Cisco Spark

Cisco Spark

Exploring the Cisco Spark Developer API Docs

Cisco Spark is a collaboration platform that offers a developer API to build integrations and automation into a wide range of applications. In this blog post, we will explore the Cisco Spark Developer API Docs and provide examples of how to call some of the APIs using JavaScript.

Getting Started

To start exploring the Cisco Spark Developer API, you’ll need to sign up for a Cisco Spark account and register an application to get the API access token. Once you have your access token, you can use it to authenticate and make API requests.

Calling the Cisco Spark API with JavaScript

The Cisco Spark APIs use RESTful architecture, which means you interact with the API using HTTP requests such as GET, POST, PUT, and DELETE. You can use JavaScript’s Fetch API to make these requests and fetch data from the Cisco Spark API.

Here’s an example of how to make a GET request to retrieve the details of a specific room using the Cisco Spark API in JavaScript:

const roomId = 'abcdefghijklmnopqrstuvwxyz';
const accessToken = 'your_access_token';
const url = `${roomId}`;

fetch(url, {
    headers: {
        Authorization: 'Bearer ' + accessToken,
    .then((response) => response.json())
    .then((data) => {
    .catch((error) => console.log(error));

In this example, we set the roomId variable to the ID of the room we want to retrieve details for and the accessToken variable to our Cisco Spark API access token. We then construct the URL to call the API by interpolating the roomId variable in the URL string.

We use the Fetch API to make the HTTP GET request, passing the URL and headers with the access token in the Authorization field. Once the API response is returned, we parse the JSON data using the response.json() method and log it to the console.


We hope this short introduction has been helpful in exploring the Cisco Spark Developer API Docs and learning how to call APIs using JavaScript. There are many more API endpoints and functionalities available to explore, and we encourage you to check out the Cisco Spark Developer API Docs to learn more. Happy coding!