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Automatically enrich data gathered by Wachete with Latenode's visual editor and Data Enrichment tools. Use JavaScript for custom logic, scale affordably by paying only for execution time, and ensure your data is always comprehensive.
Connect Data Enrichment and Wachete 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 Data Enrichment, triggered by another scenario, or executed manually (for testing purposes). In most cases, Data Enrichment or Wachete will be your first step. To do this, click "Choose an app," find Data Enrichment or Wachete, and select the appropriate trigger to start the scenario.

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

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

Data Enrichment
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Wachete
Now, click the Wachete node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Wachete settings. Authentication allows you to use Wachete 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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Wachete
Trigger on Webhook
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Data Enrichment
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β
Iterator
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Webhook response
After configuring Data Enrichment, Wachete, 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 Data Enrichment and Wachete integration works as expected. Depending on your setup, data should flow between Data Enrichment and Wachete (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Wachete + Data Enrichment + Slack: When Wachete detects a change on a monitored website, the company data associated with the website is enriched. A message is then sent to a Slack channel to notify the sales team of a potential prospect.
Wachete + Data Enrichment + Pipedrive: When Wachete detects a change on a competitor's website, their company data is enriched, and a new lead is created in Pipedrive.
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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About Wachete
Use Wachete in Latenode to monitor website changes and trigger automated actions. Get notified of price drops, content updates, or competitor activity, then use Latenode to update databases, send alerts, or adjust strategies β all visually. Automate critical responses faster than ever.
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How can I connect my Data Enrichment account to Wachete using Latenode?
To connect your Data Enrichment account to Wachete on Latenode, follow these steps:
Can I enrich scraped website data automatically?
Yes, you can! Latenode's visual editor makes it easy to trigger Data Enrichment from Wachete events for immediate data enhancement, streamlining your workflow.
What types of tasks can I perform by integrating Data Enrichment with Wachete?
Integrating Data Enrichment with Wachete allows you to perform various tasks, including:
How does Latenode handle large Data Enrichment datasets?
Latenode's scalable architecture efficiently processes large datasets, ensuring smooth performance when enriching Wachete data at scale.
Are there any limitations to the Data Enrichment and Wachete integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: