PostgreSQL and NetHunt Integration

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Keep your NetHunt CRM aligned with PostgreSQL data. Latenode's visual editor makes it easy to automate updates based on database changes and scale complex data workflows affordably without code.

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PostgreSQL

NetHunt

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and NetHunt

Create a New Scenario to Connect PostgreSQL and NetHunt

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 PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or NetHunt will be your first step. To do this, click "Choose an app," find PostgreSQL or NetHunt, and select the appropriate trigger to start the scenario.

Add the PostgreSQL Node

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

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PostgreSQL

Configure the PostgreSQL

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

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PostgreSQL

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Connect PostgreSQL

Sign In

Run node once

Add the NetHunt Node

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

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PostgreSQL

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NetHunt

Authenticate 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.

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PostgreSQL

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NetHunt

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Configure the PostgreSQL and NetHunt 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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NetHunt Oauth 2.0

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The action ID

Run node once

Set Up the PostgreSQL and NetHunt 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 PostgreSQL, 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.

Test the Scenario

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

Most powerful ways to connect PostgreSQL and NetHunt

PostgreSQL + NetHunt + Slack: When a new row is added or updated in a PostgreSQL database, a new lead is created in NetHunt. A notification is then sent to a designated Slack channel informing the sales team about the new lead.

NetHunt + PostgreSQL + Google Sheets: When a new lead is created or updated in NetHunt, the lead information is added as a new row to a PostgreSQL database. That database data is then synced to a Google Sheet for reporting and analysis.

PostgreSQL and NetHunt integration alternatives

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.

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.

See how Latenode works

FAQ PostgreSQL and NetHunt

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

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

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

Can I sync new NetHunt contacts to PostgreSQL?

Yes, you can! Latenode's visual editor makes it easy to sync new NetHunt contacts to PostgreSQL automatically. This helps ensure your databases stay aligned without manual data entry.

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

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

  • Automatically backing up new NetHunt leads to a PostgreSQL database.
  • Updating contact information in NetHunt based on PostgreSQL data changes.
  • Creating custom reports combining data from both PostgreSQL and NetHunt.
  • Triggering NetHunt email campaigns based on PostgreSQL database entries.
  • Synchronizing product data for targeted marketing campaigns.

How does Latenode handle large PostgreSQL datasets efficiently?

Latenode uses optimized data streaming and processing techniques to handle large PostgreSQL datasets efficiently, ensuring smooth workflow execution even with high data volumes.

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

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

  • Initial data synchronization may require significant processing time for large datasets.
  • Complex data transformations may require custom JavaScript coding.
  • Real-time synchronization depends on the API rate limits of both PostgreSQL and NetHunt.

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