
When this happens...
New Lead
Lead Status Updated

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
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when New Lead Is Created
Runs when Lead Status Updated
Action is the task that follows automatically within your Espo CRM integrations.
Create a new lead using contact and address details.
Fetches Lead details by an ID.
Update lead details.
Find leads that match a text filter.
Creates a document in Elasticsearch using the index name specified inside the document.
add many documents in one go

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To start, connect both your Espo CRM and Elasticsearch accounts to viaSocket. Once connected, you can set up a workflow where an event in Espo CRM triggers actions in Elasticsearch (or vice versa).
Absolutely. You can customize how Espo CRM 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 Espo CRM 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 Espo CRM 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.
Espo CRM is a versatile customer relationship management platform designed to help businesses manage their customer interactions, sales processes, and marketing efforts efficiently. It offers a range of features including contact management, sales automation, and analytics to enhance customer engagement and drive business growth.
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.
Learn More