This n8n workflow automates the process of extracting, summarizing, and logging YouTube video content into Airtable. Starting with scheduled triggers, it fetches new YouTube links from Airtable, extracts video transcripts using a RapidAPI service, and combines these transcripts into a cohesive text. It then leverages an AI language model to generate a detailed summary, including the main idea and key takeaways. Finally, it updates Airtable records with these insights, streamlining content curation and idea generation for creators or marketing teams. This workflow is ideal for content marketers, researchers, or team collaborators looking to automate content analysis and extraction from YouTube videos.
Automated YouTube Content Summary to Airtable
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.informationExtractor, airtable, code, httpRequest, scheduleTrigger, set, stickyNote |
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