Connect QuickHunt and KNIME to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for QuickHunt
Choose an Action
Automatically do this!
- Request a new Action for KNIME
Enable Integrations or automations with these events of QuickHunt and KNIME
Enable Integrations or automations with these events of QuickHunt and KNIME
Actions
Get All Feedback
Gets feedback for the selected project, returning results page by page.
Create Feedback
Creates a new feedback idea in QuickHunt.
Update Feedback
Update a feedback item in QuickHunt with new details.
Delete Feedback
Remove a feedback item from a project by selecting it or finding it with a search.
Get Feedback Upvoters
Get the list of people who upvoted a specific feedback item.
Add Comment
Adds a comment to an idea or feedback.
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Frequently Asked Questions
To start, connect both your QuickHunt and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in QuickHunt triggers actions in KNIME (or vice versa).
Absolutely. You can customize how QuickHunt data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between QuickHunt and KNIME 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 QuickHunt and KNIME. 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 QuickHunt
QuickHunt is a dynamic platform designed to streamline job searching and recruitment processes, offering innovative tools for both job seekers and employers.
Learn MoreAbout KNIME
KNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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