Connect Qminder and Elasticsearch to Build Intelligent Automations
Choose a Trigger
When this happens...
Add visitor to queue
visitor checks in
Mark visitor as served
Choose an Action
Automatically do this!
Create Document
Create Document ( without selecting index)
Bulk Add Documents to an index
Delete Index
Create Index
Search (Fuzzy search)
Update Document
Bulk update documents
Bulk delete documents
Bulk Add Documents With Document Id
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Add visitor to queue
Triggers when a new visitor is added.
visitor checks in
runs when visitor checks in
Mark visitor as served
Set a visitor's status to 'served' in Qminder to update the queue and record service completion.
Do thisActions
Action is the task that follows automatically within your Qminder integrations.
Add visitor to line
Add a visitor to the selected line so they join the location's queue.
Create Document
create a doc
Create Document ( without selecting index)
index name is inside the document
Bulk Add Documents to an index
add many documents in one go
Delete Index
delete an index
Create Index
create an index
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Frequently Asked Questions
To start, connect both your Qminder and Elasticsearch accounts to viaSocket. Once connected, you can set up a workflow where an event in Qminder triggers actions in Elasticsearch (or vice versa).
Absolutely. You can customize how Qminder data is recorded in Elasticsearch. This includes choosing which data fields go into which fields of Elasticsearch, setting up custom formats, and filtering out unwanted information.
The data sync between Qminder and Elasticsearch 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 Qminder and Elasticsearch. 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 Qminder
Qminder is a queue management system designed to streamline customer service and improve the waiting experience. It helps businesses manage queues efficiently, providing real-time data and insights to enhance customer satisfaction.
Learn MoreAbout Elasticsearch
Elasticsearch is a powerful, open-source search and analytics engine built on Apache Lucene. It is designed for horizontal scalability, real-time search, and support for multi-tenant environments.
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