Connect Woovi and Datawrapper to Build Intelligent Automations
Choose a Trigger
When this happens...
New Webhook Event
Choose an Action
Automatically do this!
- Request a new Action for Datawrapper
Enable Integrations or automations with these events of Woovi and Datawrapper
Enable Integrations or automations with these events of Woovi and Datawrapper
Triggers
New Webhook Event
Runs when new webhook event
Actions
Issue Charge Refund
Issue refund for paid charges
Create PIX or Overdue Charge
Create a PIX or overdue charge
Create PIX QR Code
Generate PIX QR & link
Create Pix Key
Create a new Pix key
Create Customer
Add a new customer
List Charges
Retrieve charges using filters
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Frequently Asked Questions
To start, connect both your Woovi and Datawrapper accounts to viaSocket. Once connected, you can set up a workflow where an event in Woovi triggers actions in Datawrapper (or vice versa).
Absolutely. You can customize how Woovi data is recorded in Datawrapper. This includes choosing which data fields go into which fields of Datawrapper, setting up custom formats, and filtering out unwanted information.
The data sync between Woovi and Datawrapper typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Woovi and Datawrapper. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Woovi
Woovi makes it easy to create instant payments — including charges, subscriptions, PIX payments, and webhooks. Build faster, simplify workflows, and increase your revenue with seamless Woovi automation in ViaSocket.
Learn MoreAbout Datawrapper
Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
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