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YouTube-Kommentar-Sentiment-Analysator

Experte

Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 16 Nodes. Hauptsächlich werden If, Set, SplitOut, HttpRequest, GoogleSheets und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. 🚀 YouTube-Kommentar-Sentiment-Analyse (mit Google Sheets und OpenAI)

Voraussetzungen
  • •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • •Google Sheets API-Anmeldedaten
  • •OpenAI API Key

Verwendete Nodes (16)

If
Set
NoOp
SplitOut
StickyNote
HttpRequest
GoogleSheets
ManualTrigger
LmChatOpenAi
SentimentAnalysis

Kategorie

Künstliche Intelligenz
Marketing
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
React Flow
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
  "id": "xaC6zL4bWBo14xyJ",
  "meta": {
    "instanceId": "10f6e8a86649316fe7041c503c24e6d77b68a961a9f4f1f76d0100c435446092",
    "templateCredsSetupCompleted": true
  },
  "name": "YouTube Comment Sentiment Analyzer",
  "tags": [],
  "nodes": [
    {
      "id": "0bacd739-7ea3-42f5-8986-2f7d47628ee9",
      "name": "Aufteilen",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "body.items"
      },
      "typeVersion": 1
    },
    {
      "id": "236aaaab-6a9a-42d7-8645-980bf8c3254d",
      "name": "OpenAI Chat-Modell",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1080,
        180
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "4d73v7kxEDNu3n25",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "c1eda3a6-9fbe-4150-8086-c3ffebaeb2e1",
      "name": "Keine Operation, nichts tun",
      "type": "n8n-nodes-base.noOp",
      "position": [
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      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "d28f3fbf-6013-47af-ba84-3bdd9800fd3b",
      "name": "Video-URLs aus Google Sheet abrufen",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -200,
        -40
      ],
      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 760258523,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit#gid=760258523",
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          "cachedResultName": "Youtube Videos Comments"
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      "credentials": {
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              "leftValue": "={{ $json.next_fetch_time }}",
              "rightValue": "={{ $now.toISO() }}"
            }
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      "typeVersion": 2.2
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    {
      "id": "ba42f450-3b0c-41a3-8e72-d2a38b97cfc7",
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              "leftValue": "={{ $json.next_fetch_time }}",
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            }
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      },
      "typeVersion": 2.2
    },
    {
      "id": "aad11f42-b976-41d7-b771-151da60391d6",
      "name": "Kommentare für Video-URLs abrufen",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      "parameters": {
        "url": "https://www.googleapis.com/youtube/v3/commentThreads",
        "options": {
          "response": {
            "response": {
              "fullResponse": true,
              "responseFormat": "json"
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          },
          "pagination": {
            "pagination": {
              "parameters": {
                "parameters": [
                  {
                    "name": "pageToken",
                    "value": "={{ $response.body.nextPageToken }}"
                  }
                ]
              },
              "completeExpression": "={{ !$response.body.nextPageToken}}",
              "paginationCompleteWhen": "other"
            }
          }
        },
        "sendQuery": true,
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "part",
              "value": "snippet"
            },
            {
              "name": "videoId",
              "value": "={{ $json[\"video_urls\"].match(/(?:v=|\\/)([0-9A-Za-z_-]{11})/)[1] || ''}}"
            },
            {
              "name": "maxResults",
              "value": "100"
            }
          ]
        }
      },
      "credentials": {
        "httpQueryAuth": {
          "id": "LmsYEaslJmA6CMdL",
          "name": "Query Auth account 4"
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      },
      "typeVersion": 4.2
    },
    {
      "id": "4cf1ebd0-e260-4e53-bc26-be1db2f6e7f2",
      "name": "Sentiment jedes Kommentars analysieren",
      "type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
      "position": [
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      ],
      "parameters": {
        "options": {
          "categories": "Positive, Neutral, Negative",
          "systemPromptTemplate": "You are highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON."
        },
        "inputText": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
      },
      "typeVersion": 1
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    {
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      "name": "Felder für Speicherung in google Sheet formatieren",
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      "parameters": {
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        "assignments": {
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              "type": "string",
              "value": "={{ $json.snippet.topLevelComment.id }}"
            },
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              "name": "video_url",
              "type": "string",
              "value": "=https://www.youtube.com/watch?v={{ $json.snippet.videoId }}"
            },
            {
              "id": "cdcbc3d9-ab3e-4d7d-80a7-bfe168b0ed27",
              "name": "comment",
              "type": "string",
              "value": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
            },
            {
              "id": "20bcfe96-3904-44d2-b72a-9eb49d603c8d",
              "name": "authorName",
