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Automatically enrich new NetHunt leads with Data Enrichment on Latenode. Scale lead qualification affordably and customize the logic with JavaScript for advanced data handling.
Connect Data Enrichment and NetHunt in minutes with Latenode.
Create Data Enrichment to NetHunt workflow
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In the workspace, click the “Create New Scenario” button.

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

Select the Data Enrichment node from the app selection panel on the right.

Data Enrichment
Click on the Data Enrichment node to configure it. You can modify the Data Enrichment URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the Data Enrichment node, select NetHunt from the list of available apps, and choose the action you need from the list of nodes within NetHunt.

Data Enrichment
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NetHunt
Now, click the NetHunt node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your NetHunt settings. Authentication allows you to use NetHunt through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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NetHunt
Trigger on Webhook
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Data Enrichment
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Iterator
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Webhook response
After configuring Data Enrichment, NetHunt, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Data Enrichment and NetHunt integration works as expected. Depending on your setup, data should flow between Data Enrichment and NetHunt (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
NetHunt + Data Enrichment + LinkedIn: When a new or updated record is created in NetHunt, trigger a data enrichment task to gather more information. Then, retrieve the LinkedIn profile data based on the enriched information to update the NetHunt record with relevant LinkedIn details.
NetHunt + Data Enrichment + Slack: When a new or updated record is created in NetHunt, trigger a data enrichment task to gather more information. Then, send a Slack message to a designated channel notifying the sales team about the newly enriched lead.
About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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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.
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How can I connect my Data Enrichment account to NetHunt using Latenode?
To connect your Data Enrichment account to NetHunt on Latenode, follow these steps:
Can I enrich new NetHunt contacts automatically?
Yes, you can! Latenode lets you automate this with a visual workflow. Enrich new NetHunt contacts instantly, saving time and ensuring comprehensive data using our no-code Data Enrichment integration.
What types of tasks can I perform by integrating Data Enrichment with NetHunt?
Integrating Data Enrichment with NetHunt allows you to perform various tasks, including:
How can I handle errors when enriching data in NetHunt with Latenode?
Latenode offers robust error handling. Implement retry logic, use conditional branching, or trigger notifications to resolve Data Enrichment failures proactively.
Are there any limitations to the Data Enrichment and NetHunt integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: