Fetching data is a fundamental part of building dynamic web applications, and tools like Axios and React Query make it easier to handle this task effectively in React.js applications. In this article, we’ll explore how to use Axios and React Query to simplify the process of fetching and managing data in React applications. By the end, you’ll understand why these tools are so popular and how they can boost the efficiency and maintainability of your code.
What is Axios and React Query?
Axios is a lightweight and feature-rich JavaScript library for making HTTP requests. It simplifies API interactions with features like interceptors, request cancellation, and response transformation.
React Query is a state management library designed for handling server state in React. It automates data fetching, caching, and synchronization, making it easier to manage and display API data efficiently.
Why Should You Use Axios and React Query?
Using Axios and React Query together streamlines data fetching and state management in React applications. Axios provides flexibility for making HTTP requests with features like custom headers and interceptors, while React Query simplifies server state handling with built-in caching, automated refetching, and background synchronization. This combination reduces boilerplate code, enhances user experience, and ensures your application is efficient and maintainable.
Let’s get started with a simple project with React JS.
Step 1: Set up the project and install the required libraries
To get started, set up a new React project using Vite for a fast and efficient development environment. Run the following command to create a new Vite project:
npm create vite@latest your-project-name
Follow the prompts to choose a project name and select React with either JavaScript or TypeScript, depending on your preference. After the project is created, navigate to the project directory:
cd your-project-name
npm install
Next, install Axios and React Query, as these are the libraries we’ll be using:
npm install axios @tanstack/react-query
optional: If you prefer using Tailwind CSS for styling, you can remove the default styles provided by Vite and install Tailwind CSS for styling.
Step 2: Implement QueryClient from React Query
After installing the required libraries, the next step is to set up the QueryClient provided by React Query. This client acts as the core of React Query, managing queries and caching. It's best practice to place the QueryClientProvider
at the top-level component to make React Query accessible throughout your application.
Here’s how you can modify your app.tsx
file:
//app.tsx
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
import './App.css';
import ProductList from './components/ProductList';
const queryClient = new QueryClient();
function App() {
return (
<QueryClientProvider client={queryClient}>
<main className="bg-neutral-50 min-h-screen">
<div className="w-[1020px] mx-auto py-4">
<h1 className="text-[2rem] text-neutral-950 font-bold">
React Query with Axios
</h1>
<ProductList />
</div>
</main>
</QueryClientProvider>
);
}
export default App;
Step 3: Create API and Components Folders
Organize your project structure by creating the following folders and files:
-
src/api/fakeStoreApi.ts
for handling data fetching with Axios. -
src/components/ProductList.tsx
for displaying the fetched data.
so the result will be like this:
Step 4: Create an API Service for Fetching Data with Axios
In this step, we create a dedicated service file to manage all API interactions efficiently. For this tutorial, we’ll be using the Fake Store API.
in fakeStoreApi.ts
:
//fakeStoreApi.ts
import axios from 'axios';
const BASE_URL = 'https://fakestoreapi.com';
const axiosInstance = axios.create({
baseURL: BASE_URL,
});
export const getAllProducts = async () => {
try {
const response = await axiosInstance.get('/products');
return response.data;
} catch (error) {
console.error(error);
return null;
}
};
Base URL Configuration:
Utilizesaxios.create
to set up an Axios instance with a default baseURL. This ensures all HTTP requests use the base URL https://fakestoreapi.com.Reusable API Function:
ThegetAllProducts
function is created to fetch product data from the/products
endpoint. This function can be reused across various components in the application.Error Handling:
Implements atry...catch
block to manage errors during API calls. If an error occurs, it logs the error to the console and returns null to avoid breaking the application.
Step 5: Display the Products List in a Component
In this step, we create a ProductList
component to fetch and display product data using React Query. The component will utilize the getAllProducts
function from our API service to retrieve data and then render the products.
in ProductList.tsx
:
//ProductList.tsx
import { useQuery } from '@tanstack/react-query';
import { getAllProducts } from '../api/fakeStoreApi';
type ProductsProps = {
id: number;
title: string;
price: number;
category: string;
description: string;
image: string;
};
export default function ProductList() {
const { data } = useQuery({
queryKey: ['products'],
queryFn: getAllProducts,
});
return (
<div>
{data?.map((product: ProductsProps) => (
<div key={product.id}>
<h2>{product.title}</h2>
</div>
))}
</div>
);
}
then let's add some styling to make it more aesthetic.
//ProductList.tsx
import { useQuery } from '@tanstack/react-query';
import { getAllProducts } from '../api/fakeStoreApi';
type ProductsProps = {
id: number;
title: string;
price: number;
category: string;
description: string;
image: string;
};
export default function ProductList() {
const { data } = useQuery({
queryKey: ['products'],
queryFn: getAllProducts,
});
return (
<div>
<h2 className="text-[1.2rem] text-neutral-900 font-semibold pb-2">
Product List:
</h2>
<div className="grid grid-cols-4 gap-4">
{data?.map((product: ProductsProps) => (
<div
key={product.id}
className="bg-neutral-200 rounded-lg flex flex-col gap-y-2 p-2"
>
<img
src={product.image}
alt={product.title}
className="w-full h-[300px] object-cover rounded-md"
/>
<div>
<p className="text-[0.8rem] text-neutral-600">
{product.category}
</p>
<h3 className="text-[1rem] text-neutral-800 font-medium">
{product.title.length > 20
? `${product.title.slice(0, 20)}...`
: product.title}
</h3>
</div>
<p className="text-[0.9rem] text-neutral-800">${product.price}</p>
</div>
))}
</div>
</div>
);
}
so the final display will look like this:
and also you can add isLoading
and error
states for a better user experience.
//ProducList.tsx
import { useQuery } from '@tanstack/react-query';
import { getAllProducts } from '../api/fakeStoreApi';
type ProductsProps = {
id: number;
title: string;
price: number;
category: string;
description: string;
image: string;
};
export default function ProductList() {
const { data, isLoading, error } = useQuery({
queryKey: ['products'],
queryFn: getAllProducts,
});
if (isLoading) return <p>Loading...</p>;
if (error) return <p>{error.message}</p>;
return (
<div>
<h2 className="text-[1.2rem] text-neutral-900 font-semibold pb-2">
Product List:
</h2>
<div className="grid grid-cols-4 gap-4">
{data?.map((product: ProductsProps) => (
<div
key={product.id}
className="bg-neutral-200 rounded-lg flex flex-col gap-y-2 p-2"
>
<img
src={product.image}
alt={product.title}
className="w-full h-[300px] object-cover rounded-md"
/>
<div>
<p className="text-[0.8rem] text-neutral-600">
{product.category}
</p>
<h3 className="text-[1rem] text-neutral-800 font-medium">
{product.title.length > 20
? `${product.title.slice(0, 20)}...`
: product.title}
</h3>
</div>
<p className="text-[0.9rem] text-neutral-800">${product.price}</p>
</div>
))}
</div>
</div>
);
}
Conclusion
I hope this tutorial has helped you understand how to use Axios and React Query effectively in a React application. By mastering these tools, you can build more robust, efficient, and scalable applications. I encourage you to explore their advanced features and adapt them to suit your specific project needs. You’ll find the project in my github. See you, Thanks guys!
Top comments (6)
Thanks for the tutorial! Axios and React Query are a powerful combination for efficient data fetching and state management. By using EchoAPI, you can streamline API testing and mocking, ensuring smoother integration with React Query and improving app reliability. Check out EchoAPI echoapi.com/.
Thanks for the support! EchoAPI is indeed a great tool—glad the tutorial was helpful! 😊
Hey do you generate those banners with ai or make it with photoshop?
I created it using Figma
thanks for sharing✊❤🔥,, proud of uuuu🥰
Thank you, Difani! Your support means so much to me! 🥰
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