              "type": "string",
              "value": "={{ $json.snippet.topLevelComment.snippet.authorDisplayName }}"
            },
            {
              "id": "c92f56bf-8b37-4c4e-9ce7-b7a49d63deee",
              "name": "likes",
              "type": "string",
              "value": "={{ $json.snippet.topLevelComment.snippet.likeCount }}"
            },
            {
              "id": "7cc4fdb3-7c41-418a-bf4f-71081fe9df74",
              "name": "reply",
              "type": "string",
              "value": "={{ $json.snippet.totalReplyCount }}"
            },
            {
              "id": "9988ea66-7f31-4b2c-90ab-3cad8efabf95",
              "name": "sentiment",
              "type": "string",
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              "name": "published_at",
              "type": "string",
              "value": "={{ $json.snippet.topLevelComment.snippet.publishedAt }}"
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      "typeVersion": 3.4
    },
    {
      "id": "6cd20a6e-8bcc-44c7-a62d-e3c3c75e6d9a",
      "name": "Kommentare in google Sheet einfügen und aktualisieren",
      "type": "n8n-nodes-base.googleSheets",
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              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "commentId",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "display": true,
              "required": false,
              "displayName": "video_url",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "comment",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "comment",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "authorName",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "authorName",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "likes",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "likes",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "reply",
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              "display": true,
              "required": false,
              "displayName": "reply",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
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              "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": "autoMapInputData",
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          "attemptToConvertTypes": false,
          "convertFieldsToString": false
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        "options": {},
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        "sheetName": {
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          "value": "gid=0",
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          "cachedResultName": "Youtube Videos Comments"
        },
        "authentication": "serviceAccount"
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      "parameters": {
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            "next_fetch_time": "={{ $now.plus(5, 'min').toISO() }}",
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    {
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      "parameters": {
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        "content": "\n# 🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI"
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      "parameters": {
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        "content": "### **How to Use This Workflow:**\n📝 **YouTube Comment Sentiment Analyzer**\n\n1. 🔘 **Trigger:** Click \"Execute Workflow\" to run it manually.\n\n2. 📄 Your Google Sheet should have **2 sheets**:\n   - **Sheet1 (Results with Sentiment):**\n     - Column A: `commentId` (YouTube comment id)\n     - Column B: `video_url` (url of video)\n     - Column C: `comment` (YouTube comment)\n     - Column D: `authorName` (Name of author as per Youtube)\n     - Column E: `likes` (Number of likes on that particular comment)\n     - Column f: `reply` (Number of replies on that particular comment)\n     - Column g: `sentiment` (Analyzed sentiment of the comment)\n     - Column h: `published_at` (timestamp of comment published)\n   \n   - **Sheet2 (Video URLs):**\n     - Column A: `video_urls` (list of YouTube video URLs)\n     - Column B: `last_fetched_time` (timestamp of the last fetch)\n     - Column C: `next_fetch_time` (time for the next fetch)\n\n3. 🔐 **Make sure these credentials are set up**:\n   - Google Sheets (Service Account)\n   - YouTube Data API v3\n   - OpenAI API Key (for sentiment analysis)\n\n4. ✅ **What this workflow does**:\n   - Reads **video URLs** from **Sheet2**.\n   - Checks **last fetched time** (if applicable).\n   - Fetches new comments from YouTube.\n   - Analyzes sentiment using OpenAI.\n   - Appends **comment**, **sentiment**, **video ID**, and **timestamp** to **Sheet1**.\n   - Updates **last_fetched** timestamp in **Sheet2**.\n\n5. 💡 **Tip:**\n   - You can replace the **Manual Trigger** with a **Cron node** for automatic execution at specified intervals.\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
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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 - Künstliche Intelligenz, Marketing

Ist es kostenpflichtig?

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

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Autor
Aayushman Sharma

Aayushman Sharma

@ajstyle0411
Externe Links
Auf n8n.io ansehen →

Diesen Workflow teilen

Kategorien

Multimodales KI
1540
Künstliche Intelligenz
1108
Content-Erstellung
695
KI-Zusammenfassung
516
Marketing
419
KI-Chatbot
251
Engineering
241
Marktforschung
203
Verschiedenes
193
Sonstiges
176
Vertrieb
162
IT-Betrieb
156
Dokumentenextraktion
147
KI RAG
146
Bausteine
144
Soziale Medien
137
Lead-Generierung
125
Persönliche Produktivität
117
DevOps
111
Personalwesen
101
Support
97
Lead-Pflege
87
Kundenbeziehungsmanagement
82
Finanzen
81
Produkt
77
Support-Chatbot
76
Design
70
Ticketverwaltung
67
Sicherheitsbetrieb
57
Rechnungsverarbeitung
53
Krypto-Handel
49
Dateiverwaltung
39
Projektmanagement
35
Internes Wiki
32

Kategorien: 34