{ "id": "4Tq5HZBdETVe7jEb", "meta": { "instanceId": "workflow-4b03b82a", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:47.576435", "updatedAt": "2025-09-29T07:07:47.576451", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production" }, "name": "⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2", "tags": [ "automation", "n8n", "production-ready", "excellent", "optimized" ], "nodes": [ { "id": "trigger-ac330b23", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "typeVersion": 1, "position": [ 100, 100 ], "parameters": {} }, { "id": "505077d1-a2e4-4b0d-99d6-756940022c3d", "name": "Google Gemini Chat Model1", "type": "n8n-nodes-base.noOp", "position": [ -440, -40 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-pro-exp" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "5da369db-b801-4653-888d-0e6042620298", "name": "Handle Queries", "type": "n8n-nodes-base.noOp", "position": [ -160, -280 ], "parameters": { "text": "={{ $('Chat').item.json.chatInput }}", "options": { "systemMessage": "=You are an intelligent assistant that can respond to queries related to the content of a Youtube Playlist or a single Video.\n\n# YOUR TASK\nDecide if the user has provided the info required and reply accordingly. If there is no url in context you have to suggest the user to provide one. \n\n\n1. If the user provided a YouTube Playlist or Video URL: reply in structured markdown format to the user based on the formulated questions and context. Assume the user is here because they don't won't / have time to watch such videos so:\n- Use the tool called `chat_playlist_data`, which can analyze YouTube videos. Use this tool effectively to process video content and generate structured summaries.\n- Your answers needs to be exhaustive and minimise bullet points\n- Be verbose in your response\n\n2. 1. If the user provided a YouTube Playlist or Video URL:\n- Do not ask for more specific details - always try to summarize the videos with the data from the tool `chat_playlist_data`\n- Never reply \"already provided a detailed summary\" - always try to summarize again the videos with more info from the tool `chat_playlist_data` - even if you have already provided the data before (so repeat yourself).\n\n3. If the user HAS NOT provided a YouTube Playlist URL or a invaid URL: gently invite the user to provide the URL so you can process it. \n\n# Rules\n\n## YouTube Playlist URL Definition\n- A URL from www.youtube.com or youtube.com.\n- Contains the query parameter `list=` followed by a playlist ID.\n- Example: {{ $env.WEBHOOK_URL }} (where PLXXXXXX is the playlist ID).\n\n## YouTube Video URL Definition\n- A URL from www.youtube.com, youtube.com, or youtu.be.\n- For www.youtube.com or youtube.com, it contains the query parameter `v=` followed by a video ID.\n- For youtu.be, it follows the format {{ $env.WEBHOOK_URL }}\n- Examples:\n - {{ $env.WEBHOOK_URL }} (where VIDEO_ID is the video ID).\n - {{ $env.WEBHOOK_URL }}\n- Does NOT have a query parameter `list=`\n\n# Context\n{\n \"intent\": {{ $('Default Intent').item.json.output?.intent || \"NONE\" }},\n \"url\": {{ $('Default Intent').item.json.output?.url || \"\" }},\n \"id\": {{ $('Default Intent').item.json.output?.id || \"\" }},\n \"limit\": {{ $('Default Intent').item.json.output?.limit || 0 }},\n \"status\": {{ $('Default Intent').item.json.output?.status || 'PENDING' }}\n}" }, "promptType": "define" }, "typeVersion": 1.7, "notes": "This agent node performs automated tasks as part of the workflow." }, { "id": "866bf387-3482-4615-94d5-fd72d5db21da", "name": "Split Out", "type": "n8n-nodes-base.splitOut", "position": [ 1380, -200 ], "parameters": { "include": "selectedOtherFields", "options": {}, "fieldToSplitOut": "transcript", "fieldsToInclude": "youtubeId" }, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow." }, { "id": "359404ce-4bc9-4e4d-9a26-22b9f9b176c9", "name": "Summarize & Analyze Transcript", "type": "n8n-nodes-base.noOp", "position": [ 660, 540 ], "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. 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\n**Make sure the summary is 300-400 max characters long.**\n\nInclude metadata such as video number, id, and title in the summary.\n\n**Here is the text**\n\nVideo number: {{ $json.video_number }}\nTitle: {{ $json.title }}\nYoutube ID: {{ $json.youtubeId }}\nTranscript:\n{{ $json.transcript_text }}", "promptType": "define" }, "typeVersion": 1.4, "notes": "This chainLlm node performs automated tasks as part of the workflow." }, { "id": "036765df-6da4-4430-bcea-af4066fb7c24", "name": "Concatenate", "type": "n8n-nodes-base.summarize", "position": [ 1700, -200 ], "parameters": { "options": {}, "fieldsToSplitBy": "youtubeId", "fieldsToSummarize": { "values": [ { "field": "transcript.text", "separateBy": " ", "aggregation": "concatenate" } ] } }, "typeVersion": 1, "notes": "This summarize node performs automated tasks as part of the workflow." }, { "id": "9152725c-15ca-41a0-8f98-108834e0c8be", "name": "Split Out1", "type": "n8n-nodes-base.splitOut", "position": [ 660, 40 ], "parameters": { "options": {}, "fieldToSplitOut": "videos" }, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow." }, { "id": "fee0e045-614a-41f0-ac75-051dff773e77", "name": "Limit", "type": "n8n-nodes-base.limit", "position": [ 860, 40 ], "parameters": { "maxItems": "={{ $('Update Context Intent').item.json.output.limit }}" }, "typeVersion": 1, "notes": "This limit node performs automated tasks as part of the workflow." }, { "id": "a691c1c7-d8c4-4eab-861b-f7cfcbeb0fc8", "name": "Qdrant Vector Store", "type": "n8n-nodes-base.noOp", "position": [ 1680, 480 ], "parameters": { "mode": "insert", "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "={{ $('Update Context Intent').first().json.output.id }}" } }, "credentials": { "qdrantApi": { "id": "mb8rw8tmUeP6aPJm", "name": "QdrantApi account" } }, "typeVersion": 1, "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow." }, { "id": "c3949e8f-0deb-4106-aaa5-e64403024243", "name": "Recursive Character Text Splitter", "type": "n8n-nodes-base.noOp", "position": [ 1800, 860 ], "parameters": { "options": {}, "chunkSize": 1200, "chunkOverlap": 200 }, "typeVersion": 1, "notes": "This textSplitterRecursiveCharacterTextSplitter node performs automated tasks as part of the workflow." }, { "id": "a3b23c6b-14c0-4805-8220-7c6166268276", "name": "Embeddings Google Gemini", "type": "n8n-nodes-base.noOp", "position": [ 1660, 700 ], "parameters": { "modelName": "models/text-embedding-004" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This embeddingsGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "6f4ee00d-dcdc-4468-9713-115912c1e571", "name": "Google Gemini Chat Model2", "type": "n8n-nodes-base.noOp", "position": [ 640, 740 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "75442631-512e-4b0e-a5a8-ed3e3a3e1f94", "name": "Embeddings Google Gemini1", "type": "n8n-nodes-base.noOp", "position": [ -120, 320 ], "parameters": { "modelName": "models/text-embedding-004" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This embeddingsGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "c33ceeca-9bf0-4dd2-b8df-fc2a1ccdf512", "name": "Chat", "type": "n8n-nodes-base.noOp", "position": [ -2780, -460 ], "webhookId": "e66183cc-1eed-4968-b34b-bcecf1bb55e8", "parameters": { "public": true, "options": { "loadPreviousSession": "notSupported" }, "initialMessages": "Hi there! 👋\nPlease provide a URL of a Youtube playlist you would like me to analise." }, "typeVersion": 1.1, "notes": "This chatTrigger node performs automated tasks as part of the workflow." }, { "id": "06bb2dfd-027c-4902-9559-2de080f6c145", "name": "Video Titles", "type": "n8n-nodes-base.splitOut", "position": [ 1160, 40 ], "parameters": { "options": {}, "fieldToSplitOut": "id,title" }, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow." }, { "id": "d9bbdda2-ef26-4b6c-94d0-7542f88f1530", "name": "Merge", "type": "n8n-nodes-base.merge", "position": [ 1700, 20 ], "parameters": { "mode": "combineBySql", "query": "SELECT \n ROW_NUMBER() AS video_number,\n input1.youtubeId, input2.title, input1.concatenated_transcript_text as transcript_text FROM input1 LEFT JOIN input2 ON input1.youtubeId = input2.id" }, "typeVersion": 3, "notes": "This merge node performs automated tasks as part of the workflow." }, { "id": "e6febdb9-370b-478d-b470-d6c2d3314d7b", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ 980, 540 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "b5e935c5-4973-40a3-adb9-fa76904d2ed9", "name": "video_number", "type": "number", "value": "={{ $('Merge').item.json.video_number }}" }, { "id": "e98f417d-123f-4a85-b2f7-64430e7b0250", "name": "youtubeId", "type": "string", "value": "={{ $('Merge').item.json.youtubeId }}" }, { "id": "d0ced7fd-c9a3-4a09-bf09-e4b5e45dd03d", "name": "title", "type": "string", "value": "={{ $('Merge').item.json.title }}" }, { "id": "31a80e6d-9b02-4d21-b888-1a00c036a04b", "name": "summary", "type": "string", "value": "={{ $json.text }}" }, { "id": "ef12f3f2-3d63-4e78-835f-7da004393a07", "name": "transcript_text", "type": "string", "value": "={{ $('Merge').item.json.transcript_text }}" }, { "id": "afa841e2-6f8b-4b27-9f28-10368ee32c2e", "name": "playlistId", "type": "string", "value": "={{ $('Update Context Intent').first().json.output.id }}" } ] } }, "typeVersion": 3.4, "notes": "This set node performs automated tasks as part of the workflow." }, { "id": "2736a1e6-a982-4f60-aa8d-658e9a3e9193", "name": "AI Agent", "type": "n8n-nodes-base.noOp", "position": [ 2720, 480 ], "parameters": { "text": "=Please analyze the given \"Transcript summary\" and create a full summary overview, following the below guidelines.\n\n1. Provide a full descriptive break down of the content of each video. Assume the user does not won't or have time to watch such videos, so:\n- Your summary needs to be exhaustive, descriptive, and minimise bullet points\n- Your summary needs to captures all the core concepts while maintaining technical accuracy\n- Your summary will be verbose\n\n2. Consider that the intent of the user is not to watch the videos but rather have all the content required and summaries from on the \"Transcript summary\".\n\n3. Use the tool called `chat_playlist_data`, which can analyze YouTube videos. Use this tool effectively to process video content and generate structured summaries.\n\nUser message:\n{{ $('Chat').item.json.chatInput }}\n\nTranscript summary:\n{{ $('Full Summary').item.json.concatenated_summary }}", "agent": "conversationalAgent", "options": {}, "promptType": "define" }, "executeOnce": true, "typeVersion": 1.7, "notes": "This agent node performs automated tasks as part of the workflow." }, { "id": "cf1e5c50-9c89-465f-beca-482cbd9affba", "name": "Google Gemini Chat Model4", "type": "n8n-nodes-base.noOp", "position": [ 2520, 720 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "1cbcec5e-b58c-4fce-b944-08c47a7385db", "name": "Delete Collection", "type": "n8n-nodes-base.httpRequest", "onError": "continueRegularOutput", "position": [ 1340, 480 ], "parameters": { "url": "{{ $env.BASE_URL }}", "method": "POST", "options": {}, "jsonBody": "{\n \"filter\": {}\n}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "{{ $credentials.predefinedCredentialType }}", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "YOUR_CREDENTIAL_HERE" }, "credentials": { "qdrantApi": { "id": "mb8rw8tmUeP6aPJm", "name": "QdrantApi account" } }, "executeOnce": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "16d7eaec-1d98-42dd-89aa-2681a9d1697d", "name": "Default Data Loader", "type": "n8n-nodes-base.noOp", "position": [ 1820, 700 ], "parameters": { "options": { "metadata": { "metadataValues": [ { "name": "video_number", "value": "={{ $input.item.json.video_number }}" }, { "name": "=youtubeId", "value": "={{ $input.item.json.youtubeId }}" }, { "name": "summary", "value": "={{ $input.item.json.summary }}" }, { "name": "title", "value": "={{ $input.item.json.title }}" }, { "name": "playlistId", "value": "={{ $input.item.json.playlistId }}" } ] } } }, "typeVersion": 1, "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow." }, { "id": "d3bc9db2-7618-46fd-b825-2cc0ad45fc22", "name": "Chat Buffer Memory", "type": "n8n-nodes-base.noOp", "position": [ -260, -40 ], "parameters": { "sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey", "contextWindowLength": 10 }, "typeVersion": 1.3, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow." }, { "id": "fb55b13f-880f-404c-9446-9f8a238c8a5c", "name": "Full Summary", "type": "n8n-nodes-base.summarize", "position": [ 2520, 480 ], "parameters": { "options": {}, "fieldsToSummarize": { "values": [ { "field": "summary", "separateBy": "\n", "aggregation": "concatenate" } ] } }, "typeVersion": 1.1, "notes": "This summarize node performs automated tasks as part of the workflow." }, { "id": "efc2fc99-c738-425e-9ee1-669e378e197f", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -560, -400 ], "parameters": { "color": 7, "width": 1080, "height": 900, "content": "## RAG & Reply to User Query\n- Retrieves and provides answers to user queries combining retrieval-augmented generation.\n- Processes messages without specific routing rules.\n " }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "0040adf6-2cfc-4b79-ba81-b76740bfd158", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 560, -400 ], "parameters": { "color": 7, "width": 1380, "height": 700, "content": "## Fetch and prepare Playlist video transcripts data for processing \n- Collects and organizes playlist video transcripts.\n- Prepares data for analysis and summarization." