YouTube-Publikums-Kommentar-Analyse-Tools

Experte

Dies ist ein Market Research, AI Summarization-Bereich Automatisierungsworkflow mit 17 Nodes. Hauptsächlich werden If, SplitOut, HttpRequest, GoogleSheets, ManualTrigger und andere Nodes verwendet. Gemini AI zur Analyse der sentiment-Analyse der YouTube-Kommentare und zum Speichern in Google Sheets verwenden

Voraussetzungen
  • Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • Google Sheets API-Anmeldedaten
  • OpenAI API Key
  • Google Gemini API Key
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "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": "Aufteilen",
      "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 Chat Model",
      "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": "Beim Klicken auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -360,
        220
      ],
      "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": "={{ $response.body.nextPageToken }}"
                  }
                ]
              },
              "completeExpression": "={{ !$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": "Über Elemente iterieren",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        320,
        220
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "40dba5d2-e175-443d-a417-45bdec5e84ec",
      "name": "Haftnotiz",
      "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 Chat Model",
      "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": "Prüfen, ob Video-URL nicht leer ist",
      "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": "Prüfen, ob - Erfolgsantwort",
      "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": "Prüfen, ob - Kommentar existiert",
      "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": "Video-Status aktualisieren",
      "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": "Video-URLs abrufen",
      "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": "Kommentardaten & Analyse einfügen",
      "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": "KI-Agent - Stimmung jedes Kommentars analysieren",
      "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": "Haftnotiz1",
      "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": "Haftnotiz3",
      "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": "Haftnotiz2",
      "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
          }
        ]
      ]
    },
    "9dffad3c-5940-4623-b6dc-b704a3866e53": {
      "main": [
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}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

Für welche Szenarien ist dieser Workflow geeignet?

Experte - Marktforschung, KI-Zusammenfassung

Ist es kostenpflichtig?

Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes17
Kategorie2
Node-Typen10
Schwierigkeitsbeschreibung

Für fortgeschrittene Benutzer, komplexe Workflows mit 16+ Nodes

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

Externe Links
Auf n8n.io ansehen

Diesen Workflow teilen

Kategorien

Kategorien: 34