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Publishing·n8n workflow

YouTube Channel RSS Monitor & Recommend

Monitor your YouTube channel every 2 hours. When new videos appear, AI analyzes them and recommends repurposing strategies (clips, blog, newsletter).

Overview

What it does: Checks your YouTube channel RSS feed every 2 hours for new uploads. For each video, this workflow logs it to a tracking sheet, analyzes the content using OpenAI, and recommends which videos should be repurposed into blog posts, short-form clips, or newsletter content. Alerts your team with priority rankings. Business outcome: Never miss a video repurposing opportunity. Identify high-impact videos worth converting to multiple formats. Build a content library of video-derived assets. Save hours on manual content audits. Nodes & apps: n8n schedule trigger, YouTube RSS feed, Google Sheets, OpenAI GPT-4o, Slack Credentials needed: • YouTube channel ID (public, no auth needed) • Google Sheets API key (for tracking sheet) • OpenAI API key Setup steps: 1. Create a Google Sheet for video tracking 2. Add your YouTube channel ID to workflow environment 3. Configure OpenAI for content analysis 4. Set up Slack channel (#youtube) for alerts 5. Map the tracking sheet ID in the workflow 6. Test with a manual run 7. Activate the 2-hour schedule Difficulty: Medium | Setup time: 12–18 min | Sources: enescingoz/awesome-n8n-templates

What's included

Importable n8n workflow (JSON)
Real, wired nodes — trigger, logic, and actions
Setup notes: which credentials to connect
Free updates when the workflow changes
Commercial-use license — keep and customize
Email support if you get stuck

Quickstart

  1. 01

    Download the JSON

    With an active Library Pass, download the workflow file right from this page or your dashboard.

  2. 02

    Import into n8n

    Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.

  3. 03

    Plug in credentials

    Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.

  4. 04

    Activate and test

    Run once with sample input, confirm the expected output, then flip the activate toggle.

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