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "59b29fc5-5d88-40c0-a273-9dc71d9f009e", "name": "Chat Buffer Memory1", "type": "n8n-nodes-base.noOp", "position": [ 2700, 720 ], "parameters": { "sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey", "contextWindowLength": 10 }, "typeVersion": 1.3, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow." }, { "id": "afb6f6be-d299-402e-a9c6-2c60fbf4974e", "name": "YouTube Transcript", "type": "n8n-nodes-youtube-transcription-dmr.youtubeTranscripter", "position": [ 1160, -200 ], "parameters": { "videoId": "={{ $json.id }}", "continueOnFail": true }, "typeVersion": 1, "notes": "This youtubeTranscripter node performs automated tasks as part of the workflow." }, { "id": "9a43eb4a-9d4c-4fce-b19c-94485aa8af76", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 560, 340 ], "parameters": { "color": 7, "width": 640, "height": 700, "content": "## Summarize & Analyze Transcript\n- Creates summarized data from transcripts." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "676677f0-3dae-4873-a449-92930ced534e", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 1240, 340 ], "parameters": { "color": 7, "width": 980, "height": 700, "content": "## Store Embeddings\n- Saves embedded data for future use.\n- Updates current context to maintain the flow of the conversation. " }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "9ecd4d0d-b8bd-4a5d-981f-49fa515c17be", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 2260, 340 ], "parameters": { "color": 7, "width": 940, "height": 880, "content": "## First Summary Analysis\n- Conducts initial analysis of summarized data.\n- Return to the user insights from processed transcripts." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "45ae8377-0848-45fb-a7a3-aba8d44e3d35", "name": "Message Intent", "type": "n8n-nodes-base.noOp", "onError": "continueRegularOutput", "position": [ -2260, -460 ], "parameters": { "text": "= {{ $('Chat').item.json.chatInput }}", "options": { "systemMessage": "=**# YOUR TASK:**\nPlease analyze the user's message and decide if the user has provided the info required - and ALWAYS reply using the **Output format** defined below.\n\n# Output format\nYou use the following JSON structure to reply, don't include anything else, and alway inlude all the fields:\n```\n{\n \"intent\": PLAYLIST|VIDEO|NONE,\n \"url\": Youtube Playlist or Video URL or empty string,\n \"id\": Youtube Playlist or Video ID or empty string,\n \"limit\": number, default 0,\n \"status\": Previous context status `{{ $json.context_intent?.status }}` or \"PENDING\"\n}\n```\n\n## INTENT field GUIDELINES:\n\n**Respond with \"PLAYLIST\" if:**\n- The messsage contains a valid Youtube Playlist URL\n\n**Respond with \"VIDEO\" if:**\n- The messsage contains a valid Youtube Video URL\n\n**Respond with \"NONE\" if:**\n- The messsage does not contains a valid Youtube Playlist or Video URL\n\n## LIMIT field GUIDELINE:\nIf the \"Previous Context\" intent or the current intent is a Playlist: Based on current or most recent user message, check if there is an indication of how many videos to process, otherwise default to 0.\n\n## STATUS field GUIDELINE\nIf intent is a Playlist or Video and _different_ from the the \"Previous Context\" then use \"PENDING\" since the user intent is to run a new process. Otherwise use the \"Previous Context\" status value.\n\n\n# Rules for Playlist and Video\n\n## YouTube Playlist URL Definition\n- A URL from www.youtube.com or youtube.com.\n- Contains the query parameter `&list=` followed by a playlist ID.\n- Example: {{ $env.WEBHOOK_URL }} (where PLXXXXXX is the playlist ID).\n\n## YouTube Video URL Definition\n- A URL from www.youtube.com, youtube.com, or youtu.be.\n- For www.youtube.com or youtube.com, it contains the query parameter `v=` followed by a video ID.\n- For youtu.be, it follows the format {{ $env.WEBHOOK_URL }}\n- Examples:\n - {{ $env.WEBHOOK_URL }} (where VIDEO_ID is the video ID).\n - {{ $env.WEBHOOK_URL }}\n- IMPORTANT: YouTube Video URL **Does NOT have a query parameter `list=`**\n\n\n# Previous Context\n{{ JSON.stringify($json.context_intent) }}\n" }, "promptType": "define", "hasOutputParser": true }, "retryOnFail": true, "typeVersion": 1.7, "alwaysOutputData": true, "notes": "This agent node performs automated tasks as part of the workflow." }, { "id": "a29403f0-ed5c-465c-a43d-84e8dee69662", "name": "Structured Output Parser1", "type": "n8n-nodes-base.noOp", "position": [ -2020, -220 ], "parameters": { "jsonSchemaExample": "{\n \"intent\": \"PLAYLIST|VIDEO|NONE\",\n \"url\": \"Youtube Playlist or Video URL or empty string,\",\n \"id\": \"Youtube Playlist or Video ID or empty string,\",\n \"limit\": \"number of playlist videos to process or 0\",\n \"status\": \"PENDING|READY|DONE\"\n}" }, "typeVersion": 1.2, "notes": "This outputParserStructured node performs automated tasks as part of the workflow." }, { "id": "b3f43325-aa7b-47f3-8bbb-e27fa0c44a1e", "name": "Update Context Intent", "type": "n8n-nodes-base.redis", "position": [ -1160, -640 ], "parameters": { "key": "YOUR_CREDENTIAL_HERE", "value": "=intent {{ $('Process Status').item.json.output?.intent || null }} url {{ $('Process Status').item.json.output?.url || \"\" }} id {{ $('Process Status').item.json.output?.id || \"\" }} limit {{ $('Process Status').item.json.output?.limit || 0 }} status {{ $('Process Status').item.json.output?.status || 'PENDING' }}", "keyType": "YOUR_CREDENTIAL_HERE", "operation": "set", "valueIsJSON": false }, "credentials": { "redis": { "id": "mA0f9F1ROUThyrRW", "name": "Redis account" } }, "typeVersion": 1, "notes": "This redis node performs automated tasks as part of the workflow." }, { "id": "9c296501-049c-44b5-ae8d-8dda2c523278", "name": "Get Previous Context Intent", "type": "n8n-nodes-base.redis", "onError": "continueRegularOutput", "position": [ -2440, -460 ], "parameters": { "key": "YOUR_CREDENTIAL_HERE", "keyType": "YOUR_CREDENTIAL_HERE", "options": { "dotNotation": false }, "operation": "get", "valueIsJSON": false, "propertyName": "context_intent" }, "credentials": { "redis": { "id": "mA0f9F1ROUThyrRW", "name": "Redis account" } }, "typeVersion": 1, "alwaysOutputData": true, "notes": "This redis node performs automated tasks as part of the workflow." }, { "id": "9499d9f2-7d6d-432b-bdde-b4b98b90b224", "name": "Route Message Intent", "type": "n8n-nodes-base.switch", "position": [ -1700, -460 ], "parameters": { "rules": { "values": [ { "outputKey": "YOUR_CREDENTIAL_HERE", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "44e008af-4a1a-429d-adb6-039e74b643a6", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ \n ($json.output.intent == \"VIDEO\" || $json.output.intent == \"PLAYLIST\")\n && $json.output.status != \"DONE\" \n}}", "rightValue": "/PLAYLIST|VIDEO/" } ] }, "renameOutput": true }, { "outputKey": "YOUR_CREDENTIAL_HERE", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "12641857-945d-4470-968e-f3f805bfe1cd", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{ \n $json.output.intent == \"NONE\" || $json.output.status == \"DONE\"\n}}", "rightValue": "NONE" } ] }, "renameOutput": true } ] }, "options": { "fallbackOutput": "extra" } }, "typeVersion": 3.2, "notes": "This switch node performs automated tasks as part of the workflow." }, { "id": "dfd329e8-98b1-4ae8-8cc1-a1a5215b1c09", "name": "Process Status", "type": "n8n-nodes-base.code", "position": [ -1340, -640 ], "parameters": { "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nif ($input.last().json.output.intent == 'VIDEO') {\n $input.last().json.output.status = 'READY'\n}\n\nelse if ($input.last().json.output.intent == 'PLAYLIST' && parseInt($input.last().json.output.limit) > 0) {\n $input.last().json.output.status = 'READY'\n}\n\nelse {\n $input.last().json.output = {\n intent: $('Default Intent').first().json.output.intent,\n url: $('Default Intent').first().json.output.url,\n id: $('Default Intent').first().json.output.id,\n limit: $('Default Intent').first().json.output.limit,\n status: 'PENDING',\n }\n}\n\n\nreturn $input.all();" }, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "c84c21c6-0948-4628-b7a8-7cd2a5602cdc", "name": "Simple Memory", "type": "n8n-nodes-base.noOp", "position": [ -2180, -220 ], "parameters": { "sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey" }, "typeVersion": 1.3, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow." }, { "id": "8ad2e1d1-b657-47cd-afa5-4fc49dc7e0e6", "name": "Simple Memory3", "type": "n8n-nodes-base.noOp", "position": [ 1040, -1180 ], "parameters": { "sessionKey": "YOUR_CREDENTIAL_HERE", "sessionIdType": "customKey" }, "typeVersion": 1.3, "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow." }, { "id": "cf4d7c73-d9b1-42da-9ccc-6abccde4110c", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ -2540, -620 ], "parameters": { "color": 7, "width": 1080, "height": 580, "content": "## Message intent routing\n- Retrieves the previous context for continuity.\n- Ensures data integrity before processing.\n- Routes incoming messages based on intent.\n " }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "c0ecf826-b803-421a-aa2a-cb713131fbb7", "name": "Google Gemini Chat Model6", "type": "n8n-nodes-base.noOp", "position": [ -2340, -220 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash-lite" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "513a8c71-e982-47df-87bd-1e3d3ae9c613", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ -1420, -1020 ], "parameters": { "color": 7, "width": 460, "height": 580, "content": "## Update Context\n- Updates any issues detected in the context.\n- Prepares data for workflow progression.\n " }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "d4a9d7aa-dfee-418f-900a-9649f0405861", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 800, -1480 ], "parameters": { "color": 7, "width": 480, "height": 460, "content": "## Ask number of Playlist videos to process" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "f89481a4-64a2-4895-821f-effe48f7d331", "name": "Numb of Videos", "type": "n8n-nodes-base.noOp", "position": [ 900, -1380 ], "parameters": { "text": "={{ $('Chat').item.json.chatInput }}", "options": { "systemMessage": "=**Objective:**\n\nWe are here because the user wants to analyse a playlist in context, but we are missing how many videos he would like to process. Please reply to the user asking user to provide a number.\n\n## Context\n{{ JSON.stringify($json.output) }}" }, "promptType": "define" }, "typeVersion": 1.7, "notes": "This agent node performs automated tasks as part of the workflow." }, { "id": "bb8fa898-4953-4148-8339-2d205b86fc91", "name": "Default Intent", "type": "n8n-nodes-base.code", "position": [ -1920, -460 ], "parameters": { "jsCode": "if(\n ($('Message Intent').first().json?.output?.intent == 'NONE' \n || Object.keys($('Message Intent').first().json?.output || {}).length == 0)\n && Object.keys($('Get Previous Context Intent').first().json.context_intent).length > 0\n) {\n //use prev context intent\n if(!$input.first().json.output) {\n $input.first().json.output = {}\n }\n $input.first().json.output.intent = $('Get Previous Context Intent').first().json.context_intent?.intent || \"NONE\";\n $input.first().json.output.url = $('Get Previous Context Intent').first().json.context_intent?.url || \"\";\n $input.first().json.output.id = $('Get Previous Context Intent').first().json.context_intent?.id || \"\";\n $input.first().json.output.limit = $('Get Previous Context Intent').first().json.context_intent?.limit || 0;\n $input.first().json.output.status = $('Get Previous Context Intent').first().json.context_intent?.status || \"PENDING\";\n} else {\n // $input.first().json.output.intent = $('Message Intent').first().json.context_intent?.intent || \"NONE\";\n // $input.first().json.output.url = $('Message Intent').first().json.context_intent?.url || \"\";\n // $input.first().json.output.id = $('Message Intent').first().json.context_intent?.id || \"\";\n // $input.first().json.output.limit = $('Message Intent').first().json.context_intent?.limit || 0;\n // $input.first().json.output.status = $('Message Intent').first().json.context_intent?.status || \"PENDING\";\n}\n\n// else use message intent\n\nreturn $input.all();" }, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "0f1d1bb6-22c0-4b65-beaf-eaf4401d7550", "name": "Playlist Limit", "type": "n8n-nodes-base.if", "position": [ 160, -860 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "6ee01f0a-9533-4fb3-b023-cfcc422d9011", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $('Process Status').item.json.output.intent }}", "rightValue": "PLAYLIST" }, { "id": "e9575bb2-3c60-498b-b2c7-436b62e5195c", "operator": { "type": "number", "operation": "lte" }, "leftValue": "={{ parseInt($('Process Status').item.json.output.limit) }}", "rightValue": 0 } ] } }, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow." }, { "id": "083c17aa-de83-4f3c-8d71-f665903ce3d5", "name": "Playlist or Video", "type": "n8n-nodes-base.switch", "position": [ 160, -640 ], "parameters": { "rules": { "values": [ { "outputKey": "YOUR_CREDENTIAL_HERE", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "cc3ec644-7c3d-4d9f-b7a7-89b85824e3e3", "operator": { "name": "filter.operator.equals", "type": "string", "operation": "equals" }, "leftValue": "={{ $('Route Message Intent').item.json.output.intent }}", "rightValue": "VIDEO" } ] }, "renameOutput": true }, { "outputKey": "YOUR_CREDENTIAL_HERE", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "33beac83-b96b-4e76-9d18-e22df163ea4d", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $('Route Message Intent').item.json.output.intent }}", "rightValue": "PLAYLIST" } ] }, "renameOutput": true } ] }, "options": {} }, "typeVersion": 3.2, "notes": "This switch node performs automated tasks as part of the workflow." }, { "id": "0626bc2d-9e3a-4a4f-a331-62e8b6c69840", "name": "Get Fields for Summary", "type": "n8n-nodes-base.code", "position": [ 2340, 480 ], "parameters": { "jsCode": "return $('Edit Fields').all();" }, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "4aaaed18-ce90-4296-aba2-b5fa9492655d", "name": "Update Context Process Done1", "type": "n8n-nodes-base.redis", "position": [ 2040, 480 ], "parameters": { "key": "YOUR_CREDENTIAL_HERE", "value": "=intent {{ $('Process Status').first().json.output?.intent || null }} url {{ $('Process Status').first().json.output?.url || \"\" }} id {{ $('Process Status').first().json.output?.id || \"\" }} limit {{ $('Process Status').first().json.output?.limit || 0 }} status DONE", "keyType": "YOUR_CREDENTIAL_HERE", "operation": "set", "valueIsJSON": false }, "credentials": { "redis": { "id": "mA0f9F1ROUThyrRW", "name": "Redis account" } }, "executeOnce": true, "typeVersion": 1, "notes": "This redis node performs automated tasks as part of the workflow." }, { "id": "d3f71d59-a158-43e2-bfbd-a3bec20dea5b", "name": "Google Gemini Chat Model8", "type": "n8n-nodes-base.noOp", "position": [ 880, -1180 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash-thinking-exp" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "fa6b8a79-436e-4742-9732-cd5c1b2d3c88", "name": "Playlist HTTP Request", "type": "n8n-nodes-base.httpRequest", "position": [ 660, -200 ], "parameters": { "url": "{{ $env.BASE_URL }}", "options": {} }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "99d6da96-8983-4e7d-8343-b9ac975f5d20", "name": "YouTube Transcript1", "type": "n8n-nodes-youtube-transcription-dmr.youtubeTranscripter", "position": [ 1200, -860 ], "parameters": { "videoId": "={{ $('Update Context Intent').item.json.output.id }}", "continueOnFail": true }, "typeVersion": 1, "notes": "This youtubeTranscripter node performs automated tasks as part of the workflow." }, { "id": "41a07802-3fba-42fa-8482-f526a7e1b173", "name": "Video HTTP Request", "type": "n8n-nodes-base.httpRequest", "position": [ 900, -860 ], "parameters": { "url": "{{ $env.BASE_URL }}", "options": {} }, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow." }, { "id": "02103114-9c22-49b1-9dee-746b84cdef66", "name": "Get Title and Desc", "type": "n8n-nodes-base.code", "position": [ 1200, -640 ], "parameters": { "jsCode": "/**\n * This code node contains a modified version of play-dl,\n * which is licensed under the GNU General Public License Version 3 (GPLv3).\n *\n * Original Library Name: play-dl\n * Original Library Source: {{ $env.WEBHOOK_URL }}\n * Original Library License: GNU General Public License Version 3 (GPLv3)\n * (See: {{ $env.WEBHOOK_URL }}\n *\n * Modifications were made to the original library for use within this N8N workflow.\n * These modifications are also licensed under the GNU General Public License Version 3 (GPLv3).\n *\n * This program is distributed in the hope that it will be useful,\n * but WITHOUT ANY WARRANTY; without even the implied warranty of\n * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n * GNU General Public License for more details.\n *\n * You should have received a copy of the GNU General Public License\n * along with this program. If not, see <{{ $env.WEBHOOK_URL }}>.\n */\n\n\n/**\n * Basic function to get specific data (title, description, duration)\n * from pre-fetched HTML body data of a YouTube video page.\n * Assumes the HTML body is passed as the first argument.\n *\n * @param {string} body HTML body data of the YouTube video page.\n * @param {string} video_id YouTube video ID.\n * @param {string} url YouTube video URL.\n * @returns {Promise<{title: string, description: string, duration: number}>} Video Basic Info.\n * @throws {Error} If video ID cannot be extracted, captcha is detected,\n * or necessary data cannot be parsed.\n */\nasync function video_basic_info(body, video_id, url) {\n // --- Input Validation ---\n if (typeof body !== 'string') {\n throw new Error('body parameter must be a string of HTML');\n }\n if (typeof video_id !== 'string' || !video_id.trim()) {\n throw new Error('video_id parameter must be a non-empty string');\n }\n if (typeof url !== 'string' || !url.trim()) {\n throw new Error('url parameter must be a non-empty URL string');\n }\n\n // --- Captcha Check ---\n // Added check for consent page as well\n if (body.includes('Our systems have detected unusual traffic') || body.includes('consent.google.com')) {\n throw new Error('Captcha or Consent page encountered: YouTube likely requires interaction or detected bot-like activity.');\n }\n\n // --- Extract Player Data ---\n let player_data;\n try {\n // More robust regex to find ytInitialPlayerResponse, stopping at the next semicolon\n const player_data_match = body.match(/var ytInitialPlayerResponse\\s*=\\s*({.+?});\\s*(?:var |<\\/script)/);\n if (!player_data_match || !player_data_match[1]) {\n // Fallback attempt with simpler split (less reliable)\n const split_data = body.split('var ytInitialPlayerResponse = ');\n player_data = split_data?.[1]?.split(';')?.[0];\n } else {\n player_data = player_data_match[1];\n }\n\n if (!player_data) {\n // Check for common failure indicators in the HTML if data isn't found\n if (body.includes('YouTube') && !body.includes('videoDetails')) {\n throw new Error('Could not find ytInitialPlayerResponse data. The page might be a generic YouTube page, not a video page, or the structure changed.');\n }\n throw new Error('Could not find ytInitialPlayerResponse data.');\n }\n } catch (error) {\n console.log(\"Error during player_data extraction:\", error);\n throw new Error(`Failed during player data extraction: ${error}`);\n }\n\n\n let player_response;\n try {\n player_response = JSON.parse(player_data);\n } catch (e) {\n console.log(\"Raw player_data that failed parsing:\", player_data.substring(0, 500) + '...'); // Log start of data\n throw new Error(`Failed to parse ytInitialPlayerResponse JSON: ${e}`);\n }\n\n // --- Extract Required Video Details ---\n // Use optional chaining for safety\n const vid = player_response?.videoDetails;\n\n // Add more robust checking, including playability status\n if (!vid) {\n const playabilityStatus = player_response?.playabilityStatus;\n let reason = \"videoDetails object not found in the response.\";\n if (playabilityStatus?.status && playabilityStatus.status !== 'OK') {\n reason = ` Playability status: ${playabilityStatus.status}. Reason: ${playabilityStatus.reason ||\n playabilityStatus.errorScreen?.playerErrorMessageRenderer?.reason?.simpleText ||\n playabilityStatus.errorScreen?.playerKavRenderer?.reason?.simpleText ||\n 'No specific reason provided.'\n }`;\n } else if (playabilityStatus?.status === 'OK' && !vid) {\n reason = \" Playability status is OK, but videoDetails is still missing. Response structure might have changed.\";\n }\n throw new Error(`Could not get video details. ${reason}`);\n }\n\n // --- Return Simplified Data ---\n // Ensure values exist before accessing, provide defaults if necessary\n return {\n title: vid.title || 'N/A',\n description: vid.shortDescription || '', // Default to empty string if missing\n duration: Number(vid.lengthSeconds) || 0, // Default to 0 if missing/invalid\n };\n}\n\n\nreturn video_basic_info($input.first().json.data, $('Update Context Intent').first().json.output.id, $('Update Context Intent').first().json.output.url);" }, "retryOnFail": true, "typeVersion": 2, "alwaysOutputData": true, "waitBetweenTries": 500, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "6cea694e-0147-4cd0-a601-9b232813a1d3", "name": "Split Out2", "type": "n8n-nodes-base.splitOut", "position": [ 1440, -860 ], "parameters": { "include": "selectedOtherFields", "options": {}, "fieldToSplitOut": "transcript", "fieldsToInclude": "youtubeId" }, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow." }, { "id": "c479fb51-e17d-477a-b40b-65458cc3e679", "name": "Concatenate1", "type": "n8n-nodes-base.summarize", "position": [ 1660, -860 ], "parameters": { "options": {}, "fieldsToSplitBy": "youtubeId", "fieldsToSummarize": { "values": [ { "field": "transcript.text", "separateBy": " ", "aggregation": "concatenate" } ] } }, "typeVersion": 1, "notes": "This summarize node performs automated tasks as part of the workflow." }, { "id": "ccca5021-248b-4a98-af6b-ee92b2d63dca", "name": "Sticky Note12", "type": "n8n-nodes-base.stickyNote", "position": [ 800, -1000 ], "parameters": { "color": 7, "width": 1140, "height": 560, "content": "## Fetch and prepare single video transcripts data for processing\n- Retrieves and pre-processes single video transcripts.\n- Prepares data for analysis and summarization.\n" }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "1e9ecc6e-2b4d-4ae8-8949-d4b92eaf9287", "name": "Get Videos", "type": "n8n-nodes-base.code", "position": [ 1520, 480 ], "parameters": { "jsCode": "return $('Edit Fields').all();" }, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "f8ea7a40-b1f9-4dc2-959d-0e765331b191", "name": "Get Playlist Videos Data", "type": "n8n-nodes-base.code", "position": [ 860, -200 ], "parameters": { "jsCode": "/**\n * This code node contains a modified version of play-dl,\n * which is licensed under the GNU General Public License Version 3 (GPLv3).\n *\n * Original Library Name: play-dl\n * Original Library Source: {{ $env.WEBHOOK_URL }}\n * Original Library License: GNU General Public License Version 3 (GPLv3)\n * (See: {{ $env.WEBHOOK_URL }}\n *\n * Modifications were made to the original library for use within this N8N workflow.\n * These modifications are also licensed under the GNU General Public License Version 3 (GPLv3).\n *\n * This program is distributed in the hope that it will be useful,\n * but WITHOUT ANY WARRANTY; without even the implied warranty of\n * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n * GNU General Public License for more details.\n *\n * You should have received a copy of the GNU General Public License\n * along with this program. If not, see <{{ $env.WEBHOOK_URL }}>.\n */\n\n\n/**\n * Gets YouTube playlist info from a playlist url.\n *\n * Example\n * ```js\n * const playlist = await play.playlist_info('youtube playlist url')\n *\n * const playlist = await play.playlist_info('youtube playlist url', { incomplete : true })\n * ```\n * @param body HTML body of the playlist page\n * @param url Playlist URL\n * @returns YouTube Playlist\n */\nfunction playlist_info(body, url) {\n let url_ = url.trim();\n if (body.indexOf('Our systems have detected unusual traffic from your computer network.') !== -1)\n throw new Error('Captcha page: YouTube has detected that you are a bot!');\n\n const response = JSON.parse(\n body\n .split('var ytInitialData = ')[1]\n .split(';')[0]\n .split(/;\\s*(var|const|let)\\s/)[0]\n );\n\n if (response.alerts) {\n if (response.alerts[0].alertWithButtonRenderer?.type === 'INFO') {\n throw new Error(\n `While parsing playlist url\\n${response.alerts[0].alertWithButtonRenderer.text.simpleText}`\n );\n } else if (response.alerts[0].alertRenderer?.type === 'ERROR')\n throw new Error(`While parsing playlist url\\n${response.alerts[0].alertRenderer.text.runs[0].text}`);\n else throw new Error('While parsing playlist url\\nUnknown Playlist Error');\n }\n if (response.currentVideoEndpoint) {\n return getWatchPlaylist(response, body, url_);\n } else return getNormalPlaylist(response, body);\n}\n\n/**\n * Function to parse Playlist from YouTube search\n * @param data html data of that request\n * @param limit No. of videos to parse\n * @returns Array of YouTube Video objects.\n */\nfunction getPlaylistVideos(data, limit = Infinity) {\n const videos = [];\n\n for (let i = 0; i < data.length; i++) {\n if (limit === videos.length) break;\n const info = data[i].playlistVideoRenderer;\n if (!info || !info.shortBylineText) continue;\n\n videos.push({\n id: info.videoId,\n duration: parseInt(info.lengthSeconds) || 0,\n duration_raw: info.lengthText?.simpleText ?? '0:00',\n thumbnails: info.thumbnail.thumbnails,\n title: info.title.runs[0].text,\n upcoming: info.upcomingEventData?.startTime\n ? new Date(parseInt(info.upcomingEventData.startTime) * 1000)\n : undefined,\n channel: {\n id: info.shortBylineText.runs[0].navigationEndpoint.browseEndpoint.browseId || undefined,\n name: info.shortBylineText.runs[0].text || undefined,\n url: `{{ $env.WEBHOOK_URL }}{info.shortBylineText.runs[0].navigationEndpoint.browseEndpoint.canonicalBaseUrl ||\n info.shortBylineText.runs[0].navigationEndpoint.commandMetadata.webCommandMetadata.url\n }`,\n icon: undefined\n }\n });\n }\n return videos;\n}\n\n\nfunction getWatchPlaylist(response, body, url) {\n const playlist_details = response.contents.twoColumnWatchNextResults.playlist?.playlist;\n if (!playlist_details)\n throw new Error(\"Watch playlist unavailable due to YouTube layout changes.\")\n\n const videos = getWatchPlaylistVideos(playlist_details.contents);\n const videoCount = playlist_details.totalVideos;\n const channel = playlist_details.shortBylineText?.runs?.[0];\n const badge = playlist_details.badges?.