Written by Faraz Kelhini✏️
In my recent post “How to make HTTP requests like a pro with Axios,” I discussed the benefits of using the Axios library. Nevertheless, it’s important to acknowledge that Axios is not always an ideal solution, and there are sometimes better options for making HTTP requests.
Without question, some developers prefer Axios over built-in APIs for its ease of use. But many overestimate the need for such a library. The fetch() API is perfectly capable of reproducing the key features of Axios, and it has the added advantage of being readily available in all modern browsers.
In this article, we will compare fetch() and Axios and see how they can be used to perform different tasks. Hopefully, by the end of the article, you’ll have a better understanding of both APIs.
Basic syntax
Before we delve into more advanced features of Axios, let’s compare its basic syntax to fetch(). Here’s how you can use Axios to send a POST request with custom headers to a URL. Axios automatically converts the data to JSON, so you don’t have to.
// axios
const options = {
url: 'http://localhost/test.htm',
method: 'POST',
headers: {
'Accept': 'application/json',
'Content-Type': 'application/json;charset=UTF-8'
},
data: {
a: 10,
b: 20
}
};
axios(options)
.then(response => {
console.log(response.status);
});
Now compare this code to the fetch() version, which produces the same result:
// fetch()
const url = 'http://localhost/test.htm';
const options = {
method: 'POST',
headers: {
'Accept': 'application/json',
'Content-Type': 'application/json;charset=UTF-8'
},
body: JSON.stringify({
a: 10,
b: 20
})
};
fetch(url, options)
.then(response => {
console.log(response.status);
});
Notice that:
- To send data,
fetch()uses the body property, while Axios uses the data property - The data in
fetch()is stringified - The URL is passed as an argument to
fetch(). In Axios, however, the URL is set in the options object
Backward compatibility
One of the main selling points of Axios is its wide browser support. Even old browsers like IE11 can run Axios without any issue. Fetch(), on the other hand, only supports Chrome 42+, Firefox 39+, Edge 14+, and Safari 10.1+ (you can see the full compatibly table on Can I use…).
If your only reason for using Axios is backward compatibility, you don’t really need an HTTP library. Instead, you can use fetch() with a polyfill like this to implement similar functionality on web browsers that do not support fetch(). To begin using the fetch polyfill, install it via npm command:
npm install whatwg-fetch --save
Then you can make requests like this:
import 'whatwg-fetch'
window.fetch(...)
Keep in mind that that you might also need a promise polyfill in some old browsers.
Response timeout
The simplicity of setting timeout in Axios is one of the reasons some developers prefer it to fetch(). In Axios, you can use the optional timeout property in the config object to set the number of milliseconds before the request is aborted. For example:
axios({
method: 'post',
url: '/login',
timeout: 4000, // 4 seconds timeout
data: {
firstName: 'David',
lastName: 'Pollock'
}
})
.then(response => {/* handle the response */})
.catch(error => console.error('timeout exceeded'))
Fetch() provides similar functionality through the AbortController interface. It’s not as simple as the Axios version, though:
const controller = new AbortController();
const options = {
method: 'POST',
signal: controller.signal,
body: JSON.stringify({
firstName: 'David',
lastName: 'Pollock'
})
};
const promise = fetch('/login', options);
const timeoutId = setTimeout(() => controller.abort(), 4000);
promise
.then(response => {/* handle the response */})
.catch(error => console.error('timeout exceeded'));
Here, we create an AbortController object using the AbortController.AbortController() constructor, which allows us to later abort the request. signal is a read-only property of AbortController providing a means to communicate with a request or abort it. If the server doesn’t respond in less than four seconds, controller.abort() is called, and the operation is terminated.
