AI YouTube Insights Agent: Chat, Analyze & Optimize Content

Unlock Deeper YouTube Insights with this AI Agent

This n8n workflow functions as a sophisticated AI Agent, designed to streamline how you interact with and analyze YouTube content. It empowers you to go beyond surface-level metrics by providing tools for in-depth data extraction and AI-driven analysis. Connect it to YouTube, OpenAI, and Apify to unlock a suite of capabilities for enhancing your content strategy.

This AI Agent allows you to 'chat' with YouTube data. Ask it to find channel details, list videos, fetch descriptions, or pull comments. It then leverages OpenAI's powerful models (e.g., GPT-4o) for natural language understanding and task execution, and Apify for robust video transcription.

Key Features & Abilities:

• Conversational YouTube Exploration: Interact with YouTube data through a chat interface. Ask for channel details, video lists, descriptions, and comments.
• AI-Powered Data Retrieval: Utilizes OpenAI functions to intelligently call specific tools for fetching precise YouTube information (channel info, video details, comments, search).
• Video Transcription: Integrates with Apify to accurately transcribe YouTube videos, making content accessible for analysis or repurposing.
• AI Thumbnail Analysis: Submit thumbnail URLs to OpenAI's vision capabilities for feedback on design, engagement potential, and effectiveness.
• Comment Insights: Gather and process video comments to understand audience sentiment, identify common questions, and discover content ideas.
• Persistent Chat Memory: Remembers conversation history using PostgreSQL, allowing for contextual follow-up questions.
• Extensible Toolset: Built with a modular tool structure, allowing for easy expansion of its YouTube interaction capabilities.

• An n8n instance (Cloud or self-hosted).
• OpenAI API Key (e.g., for GPT-4o, supporting chat and vision capabilities).
• YouTube Data API Key (obtained from Google Cloud Console).
• Apify API Key (for video transcription).
• PostgreSQL database credentials and connection details (for chat memory).

1. Download the n8n workflow JSON file.
2. Import the workflow into your n8n instance.
3. Configure Credentials in n8n: a. OpenAI: Create and assign your OpenAI credentials to the 'OpenAI Chat Model' node and the 'OpenAI' node (used for thumbnail analysis). b. YouTube (Google API Key): For the HTTP Request nodes that fetch YouTube data (e.g., 'Get Channel Details', 'Get Video Description'), configure them with your YouTube Data API Key. This typically involves setting up a 'Query Auth' credential in n8n, naming the auth key 'key' (or similar, depending on your credential setup for Google APIs), and pasting your API key. c. Apify: For the 'Get Video Transcription' HTTP Request node, configure it with your Apify API token. This usually involves a 'Query Auth' credential in n8n, with 'token' as the auth key name. d. PostgreSQL: Assign your PostgreSQL credentials to the 'Postgres Chat Memory' node.
4. Review AI Agent Configuration: In the 'AI Agent' node, review and customize the systemMessage to tailor the agent's behavior and the tools it can use.
5. Verify Tool Connections: The AI Agent relies on several tool nodes (e.g., 'get_channel_details', 'analyze_thumbnail', 'video_transcription'). These tools are powered by HTTP requests. Ensure they are correctly configured with the credentials set up in step 3.
6. Activate the workflow. You can interact with the agent via the 'When chat message received' trigger (webhook) or by calling its webhook directly if you embed it in a custom application.