⚡ KI-gestützte YouTube-Zusammenfassung und -Analyse
Dies ist ein AI, Marketing-Bereich Automatisierungsworkflow mit 12 Nodes. Hauptsächlich werden Set, Code, Webhook, YouTube, SplitOut und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. ⚡ KI-gestützte YouTube-Zusammenfassungen und -Analysen
- •HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
- •Telegram Bot Token
- •OpenAI API Key
Verwendete Nodes (12)
Kategorie
{
"nodes": [
{
"id": "9320d08a-4868-4103-abdf-3f8f54a7a0a0",
"name": "Webhook-Trigger",
"type": "n8n-nodes-base.webhook",
"position": [
0,
0
],
"webhookId": "9024e29e-9080-4cf5-9a6b-0d918468f195",
"parameters": {
"path": "ytube",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "a5cc8922-8124-4269-9cfd-e891b29cc2b7",
"name": "YouTube Transcript",
"type": "n8n-nodes-youtube-transcription.youtubeTranscripter",
"position": [
800,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ff3c0fd1-36d8-4d64-b405-0600efd4d93b",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
200,
260
],
"parameters": {
"options": {},
"fieldToSplitOut": "transcript"
},
"typeVersion": 1
},
{
"id": "423276e0-81bf-487a-bbdd-26e9b84fa755",
"name": "Respond to Webhook-Trigger",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1200,
140
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "27344649-8029-48ae-867b-7363d904fc59",
"name": "Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
1200,
380
],
"parameters": {
"text": "={{ $json.title }}\n{{ $json.youtubeUrl }}",
"additionalFields": {
"parse_mode": "HTML",
"appendAttribution": false
}
},
"typeVersion": 1.2
},
{
"id": "230c0325-d22a-4070-9460-748a6fef48d5",
"name": "Get YouTube URL",
"type": "n8n-nodes-base.set",
"position": [
200,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3ee42e4c-3cee-4934-97e7-64c96b5691ed",
"name": "youtubeUrl",
"type": "string",
"value": "={{ $json.body.youtubeUrl }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "420e90c3-9dfa-4f41-825a-9874b5ebe43a",
"name": "YouTube Video ID",
"type": "n8n-nodes-base.code",
"position": [
400,
0
],
"parameters": {
"jsCode": "const extractYoutubeId = (url) => {\n // Regex pattern that matches both youtu.be and youtube.com URLs\n const pattern = /(?:youtube\\.com\\/(?:[^\\/]+\\/.+\\/|(?:v|e(?:mbed)?)\\/|.*[?&]v=)|youtu\\.be\\/)([^\"&?\\/\\s]{11})/;\n const match = url.match(pattern);\n return match ? match[1] : null;\n};\n\n// Input URL from previous node\nconst youtubeUrl = items[0].json.youtubeUrl; // Adjust this based on your workflow\n\n// Process the URL and return the video ID\nreturn [{\n json: {\n videoId: extractYoutubeId(youtubeUrl)\n }\n}];\n"
},
"typeVersion": 2
},
{
"id": "a4171c3e-1ff2-40de-af7f-b3971a1ebe79",
"name": "Get YouTube Video",
"type": "n8n-nodes-base.youTube",
"position": [
600,
0
],
"parameters": {
"options": {},
"videoId": "={{ $json.videoId }}",
"resource": "video",
"operation": "get"
},
"typeVersion": 1
},
{
"id": "73e6bfc5-8b62-4880-acd4-292f2f692540",
"name": "gpt-4o-mini",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
620,
440
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "ea14e296-b30c-46f7-b283-746822ae1af4",
"name": "Zusammenfassen & Analyze Transcript",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
600,
260
],
"parameters": {
