Connect Clockify and Data Studio to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Clockify
Choose an Action
Automatically do this!
- Request a new Action for Data Studio
Enable Integrations or automations with these events of Clockify and Data Studio
Enable Integrations or automations with these events of Clockify and Data Studio
Actions
Find Project
Find a Project in a workspace.
Update a Client
Update your Client here
Delete a Client
Delete a Client
Create Client
Create a new client
Find Client
Find a Client in Workspace.
Find Task
Find Task by Name on a specified project and workspace.
Know More About Clockify and Data Studio Integrations
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Frequently Asked Questions
To start, connect both your Clockify and Data Studio accounts to viaSocket. Once connected, you can set up a workflow where an event in Clockify triggers actions in Data Studio (or vice versa).
Absolutely. You can customize how Clockify data is recorded in Data Studio. This includes choosing which data fields go into which fields of Data Studio, setting up custom formats, and filtering out unwanted information.
The data sync between Clockify and Data Studio typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Clockify and Data Studio. 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.
About Clockify
Clockify, a time tracking and timesheet application, enables project-based work hour tracking for unlimited users at no cost.
Learn MoreAbout Data Studio
Data Studio is a powerful tool by Google that allows users to transform raw data into informative, easy-to-read, and shareable dashboards and reports. It is designed to help businesses and individuals visualize their data in a way that is both meaningful and actionable.
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