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n8n

Youtube outlier detector (find trending content based on your competitors)

n8nn8n19 modulesv1.0
codeexecuteWorkflowTriggerhttpRequestifmanualTriggerpostgressetsplitInBatchesyouTube

Video explanation This n8n workflow helps you identify trending videos within your niche by detecting outlier videos that significantly outperform a channel's average views. It automates the process of monitoring competitor channels, saving time and streamlining content research. Included in the Workflow - Automated Competitor Video Tracking Monitors videos from specified competitor channels, fetching data directly from the YouTube API. - Outlier Detection Based on Channel Averages Compares each

At a glance

Youtube outlier detector (find trending content based on your competitors) is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects code, executeWorkflowTrigger, httpRequest, if. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
code, executeWorkflowTrigger, httpRequest, if, manualTrigger, postgres
Modules
19
Price
Free
Version
v1.0
Youtube outlier detector (find trending content based on your competitors) workflow diagram

About this workflow

Video explanation This n8n workflow helps you identify trending videos within your niche by detecting outlier videos that significantly outperform a channel's average views. It automates the process of monitoring competitor channels, saving time and streamlining content research. Included in the Workflow - Automated Competitor Video Tracking Monitors videos from specified competitor channels, fetching data directly from the YouTube API. - Outlier Detection Based on Channel Averages Compares each video’s performance against the channel’s historical average to identify significant spikes in viewership. - Historical Video Data Management Stores video statistics in a PostgreSQL database, allowing the workflow to only fetch new videos and optimize API usage. - Short Video Filtering Automatically removes short videos based on duration thresholds. - Flexible Video Retrieval Fetches up to 3 months of historical data on the first run and only new videos on subsequent runs. - PostgreSQL Database Integration Includes SQL queries for database setup, video insertion, and performance analysis. - Configurable Outlier Threshold Focuses on videos published within the last two weeks with view counts at least twice the channel's average. - Data Output for Analysis Outputs best-performing videos along with their engagement metrics, making it easier to identify trending topics. Requirements - n8n installed on your machine or server - A valid YouTube Data API key - Access to a PostgreSQL database This workflow is intended for educational and research purposes, helping content creators gain insights into what topics resonate with audiences without manual daily monitoring.

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

Setup guide

Setup guide included

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