🎥 Utilisation de Google Gemini AI pour analyser les vidéos YouTube et obtenir des résumés, des transcriptions de texte et du contenu

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Ceci est unAIworkflow d'automatisation du domainecontenant 33 nœuds.Utilise principalement des nœuds comme Set, Code, Form, Gmail, Merge, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. 🎥 utilisation Google Gemini AI analyse YouTube 视频obtenir摘要、转录文本etcontenu

Prérequis
  • Compte Google et informations d'identification Gmail API
  • Informations d'identification Google Drive API
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
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
{
  "id": "LIAes1kWVZAWZBX2",
  "meta": {
    "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef",
    "templateCredsSetupCompleted": true
  },
  "name": "🎥 Analyze YouTube Video for Summaries, Transcripts & Content + Google Gemini AI",
  "tags": [],
  "nodes": [
    {
      "id": "6d96092e-a12e-42e7-9700-63d19c3f2403",
      "name": "Config",
      "type": "n8n-nodes-base.set",
      "position": [
        2760,
        540
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "24e9b1c3-2955-4e0b-9b4b-a6b9d046fb72",
              "name": "google_api_key",
              "type": "string",
              "value": "={{ $env.GOOGLE_API_KEY }}"
            },
            {
              "id": "b6600a42-1b8d-486a-a51d-0868bc45452e",
              "name": "youtube_url",
              "type": "string",
              "value": "=https://www.youtube.com/watch?v={{ $json[\"YouTube Video Id\"] }}"
            },
            {
              "id": "ce9a9a40-5ae4-4106-ae61-0daba2ec185f",
              "name": "prompt_type",
              "type": "string",
              "value": "={{ $json[\"Prompt Type\"] }}"
            },
            {
              "id": "47094d96-2e89-4294-b6da-7ee66917bd98",
              "name": "video_id",
              "type": "string",
              "value": "={{ $json[\"YouTube Video Id\"] }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4b4373dd-6b54-41c5-a490-91ec78afdb0b",
      "name": "Note adhésive 2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2320,
        760
      ],
      "parameters": {
        "width": 300,
        "height": 600,
        "content": "### Prompt Options\n\n- **default**: Summarizes the video with emphasis on actionable insights, tools, strategies, and resources mentioned.\n\n- **transcribe**: Provides verbatim transcription of all spoken dialogue in the video without additional commentary.\n\n- **timestamps**: Creates a timestamped transcript of the video dialogue in [hh:mm:ss] format.\n\n- **summary**: Generates a concise bullet-point summary of the video's main points.\n\n- **scene**: Provides a comprehensive visual description of the video scene including setting, objects, people, lighting, colors, and camera techniques.\n\n- **clips**: Identifies shareable video segments with timestamps, transcripts, and explanations of their social media appeal.\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "41605c14-9936-43f2-8f06-c411bfddda99",
      "name": "Note adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2660,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Set Workflow Config Variables"
      },
      "typeVersion": 1
    },
    {
      "id": "fdc9aeb2-35b4-4f33-9438-00a10f0cb0d5",
      "name": "Obtenir les métadonnées de l'audience vidéo",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        3440,
        540
      ],
      "parameters": {
        "url": "=https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={{ $('Config').item.json.google_api_key }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={{ JSON.stringify({\n  \"contents\": [\n    {\n      \"role\": \"user\",\n      \"parts\": [\n        {\n          \"text\": $json.meta_prompt\n        },\n        { \n          \"file_data\": { \n            \"file_uri\": $('Config').item.json.youtube_url\n          } \n        }\n      ]\n    }\n  ],\n  \"generationConfig\": {\n    \"temperature\": 0.2,\n    \"topP\": 0.8,\n    \"topK\": 40,\n    \"maxOutputTokens\": 2048,\n  },\n  \"model\": \"gemini-1.5-flash\"\n}) }}\n",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "8cd500b5-7c78-4ae0-be2a-79862e599da3",
      "name": "Composer les invites",
      "type": "n8n-nodes-base.set",
      "position": [
        2760,
        980
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "90bd636a-aa19-4f6b-80b3-bb236f29b317",
              "name": "content",
              "type": "string",
