DAKboard can fetch data from other online sources via a URL. To use this feature, in the DAKboard options, under Custom Screen Settings, click the Add a Block button and select External Data/Fetch. Resize/move the block as needed, then click the pencil icon to edit the block settings. Here you'll see a URL field where you can enter the URL of your text/JSON file. 

The format of the data DAKboard is expecting should be one of the following formats:

Plain Text:

DAKboard will fetch and display plain text from a URL:

Sales today: 176

JSON Object:

DAKboard can also fetch a JSON object in name-value pair format like the following example:

"timestamp":"2018-09-12 16:23:11"

After adding the URL in the Fetch block settings, you can then select which data points to show on DAKboard, and set a name and optionally a description and icon:

Save changes to the Fetch block, and it will appear on your DAKboard looking like this: 

JSON Array:

DAKboard can also fetch an array of JSON data formatted as follows:


Value is a required field. The title and subtitle are optional.


DAKboard supports fetching JSON data with the following authentication methods: 

  • None
  • Basic (username/password)
  • Bearer Token

Custom Images from JSON Data:

In the JSON block settings, you can enter another JSON field name into the "Icon Name" field to display an image from a URL that is part of the returned JSON:

The icon name should be appended with two underscores ( __ ). If it's multiple levels deep in your JSON data, it would look like:


This adds the URL to an img tag and displays it on the screen. We gave it a class name of JSON-data-icon if you need to style it further in the custom CSS.

Also, just a note: that URL field could also contain a FontAwesome icon class name if you wanted to provide the class name and use the existing icon set.

Additional Formatting:

DAKboard supports the additional formatting of data by both rounding and truncating:

Having Trouble?

- Create a Support Ticket

#features #featurelist #json #fetch #externaldata