Data Enrichment and Vapi Integration

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Enrich lead data, then trigger personalized Vapi calls—all visually. Latenode's flexible integration and affordable pricing make qualifying leads and personalizing outreach easier. Scale your Data Enrichment and Vapi automation without code.

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Data Enrichment

Vapi

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Data Enrichment and Vapi

Create a New Scenario to Connect Data Enrichment and Vapi

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

Add the Data Enrichment Node

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

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Data Enrichment

Configure the 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.

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Connect Data Enrichment

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Run node once

Add the Vapi Node

Next, click the plus (+) icon on the Data Enrichment 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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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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Configure the Data Enrichment 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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Run node once

Set Up the Data Enrichment 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 Data Enrichment, 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 “Run once” and triggering an event to check if the Data Enrichment and Vapi integration works as expected. Depending on your setup, data should flow between Data Enrichment 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 Data Enrichment and Vapi

Pipedrive + Data Enrichment + Vapi: When a new lead is added to Pipedrive, automatically enrich the lead data. Then, use Vapi to create an outbound phone call to the enriched lead.

HubSpot + Data Enrichment + Vapi: When a new contact is added to HubSpot, automatically enrich the contact details. After enrichment, create an outbound phone call using Vapi.

Data Enrichment and Vapi integration alternatives

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.

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 Data Enrichment and Vapi

How can I connect my Data Enrichment account to Vapi using Latenode?

To connect your Data Enrichment account to Vapi on Latenode, follow these steps:

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

Can I automatically enrich leads gathered via Vapi calls?

Yes, easily! Latenode's visual editor makes this simple. Enrich leads instantly, ensuring your sales team has the best data directly from Vapi calls.

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

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

  • Automatically update contact details in Vapi after data enrichment.
  • Trigger Vapi calls based on enriched data insights.
  • Create personalized call scripts using enriched prospect profiles.
  • Segment Vapi contacts based on data enrichment firmographics.
  • Automate follow-up sequences after enriching leads.

Can I use JavaScript to transform Data Enrichment data on Latenode?

Yes! Latenode lets you use JavaScript for custom data transformations. Tailor Data Enrichment data to precisely fit Vapi call workflows.

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

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

  • Rate limits from Data Enrichment and Vapi still apply.
  • Complex data transformations may require JavaScript coding.
  • Large datasets might affect workflow execution time.

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