              "value": "=<default>\n<prompt>\nCreate a practical summary of this {{ $json.text.content_purpose }} about {{ $json.text.key_topics[0] }} for busy professionals in a {{ $json.text.video_tone }} tone seeking actionable takeaways. Use a structured format with primary and secondary bullets. Highlight specific tools, methodologies, and resources mentioned, including direct quotes when they provide valuable context.  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</default>\n\n<transcribe>\n<prompt>\nAct as a professional transcriptionist and transcribe this {{ $json.text.video_type }} video verbatim. Include only spoken dialogue, maintaining speech patterns and verbal tics. Omit background sounds, music, or descriptions.  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</transcribe>\n\n<timestamps>\n<prompt>\nCreate a professional timestamped transcript of this {{ $json.text.video_type }} video for {{ $json.text.primary_audience }}. Format each entry exactly as [hh:mm:ss] Dialogue. Capture speaker changes and significant pauses. Prioritize accuracy over completeness.  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</timestamps>\n\n<summary>\n<prompt>\nAnalyze this {{ $json.text.video_type }} video and create a concise summary (approximately 150 words) for {{ $json.text.primary_audience }}. Use nested bullets to organize key points. Include direct quotes only when they significantly enhance understanding. Begin immediately with the content.  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</summary>\n\n<scene>\n<prompt>\nAs a professional video production analyst, describe this scene comprehensively for {{ $json.text.content_purpose }}. Focus on setting, objects, people, lighting, colors, and camera techniques that contribute most to the scene's impact. Be specific with visual details that would matter to {{ $json.text.primary_audience }}.  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</scene>\n\n<clips>\n<prompt>\nIdentify 3-5 high-engagement segments from this video specifically for {{ $json.text.best_social_platforms }} users interested in {{ $json.text.key_topics }}. For each clip, provide exact timestamps [hh:mm:ss-hh:mm:ss], verbatim transcript, and a compelling rationale focused on virality potential (shares, comments, saves).  Provide only the response and avoid any preamble text or further explanations.\n</prompt>\n<model>\ngemini-1.5-flash\n</model>\n</clips>\n\n\n\n\n"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "8f80f2f1-c46c-45ef-8468-0eb7dda2814e",
      "name": "Extraire l'objet de métadonnées",
      "type": "n8n-nodes-base.set",
      "position": [
        3780,
        540
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "e1a2e48b-0190-4f13-bf3f-8e74cbc8ab65",
              "name": "text",
              "type": "object",
              "value": "={{ $json.candidates[0].content.parts[0].text.replaceAll('```json', '').replaceAll('```', '') }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "b1065050-1a32-423e-b15f-0cef3f377ae6",
      "name": "Obtenir l'invite par type d'invite",
      "type": "n8n-nodes-base.code",
      "position": [
        3100,
        980
      ],
      "parameters": {
        "jsCode": "// Get the XML content from the input\nconst xmlContent = $input.first().json.content;\n\n// Get the tag name from the Config node\nconst tagName = $node[\"Config\"].json.prompt_type;\n\n// Create regex patterns for both prompt and model within the main tag\nconst promptRegex = new RegExp(`<${tagName}>[\\\\s\\\\S]*?<prompt>([\\\\s\\\\S]*?)</prompt>[\\\\s\\\\S]*?</${tagName}>`, \"i\");\nconst modelRegex = new RegExp(`<${tagName}>[\\\\s\\\\S]*?<model>([\\\\s\\\\S]*?)</model>[\\\\s\\\\S]*?</${tagName}>`, \"i\");\n\n// Use the match method to apply the regex patterns\nconst promptMatch = xmlContent.match(promptRegex);\nconst modelMatch = xmlContent.match(modelRegex);\n\n// Create the output item with proper structure\nlet outputItem = {\n  json: {\n    prompt: null,\n    model: null\n  }\n};\n\n// Extract prompt content if found\nif (promptMatch) {\n  outputItem.json.prompt = promptMatch[1].trim();\n}\n\n// Extract model content if found\nif (modelMatch) {\n  outputItem.json.model = modelMatch[1].trim();\n}\n\n// Return the properly structured item\nreturn [outputItem];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a66e5240-ad86-47df-8a23-d45eb31e41ce",
      "name": "Définir l'invite de métadonnées d'audience",
      "type": "n8n-nodes-base.set",
      "position": [
        3100,
        540
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "c3524064-c7fb-4f63-8421-f18f35cf5556",
              "name": "meta_prompt",
              "type": "string",
              "value": "=Analyze this YouTube video and extract key metadata to help optimize AI-generated content about it. Return ONLY a valid JSON object with the following fields:\n\n{\n  \"video_type\": \"The video format/genre (tutorial, vlog, review, interview, etc.)\",\n  \"primary_audience\": \"The main target audience based on content, language, and presentation style\",\n  \"secondary_audiences\": [\"List of 2-3 other potential audience segments\"],\n  \"content_purpose\": \"The main goal of the video (educate, entertain, persuade, etc.)\",\n  \"key_topics\": [\"3-5 main topics or themes covered\"],\n  \"best_social_platforms\": [\"2-3 platforms where clips would perform best\"],\n  \"video_tone\": \"Overall tone (professional, casual, humorous, serious, etc.)\",\n  \"engagement_drivers\": [\"2-3 aspects that would drive viewer engagement\"]\n}\n\nFocus on objective analysis of visual and verbal cues. Do not include subjective quality assessments.\n\nReturn your response as a valid JSON object without any markdown formatting, code blocks, or explanatory text.  Always remove all ```json and ``` from final response.  Avoid all preamble or further explanation.\n"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "cdb4ec99-37ac-45ae-9d5c-80851e992488",
