NektonIntegrationsDatabases PostgreSQL

Webhooks by Nekton PostgreSQL Webhooks by Nekton integration with PostgreSQL

How to Send new webhook data to PostgreSQL as new rows

Need to plug your PostgreSQL into your webhook workflow? Don't bother with any manual effort and use this Flow instead. Once you've got it up and running, just direct all your payloads to the custom webhook you define during configuration. Any payloads it catches will then automatically be sent to your PostgreSQL database, creating a new row with the information so that your pipeline keeps moving forward without any hiccups.

  5.0/5 from 23 votes. About 5 minutes to complete.

Steps to automate

Use workflow automation service.
Preparation
Create Nekton account. You can also use your existing Google account to sign in.
Create automation
  • Click on the "Create new workflow" button, and then add "Automated step".
  • Set the step description to "Send new webhook data to PostgreSQL as new rows" and then click on "Automate".
  • Provide the necessary parameters and click on the "Test it" button to check your automation. If you had issues with it, you can click on "Automate" again to try a different one.
Create a schedule (optional)
If you want to run this automation on a schedule, click on the gear button on the workflow editor screen to configure it. For example, you can run this flow every hour or every day.

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PostgreSQL actions

Nekton can use any feature that is available in PostgreSQL API. Using our advanced AI, you can easily create custom automations for PostgreSQL. Here are some typical actions you can do in your automated workflows.
Update Row
Updates an existing row.
Find Row via Custom Query
Finds a row in a table via a custom query you control.
New Row
Adds a new row.
Find Row
Finds a row in a table via a lookup column.
New Column
Triggered when you add a new column.
New Row (Custom Query)
Triggered when new rows are returned from a custom query that you provide.

About PostgreSQL

PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.