Connect Rebrandly and Adafruit IO to Build Intelligent Automations
Choose a Trigger
When this happens...
New Branded Link
New Click
Choose an Action
Automatically do this!
Create a Group
Ready to use Rebrandly and Adafruit IO automations
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.
New Feed Data
Check if a new data is created in a feed.
New Feed
Check if a new feed is created.
New Group
Check if a new group is created.
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 a Group
Creates a new group.
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Frequently Asked Questions
To start, connect both your Rebrandly and Adafruit IO accounts to viaSocket. Once connected, you can set up a workflow where an event in Rebrandly triggers actions in Adafruit IO (or vice versa).
Absolutely. You can customize how Rebrandly data is recorded in Adafruit IO. This includes choosing which data fields go into which fields of Adafruit IO, setting up custom formats, and filtering out unwanted information.
The data sync between Rebrandly and Adafruit IO 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 Adafruit IO. 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 Adafruit IO
Adafruit IO is a platform for logging, streaming, and interacting with data.
Learn More
