Connect Featurebase and MediaWiki to Build Intelligent Automations
Choose a Trigger
When this happens...
New Post
Choose an Action
Automatically do this!
- Request a new Action for MediaWiki
Enable Integrations or automations with these events of Featurebase and MediaWiki
Enable Integrations or automations with these events of Featurebase and MediaWiki
Triggers
New Post
Triggers when a new post is created on your feedback board.
Actions
Create Post
Create a post in feature base
Change Post Status
Changes a posts status.
Upvote Post
Adds an upvoter to a post.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your Featurebase and MediaWiki accounts to viaSocket. Once connected, you can set up a workflow where an event in Featurebase triggers actions in MediaWiki (or vice versa).
Absolutely. You can customize how Featurebase data is recorded in MediaWiki. This includes choosing which data fields go into which fields of MediaWiki, setting up custom formats, and filtering out unwanted information.
The data sync between Featurebase and MediaWiki 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 Featurebase and MediaWiki. 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 Featurebase
Featurebase is a feedback management tool that helps you prioritize user feedback and make correct product decisions.
Learn MoreAbout MediaWiki
MediaWiki is a free and open-source wiki software platform that allows users to create, edit, and manage collaborative content. It is widely used for creating and maintaining wikis, including the well-known Wikipedia. MediaWiki provides a robust framework for organizing and sharing information, making it ideal for both public and private knowledge bases.
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