      "name": "Note adhésive 4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3340,
        420
      ],
      "parameters": {
        "color": 3,
        "width": 300,
        "height": 300,
        "content": "## Analyze YouTube Video for Audience MetaData"
      },
      "typeVersion": 1
    },
    {
      "id": "904938e4-4242-4a90-b124-fe0ba10ee4ec",
      "name": "Note adhésive 5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3340,
        860
      ],
      "parameters": {
        "color": 3,
        "width": 300,
        "height": 300,
        "content": "## Get YouTube Information by Prompt Type"
      },
      "typeVersion": 1
    },
    {
      "id": "942789bd-ab7c-432c-9916-f1fdb5344e1e",
      "name": "Note adhésive 7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3000,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Define Audience Meta Prompt"
      },
      "typeVersion": 1
    },
    {
      "id": "4c032c02-3eb7-48d1-8a74-75db0e02fe24",
      "name": "Note adhésive 8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3680,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Extract MetaData Object"
      },
      "typeVersion": 1
    },
    {
      "id": "58e23d26-8cb1-4819-9d29-0658e8b7a95b",
      "name": "Note adhésive 9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2660,
        860
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Compose the Prompts with Audience MetaData"
      },
      "typeVersion": 1
    },
    {
      "id": "ecadd3a9-7ce4-433d-9a04-76ebe4ba3875",
      "name": "Note adhésive 10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3000,
        860
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Get Prompt by Prompt Type"
      },
      "typeVersion": 1
    },
    {
      "id": "a00048cb-e30c-4b14-9dd3-b986d2ee5f9c",
      "name": "Obtenir les informations YouTube par type d'invite",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        3440,
        980
      ],
      "parameters": {
        "url": "=https://generativelanguage.googleapis.com/v1beta/models/{{ $json.model }}:generateContent?key={{$('Config').item.json.google_api_key }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [{\n    \"parts\": [\n      { \"text\": {{ JSON.stringify($json.prompt) }} },\n      { \"file_data\": { \n          \"file_uri\": \"{{ $('Config').item.json.youtube_url }}\" \n        } \n      }\n    ]\n  }]\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "a071b040-9091-4081-aedd-d8e8b9166568",
      "name": "Note adhésive 1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2320,
        420
      ],
      "parameters": {
        "color": 4,
        "width": 300,
        "height": 300,
        "content": "## 👍Try Me!\nYouTube Video Id: wBuULAoJxok"
      },
      "typeVersion": 1
    },
    {
      "id": "e243fe41-26fe-48d3-b215-20e033a0c0aa",
      "name": "Enregistrer dans Google Drive en tant que fichier texte",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        3780,
        1320
      ],
      "parameters": {
        "name": "={{ $('Start Workflow').item.json['YouTube Video Id'] }} - {{ $now }}",
        "content": "={{ $('Start Workflow').item.json['YouTube Video Id'] }} - {{ $now }}\n\n{{ $('Extract MetaData Object').item.json.text.key_topics[0] }}\n{{ $('Extract MetaData Object').item.json.text.content_purpose }}\n{{ $('Extract MetaData Object').item.json.text.primary_audience }}\n\n{{ $json.candidates[0].content.parts[0].text }}\n\nVideo Details:\n{{ $('Merge').item.json.items.toJsonString() }}",
        "driveId": {
          "__rl": true,
          "mode": "list",
          "value": "My Drive"
        },
        "options": {},
        "folderId": {
          "__rl": true,
          "mode": "list",
          "value": "root",
          "cachedResultName": "/ (Root folder)"
        },
        "operation": "createFromText"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "UhdXGYLTAJbsa0xX",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "87ad7860-a364-406a-999b-5b9f9ef356e0",
      "name": "Envoyer vers Gmail en HTML",
      "type": "n8n-nodes-base.gmail",
      "position": [
        4120,
        1320
      ],
      "webhookId": "ccf34c87-14a3-4103-96fb-595cf9fa0636",
      "parameters": {
        "sendTo": "={{ $env.EMAIL_ADDRESS_JOE }}",
        "message": "=<p>{{ $('Merge').item.json.items[0].snippet.title }}</p>\n<p>{{ $('Merge').item.json.items[0].id }}</p>\n\n<img src=\"{{ $('Merge').item.json.items[0].snippet.thumbnails.medium.url }}\">\n\n{{ $json.data }}",
        "options": {