Automatic JSON data transformation
As we said earlier, Axios automatically stringifies the data when sending requests (though you can override the default behavior and define a different transformation mechanism). When using fetch(), however, you’d have to do it manually. Compare:
// axios
axios.get('https://api.github.com/orgs/axios')
.then(response => {
console.log(response.data);
}, error => {
console.log(error);
});
// fetch()
fetch('https://api.github.com/orgs/axios')
.then(response => response.json()) // one extra step
.then(data => {
console.log(data)
})
.catch(error => console.error(error));
Automatic transformation of data is a nice feature to have, but again, it’s not something you can’t do with fetch().
HTTP interceptors
One of the key features of Axios is its ability to intercept HTTP requests. HTTP interceptors come in handy when you need to examine or change HTTP requests from your application to the server or vice versa (e.g., logging, authentication, etc.). With interceptors, you won’t have to write separate code for each HTTP request.
Here’s how you can declare a request interceptor in Axios:
axios.interceptors.request.use(config => {
// log a message before any HTTP request is sent
console.log('Request was sent');
return config;
});
// sent a GET request
axios.get('https://api.github.com/users/sideshowbarker')
.then(response => {
console.log(response.data);
});
In this code, the axios.interceptors.request.use() method is used to define a code to be run before an HTTP request is sent.
By default, fetch() doesn’t provide a way to intercept requests, but it’s not hard to come up with a workaround. You can overwrite the global fetch method and define your own interceptor, like this:
fetch = (originalFetch => {
return (...arguments) => {
const result = originalFetch.apply(this, arguments);
return result.then(console.log('Request was sent'));
};
})(fetch);
fetch('https://api.github.com/orgs/axios')
.then(response => response.json())
.then(data => {
console.log(data)
});
Download progress
Progress indicators are very useful when loading large assets, especially for users with slow internet speed. Previously, JavaScript programmers used the XMLHttpRequest.onprogress callback handler to implement progress indicators.
The Fetch API doesn’t have an onprogress handler. Instead, it provides an instance of ReadableStream via the body property of the response object.
The following example illustrates the use of ReadableStream to provide users with immediate feedback during image download:
// original code: https://github.com/AnthumChris/fetch-progress-indicators
<div id="progress" src="">progress</div>
<img id="img">
<script>
'use strict'
const element = document.getElementById('progress');
fetch('https://fetch-progress.anthum.com/30kbps/images/sunrise-baseline.jpg')
.then(response => {
if (!response.ok) {
throw Error(response.status+' '+response.statusText)
}
// ensure ReadableStream is supported
if (!response.body) {
throw Error('ReadableStream not yet supported in this browser.')
}
// store the size of the entity-body, in bytes
const contentLength = response.headers.get('content-length');
// ensure contentLength is available
if (!contentLength) {
throw Error('Content-Length response header unavailable');
}
// parse the integer into a base-10 number
const total = parseInt(contentLength, 10);
let loaded = 0;
return new Response(
// create and return a readable stream
new ReadableStream({
start(controller) {
const reader = response.body.getReader();
read();
function read() {
reader.read().then(({done, value}) => {
if (done) {
controller.close();
return;
}
loaded += value.byteLength;
progress({loaded, total})
controller.enqueue(value);
read();
}).catch(error => {
console.error(error);
controller.error(error)
})
}
}
})
);
})
.then(response =>
// construct a blob from the data
response.blob()
)
.then(data => {
// insert the downloaded image into the page
document.getElementById('img').src = URL.createObjectURL(data);
})
.catch(error => {
console.error(error);
})
function progress({loaded, total}) {
element.innerHTML = Math.round(loaded/total*100)+'%';
}
</script>
Implementing a progress indicator in Axios is simpler, especially if you use the Axios Progress Bar module. First, you need to include the following style and script:
<link rel="stylesheet" type="text/css" href="https://cdn.rawgit.com/rikmms/progress-bar-4-axios/0a3acf92/dist/nprogress.css" />
<script src="https://cdn.rawgit.com/rikmms/progress-bar-4-axios/0a3acf92/dist/index.js"></script>
Then you can implement the progress bar like this:
<img id="img">
<script>
loadProgressBar();
const url = 'https://fetch-progress.anthum.com/30kbps/images/sunrise-baseline.jpg';
function downloadFile(url) {
axios.get(url, {responseType: 'blob'})
.then(response => {
const reader = new window.FileReader();
reader.readAsDataURL(response.data);
reader.onload = () => {
document.getElementById('img').setAttribute('src', reader.result);
}
})
.catch(error => {
console.log(error)
});
}
downloadFile(url);
</script>
This code uses the FileReader API to asynchronously read the downloaded image. The readAsDataURL method returns the image’s data as a Base64-encoded string, which is then inserted into the src attribute of the img tag to display the image.
