sheets trigger** that monitors new entries in your connected Google Sheet template and starts the workflow automatically.\n- In the **AI Agent - Analyze Sentiment Of Every Comment** node, you can also change the AI chat model. By default, it uses **Google Gemini**, but you can easily replace it with any other compatible provider such as Deepseek, Grok, etc.\n- You can customize the sentiment categories and instruction prompt for the AI Agent in the **AI Agent – Analyze Sentiment Of Every Comment** node following your needs. Then, the Agent can return sentiment results that align more closely with your intended use case.\n- Also, feel free to integrate additional nodes (like Telegram or Email) to notify you and your team whenever updates and analysis succeed or fail.\n\n## Need Help?\nIf you’d like this workflow customized, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to [**Agent Circle**](https://www.agentcircle.ai/). We’re always here to support and help you to bring automation ideas to life.\n\nJoin our community on different platforms for assistance, inspiration and tips from others.\n\nWebsite: https://www.agentcircle.ai/\nEtsy: https://www.etsy.com/shop/AgentCircle\nGumroad: http://agentcircle.gumroad.com/\nDiscord Global: https://discord.gg/d8SkCzKwnP\nFB Page Global: https://www.facebook.com/agentcircle/\nFB Group Global: https://www.facebook.com/groups/aiagentcircle/\nX: https://x.com/agent_circle\nYouTube: https://www.youtube.com/@agentcircle\nLinkedIn: https://www.linkedin.com/company/agentcircle\n\n\n"
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      "position": [
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      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "AlDwotqhFT4EfJXQ",
          "name": "Google Gemini(PaLM) Api - toan.ngo"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e4aef7cf-bb41-49b6-b73a-f065d0534dc3",
      "name": "Vérifier si l'URL de la vidéo n'est pas vide",
      "type": "n8n-nodes-base.if",
      "position": [
        100,
        220
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
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          "combinator": "and",
          "conditions": [
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              "operator": {
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                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.video_url }}",
              "rightValue": "={{ $now.toISO() }}"
            }
          ]
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        "looseTypeValidation": true
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                "operation": "exists",
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              "leftValue": "={{ $json.snippet.videoId }}",
              "rightValue": ""
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      "name": "Update Video Status",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      ],
      "parameters": {
        "columns": {
          "value": {
            "status": "Finished",
            "row_number": "={{ $('Get Video URLs').item.json.row_number }}",
            "last_fetched_time": "={{ $now.toISO().toString().slice(0, 19).replace('T', ' ') }}"
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      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      "parameters": {
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        "filtersUI": {
          "values": [
            {
              "lookupValue": "=Ready",
              "lookupColumn": "status"
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          "cachedResultName": "YouTube - Audience Feedback Sentiment Analyzer"
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    {
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      "name": "Insert Comment Data & Analysis",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1740,
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      ],
      "parameters": {
        "columns": {
          "value": {
            "likes": "={{ $json.snippet.topLevelComment.snippet.likeCount }}",
            "reply": "={{ $json.snippet.totalReplyCount }}",
            "comment": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}",
            "sentiment": "={{ $json.sentimentAnalysis.category }}",
            "video_url": "=https://www.youtube.com/watch?v={{ $json.snippet.videoId }}",
            "comment_id": "={{ $json.snippet.topLevelComment.id }}",
            "author_name": "={{ $json.snippet.topLevelComment.snippet.authorDisplayName }}",
            "published_at": "={{ $json.snippet.topLevelComment.snippet.publishedAt.toString().slice(0, 19).replace('T', ' ') }}"
          },
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              "type": "string",
              "display": true,
              "required": false,
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              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comment_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "comment_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "display": true,
              "removed": false,
              "required": false,
              "displayName": "author_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "required": false,
              "displayName": "likes",
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              "canBeUsedToMatch": true
            },
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              "id": "reply",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "reply",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "sentiment",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "sentiment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "published_at",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "published_at",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "comment_id"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit#gid=0",
          "cachedResultName": "Results "
        },
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          "__rl": true,
          "mode": "list",
          "value": "18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM",
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          "cachedResultName": "YouTube - Audience Feedback Sentiment Analyzer"
        }
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          "id": "pe6UD1A6MWIk2X91",
          "name": "Google Sheets - toan.ngo"
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      },
      "typeVersion": 4.5
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    {
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      "name": "AI Agent - Analyze Sentiment Of Every Comment",
      "type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
      "position": [
        1340,
        0
      ],
      "parameters": {
        "options": {
          "categories": "Positive, Neutral, Negative",
          "systemPromptTemplate": "You are a highly intelligent and precise sentiment analysis system.  \nWhen given any input text, determine its overall sentiment and classify it into one of the following categories: {categories}. \nUse the provided formatting instructions. Respond with exactly one JSON object and nothing else."
        },
        "inputText": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
      },
      "typeVersion": 1
    },
    {
      "id": "38fabc2b-b369-436f-ac41-3e0cad36498b",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        -240
      ],
      "parameters": {
        "color": 4,
        "width": 420,
        "height": 940,
        "content": "## 1. Read Ready Video URLs\n- The workflow begins by pulling all the rows marked as **Ready** in **Column A** from the **Video URLs** tab of your connected Google Sheet. These are the entries queued for processing."
      },
      "typeVersion": 1
    },
    {
      "id": "bee35409-3dd4-4e03-aa76-12007a785384",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1080,
        -240
      ],
      "parameters": {
        "color": 4,
        "width": 880,
        "height": 940,
        "content": "## 3. Analyze Comment Sentiment, Update Results And Video Status\n- The tool then checks whether the video URL has any comment.\n- If no comment is found, the video URL’s status in **Column A** in the **Video URLs** tab is updated to **Finished** right away.\n- If comments are available, they are passed to **the Google Gemini chat model**, where each comment is analyzed and labeled as: **Positive**, **Neutral**, or **Negative**. \n- Next, the analysis results are saved to the **Results** tab in your connected Google Sheet. \n- Finally, the original video URL’s status in **Column A** in the **Video URLs** tab is updated to **Finished**, ensuring it won’t be reprocessed in the loop."
      },
      "typeVersion": 1
    },
    {
      "id": "73644694-fd5c-4962-8412-6249766024c1",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -240
      ],
      "parameters": {
        "color": 4,
        "width": 1020,
        "height": 940,
        "content": "## 2. Fetch Comments Via YouTube API\n- The tool checks if the URLs are not empty first, then it loops through each valid video URL and sends a **GET** request to the **YouTube API** to fetch its comments.\n- It checks the response from the YouTube API. If the call is successful, the comment data is extracted and split into individual entries. "
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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  "versionId": "1763a723-5e69-4d7d-ac35-664c14ddf023",
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Étude de marché, Résumé IA

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds17
Catégorie2
Types de nœuds10
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Agent Circle

Agent Circle

@agentcircle

Agent Circle - A growing marketplace of AI agents, workflows, and toolkits — built to help teams automate smarter and scale faster

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34