
When this happens...
New Branded Link
New Click

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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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when create a new branded link.
Triggers when the Branded Link receives a new click.
Action is the task that follows automatically within your Rebrandly integrations.
create a short branded link from any url.
update the destination url of branded link
Creates a new tag in Rebrandly.
create a doc
index name is inside the document
add many documents in one go

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Rebrandly and Elasticsearch accounts to viaSocket. Once connected, you can set up a workflow where an event in Rebrandly triggers actions in Elasticsearch (or vice versa).
Absolutely. You can customize how Rebrandly 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 Rebrandly 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 Rebrandly 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.
Rebrandly is the easiest way to create and share branded links (short URLs using your own domain name).
Learn MoreElasticsearch 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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