This n8n workflow automates the process of monitoring Instagram Reels to identify trending content, analyze video data, and update a Notion database with detailed insights. Starting with a schedule trigger or manual launch, it fetches source accounts from Notion, scrapes Reels data via Apify, and classifies videos using Google Gemini API. It downloads videos, performs speech-to-text transcription, categorizes content, and updates the notion database with statistics and rich content. The workflow is practical for social media marketing teams, content creators, and agencies who want to track trends, generate insights, and keep their content database current without manual effort.
Automated Instagram Reels Monitoring and Content Update Workflow
Node Count | >20 Nodes |
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Nodes Used | @apify/n8n-nodes-apify.apify, code, httpRequest, if, manualTrigger, notion, scheduleTrigger, set, splitInBatches, stickyNote, switch, wait |
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