Connect Clockify and PostgreSQL to Build Intelligent Automations

Choose a Trigger

Clockify

When this happens...

Choose an Action

PostgreSQL

Automatically do this!

Ready to use Clockify and PostgreSQL automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Postgresql (mutiple table)

Postgresql (mutiple table)

Get all the data, which was updated in last 15 min, from all the table provided.

Request a new Trigger for Clockify

Do thisActions

Action is the task that follows automatically within your Clockify integrations.

Find Project

Find Project

Find a Project in a workspace.

Update a Client

Update a Client

Update your Client here

Delete a Client

Delete a Client

Delete a Client

Create Client

Create Client

Create a new client

Find Client

Find Client

Find a Client in Workspace.

Find Task

Find Task

Find Task by Name on a specified project and workspace.

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Frequently Asked Questions

How do I start an integration between Clockify and PostgreSQL?

To start, connect both your Clockify and PostgreSQL accounts to viaSocket. Once connected, you can set up a workflow where an event in Clockify triggers actions in PostgreSQL (or vice versa).

Can we customize how data from Clockify is recorded in PostgreSQL?

Absolutely. You can customize how Clockify data is recorded in PostgreSQL. This includes choosing which data fields go into which fields of PostgreSQL, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Clockify and PostgreSQL?

The data sync between Clockify and PostgreSQL typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Clockify to PostgreSQL?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Clockify and PostgreSQL?

Yes, you can set conditional logic to control the flow of data between Clockify and PostgreSQL. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.