Connect Breezy HR and Elasticsearch to Build Intelligent Automations
Choose a Trigger
When this happens...
New Active Position
New Candidate
Choose an Action
Automatically do this!
Create Document
Bulk Add Documents to an index
Delete Index
Create Index
Fuzzy Search
Update Document
Bulk update documents
Bulk delete documents
Bulk Add Documents With Document Id
Ready to use Breezy HR and Elasticsearch automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Active Position
Trigger when a position in active.
New Candidate
Trigger when a new candidate is created.
Do thisActions
Action is the task that follows automatically within your Breezy HR integrations.
Create candidate
Create a new candidate.
Create Document
Creates a document in Elasticsearch using the index name specified 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
Fuzzy Search
fuzzy search
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Frequently Asked Questions
To start, connect both your Breezy HR and Elasticsearch accounts to viaSocket. Once connected, you can set up a workflow where an event in Breezy HR triggers actions in Elasticsearch (or vice versa).
Absolutely. You can customize how Breezy HR 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 Breezy HR 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 Breezy HR 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 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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