NetHunt and Deepgram Integration

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Automate sentiment analysis of NetHunt customer interactions using Deepgram's voice-to-text within Latenode’s visual editor. Build custom logic and scale affordably by paying only for execution time.

Swap Apps

NetHunt

Deepgram

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect NetHunt and Deepgram

Create a New Scenario to Connect NetHunt and Deepgram

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a NetHunt, triggered by another scenario, or executed manually (for testing purposes). In most cases, NetHunt or Deepgram will be your first step. To do this, click "Choose an app," find NetHunt or Deepgram, and select the appropriate trigger to start the scenario.

Add the NetHunt Node

Select the NetHunt node from the app selection panel on the right.

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NetHunt

Configure the NetHunt

Click on the NetHunt node to configure it. You can modify the NetHunt URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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NetHunt

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Connect NetHunt

Sign In

Run node once

Add the Deepgram Node

Next, click the plus (+) icon on the NetHunt node, select Deepgram from the list of available apps, and choose the action you need from the list of nodes within Deepgram.

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Deepgram

Authenticate Deepgram

Now, click the Deepgram node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Deepgram settings. Authentication allows you to use Deepgram through Latenode.

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NetHunt

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Deepgram

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Connect Deepgram

Sign In

Run node once

Configure the NetHunt and Deepgram Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Deepgram Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the NetHunt and Deepgram Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring NetHunt, Deepgram, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the NetHunt and Deepgram integration works as expected. Depending on your setup, data should flow between NetHunt and Deepgram (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect NetHunt and Deepgram

NetHunt + Deepgram + Slack: When a new call log is created in NetHunt, the audio file is transcribed using Deepgram. A summary of the transcription is then posted to a Slack channel for the team to review sales call insights.

Deepgram + NetHunt + Google Sheets: Transcribe a prerecorded audio file from Deepgram, create a comment in NetHunt including the transcription and then add a new row to a Google Sheet with the transcription.

NetHunt and Deepgram integration alternatives

About NetHunt

Sync NetHunt CRM with Latenode to automate sales processes. Update deals, create tasks, or send personalized emails based on triggers. Latenode’s visual editor and flexible tools mean no-code data routing and AI-powered lead qualification — build scalable sales flows without complex scripts.

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

See how Latenode works

FAQ NetHunt and Deepgram

How can I connect my NetHunt account to Deepgram using Latenode?

To connect your NetHunt account to Deepgram on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select NetHunt and click on "Connect".
  • Authenticate your NetHunt and Deepgram accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze customer calls stored in NetHunt using Deepgram?

Yes, you can! Latenode enables seamless integration, letting you automatically transcribe calls from NetHunt using Deepgram for sentiment analysis and improved customer insights.

What types of tasks can I perform by integrating NetHunt with Deepgram?

Integrating NetHunt with Deepgram allows you to perform various tasks, including:

  • Automatically transcribing call recordings stored within NetHunt.
  • Analyzing customer sentiment from call transcripts for lead prioritization.
  • Extracting key topics and keywords from customer conversations.
  • Updating NetHunt records with summarized call insights.
  • Creating automated alerts for critical customer feedback.

How does Latenode handle large NetHunt datasets for Deepgram processing?

Latenode's scalable infrastructure efficiently processes large NetHunt datasets. Batch processing ensures optimal Deepgram transcription and analysis without performance bottlenecks.

Are there any limitations to the NetHunt and Deepgram integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Deepgram transcription accuracy depends on audio quality.
  • Very large audio files may require longer processing times.
  • NetHunt API rate limits may affect very high-volume workflows.

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