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integrationPostgres node
integrationYouTube node

Postgres and YouTube integration

Save yourself the work of writing custom integrations for Postgres and YouTube and use n8n instead. Build adaptable and scalable Development, Data & Storage, and Marketing workflows that work with your technology stack. All within a building experience you will love.

How to connect Postgres and YouTube

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Postgres and YouTube integration: Create a new workflow and add the first step

Step 2: Add and configure Postgres and YouTube nodes

You can find Postgres and YouTube in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Postgres and YouTube nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Postgres and YouTube integration: Add and configure Postgres and YouTube nodes

Step 3: Connect Postgres and YouTube

A connection establishes a link between Postgres and YouTube (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Postgres and YouTube integration: Connect Postgres and YouTube

Step 4: Customize and extend your Postgres and YouTube integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Postgres and YouTube with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Postgres and YouTube integration: Customize and extend your Postgres and YouTube integration

Step 5: Test and activate your Postgres and YouTube workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Postgres to YouTube or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Postgres and YouTube integration: Test and activate your Postgres and YouTube workflow

Youtube Outlier Detector (Find trending content based on your competitors)

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.

Nodes used in this workflow

Popular Postgres and YouTube workflows

Youtube Outlier Detector (Find trending content based on your competitors)

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.

Build your own Postgres and YouTube integration

Create custom Postgres and YouTube workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Postgres supported actions

Delete
Delete an entire table or rows in a table
Execute Query
Execute an SQL query
Insert
Insert rows in a table
Insert or Update
Insert or update rows in a table
Select
Select rows from a table
Update
Update rows in a table

YouTube supported actions

Get
Retrieve a channel
Get Many
Retrieve many channels
Update
Update a channel
Upload Banner
Upload a channel banner
Create
Create a playlist
Delete
Delete a playlist
Get
Get a playlist
Get Many
Retrieve many playlists
Update
Update a playlist
Add
Add an item to a playlist
Delete
Delete a item from a playlist
Get
Get a playlist's item
Get Many
Retrieve many playlist items
Delete
Delete a video
Get
Get a video
Get Many
Retrieve many videos
Rate
Rate a video
Update
Update a video
Upload
Upload a video
Get Many
Retrieve many video categories
Use case

Save engineering resources

Reduce time spent on customer integrations, engineer faster POCs, keep your customer-specific functionality separate from product all without having to code.

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Use case

Automate lead management

Using too many marketing tools? n8n lets you orchestrate all your apps into one cohesive, automated workflow.

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FAQs

  • Can Postgres connect with YouTube?

  • Can I use Postgres’s API with n8n?

  • Can I use YouTube’s API with n8n?

  • Is n8n secure for integrating Postgres and YouTube?

  • How to get started with Postgres and YouTube integration in n8n.io?

Need help setting up your Postgres and YouTube integration?

Discover our latest community's recommendations and join the discussions about Postgres and YouTube integration.
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