Templates / Identify competitor YouTube outlier videos with Bright Data, OpenAI, Sheets and Slack

Identify competitor YouTube outlier videos with Bright Data, OpenAI, Sheets and Slack

Ready for 3.0

by Daniel Shashko ✓ · 24 views · created 2026-08-14 · Market Research, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 24 nodes and runs on a schedule (every day at 07:00). Along the way it connects Google Sheets, OpenAI Chat Model and Slack.

How it runs

Trigger: On a schedule (every day at 07:00).

  1. Set Channel Config (Edit Fields (Set)): sets 10 fields: competitor_channels, country, videos_per_channel…
  2. Build Channel Input (Code): runs custom JavaScript code
  3. Scrape Channels With Bright Data (HTTP Request): calls an HTTP API (POST)
  4. Check Scrape Accepted (Code): runs custom JavaScript code
  5. Wait: waits 20 seconds
  6. Check Snapshot Progress (HTTP Request): calls an HTTP API (GET)
  7. Evaluate Scrape Progress (Code): runs custom JavaScript code
  8. Videos Ready? (If): checks a condition and branches into true / false
  9. Download Channel Videos (HTTP Request): calls an HTTP API (GET)
  10. Score Video Outliers (Code): runs custom JavaScript code

…plus 10 more steps. See the full node list below.

Services it uses

Google SheetsOpenAI Chat ModelSlack

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (13)

From the author

Quick overview This workflow runs weekly to scrape competitor YouTube channels via Bright Data, identify videos that outperform each channel’s own baseline, analyze each outlier’s hook and structure with OpenAI (GPT-5.6), log results to Google Sheets, and…

Excerpt from Daniel Shashko's description on n8n.io.

View the original on n8n.io → Check your own copy

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