Analizador de comentarios de espectadores de YouTube

Avanzado

Este es unMarket Research, AI Summarizationflujo de automatización del dominio deautomatización que contiene 17 nodos.Utiliza principalmente nodos como If, SplitOut, HttpRequest, GoogleSheets, ManualTrigger. Usar Gemini AI para analizar el sentimiento de los comentarios de YouTube y guardar en Google Sheets

Requisitos previos
  • Pueden requerirse credenciales de autenticación para la API de destino
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI
  • Clave de API de Google Gemini
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "IJ4YYLsaOiD1z9Oz",
  "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": "Dividir",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        900,
        220
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "body.items"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "1c93def0-47b9-498c-84bb-18b945cc5ecf",
      "name": "OpenAI Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1500,
        180
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "qULV9xA6eq3tfpye",
          "name": "OpenAi - nhu.le"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "40976cd9-49d0-44eb-9ef9-55d7a864df54",
      "name": "Al hacer clic en 'Probar flujo de trabajo'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -360,
        220
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "69c74c11-d4a5-4b27-9058-60ad46f9421c",
      "name": "HTTP Solicitud - Obtener Comentarios",
      "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": "={{ $response.body.nextPageToken }}"
                  }
                ]
              },
              "completeExpression": "={{ !$response.body.nextPageToken}}",
              "paginationCompleteWhen": "other"
            }
          }
        },
        "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"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "7148ceec-b9c2-41ab-9e23-092b28d7bdc4",
      "name": "Iterar sobre Elementos",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        320,
        220
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "40dba5d2-e175-443d-a417-45bdec5e84ec",
      "name": "Nota Adhesiva",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1180,
        -320
      ],
      "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"
      },
      "typeVersion": 1
    },
    {
      "id": "44b7e7f9-dab4-41d2-b0fd-c985da58480c",
      "name": "Google Gemini Modelo de Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1320,
        180
      ],
      "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": "Verificar si la URL del Video no está Vacía",
      "type": "n8n-nodes-base.if",
      "position": [
        100,
        220
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "92084960-e023-4cd6-a5c0-ddd43275cc33",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.video_url }}",
              "rightValue": "={{ $now.toISO() }}"
            }
          ]
        },
        "looseTypeValidation": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "cffd5351-827e-4d85-84dd-892ae135aa12",
      "name": "Verificar si - Respuesta Exitosa",
      "type": "n8n-nodes-base.if",
      "position": [
        700,
        220
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "bce76f94-5904-4fdb-b172-adc1134855f9",
              "operator": {
                "type": "number",
                "operation": "equals"
              },
              "leftValue": "={{ $json.statusCode }}",
              "rightValue": 200
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "445564ea-a3f1-45cb-b887-85bbcf43dd7c",
      "name": "Verificar si - El Comentario Existe",
      "type": "n8n-nodes-base.if",
      "position": [
        1120,
        220
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "e4d47098-097d-4fd7-9703-638858f9565a",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.snippet.videoId }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "c4971a87-2a5e-428a-8e8f-b82afb4f403d",
      "name": "Actualizar Estado del Video",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1720,
        460
      ],
      "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', ' ') }}"
          },
          "schema": [
            {
              "id": "status",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "status",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "video_url",
              "type": "string",
              "display": true,
              "removed": true,
              "required": false,
              "displayName": "video_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "last_fetched_time",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "last_fetched_time",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "row_number",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": true,
              "required": false,
              "displayName": "row_number",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [
            "row_number"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 426418282,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit#gid=426418282",
          "cachedResultName": "Video URLs"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit?usp=drivesdk",
          "cachedResultName": "YouTube - Audience Feedback Sentiment Analyzer"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "pe6UD1A6MWIk2X91",
          "name": "Google Sheets - toan.ngo"
        }
      },
      "executeOnce": true,
      "typeVersion": 4.5
    },
    {
      "id": "9dffad3c-5940-4623-b6dc-b704a3866e53",
      "name": "Obtener URLs de Video",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -140,
        220
      ],
      "parameters": {
        "options": {},
        "filtersUI": {
          "values": [
            {
              "lookupValue": "=Ready",
              "lookupColumn": "status"
            }
          ]
        },
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 426418282,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit#gid=426418282",
          "cachedResultName": "Video URLs"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit?usp=drivesdk",
          "cachedResultName": "YouTube - Audience Feedback Sentiment Analyzer"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "pe6UD1A6MWIk2X91",
          "name": "Google Sheets - toan.ngo"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "6b1f966b-342a-4f37-80e4-179e207ec421",
      "name": "Insertar Datos y Análisis del Comentario",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1740,
        120
      ],
      "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', ' ') }}"
          },
          "schema": [
            {
              "id": "video_url",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "video_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comment_id",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "comment_id",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "comment",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "author_name",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "author_name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "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 "
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/18-3CmJPbC73MycmNiSWotdsyGBAAzqESf33vktwnYmM/edit?usp=drivesdk",
          "cachedResultName": "YouTube - Audience Feedback Sentiment Analyzer"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "pe6UD1A6MWIk2X91",
          "name": "Google Sheets - toan.ngo"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "0596acb0-ba5a-43cd-8957-ceefd7297d76",
      "name": "Agente de IA - Analizar Sentimiento de Cada Comentario",
      "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": "Nota Adhesiva1",
      "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": "Nota Adhesiva3",
      "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": "Nota Adhesiva2",
      "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"
  },
  "versionId": "1763a723-5e69-4d7d-ac35-664c14ddf023",
  "connections": {
    "ecd26999-0115-4739-b02c-65801a35eb51": {
      "main": [
        [
          {
            "node": "445564ea-a3f1-45cb-b887-85bbcf43dd7c",
            "type": "main",
            "index": 0
          }
        ]
      ]
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Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Investigación de mercado, Resumen de IA

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos17
Categoría2
Tipos de nodos10
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
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

Enlaces externos
Ver en n8n.io

Compartir este flujo de trabajo

Categorías

Categorías: 34