📊 Summarize new YouTube uploads with Apify, OpenAI, Slack, Notion and Sheets
⚡ 3 views · 📊 Market Research & Insights
💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.
Description
Quick overview
This workflow checks specified YouTube channels every hour using Apify’s YouTube Channel Monitor and posts a formatted Slack message for each newly published video, including the title, link, duration, and publish time.
How it works
- Runs every hour on a schedule.
- Defines the list of YouTube channels to monitor and how many recent results to fetch per channel.
- Uses Apify (dami_studio/youtube-channel-monitor) to retrieve uploads that are new since the last run.
- Filters out any returned items that do not contain a valid video URL.
- Deduplicates results by video ID to ensure each video triggers only one alert across executions.
- Posts a Slack message to the selected channel with the channel name, video title, URL, duration in minutes, and publish timestamp.
Setup
- Create an Apify account and add an Apify API token credential in n8n.
- Connect a Slack OAuth2 credential and select the Slack channel where alerts should be posted.
- Replace the example channel list with the handles, channel IDs or URLs you want to watch, and set maxResultsPerChannel to suit how busy they are.
🔗 Nodes Used
Google Sheets, Slack, Notion, Schedule Trigger, Filter, Basic LLM Chain
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File