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⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis

Joseph LePageJoseph LePage
19423 views
2/3/2026
AIWeb ScrapingData ExtractionGroqSummarization
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🎥 YouTube Video AI Agent Workflow

This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the details and transcript are retrieved, you can chat with the AI agent to explore or analyze the video's content in a conversational and insightful manner.

🌟 How the Workflow Works

  1. 🔗 Input Video ID: The user provides a YouTube video ID as input to the workflow.

  2. 📄 Data Retrieval: The workflow fetches essential details about the video (e.g., title, description, upload date) and retrieves its transcript using YouTube's Data API and additional tools for transcript extraction.

  3. 🤖 AI Agent Interaction: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a conversation with the agent about the video's content, such as:

    • Summarizing the transcript.
    • Analyzing key points.
    • Clarifying specific sections.

  4. 💬 Dynamic Responses: The AI agent uses natural language processing (NLP) to generate contextual and accurate responses based on the video data, ensuring a smooth and intuitive interaction.

🚀 Use Cases

  • 📊 Content Analysis: Quickly analyze long YouTube videos by querying specific sections or extracting summaries.
  • 📚 Research and Learning: Gain insights from educational videos or tutorials without watching them entirely.
  • ✍️ Content Creation: Repurpose transcripts into blogs, social media posts, or other formats efficiently.
  • ♿ Accessibility: Provide an alternative, text-based way to interact with video content for users who prefer reading over watching.

🛠️ Resources for Getting Started

  • Google Cloud Console (for API setup): Visit Google Cloud's Get Started Guide to configure your API access.
  • YouTube Data API Key Setup: Follow this guide to create and manage your YouTube Data API key.
  • Install n8n Locally: Refer to this installation guide for setting up n8n on your local machine.

✨ Sample Prompts

"Tell me about this YouTube video with id: JWfNLF_g_V0"

"Can you provide a list of key takeaways from this video with id: [youtube-video-id]?"

Ultimate AI-Powered Chatbot for YouTube Summarization and Analysis

This n8n workflow creates a sophisticated AI chatbot designed to interactively summarize and analyze YouTube video content. It leverages LangChain agents and tools to process user queries, fetch YouTube transcripts, and generate intelligent responses.

What it does

This workflow acts as a backend service for an AI chatbot, enabling it to:

  1. Receive Chat Messages: It starts by listening for incoming chat messages, likely from a front-end application or another n8n workflow.
  2. Initialize AI Agent: An AI agent is initialized with a conversational memory and an OpenAI chat model.
  3. Define AI Tool: A custom tool, "Call n8n Workflow Tool," is defined. This tool is crucial for the agent to interact with other n8n workflows, specifically for fetching YouTube video transcripts.
  4. Process User Input: The AI agent processes the incoming chat message, utilizing its memory and the defined tool to understand the user's intent.
  5. Execute Tool (if needed): If the user's query requires YouTube video summarization or analysis, the AI agent will invoke the "Call n8n Workflow Tool" to trigger another n8n workflow responsible for fetching the YouTube transcript.
  6. Fetch YouTube Transcript: An HTTP Request node is used to call an external API (likely a custom n8n workflow or service) to retrieve the transcript of a specified YouTube video.
  7. Prepare Transcript Data: The fetched transcript data is processed, potentially split into manageable chunks, and then aggregated.
  8. Summarize Transcript: The aggregated transcript data is summarized, likely using another AI model or a dedicated summarization node.
  9. Generate AI Response: The AI agent uses the summarized information (or direct responses if no tool was needed) to generate a relevant and intelligent reply to the user.
  10. Return AI Response: The final AI-generated response is returned to the original chat trigger, completing the conversation cycle.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • OpenAI API Key: Configured as a credential in n8n for the OpenAI Chat Model.
  • External YouTube Transcript API/Workflow: This workflow relies on an external API or another n8n workflow (triggered by the "Call n8n Workflow Tool") to fetch YouTube video transcripts. You will need to set up and configure this external service.
  • Chat Platform Integration: A chat platform (e.g., Slack, Telegram, custom web application) that can send messages to the "Chat Trigger" webhook and receive responses.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Set up your OpenAI API Key credential for the "OpenAI Chat Model" node.
  3. Configure "Call n8n Workflow Tool":
    • Edit the "Call n8n Workflow Tool" node. You will need to specify the URL and potentially the workflow ID of the n8n workflow that handles fetching YouTube transcripts. This sub-workflow should be designed to accept a YouTube video URL as input and return its transcript.
  4. Activate the Workflow: Once configured, activate the workflow.
  5. Integrate with Chat Platform: Connect your desired chat platform to the "When chat message received" trigger. This typically involves configuring a webhook URL provided by the n8n trigger in your chat platform's settings.
  6. Start Chatting: Send a message to your chatbot asking it to summarize a YouTube video (e.g., "Summarize this YouTube video: [YouTube URL]"). The AI agent will then process your request, fetch the transcript, summarize it, and respond.

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