[0]?.metadataBadgeRenderer?.style.toLowerCase();\n\n return {\n id: playlist_details.playlistId || '',\n title: playlist_details.title || '',\n videoCount: parseInt(videoCount) || 0,\n videos: videos,\n url: url,\n channel: {\n id: channel?.navigationEndpoint?.browseEndpoint?.browseId || null,\n name: channel?.text || null,\n url: `{{ $env.WEBHOOK_URL }}{channel?.navigationEndpoint?.browseEndpoint?.canonicalBaseUrl ||\n channel?.navigationEndpoint?.commandMetadata?.webCommandMetadata?.url\n }`,\n verified: Boolean(badge?.includes('verified')),\n artist: Boolean(badge?.includes('artist'))\n }\n };\n}\n\nfunction getNormalPlaylist(response, body) {\n const json_data =\n response.contents.twoColumnBrowseResultsRenderer.tabs[0].tabRenderer.content.sectionListRenderer.contents[0]\n .itemSectionRenderer.contents[0].playlistVideoListRenderer.contents;\n const playlist_details = response.sidebar.playlistSidebarRenderer.items;\n const videos = getPlaylistVideos(json_data, 100);\n\n const data = playlist_details[0].playlistSidebarPrimaryInfoRenderer;\n if (!data.title.runs || !data.title.runs.length) throw new Error('Failed to Parse Playlist info.');\n\n const author = playlist_details[1]?.playlistSidebarSecondaryInfoRenderer.videoOwner;\n const views = data.stats.length === 3 ? data.stats[1].simpleText.replace(/\\D/g, '') : 0;\n const lastUpdate =\n data.stats\n .find((x) => 'runs' in x && x['runs'].find((y) => y.text.toLowerCase().includes('last update')))\n ?.runs.pop()?.text ?? null;\n const videosCount = data.stats[0].runs[0].text.replace(/\\D/g, '') || 0;\n\n return {\n id: data.title.runs[0].navigationEndpoint.watchEndpoint.playlistId,\n title: data.title.runs[0].text,\n videoCount: parseInt(videosCount) || 0,\n lastUpdate: lastUpdate,\n views: parseInt(views) || 0,\n videos: videos,\n url: `{{ $env.WEBHOOK_URL }}{data.title.runs[0].navigationEndpoint.watchEndpoint.playlistId}`,\n link: `{{ $env.WEBHOOK_URL }}{data.title.runs[0].navigationEndpoint.commandMetadata.webCommandMetadata.url}`,\n channel: author\n ? {\n name: author.videoOwnerRenderer.title.runs[0].text,\n id: author.videoOwnerRenderer.title.runs[0].navigationEndpoint.browseEndpoint.browseId,\n url: `{{ $env.WEBHOOK_URL }}{author.videoOwnerRenderer.navigationEndpoint.commandMetadata.webCommandMetadata.url ||\n author.videoOwnerRenderer.navigationEndpoint.browseEndpoint.canonicalBaseUrl\n }`,\n icons: author.videoOwnerRenderer.thumbnail.thumbnails ?? []\n }\n : {},\n thumbnail: data.thumbnailRenderer.playlistVideoThumbnailRenderer?.thumbnail.thumbnails.length\n ? data.thumbnailRenderer.playlistVideoThumbnailRenderer.thumbnail.thumbnails[\n data.thumbnailRenderer.playlistVideoThumbnailRenderer.thumbnail.thumbnails.length - 1\n ]\n : null\n };\n}\n\nfunction parseDuration(text) {\n if (!text) return 0;\n const split = text.split(':');\n\n switch (split.length) {\n case 2:\n return parseInt(split[0]) * 60 + parseInt(split[1]);\n\n case 3:\n return parseInt(split[0]) * 60 * 60 + parseInt(split[1]) * 60 + parseInt(split[2]);\n\n default:\n return 0;\n }\n}\n\nfunction getWatchPlaylistVideos(data, limit = Infinity) {\n const videos = [];\n\n for (let i = 0; i < data.length; i++) {\n if (limit === videos.length) break;\n const info = data[i].playlistPanelVideoRenderer;\n if (!info || !info.shortBylineText) continue;\n const channel_info = info.shortBylineText.runs[0];\n\n videos.push({\n id: info.videoId,\n duration: parseDuration(info.lengthText?.simpleText) || 0,\n duration_raw: info.lengthText?.simpleText ?? '0:00',\n thumbnails: info.thumbnail.thumbnails,\n title: info.title.simpleText,\n upcoming:\n info.thumbnailOverlays[0].thumbnailOverlayTimeStatusRenderer?.style === 'UPCOMING' || undefined,\n channel: {\n id: channel_info.navigationEndpoint.browseEndpoint.browseId || undefined,\n name: channel_info.text || undefined,\n url: `{{ $env.WEBHOOK_URL }}{channel_info.navigationEndpoint.browseEndpoint.canonicalBaseUrl ||\n channel_info.navigationEndpoint.commandMetadata.webCommandMetadata.url\n }`,\n icon: undefined\n }\n });\n }\n\n return videos;\n}\n\n\nreturn playlist_info($input.first().json.data, $('Update Context Intent').first().json.output.url);" }, "retryOnFail": true, "typeVersion": 2, "alwaysOutputData": true, "waitBetweenTries": 500, "notes": "This code node performs automated tasks as part of the workflow." }, { "id": "71b60b8e-06df-45a8-85a3-7b9e938fb6f0", "name": "Embeddings Google Gemini2", "type": "n8n-nodes-base.noOp", "position": [ 2640, 1060 ], "parameters": { "modelName": "models/text-embedding-004" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This embeddingsGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "58feccf5-1b97-4c88-b274-444e177f4515", "name": "Qdrant Vector Store3", "type": "n8n-nodes-base.noOp", "position": [ -100, 160 ], "parameters": { "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "={{ $('Default Intent').first().json.output?.id }}" } }, "credentials": { "qdrantApi": { "id": "mb8rw8tmUeP6aPJm", "name": "QdrantApi account" } }, "typeVersion": 1.1, "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow." }, { "id": "6cff2236-3e78-4e8c-bb3d-5140f106c530", "name": "Answer questions with a vector store", "type": "n8n-nodes-base.noOp", "position": [ 180, -40 ], "parameters": { "name": "chat_playlist_data", "topK": 10, "description": "=Retrive data about the Playlist or Video from the vector store.\nplaylistId or youtubeId: {{ $('Default Intent').item.json.output?.id }}\n\n**User Message:**\n{{ $('Chat').item.json.chatInput }}" }, "typeVersion": 1, "notes": "This toolVectorStore node performs automated tasks as part of the workflow." }, { "id": "312081d9-9279-4700-a432-e9f878d5361e", "name": "Qdrant Vector Store4", "type": "n8n-nodes-base.noOp", "position": [ 2700, 900 ], "parameters": { "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "={{ $('Default Intent').first().json.output?.id }}" } }, "credentials": { "qdrantApi": { "id": "mb8rw8tmUeP6aPJm", "name": "QdrantApi account" } }, "typeVersion": 1.1, "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow." }, { "id": "f5cba8b5-226d-4b0a-8cb6-a51728ac8247", "name": "Answer questions with a vector store1", "type": "n8n-nodes-base.noOp", "position": [ 2860, 700 ], "parameters": { "name": "chat_playlist_data", "topK": 6, "description": "=User Message:\n{{ $('Chat').item.json.chatInput }}" }, "typeVersion": 1, "notes": "This toolVectorStore node performs automated tasks as part of the workflow." }, { "id": "22f18788-b47f-4187-9146-28e6de5ec7a6", "name": "Google Gemini Chat Model", "type": "n8n-nodes-base.noOp", "position": [ 3000, 900 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "2aa52dd2-169b-43dc-8202-1d60f5fd55c0", "name": "Google Gemini Chat Model3", "type": "n8n-nodes-base.noOp", "position": [ 220, 160 ], "parameters": { "options": {}, "modelName": "models/gemini-2.0-flash" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "d96d3670-ab95-4afc-a275-33f03383a204", "name": "Qdrant Vector Store2", "type": "n8n-nodes-base.noOp", "position": [ -820, -880 ], "parameters": { "mode": "load", "prompt": "Are there any documents in the store?", "options": {}, "qdrantCollection": { "__rl": true, "mode": "id", "value": "={{ $('Process Status').item.json.output?.id }}" } }, "credentials": { "qdrantApi": { "id": "mb8rw8tmUeP6aPJm", "name": "QdrantApi account" } }, "typeVersion": 1, "alwaysOutputData": true, "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow." }, { "id": "7c289d61-09b2-461e-b771-8781f60828c7", "name": "Embeddings Google Gemini4", "type": "n8n-nodes-base.noOp", "position": [ -840, -640 ], "parameters": { "modelName": "models/text-embedding-004" }, "credentials": { "googlePalmApi": { "id": "2zwuT5znDglBrUCO", "name": "Google Gemini(PaLM) Api account" } }, "typeVersion": 1, "notes": "This embeddingsGoogleGemini node performs automated tasks as part of the workflow." }, { "id": "59be01b0-3ff9-4cc2-b569-c0cb4dcae3ec", "name": "If Node", "type": "n8n-nodes-base.if", "position": [ -260, -880 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "795da689-23c3-49d5-a312-ca18e2c9d5e3", "operator": { "type": "number", "operation": "gt" }, "leftValue": "={{ $json.count_document }}", "rightValue": 0 } ] } }, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow." }, { "id": "ab9bc74d-9659-44fe-aa08-4878609ef808", "name": "Count Content", "type": "n8n-nodes-base.summarize", "position": [ -460, -880 ], "parameters": { "options": {}, "fieldsToSummarize": { "values": [ { "field": "document" } ] } }, "typeVersion": 1.1, "notes": "This summarize node performs automated tasks as part of the workflow." }, { "id": "5c953435-1052-4e1c-9d2f-2439ba944b28", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 20, -1020 ], "parameters": { "color": 7, "width": 500, "height": 580, "content": "## Process or ask for more details\n- Decides next steps based on workflow conditions e.g. missing number of playlist videos to process.\n- Route to Playlist or Video processing." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "78760cd2-74db-482d-b660-bd53a3184b95", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -920, -1020 ], "parameters": { "color": 7, "width": 880, "height": 580, "content": "## Already Processed? \n- Check if we already have embeddings in the vector store." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." }, { "id": "a8dc1b1e-2ba9-4b85-9f2f-c3d07ec67c32", "name": "Update Context Intent1", "type": "n8n-nodes-base.redis", "position": [ -460, -640 ], "parameters": { "key": "YOUR_CREDENTIAL_HERE", "value": "=intent {{ $('Process Status').item.json.output?.intent || null }} url {{ $('Process Status').item.json.output?.url || \"\" }} id {{ $('Process Status').item.json.output?.id || \"\" }} limit {{ $('Process Status').item.json.output?.limit || 0 }} status DONE", "keyType": "YOUR_CREDENTIAL_HERE", "operation": "set", "valueIsJSON": false }, "credentials": { "redis": { "id": "mA0f9F1ROUThyrRW", "name": "Redis account" } }, "typeVersion": 1, "notes": "This redis node performs automated tasks as part of the workflow." }, { "id": "36ea2e25-8d29-4ec6-bc6a-15c98153c390", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ -2540, 20 ], "parameters": { "width": 1080, "height": 1320, "content": "# AI-Powered YouTube Playlist & Video Summarization and Analysis Chat Bot\n\nThis N8N workflow transforms YouTube playlists or individual videos into interactive knowledge bases. Instead of watching videos, users can chat with the workflow to get summaries and answers based on the video transcripts.\n\n## How it Works:\n\n1. **Chat Interaction & Intent Detection:**\n * The workflow starts via a chat interface (`Chat Trigger`), prompting the user for a YouTube playlist or video URL.\n * It retrieves any previous conversation context stored in Redis.\n * A Google Gemini AI agent (`Message Intent`) analyzes the user's input to determine if it contains a valid YouTube playlist URL, a video URL, or neither (`NONE`). It extracts the URL, the corresponding ID (Playlist ID or Video ID), and checks if the user specified a limit for the number of playlist videos to process.\n * The workflow maintains context (like the current URL, ID, and processing status) using Redis (`Update Context Intent`, `Get Previous Context Intent`).\n\n2. **Routing & Pre-processing Checks:**\n * Based on the detected intent and whether the content needs processing, a `Switch` node (`Route Message Intent`) directs the workflow.\n * If a valid URL is provided and hasn't been processed yet (`status != 'DONE'`), it proceeds to the processing pipeline.\n * It checks if embeddings for the given ID already exist in the Qdrant vector store (`Qdrant Vector Store2`, `If`). If they do, it skips processing and moves to the query handling stage.\n * If the input is a playlist URL but no video limit is specified (`limit=0`), it prompts the user to provide one (`Numb of Videos` agent).\n\n3. **Video/Playlist Processing Pipeline:**\n * **Data Fetching:**\n * For **Playlists**: Fetches the playlist page (`Playlist HTTP Request`), extracts video details using custom code (`Get Playlist Videos Data`), limits the videos if specified (`Limit`), and then fetches the transcript for each video (`YouTube Transcript`).\n * For **Videos**: Fetches the video page (`Video HTTP Request`), extracts title/description (`Get Title and Desc`), and fetches the transcript (`YouTube Transcript1`).\n * **Transcript Processing & Summarization:**\n * Transcripts are retrieved using the `youtubeTranscripter` node.\n * Transcripts are concatenated (`Concatenate`, `Concatenate1`).\n * Data (like video ID, title, transcript text) is merged and structured (`Merge`, `Edit Fields`).\n * Each video's transcript is summarized by a Google Gemini AI chain (`Summarize & Analyze Transcript`).\n * **Embedding & Storage:**\n * Any existing data for the playlist/video ID is cleared from the Qdrant vector store (`Delete Collection`).\n * The processed transcripts (potentially alongside summaries/metadata) are loaded (`Default Data Loader`).\n * Text is split into manageable chunks (`Recursive Character Text Splitter`).\n * Google Gemini generates vector embeddings for the text chunks (`Embeddings Google Gemini`).\n * These embeddings are stored in a Qdrant collection, indexed by the playlist or video ID (`Qdrant Vector Store`).\n * **Status Update & Final Summary:**\n * The context status in Redis is updated to 'DONE' (`Update Context Process Done1`).\n * All individual video summaries are combined (`Full Summary`).\n * An AI agent (`AI Agent`) may generate a final, comprehensive summary or response based on the processed data, using a tool to query the vector store (`Answer questions with a vector store1`).\n\n4. **Query Handling (Chatting with Content):**\n * If the user's input is identified as a query rather than a new URL to process (or if processing for a URL is complete), the workflow activates the main query handler.\n * A conversational AI agent (`Handle Queries`), powered by Google Gemini and equipped with chat memory (`Chat Buffer Memory`), answers user questions.\n * This agent uses a specialized tool (`Answer questions with a vector store`) that retrieves relevant information directly from the Qdrant vector store based on the user's query and the stored embeddings." }, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow." } ], "active": true, "pinData": {}, "settings": { "executionOrder": "v1", "saveManualExecutions": true, "callerPolicy": "workflowsFromSameOwner", "errorWorkflow": null, "timezone": "UTC", "executionTimeout": 3600, "maxExecutions": 1000, "retryOnFail": true, "retryCount": 3, 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