"text": "=Please analyze the given text and create a structured summary following these guidelines:\n\n1. Break down the content into main topics using Level 2 headers (##)\n2. Under each header:\n - List only the most essential concepts and key points\n - Use bullet points for clarity\n - Keep explanations concise\n - Preserve technical accuracy\n - Highlight key terms in bold\n3. Organize the information in this sequence:\n - Definition/Background\n - Main characteristics\n - Implementation details\n - Advantages/Disadvantages\n4. Format requirements:\n - Use markdown formatting\n - Keep bullet points simple (no nesting)\n - Bold important terms using **term**\n - Use tables for comparisons\n - Include relevant technical details\n\nPlease provide a clear, structured summary that captures the core concepts while maintaining technical accuracy.\n\nHere is the text: {{ $json.concatenated_text\n }}",
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "90e3488f-f854-483e-9106-a5760d0c0457",
"name": "Concatenate",
"type": "n8n-nodes-base.summarize",
"position": [
400,
260
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "text",
"separateBy": " ",
"aggregation": "concatenate"
}
]
}
},
"typeVersion": 1
},
{
"id": "9c5c249c-5eeb-4433-ba93-ace4611f4858",
"name": "Response Object",
"type": "n8n-nodes-base.set",
"position": [
960,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "bf132004-6636-411f-9d85-0c696fda84c4",
"name": "summary",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "63c8d0e3-685c-488a-9b45-363cf52479ea",
"name": "topics",
"type": "array",
"value": "=[]"
},
{
"id": "171f30cf-34e9-42f3-8735-814024bfde0b",
"name": "title",
"type": "string",
"value": "={{ $('Get YouTube Video').item.json.snippet.title }}"
},
{
"id": "7f26f5a3-e695-49d1-b1e8-9260c31f1b3d",
"name": "description",
"type": "string",
"value": "={{ $('Get YouTube Video').item.json.snippet.description }}"
},
{
"id": "d0594232-cb39-453c-b015-3b039c098e1f",
"name": "id",
"type": "string",
"value": "={{ $('Get YouTube Video').item.json.id }}"
},
{
"id": "17b6ca08-ce89-4467-bd25-0d2d182f7a8b",
"name": "youtubeUrl",
"type": "string",
"value": "={{ $('Webhook').item.json.body.youtubeUrl }}"
}
]
}
},
"typeVersion": 3.4
}
],
"pinData": {},
"connections": {
"Webhook": {
"main": [
[
{
"node": "230c0325-d22a-4070-9460-748a6fef48d5",
"type": "main",
"index": 0
}
]
]
},
"ff3c0fd1-36d8-4d64-b405-0600efd4d93b": {
"main": [
[
{
"node": "90e3488f-f854-483e-9106-a5760d0c0457",
"type": "main",
"index": 0
}
]
]
},
"90e3488f-f854-483e-9106-a5760d0c0457": {
"main": [
[
{
"node": "Summarize & Analyze Transcript",
"type": "main",
"index": 0
}
]
]
},
"73e6bfc5-8b62-4880-acd4-292f2f692540": {
"ai_languageModel": [
[
{
"node": "Summarize & Analyze Transcript",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"230c0325-d22a-4070-9460-748a6fef48d5": {
"main": [
[
{
"node": "420e90c3-9dfa-4f41-825a-9874b5ebe43a",
"type": "main",
"index": 0
}
]
]
},
"9c5c249c-5eeb-4433-ba93-ace4611f4858": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
},
{
"node": "27344649-8029-48ae-867b-7363d904fc59",
"type": "main",
"index": 0
}
]
]
},
"420e90c3-9dfa-4f41-825a-9874b5ebe43a": {
"main": [
[
{
"node": "a4171c3e-1ff2-40de-af7f-b3971a1ebe79",
"type": "main",
"index": 0
}
]
]
},
"Summarize & Analyze Transcript": {
"main": [
[
{
"node": "9c5c249c-5eeb-4433-ba93-ace4611f4858",
"type": "main",
"index": 0
}
]
]
}
}
}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?
Fortgeschritten - 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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Joseph LePage
@joeAs an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.
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