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Automatically enrich leads gathered on Render landing pages with detailed insights from Data Enrichment tools. Latenode's visual editor makes it easy to filter and qualify high-value prospects while keeping costs low with affordable, execution-based pricing.
Connect Render and Data Enrichment in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

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

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

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

Render
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Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment 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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Data Enrichment
Trigger on Webhook
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Render
β
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Iterator
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Webhook response
After configuring Render, Data Enrichment, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Render and Data Enrichment integration works as expected. Depending on your setup, data should flow between Render and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Render + Data Enrichment + Slack: When a new deployment is completed on Render, enrich the deployment data using Data Enrichment, and then send a message to a specified Slack channel with the enriched information.
Render + Data Enrichment + Google Sheets: When a new service is created on Render, enrich its data using Data Enrichment and log the enriched data into a Google Sheet for analysis and tracking.
About Render
Automate Render deployments with Latenode. Trigger server actions (like scaling or updates) based on events in other apps. Monitor build status and errors via Latenode alerts and integrate Render logs into wider workflow diagnostics. No-code interface simplifies setup and reduces manual DevOps work.
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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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How can I connect my Render account to Data Enrichment using Latenode?
To connect your Render account to Data Enrichment on Latenode, follow these steps:
Can I enrich lead data when a new Render app deploys?
Yes, you can! Latenode allows you to trigger data enrichment workflows upon Render deployments, automatically updating your CRM with valuable lead insights to improve sales effectiveness.
What types of tasks can I perform by integrating Render with Data Enrichment?
Integrating Render with Data Enrichment allows you to perform various tasks, including:
Can I trigger Render deployments based on enriched data profiles?
Yes, using Latenode's advanced logic, you can trigger Render deployments based on specific criteria derived from Data Enrichment insights, optimizing app versions.
Are there any limitations to the Render and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: