NektonIntegrationsDatabases PostgreSQL

Webhooks by Nekton Twitter Webhooks by Nekton integration with Twitter

How to Look up a Twitter user's followers and post the count to a PostgreSQL table

The number of Twitter followers of a given user tracked over time can be used as a proxy for growth. Use this integration to keep tabs on key accounts automatically. After you set it up, Nekton will search for a Twitter user's followers via a webhook and post the count to a PostgreSQL table. That way, you'll have the info you need for any further analysis.

  4.9/5 from 13 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 "Look up a Twitter user's followers and post the count to a PostgreSQL table" 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.