Connect Rebrandly and D3.Js to Build Intelligent Automations
Choose a Trigger
When this happens...
New Branded Link
New Click
Choose an Action
Automatically do this!
Create Chart
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Branded Link
Trigger when create a new branded link.
New Click
Triggers when the Branded Link receives a new click.
Do thisActions
Action is the task that follows automatically within your Rebrandly integrations.
Create Branded Link
create a short branded link from any url.
Update Branded Link
update the destination url of branded link
Create New Tag
Creates a new tag in Rebrandly.
Create Chart
Creates a chart image or embeddable snippet and returns a link to it.
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Frequently Asked Questions
To start, connect both your Rebrandly and D3.Js accounts to viaSocket. Once connected, you can set up a workflow where an event in Rebrandly triggers actions in D3.Js (or vice versa).
Absolutely. You can customize how Rebrandly data is recorded in D3.Js. This includes choosing which data fields go into which fields of D3.Js, setting up custom formats, and filtering out unwanted information.
The data sync between Rebrandly and D3.Js 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 Rebrandly and D3.Js. 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 Rebrandly
Rebrandly is the easiest way to create and share branded links (short URLs using your own domain name).
Learn MoreAbout D3.Js
D3.js is a powerful JavaScript library for producing dynamic, interactive data visualizations in web browsers. It leverages the full capabilities of modern web standards without being tied to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.
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