Connect Disqus and DeskTime to Build Intelligent Automations
Choose a Trigger
When this happens...
New Comment
New Flagged Comment
Choose an Action
Automatically do this!
Create Task
Ready to use Disqus and DeskTime automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Comment
Triggers when a new comment is left on a Disqus-enabled forum.
New Flagged Comment
Triggers when a Disqus comment is flagged.
Do thisActions
Action is the task that follows automatically within your Disqus integrations.
Create Forum
Creates a new forum.
Create Task
Create a new Task test
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Frequently Asked Questions
To start, connect both your Disqus and DeskTime accounts to viaSocket. Once connected, you can set up a workflow where an event in Disqus triggers actions in DeskTime (or vice versa).
Absolutely. You can customize how Disqus data is recorded in DeskTime. This includes choosing which data fields go into which fields of DeskTime, setting up custom formats, and filtering out unwanted information.
The data sync between Disqus and DeskTime 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 Disqus and DeskTime. 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 Disqus
Disqus is a global comment system that improves discussion on websites and connects conversations across the web. It provides a platform for users to engage in discussions, share opinions, and interact with content creators and other users.
Learn MoreAbout DeskTime
DeskTime is a time tracking and productivity app designed for teams and freelancers to enhance efficiency by automatically tracking time spent on tasks, applications, and websites. It provides detailed productivity analysis by categorizing activities and tracking idle time.
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