Automatisation YouTube avec n8n : analyse de vidéos et résumés
- Ce workflow n8n est conçu pour automatiser l'analyse de vidéos YouTube en générant des résumés, des transcriptions et du contenu pertinent, tout en intégrant l'intelligence artificielle de Google Gemini. Dans un contexte où les entreprises cherchent à optimiser leur contenu vidéo pour améliorer l'engagement et la compréhension des utilisateurs, ce workflow répond à un besoin croissant d'automatisation dans la gestion de contenu. Les cas d'usage incluent la création de résumés pour des présentations, l'extraction de points clés pour des articles de blog ou la préparation de contenu pour des réseaux sociaux.
- Le workflow débute par un déclencheur de formulaire, permettant à l'utilisateur de soumettre une vidéo YouTube. Ensuite, il utilise plusieurs nœuds pour récupérer les métadonnées de la vidéo via des requêtes HTTP, et compose des prompts adaptés pour l'intelligence artificielle. Les nœuds de type 'Sticky Note' sont utilisés pour annoter et structurer les informations tout au long du processus. Le contenu généré est ensuite converti en HTML et peut être envoyé par email ou sauvegardé sur Google Drive. Ce processus permet non seulement de gagner du temps, mais aussi d'assurer une cohérence dans la production de contenu basé sur des vidéos.
- En intégrant ce workflow, les entreprises peuvent réduire le temps passé sur l'analyse manuelle des vidéos, minimiser les erreurs humaines et améliorer la qualité du contenu diffusé. L'automatisation n8n offre ainsi une valeur ajoutée significative en permettant une gestion efficace et rapide des ressources vidéo.
Workflow n8n YouTube, intelligence artificielle, contenu : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n YouTube, intelligence artificielle, contenu : détail des nœuds
Inscris-toi pour voir l'intégralité du workflow
Inscription gratuite
S'inscrire gratuitementBesoin d'aide ?{
"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": "Sticky Note2",
"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": "Sticky Note",
"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": "Get Video Audience MetaData",
"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": "Compose Prompts",
"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": "Extract MetaData Object",
"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": "Get Prompt by Prompt Type",
"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": "Define Audience Meta Prompt",
"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": "Sticky Note4",
"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": "Sticky Note5",
"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": "Sticky Note7",
"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": "Sticky Note8",
"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": "Sticky Note9",
"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": "Sticky Note10",
"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": "Get YouTube Information by Prompt Type",
"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": "Sticky Note1",
"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": "Save to Google Drive as Text File",
"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": "Send to Gmail as 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": "Convert Markdown to 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": "Provide YouTube Information to User as 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": "Sticky Note3",
"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": "Sticky Note6",
"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": "Sticky Note11",
"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": "Sticky Note12",
"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": "Sticky Note13",
"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": "Sticky Note14",
"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": "Sticky Note15",
"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": "Start 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": "Create YouTube API URL",
"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": "Get YouTube Video Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
3440,
100
],
"parameters": {
"url": "={{ $json.youtubeUrl }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "42b45f4c-9447-4ffa-ae7f-ffa68de395ba",
"name": "Sticky Note16",
"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": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
4100,
540
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineByPosition"
},
"typeVersion": 3
},
{
"id": "377870dd-7dfe-49dc-a444-67017a97e8c8",
"name": "Sticky Note17",
"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": {
"Merge": {
"main": [
[
{
"node": "Compose Prompts",
"type": "main",
"index": 0
}
]
]
},
"Config": {
"main": [
[
{
"node": "Create YouTube API URL",
"type": "main",
"index": 0
},
{
"node": "Define Audience Meta Prompt",
"type": "main",
"index": 0
}
]
]
},
"Start Workflow": {
"main": [
[
{
"node": "Config",
"type": "main",
"index": 0
}
]
]
},
"Compose Prompts": {
"main": [
[
{
"node": "Get Prompt by Prompt Type",
"type": "main",
"index": 0
}
]
]
},
"Create YouTube API URL": {
"main": [
[
{
"node": "Get YouTube Video Details",
"type": "main",
"index": 0
}
]
]
},
"Extract MetaData Object": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Convert Markdown to HTML": {
"main": [
[
{
"node": "Send to Gmail as HTML",
"type": "main",
"index": 0
},
{
"node": "Provide YouTube Information to User as HTML",
"type": "main",
"index": 0
}
]
]
},
"Get Prompt by Prompt Type": {
"main": [
[
{
"node": "Get YouTube Information by Prompt Type",
"type": "main",
"index": 0
}
]
]
},
"Get YouTube Video Details": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Define Audience Meta Prompt": {
"main": [
[
{
"node": "Get Video Audience MetaData",
"type": "main",
"index": 0
}
]
]
},
"Get Video Audience MetaData": {
"main": [
[
{
"node": "Extract MetaData Object",
"type": "main",
"index": 0
}
]
]
},
"Get YouTube Information by Prompt Type": {
"main": [
[
{
"node": "Convert Markdown to HTML",
"type": "main",
"index": 0
},
{
"node": "Save to Google Drive as Text File",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n YouTube, intelligence artificielle, contenu : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes marketing, aux créateurs de contenu et aux entreprises qui utilisent YouTube comme canal de communication. Il est particulièrement utile pour les professionnels ayant une connaissance technique intermédiaire et cherchant à automatiser leurs processus de création de contenu.
Workflow n8n YouTube, intelligence artificielle, contenu : problème résolu
Ce workflow résout le problème de la gestion manuelle des vidéos YouTube, qui peut être chronophage et sujette à des erreurs. En automatisant l'analyse et la synthèse du contenu vidéo, il permet aux utilisateurs de gagner du temps et d'améliorer la qualité de leurs résumés et transcriptions. Les entreprises peuvent ainsi se concentrer sur des tâches à plus forte valeur ajoutée tout en assurant une diffusion rapide et efficace de leur contenu.
Workflow n8n YouTube, intelligence artificielle, contenu : étapes du workflow
Étape 1 : Le workflow commence par un déclencheur de formulaire qui permet à l'utilisateur de soumettre l'URL d'une vidéo YouTube.
- Étape 1 : Il utilise le nœud 'Get YouTube Video Details' pour récupérer les informations pertinentes sur la vidéo.
- Étape 2 : Les métadonnées sont ensuite traitées à l'aide de nœuds 'Set' et 'Code' pour composer des prompts adaptés à l'intelligence artificielle.
- Étape 3 : Les résultats sont convertis en HTML et peuvent être envoyés par email ou sauvegardés sur Google Drive grâce aux nœuds 'Gmail' et 'Google Drive'.
- Étape 4 : Tout au long du processus, des nœuds 'Sticky Note' sont utilisés pour annoter les informations et assurer une bonne structuration des données.
Workflow n8n YouTube, intelligence artificielle, contenu : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier l'URL de la vidéo YouTube dans le déclencheur de formulaire. Les nœuds 'Set' vous permettent d'ajuster les prompts envoyés à l'intelligence artificielle, en fonction de vos besoins spécifiques. Vous pouvez également changer le format de sortie en modifiant les paramètres du nœud 'Convert Markdown to HTML'. Pour intégrer d'autres outils, envisagez d'ajouter des nœuds supplémentaires pour des plateformes comme Slack ou Trello. Enfin, assurez-vous de sécuriser votre workflow en configurant correctement les autorisations d'accès aux API utilisées.