Build a Simple Website with React, Axios, and a REST API Built with MongoDB Atlas App Services
Maxime Beugnet4 min read • Published Feb 14, 2022 • Updated Jan 26, 2023
FULL APPLICATION
In this blog post, I will show you how we can use a REST API that I created with the help of MongoDB Atlas App Services to access my data in my MongoDB Atlas cluster and display the result of the query in a website built with React.
At the end of this tutorial, you will have a basic React project capable of retrieving a list of countries through a REST API and displaying them on a web page.
In the next blog post, I will use this project as a starting point. The list of countries will become a filter for a bunch of charts built with MongoDB Charts that I will be able to import into a website using the MongoDB Charts SDK. The final result will be a COVID-19 dashboard which will be easy to filter by country.
Please check that your versions of
node
, npm
, and npx
are close to my versions:In the body of this blog post, I will step through how to build this app. If you don't want to follow along, and you prefer to jump to the final project, you can clone this repository from Github:
The last command should automatically open a new tab in your favorite browser at the address http://localhost:3000, and you should see the default React spinning logo. Before we continue, we can simplify the project by removing all the files we don't need.
We now have a clean canvas for the next step.
Axios is a promise-based HTTP client for Node.js and the most famous HTTP client, as far as I know, with currently more than 14 million weekly downloads. We will use it to query our REST API and retrieve the list of countries to display.
As mentioned in the introduction, the REST API we are going to use in this blog post already exists and was created using MongoDB Atlas App Services so it can scale easily and automatically. This REST API exposes metadata from the COVID-19 Open Data Cluster that we made publicly available. Check out this blog post for all the details.
This is the REST API we will use. You can open it in a new tab in your browser or use the curl command:
The result from accessing this REST API is a JSON document that looks like this:
And it contains the list of countries that I want, which is the list of all the countries that exist in the Johns Hopkins University data set.
Now that we have everything we need to build our React website, let's code!
If you followed all the instructions so far, here is what your working folder should look like:
Let's now edit the contents of
public/index.html
. Nothing really fancy compared to the original version that came with the sample application. I just removed what wasn't necessary.The only thing that we need to notice in this file is the fact that we now have an empty
div
with an id root
which we will use to inject our React content.Let's create a new file
src/index.js
:We are now injecting our React content into our website and the content will be what the new
RestExample
component will render.You can now start the project with the command:
There are a few things that are worth explaining here if you are new to React:
- On line 6, we are creating a state,
countries
, that is initialised to an empty array and a functionsetCountries()
that can alter the value of that variable. More documentation here. - With the help of the
useEffect()
function (starting at line 8) and the Axios library, we can execute the function once, extract the countries from the response, and set thecountries
values from our list. More documentation here. - Finally, our function component will render the returned content. The
countries.map()
function iterates over the list of countries and transforms each of the strings into an<li>
tag to create an HTML unordered list.
The final website should look like this:
If you got confused at any point, and your app isn't working, just clone the final project:
In this blog post, you learned how to create a basic React website that uses Axios to retrieve data from a MongoDB Atlas Cluster using a REST API implemented with MongoDB Atlas App Services.
In the next blog post in this series, we'll extend this project so that we can integrate some charts from MongoDB Charts. We'll show COVID-19 data for a country and select which country we want to filter by. Stay tuned!
If you have questions, please head to our developer community website where the MongoDB engineers and the MongoDB community will help you build your next big idea with MongoDB.