Simultaneous requests
To make multiple simultaneous requests, Axios provides the axios.all() method. Simply pass an array of requests to this method, then use axios.spread() to assign the properties of the response array to separate variables:
axios.all([
axios.get('https://api.github.com/users/iliakan'),
axios.get('https://api.github.com/users/taylorotwell')
])
.then(axios.spread((obj1, obj2) => {
// Both requests are now complete
console.log(obj1.data.login + ' has ' + obj1.data.public_repos + ' public repos on GitHub');
console.log(obj2.data.login + ' has ' + obj2.data.public_repos + ' public repos on GitHub');
}));
You can achieve the same result by using the built-in Promise.all() method. Pass all fetch requests as an array to Promise.all(). Next, handle the response by using an async function, like this:
Promise.all([
fetch('https://api.github.com/users/iliakan'),
fetch('https://api.github.com/users/taylorotwell')
])
.then(async([res1, res2]) => {
const a = await res1.json();
const b = await res2.json();
console.log(a.login + ' has ' + a.public_repos + ' public repos on GitHub');
console.log(b.login + ' has ' + b.public_repos + ' public repos on GitHub');
})
.catch(error => {
console.log(error);
});
Conclusion
Axios provides an easy-to-use API in a compact package for most of your HTTP communication needs. However, if you prefer to stick with native APIs, nothing stops you from implementing Axios features.
As discussed in this article, it’s perfectly possible to reproduce the key features of the Axios library using the fetch() method provided by web browsers. Ultimately, whether it’s worth loading a client HTTP API depends on whether you’re comfortable working with built-in APIs.
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The post Axios or fetch(): Which should you use? appeared first on LogRocket Blog.
Latest comments (14)
What about cancelling requests? Am I right to say that axios makes it easy with its cancel token API but fetch doesn’t have any native way to do it?
Now we're asking the real questions
If someone suggests me to use a library for something that can be done just fine without it, then i usually shoo them away, usually whilst wearing a robe.
Then i turn around and continue worshiping our great leader, the minimal payload.
youtube.com/watch?v=xJB2xEeq3MA
For reference, Axios is a 5.5kb library, gzipped.
That is absolutely humongous, relatively speaking.
raw.githubusercontent.com/axios/ax...
angular user, just HttpClient ;D
Hmm.
I believe axios has alias methods (which you even used later in the article), ie.
axios.get()- github.com/axios/axios#request-met...Axios is my go-to for server-side rendering of applications since it works independently of the window. But there's also isomorphic-fetch, so there's that as well. Haven't had any complaints about either. 🤷♂️
Why mutate global objects when you can write a wrapper around it?
There’s a nice wrapper for fetch at github.com/elbywan/wretch
Thanks for that :)
Edit: ouch, 7.6KB minified :x
I guess author did a little bit too much for my taste ;)
Well, axios is 12.6KB minified.
Native fetch is 0KB minified. ;)
Yes it's true, but this can apply to any library and frameworks. Vanilla is always lighter except for the amount of boilerplate code it can bring. And fetch can bring a tons of boilerplate.
I'll cut 3KB (gzipped) on the framework any day to have a good base for the service layer.
I guess priorities differ.
Im not willing to import 12KB of abstractions to use one/two methods of it and i didnt find fetch to bring a lot of boilerpate for me.