          "appendAttribution": false
        },
        "subject": "={{ $('Start Workflow').item.json['YouTube Video Id'] }} - {{ $('Extract MetaData Object').item.json.text.key_topics[0] }}"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "1xpVDEQ1yx8gV022",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "d42e0de6-560e-4aa0-b2a5-8b79d84b660a",
      "name": "Convertir Markdown en HTML",
      "type": "n8n-nodes-base.markdown",
      "position": [
        3780,
        980
      ],
      "parameters": {
        "mode": "markdownToHtml",
        "options": {},
        "markdown": "={{ $json.candidates[0].content.parts[0].text }}"
      },
      "typeVersion": 1
    },
    {
      "id": "3f5cac85-ee4d-45a5-9a95-07fc6e195bd8",
      "name": "Fournir les informations YouTube à l'utilisateur en HTML",
      "type": "n8n-nodes-base.form",
      "position": [
        4120,
        980
      ],
      "webhookId": "49b5f9c9-e4c2-4cc4-b01c-c27b1cdba918",
      "parameters": {
        "operation": "completion",
        "respondWith": "showText",
        "responseText": "=<img src=\"{{ $('Merge').item.json.items[0].snippet.thumbnails.medium.url }}\">\n\n{{ $json.data }}\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8f0ed7d9-9b78-49d2-858a-34418e1ee517",
      "name": "Note adhésive 3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3340,
        320
      ],
      "parameters": {
        "color": 5,
        "width": 300,
        "height": 100,
        "content": "## Google Generative Language API"
      },
      "typeVersion": 1
    },
    {
      "id": "271816a9-9e1a-4b4d-afe5-94f3023c9337",
      "name": "Note adhésive 6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3340,
        760
      ],
      "parameters": {
        "color": 5,
        "width": 300,
        "height": 100,
        "content": "## Google Generative Language API"
      },
      "typeVersion": 1
    },
    {
      "id": "ba68bd32-0f4b-4ce0-9af6-3dc87b8ae5ea",
      "name": "Note adhésive 11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3680,
        860
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Convert Markdown to HTML"
      },
      "typeVersion": 1
    },
    {
      "id": "b69d97a9-748e-430a-b1af-5befecb226a3",
      "name": "Note adhésive 12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3680,
        1200
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Save YouTube Information to Google Drive"
      },
      "typeVersion": 1
    },
    {
      "id": "3a0bca9c-56da-4425-b719-3e2ccb1cd1d8",
      "name": "Note adhésive 13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4020,
        1200
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Email YouTube Information"
      },
      "typeVersion": 1
    },
    {
      "id": "004154f2-ac1a-4b79-a5f8-3af0959cc3ce",
      "name": "Note adhésive 14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4020,
        860
      ],
      "parameters": {
        "color": 4,
        "width": 300,
        "height": 300,
        "content": "## Provide YouTube Information in Completion Form"
      },
      "typeVersion": 1
    },
    {
      "id": "f815a2f5-2e12-40bf-8849-30429344afae",
      "name": "Note adhésive 15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2280,
        -120
      ],
      "parameters": {
        "color": 7,
        "width": 2080,
        "height": 1660,
        "content": "# 🎥 Analyze YouTube Video for Summaries, Transcripts & Content + Google Gemini"
      },
      "typeVersion": 1
    },
    {
      "id": "dbbae73b-735b-4bb8-bcad-6266c08d9fae",
      "name": "Démarrer le workflow",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        2420,
        540
      ],
      "webhookId": "92148b0b-bbf7-4ce9-80a2-768207adee7b",
      "parameters": {
        "options": {},
        "formTitle": "Extract Information from YouTube Videos",
        "formFields": {
          "values": [
            {
              "fieldType": "dropdown",
              "fieldLabel": "Prompt Type",
              "fieldOptions": {
                "values": [
                  {
                    "option": "default"
                  },
                  {
                    "option": "transcribe"
                  },
                  {
                    "option": "timestamps"
                  },
                  {
                    "option": "summary"
                  },
                  {
                    "option": "scene"
                  },
                  {
                    "option": "clips"
                  }
                ]
              },
              "requiredField": true
            },
            {
              "fieldLabel": "YouTube Video Id",
              "placeholder": "wBuULAoJxok",
              "requiredField": true
            }
          ]
        },
        "responseMode": "lastNode",
        "formDescription": "This workflow allows you to extract various types of actionable information from YouTube videos that is audience specific using dynamically composed prompts."
