Connect Pastel and Datawrapper to Build Intelligent Automations

Choose a Trigger

Pastel

When this happens...

Choose an Action

Datawrapper

Automatically do this!

Enable Integrations or automations with these events of Pastel and Datawrapper

Enable Integrations or automations with these events of Pastel and Datawrapper

Triggers

New Canvases

New Canvases

Triggers when a new canvas is created.

New Project

New Project

Triggers when a new Project is created.

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Frequently Asked Questions

How do I start an integration between Pastel and Datawrapper?

To start, connect both your Pastel and Datawrapper accounts to viaSocket. Once connected, you can set up a workflow where an event in Pastel triggers actions in Datawrapper (or vice versa).

Can we customize how data from Pastel is recorded in Datawrapper?

Absolutely. You can customize how Pastel 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.

How often does the data sync between Pastel and Datawrapper?

The data sync between Pastel and Datawrapper typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Pastel to Datawrapper?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Pastel and Datawrapper?

Yes, you can set conditional logic to control the flow of data between Pastel 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.

Pastel

About Pastel

Pastel helps web designers and developers collect and organize contextual feedback from colleagues and clients on the web projects they're building.

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Datawrapper

About 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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