Integrate NetHunt CRM with Elasticsearch to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Create Document in Elasticsearch when New Record in Nethuntcrm
Bulk Add Documents to an index in Elasticsearch when New Record in Nethuntcrm
Delete Index in Elasticsearch when New Record in Nethuntcrm
Create Index in Elasticsearch when New Record in Nethuntcrm
Fuzzy Search in Elasticsearch when New Record in Nethuntcrm
Start from a real workflow other teams are already running.
NetHunt CRM
When this happens...
New Record
New Comment
New Call Logs
Updated Record
Elasticsearch
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
Create Document in Elasticsearch when New Record in Nethuntcrm
Use this flowBulk Add Documents to an index in Elasticsearch when New Record in Nethuntcrm
Use this flowDelete Index in Elasticsearch when New Record in Nethuntcrm
Use this flowCreate Index in Elasticsearch when New Record in Nethuntcrm
Use this flowFuzzy Search in Elasticsearch when New Record in Nethuntcrm
Use this flowUpdate Document in Elasticsearch when New Record in Nethuntcrm
Use this flowBulk update documents in Elasticsearch when New Record in Nethuntcrm
Use this flowBulk delete documents in Elasticsearch when New Record in Nethuntcrm
Use this flowBulk Add Documents With Document Id in Elasticsearch when New Record in Nethuntcrm
Use this flowCreate Document in Elasticsearch when New Comment in Nethuntcrm
Use this flowEverything you can automate between NetHunt CRM and Elasticsearch.
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new record created.
Trigger when new comment is created.
Trigger when new call logs created.
Trigger when record updated.
Action is the task that follows automatically within your NetHunt CRM integrations.
Create a new record
Update a record
Delete a record
Create a new record comment
Find records by ID or text query
This action Add a Gmail thread to a record.

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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NetHunt CRM is a customer relationship management system for Gmail and Google Apps.
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 moreSign up for a free viaSocket account, then authorize both your NetHunt CRM and Elasticsearch accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between NetHunt CRM and Elasticsearch as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Elasticsearch. No coding required.
Yes. You can set up a workflow where NetHunt CRM triggers actions in Elasticsearch, and a separate workflow where Elasticsearch triggers actions in NetHunt CRM. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between NetHunt CRM and Elasticsearch. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire NetHunt CRM and Elasticsearch integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.