NetHunt and PostgreSQL Integration

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Centralize NetHunt data in PostgreSQL for advanced reporting and analytics. Latenode's visual editor simplifies complex data transformations, while affordable execution pricing optimizes cost. Scale custom CRM insights with ease.

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NetHunt

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect NetHunt and PostgreSQL

Create a New Scenario to Connect NetHunt and PostgreSQL

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 PostgreSQL will be your first step. To do this, click "Choose an app," find NetHunt or PostgreSQL, 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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Sign In

Run node once

Add the PostgreSQL Node

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

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PostgreSQL

Authenticate PostgreSQL

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

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NetHunt

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PostgreSQL

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Configure the NetHunt and PostgreSQL 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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PostgreSQL Oauth 2.0

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The action ID

Run node once

Set Up the NetHunt and PostgreSQL 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, PostgreSQL, 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 PostgreSQL integration works as expected. Depending on your setup, data should flow between NetHunt and PostgreSQL (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 PostgreSQL

NetHunt + PostgreSQL + Google Sheets: When a NetHunt deal is closed (updated record), the deal data is archived to PostgreSQL. At the end of each month, a summary of closed deals is generated from PostgreSQL and added to a Google Sheet.

PostgreSQL + NetHunt + Slack: When new customer data is added to PostgreSQL (new row), a corresponding record is created in NetHunt. The sales team is then alerted in Slack with details of the new customer.

NetHunt and PostgreSQL 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 PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

See how Latenode works

FAQ NetHunt and PostgreSQL

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

To connect your NetHunt account to PostgreSQL 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 PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I synchronize NetHunt contacts with PostgreSQL database?

Yes, you can! Latenode's visual editor simplifies data synchronization, allowing you to keep your NetHunt contacts and PostgreSQL database aligned automatically. This ensures data consistency and unlocks advanced reporting.

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

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

  • Backing up NetHunt data to a secure PostgreSQL database.
  • Creating custom reports using NetHunt data in PostgreSQL.
  • Automatically updating PostgreSQL with new NetHunt contacts.
  • Triggering actions in NetHunt based on PostgreSQL data changes.
  • Enriching NetHunt records with data from PostgreSQL tables.

How secure is the NetHunt integration within the Latenode platform?

Latenode employs enterprise-grade security, including encryption and access controls, ensuring your NetHunt and PostgreSQL data remains protected during integration and automation workflows.

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

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

  • Initial data synchronization may take time depending on database size.
  • Complex data transformations may require JavaScript knowledge.
  • Rate limits of NetHunt and PostgreSQL may impact high-volume operations.

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