      },
      "typeVersion": 2.2
    },
    {
      "id": "c63d236c-99d5-43f6-825e-836ddd41ad6f",
      "name": "Créer l'URL YouTube API",
      "type": "n8n-nodes-base.code",
      "position": [
        3100,
        100
      ],
      "parameters": {
        "jsCode": "// Define the base URL for the YouTube Data API\nconst BASE_URL = 'https://www.googleapis.com/youtube/v3/videos';\n\n// Get the first input item\nconst item = $input.first();\n\n// Extract the videoId and google_api_key from the input JSON\nconst VIDEO_ID = item.json.video_id;\nconst GOOGLE_API_KEY = item.json.google_api_key; // Dynamically retrieve API key\n\nif (!VIDEO_ID) {\n  throw new Error('The video ID parameter is empty.');\n}\n\nif (!GOOGLE_API_KEY) {\n  throw new Error('The Google API Key is missing.');\n}\n\n// Construct the API URL with the video ID and dynamically retrieved API key\nconst youtubeUrl = `${BASE_URL}?part=snippet,contentDetails,status,statistics,player,topicDetails&id=${VIDEO_ID}&key=${GOOGLE_API_KEY}`;\n\n// Return the constructed URL\nreturn [\n  {\n    json: {\n      youtubeUrl: youtubeUrl,\n    },\n  },\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "17daf9d1-4bee-4632-b929-0696e71b9fa2",
      "name": "Obtenir les détails de la vidéo YouTube",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        3440,
        100
      ],
      "parameters": {
        "url": "={{ $json.youtubeUrl }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "42b45f4c-9447-4ffa-ae7f-ffa68de395ba",
      "name": "Note adhésive 16",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3340,
        -20
      ],
      "parameters": {
        "color": 3,
        "width": 300,
        "height": 300,
        "content": "## Get YouTube Video Details"
      },
      "typeVersion": 1
    },
    {
      "id": "3f3a5e5a-5c15-42a0-81d5-53248b76495e",
      "name": "Fusionner",
      "type": "n8n-nodes-base.merge",
      "position": [
        4100,
        540
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3
    },
    {
      "id": "377870dd-7dfe-49dc-a444-67017a97e8c8",
      "name": "Note adhésive 17",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3000,
        -20
      ],
      "parameters": {
        "color": 7,
        "width": 300,
        "height": 300,
        "content": "## Create YouTube API URL"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "45041f00-7c30-4490-aa2b-807bcb91ca2b",
  "connections": {
    "3f3a5e5a-5c15-42a0-81d5-53248b76495e": {
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    "6d96092e-a12e-42e7-9700-63d19c3f2403": {
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    },
    "dbbae73b-735b-4bb8-bcad-6266c08d9fae": {
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    "8f80f2f1-c46c-45ef-8468-0eb7dda2814e": {
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        [
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            "type": "main",
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    },
    "d42e0de6-560e-4aa0-b2a5-8b79d84b660a": {
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            "index": 0
          },
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    "b1065050-1a32-423e-b15f-0cef3f377ae6": {
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    "fdc9aeb2-35b4-4f33-9438-00a10f0cb0d5": {
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    "a00048cb-e30c-4b14-9dd3-b986d2ee5f9c": {
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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 - Intelligence Artificielle

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 nœuds33
Catégorie1
Types de nœuds10
Description de la difficulté

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

Auteur
Joseph LePage

Joseph LePage

@joe

As an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34