Daily AI Summaries for YouTube Podcast Playlists
Automatically fetch, transcribe, and generate AI-powered summaries of podcasts from your YouTube playlist daily, logging everything to Google Sheets for quick insights without full playback.
This n8n workflow automates the process of summarizing long-form podcasts or videos saved in a YouTube playlist. It fetches all videos, extracts titles, URLs, and IDs, retrieves transcripts, processes them for clarity, and uses AI to create detailed, sectioned summaries highlighting main topics and key insights. Results are organized in a Google Sheets spreadsheet with titles, transcripts, summaries, and row numbers for easy reference.
Ideal for podcast enthusiasts, busy professionals, content creators, and researchers facing information overload from lengthy audio/video content. It saves hours by delivering concise takeaways, enabling efficient learning and organization without watching full episodes.
Key benefits include daily automation via cron trigger, seamless integrations with YouTube, transcription services, AI models (e.g., OpenAI), and Google Sheets. No manual intervention needed—perfect for tracking educational, industry, or favorite content playlists over time.
Use cases: Busy executives reviewing industry podcasts; researchers compiling video notes; creators generating content ideas from summaries; anyone optimizing knowledge intake from YouTube subscriptions.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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