Faruq Abdulsalam
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How to connect Flask to ReactJs

How to connect Flask to ReactJs

Faruq Abdulsalam's photo
Faruq Abdulsalam
ยทDec 15, 2021ยท

8 min read

Building web applications with the Flask framework and the inbuilt jinja template is cool but hooking your backend to a react frontend(which I believe we all love ๐Ÿ˜‰) is much more interesting. In this tutorial, you are going to be taken through the easy steps you need to take to connect your Flask backend to a React frontend.


1) Beginner level understanding of the flask framework. If you are new to Flask you can check out my article on how to set up your flask project and use it with the jinja template engine here.

2) Familiarity with the basics of ReactJs. You will be making use of the useState hook and also fetching data from API using axios.

Let's get started!!

Project directory

Create the project directory where your application will be stored and then navigate into it.

mkdir project
cd project

React frontend setup

Create the frontend react application by running:

npx create-react-app flask_react

Move into the flask_react directory

cd flask_react

and then start the frontend application by running

npm start

The default react application page should pop up in your browser; if it does not, copy and open the link below in your browser.


react default

Flask backend setup

Create a new directory in your base directory

mkdir backend

then navigate into it

cd backend

If you have been following my Building a web application with Flask series you should know the next thing that needs to be created. Yes, a virtual environment. Did you happen to get that right? ๐Ÿ˜€

Virtual environment

It is recommended to always create a virtual environment before you start your project. This helps you to separate the packages you use in this application from other applications; any change you make here won't affect the same package in another application on your system. To create a virtual environment on your system; run this command:

For mac/unix users: python3 -m venv env
For windows users: py -m venv env

After creating the environment, activate it by running :

For mac/unix users: source env/bin/activate
For windows users: .\env\Scripts\activate

Installing Flask

Now that you have your environment up and running, you can go ahead and install Flask

pip install flask

The next thing is to register the script in an environment file.

pip install python-dotenv

After successful installation, create the .flaskenv file in the backend directory created above.

touch .flaskenv

Please note that the preceding . is very important. If you name your file just flaskenv, any environment variable you'll put in it won't be read.

Now put your environment variables in the .flaskenv file:


The application environment is set to development mode so you can easily debug your application and the base.py file which will contain your flask application will be created in the next section.

If the above approach is not used, you would need to keep on exporting your environment variables using export FLASK_APP=base.py and export FLASK_ENV=development whenever you restart your terminal window.

Note: To ensure that the focus of this article doesn't deviate, I'll be making the flask backend structure simple. If you want to build bigger projects you definitely have to create a better folder structure for your application. You can check out my articles on Getting started with Flask and Building a Todo List Application with Flask if you need to learn how to create a folder structure for larger projects.

base py script

Create a new file base.py in the backend directory where the .flaskenv directory is also located.

touch base.py

Your folder structure should currently look like ๐Ÿ‘‡ Folder structure

Inside the base.py script create a simple API that returns your name and info about you:

from flask import Flask

api = Flask(__name__)

def my_profile():
    response_body = {
        "name": "Nagato",
        "about" :"Hello! I'm a full stack developer that loves python and javascript"

    return response_body

The code above contains a simple API which would be called by the react front end to get the response_body dictionary.

You might have noticed two things: i) the GET http method is not specified here. This is because, by default, view functions in flask accept GET requests only. ii) the response_body dictionary being returned at the end of the function is not being passed as an argument to the popular jsonify function like this jsonify(response_body). This is because view functions in Flask can return a dictionary, which Flask then turns to JSON format.

The backend has been successfully set up, you can test this by running your application.

flask run

Then navigate to the url should see the dictionary response_body rendered in JSON format.


You could also use postman to confirm this and you'll still get the same result. postman-api-call

If you want to push your code to source control. Don't forget to add your env and __pycache__ folders to the gitignore file in the base directory.


Connecting the API endpoint(/profile) to the react frontend

Now you can return to the base directory where the react frontend is located.

cd ..

Install the axios library:

npm install axios

package json

Open the package.json file and add the proxy below the "private": true, line so it ends up like ๐Ÿ‘‡.

  "name": "flask_react",
  "version": "0.1.0",
  "private": true,
  "proxy": "http://localhost:5000", //newline

By doing this, you will be able to use relative paths when you are making the API requests. Instead of making use of http://localhost:5000/profile you can simply make use of /profile.

Note: The default url which is normally used to access flask applications in the browser is but http://localhost:5000 was used above as the value to the proxy key. Don't be confused, they are both the same. You can read more on that here

Don't close the package.json file yet. There is something cool you can add as well. You know that whenever your react server is started and you make any change in a file and you save it, the server restarts so that the new change can reflect right?. You can also add that feature to your flask backend application. This is another advantage of connecting react to flask ๐Ÿ˜Ž.

Under the scripts section add another key and value. "start-backend": "cd backend && env/bin/flask run --no-debugger",

Now you can start your backend server with npm run start-backend. This executes the command passed as its value in the package.json file. It navigates into the env directory in your backend directory and executes the flask run command.

The --no-debugger option is also passed here to disable the browser-based debugger as the Flask backend only serves as a server that holds the API endpoint.

app js file

Here, you'll be making the call to the API endpoint in the flask backend server. After the changes, the app.js file will look exactly like ๐Ÿ‘‡

import { useState } from 'react'
import axios from "axios";
import logo from './logo.svg';
import './App.css';

function App() {

   // new line start
  const [profileData, setProfileData] = useState(null)

  function getData() {
      method: "GET",
    .then((response) => {
      const res =response.data
        profile_name: res.name,
        about_me: res.about}))
    }).catch((error) => {
      if (error.response) {
    //end of new line 

  return (
    <div className="App">
      <header className="App-header">
        <img src={logo} className="App-logo" alt="logo" />
          Edit <code>src/App.js</code> and save to reload.
          rel="noopener noreferrer"
          Learn React

        {/* new line start*/}
        <p>To get your profile details: </p><button onClick={getData}>Click me</button>
        {profileData && <div>
              <p>Profile name: {profileData.profile_name}</p>
              <p>About me: {profileData.about_me}</p>
         {/* end of new line */}

export default App;

Now let's go through the new lines of code added to the app.js file.

At the top of the file, the useState hook and axios module are both imported.

Then inside the function named App the useState hook is used to control the state of the profileData variable.

The getData function handles the API calls. It contains the axios module which is used to send a GET request to the API endpoint(\profile) on the backend which responds with the jsonified format of the dictionary declared in the view function.

Next, the setProfileData function updates the state of profileData by assigning the data in the json response to profile_name and about_me.

The getData function is only called when the click me button is pressed.

Finally && is used as a conditional operator, to avoid getting an error. profileData is going to be assigned an initial null state when the application first loads so if you try to access profileData.profile_name or profileData.about_me you get an error message.

TypeError: Cannot read properties of null (reading 'profile_name')

Hence the need for the && conditional operator, so that the application only knows of the existence of the profileData.profile_name and profileData.about_me codes when the value of profileData has changed from null to containing the response data from the API call.

You don't need to make changes to any other file in the base directory. The work on the frontend part of the application is now complete. Now you can go ahead and test it:

Step1: start your backend server using npm run start-backend note this command can be run while you are in any directory; be it the base directory(flask_react) or the flask directory (backend)

Step2: start your react server using npm start


Now click on the click me button to make the API call and get the name and about_me data from the backend. api call made to get name and about me data

Voila!! you have successfully connected your flask backend to your react frontend. Now I am sure you can build small API endpoints in your flask backend and call the endpoints from your react frontend.

If you have any questions, feel free to drop them as a comment or send me a message on Linkedin or Twitter and I'll ensure I respond as quickly as I can.

Incase you are a Django lover, you would definitely love to connect it to React as well. You can check out my article on How to connect Django to ReactJs to learn how to go about that. Ciao ๐Ÿ‘‹


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