Connect Disqus and Birst to Build Intelligent Automations
Choose a Trigger
When this happens...
New Comment
New Flagged Comment
Choose an Action
Automatically do this!
- Request a new Action for Birst
Enable Integrations or automations with these events of Disqus and Birst
Enable Integrations or automations with these events of Disqus and Birst
Triggers
New Comment
Triggers when a new comment is left on a Disqus-enabled forum.
New Flagged Comment
Triggers when a Disqus comment is flagged.
Actions
Create Forum
Creates a new forum.
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Frequently Asked Questions
To start, connect both your Disqus and Birst accounts to viaSocket. Once connected, you can set up a workflow where an event in Disqus triggers actions in Birst (or vice versa).
Absolutely. You can customize how Disqus data is recorded in Birst. This includes choosing which data fields go into which fields of Birst, setting up custom formats, and filtering out unwanted information.
The data sync between Disqus and Birst 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 Birst. 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 Birst
Birst is a cloud-based business intelligence and analytics platform that helps organizations make data-driven decisions. It provides tools for data discovery, visualization, and reporting, enabling users to transform raw data into actionable insights. Birst's platform is designed to be user-friendly, allowing both technical and non-technical users to access and analyze data efficiently.
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