PostgreSQL and Vapi Integration

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Automate personalized communication based on real-time data: connect PostgreSQL to Vapi and use Latenode's visual editor to build workflows that trigger SMS/email campaigns, enhanced with custom logic using JavaScript, all at affordable execution-based pricing.

Swap Apps

PostgreSQL

Vapi

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Vapi

Create a New Scenario to Connect PostgreSQL and Vapi

In the workspace, click the β€œCreate 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 Vapi will be your first step. To do this, click "Choose an app," find PostgreSQL or Vapi, 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

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Run node once

Add the Vapi Node

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

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Vapi

Authenticate Vapi

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

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Vapi

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Configure the PostgreSQL and Vapi 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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Select an action *

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The action ID

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Run node once

Set Up the PostgreSQL and Vapi 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, Vapi, 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 β€œRun once” and triggering an event to check if the PostgreSQL and Vapi integration works as expected. Depending on your setup, data should flow between PostgreSQL and Vapi (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 Vapi

Vapi + PostgreSQL + Slack: When a new call is created in Vapi, the call details are logged into a PostgreSQL database. A Slack notification is sent to a specified channel informing about the new call and its details.

Vapi + PostgreSQL + Google Sheets: When a new call is created in Vapi, the call data is logged into a PostgreSQL database. Periodically, the data from PostgreSQL is summarized and updated in a Google Sheet for reporting purposes.

PostgreSQL and Vapi 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 Vapi

Use Vapi in Latenode to validate and standardize address data. Ensure accurate deliveries and prevent errors by cleaning addresses directly within your workflows. Vapi integration inside Latenode makes data cleaning repeatable and scalable without extra coding. Automate address verification as part of lead gen, order processing, or CRM upkeep.

See how Latenode works

FAQ PostgreSQL and Vapi

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

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

Can I automatically update Vapi contacts from PostgreSQL data?

Yes, with Latenode! Trigger workflows on PostgreSQL changes to seamlessly update Vapi, ensuring your contact information is always current. Leverage Latenode's scheduling for automated syncs.

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

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

  • Sync new PostgreSQL records as Vapi contact profiles.
  • Update Vapi call outcomes based on PostgreSQL data analysis.
  • Trigger Vapi SMS campaigns from new PostgreSQL database entries.
  • Create PostgreSQL backups after successful Vapi outreach programs.
  • Log Vapi interaction details in PostgreSQL for reporting.

How do I handle large datasets from PostgreSQL in my Latenode Vapi workflows?

Latenode efficiently handles large PostgreSQL datasets. Use pagination and data chunking within your flows to process information smoothly for Vapi actions.

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

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

  • Complex data transformations may require custom JavaScript code.
  • Rate limits from Vapi can affect high-volume workflows.
  • Initial setup requires a basic understanding of PostgreSQL database structures.

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