Extract insights & analyse YouTube comments via AI Agent chat.json

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"content": "### ... or watch set up video [13 min]\n[![Youtube Thumbnail](https://cflobdhpqwnoisuctsoc.supabase.co/storage/v1/object/public/my_storage/Youtube%20AI%20Agent%20Blur.png)](https://youtu.be/6RmLZS8Yl4E)\n"
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"content": "![5min Logo](https://cflobdhpqwnoisuctsoc.supabase.co/storage/v1/object/public/my_storage/banner.png)\n## AI Agent To Chat With Youtube\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\n\nNavigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.\n\nThe workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:\n- Extracting user preferences from comments.\n- Transcribing video content for enhanced understanding.\n- Analyzing thumbnails via AI for maximum viewer engagement insights.\n\n"
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"content": "### Set up steps\n\n1. **API Setup**:\n - Create a [Google Cloud](https://console.cloud.google.com/apis/dashboard) project and enable the YouTube Data API.\n - Generate an API key for [Apify](https://www.apify.com?fpr=ujogj).\n - Generate API key for [OpenAI](https://platform.openai.com)\n - Create all credentials in N8N - OpenAI, Apify, Google Cloud.\n\n2. **YouTube Creator and Video Selection**:\n - Start by defining a request to identify top creators based on their video views.\n - Capture the YouTube video IDs for further analysis of comments and other video metrics.\n\n3. **Comment Analysis**:\n - Gather comments associated with the selected videos and analyze them for user insights.\n - Implement pagination to handle the maximum comment retrieval limits in API requests.\n\n4. **Video Transcription**:\n - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.\n - Utilize the insights from transcriptions to formulate content plans.\n\n5. **Thumbnail Analysis**:\n - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.\n\n6. **Data Management**:\n - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning."
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"description": "Get channel_id, title and description by handle/username.\nChannel_id is required to find videos and details about this channel.\nIf Youtube link to channel provided - parse handle from there or return channel_id. (e.g. https://www.youtube.com/@example_handle - example_handle)\n\n\nExample Input:\nexample_handle\n\nExample Output:\nid:UCOgz_YflAsYnGbdvzXuKNCA\ntitle:Daniel Simmons\ndescription:Digital Diary 🤎\\n\\n\\nWeekly videos around fashion...",
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"description": "Fetch video details - the full description, title, and publish date of a video using its video_id.\n\nExample input:\nvideo_id:dQw4w9WgXcQ\n\nExample Output:\ntitle:Never Gonna Give You Up\ndescription: \"The official video for “Never Gonna Give You Up” by Rick Astley.\nduration:4 min\nviewCount:154\nlikeCount:6\nthumbnails: urls",
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"description": "Analyze a thumbnail image based on a given prompt. The prompt can be customized for specific analysis needs, such as design critique, color scheme evaluation, or content assessment.\nUse link of maxRes thumbnail. \n\nInput:\n- url: URL of the thumbnail image.\n- prompt: Customizable instruction for the analysis.\n\nOutput:\n- Results of the analysis based on the given prompt.",
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"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"video_url\": {\n \"type\": \"string\",\n \"description\": \"URL of the video to transcribe\"\n }\n },\n \"required\": [\"video_url\"]\n}",
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"content": "## Scenario 1: AI agent"
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"conditions": [
{
"id": "0f51cc26-2e42-42e1-a5c2-cb1d2e384962",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "comments"
}
]
},
"renameOutput": true
},
{
"outputKey": "search",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "51031140-5ceb-48aa-9f33-d314131a9653",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "search"
}
]
},
"renameOutput": true
},
{
"outputKey": "videos",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f160bf0a-423f-448d-ab80-50a0b6a177ca",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "videos"
}
]
},
"renameOutput": true
},
{
"outputKey": "analyze_thumbnail",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "29542ac4-7b9d-413f-aabb-a1cdabed2fa7",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "analyze_thumbnail"
}
]
},
"renameOutput": true
},
{
"outputKey": "video_transcription",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "35fc39b8-6cf1-4ea6-9609-4a195c5526f8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Execute Workflow Trigger').item.json.command }}",
"rightValue": "video_transcription"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "df432d53-33bf-4e91-9ead-7f4b36bd788a",
"name": "Get Video Transcription",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
2238
],
"parameters": {
"url": "=https://api.apify.com/v2/acts/dB9f4B02ocpTICIEY/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "={\n \"startUrls\": [\n \"{{ $('Execute Workflow Trigger').item.json.query.video_url }}\"\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpQueryAuth"
},
"credentials": {
"httpQueryAuth": {
"id": "XDavOaI9qH5Zi3QC",
"name": "Apify"
}
},
"typeVersion": 4.2
},
{
"id": "8079e5c9-4a52-45ce-ac41-7fc707177a5a",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2064,
2078
],
"parameters": {
"text": "={{ $('Execute Workflow Trigger').item.json.query.prompt }}",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"resource": "image",
"imageUrls": "={{ $('Execute Workflow Trigger').item.json.query.url }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1.7
},
{
"id": "7847e82a-fe82-498c-8c14-4c1c718d632c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1380,
1140
],
"parameters": {
"width": 1427.3810326521016,
"height": 1313.2689194736308,
"content": "## Scenario 2: Agent tools"
},
"typeVersion": 1
},
{
"id": "3a0fbbb0-4c0e-41f1-abb3-c87e955ad1b3",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1540,
960
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials"
},
"typeVersion": 1
},
{
"id": "363eaca0-aaa5-4551-845f-528f19bba57a",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2004,
1178
],
"parameters": {
"color": 4,
"width": 266.7375650720483,
"height": 80,
"content": "### Replace credentials in all nodes - Apify, OpenAI, Google"
},
"typeVersion": 1
}
],
"pinData": {
"Execute Workflow Trigger": [
{
"query": {
"type": "video",
"query": "Web scraping data with n8n and Puppeteer",
"sorting": "relevance"
},
"command": "search"
}
]
},
"connections": {
"OpenAI": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Get Channel Details",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Video Description",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Comments",
"type": "main",
"index": 0
}
],
[
{
"node": "Run Query",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Videos by Channel",
"type": "main",
"index": 0
}
],
[
{
"node": "OpenAI",
"type": "main",
"index": 0
}
],
[
{
"node": "Get Video Transcription",
"type": "main",
"index": 0
}
]
]
},
"search": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Run Query": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Get Comments": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"analyze_thumbnail": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"get_list_of_videos": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Channel Details": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"get_channel_details": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"video_transcription": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"get_list_of_comments": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Video Description": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Get Videos by Channel": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"get_video_description": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Get Video Transcription": {
"main": [
[
{
"node": "Response",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}