Web Scraping Js

Web scraping at full power. With these tools we can log into sites, click, scroll, execute JavaScript and more. Cloud Functions + Scheduler Many scrapers are useless unless you deploy them. Web Scraping with Javascript and NodeJS Shenesh Perera ● Updated: 02 March, 2021 ● 16 min read Javascript has become one of the most popular and widely used languages due to the massive improvements it has seen and the introduction of the runtime known as NodeJS. Whether it's a web or mobile application, Javascript now has the right tools. You can use web scraping to grab the data, with only a little extra work. Let’s see how we can use client-side web scraping with JavaScript. For an example, I will grab my user information from my public freeCodeCamp profile. But you can use these steps on any public HTML page.

We’d like to continue the sequence of our posts about Top 5 Popular Libraries for Web Scraping in 2020 with a new programming language - JavaScript.

JS is a quite well-known language with a great spread and community support. It can be used for both client and server web scraping scripting that makes it pretty suitable for writing your scrapers and crawlers.

Web scrapers can be developed using any programming language that is Turing complete. Java, PHP, Python, JavaScript, C/C, and C#, among others, have been used for writing web scrapers. Being that as it may, some languages are much more popular than others as far as developing web scrapers are concerned. JavaScript is not a popular choice. Jsdom: jsdom is a pure-JavaScript implementation of many web standards, notably the WHATWG DOM and HTML Standards, for use with Node.js. In general, the goal of the project is to emulate enough of a subset of a web browser to be useful for testing and scraping real-world web applications.

Most of these libraries' advantages can be received by using our API and some of these libraries can be used in stack with it.

So let’s check them out.

The 5 Top JavaScript Web Scraping Libraries in 2020#

1. Axios#

Axios is a promise-based HTTP client for the browser and Node.js.But why exactly this library? There are a lot of libraries that can be used instead of a well-known request: got, superagent, node-fetch. But Axios is a suitable solution not only for Node.js but for client usage too.

Simplicity of usage is shown below:

axios.get('/user?ID=12345')
// handle success
})
// handle error
})
// always executed

Promises are cool, isn’t it?

To get this library you can use one of the preferable ways:

Using npm:

Using bower:

Using yarn:

GitHub repository: https://github.com/axios/axios

2. Cheerio#

Cheerio implements a subset of core jQuery. In simple words - you can just swap your jQuery and Cheerio environments for web scraping. And guess what? It has the same benefit that Axios has - you can use it from client and Node.js as well.

For the sample of usage, you can check another of our articles: Amazon Scraping. Relatively easy.

Also, check out the docs:

Web Scraping Js Library

  • Official docs URL: https://cheerio.js.org/
  • GitHub repository: https://github.com/cheeriojs/cheerio

3. Selenium#

Selenium is a popular Web Driver that has a lot of wrappers for most programming languages. Quality Assurance engineers, automation specialists, developers, data scientists - all of them at least once have used this perfect tool. For Web Scraping it’s like a swiss knife - no additional libraries needed. Any action can be performed with a browser like a real user: page opening, button click, form filling, Captcha resolving and much more.

Selenium may be installed via npm with:

Web scraping jsp

And the usage is a simple too:

const{Builder,By,Key, until}=require('selenium-webdriver');
(asyncfunctionexample(){
let driver =awaitnewBuilder().forBrowser('firefox').build();
await driver.get('http://www.google.com/');
await driver.sendKeys('webdriver',Key.RETURN);
await driver.wait(until.titleIs('webdriver - Google Search'),1000);
await driver.quit();
})();

More info can be found via the documentation:

  • Official docs URL: https://selenium-python.readthedocs.io/
  • GitHub repository: https://github.com/SeleniumHQ/selenium
Web

4. Puppeteer#

There are a lot of things we can say about Puppeteer: it’s a reliable and production-ready library with great community support. Basically Puppeteer is a Node.js library that offers a simple and efficient API and enables you to control Google’s Chrome or Chromium browser. So you can run a particular site's JavaScript (as well as with Selenium) and scrape single-page applications based on Vue.js, React.js, Angular, etc.

We have a great example of using Puppeteer for scraping Angular-based website, you can check it here: AngularJS site scraping. Easy deal?

Also, we’d like to suggest you check out a great curated list of awesome Puppeteer resources: https://github.com/transitive-bullshit/awesome-puppeteer

As well, useful official resources:

  • Official docs URL: https://developers.google.com/web/tools/puppeteer
  • GitHub repository: https://github.com/GoogleChrome/puppeteer

5. Playwright#

Not as well-known a library as Puppeteer, but can be named as Puppeteer 2, since Playwright is a library maintained by former Puppeteer contributors. Unlike Puppeteer it supports Chrome, Chromium, Webkit and Firefox backend.

To install it just run the following command:

Web Scraping Node Js

To be sure, that the API is pretty much the same, you can take a look at the example below:

Axios Web Scraping

for(const browserType of['chromium','firefox','webkit']){
const browser =await playwright[browserType].launch();
const page =await context.newPage();

Web Scraping Js Console

await page.screenshot({ path:`example-${browserType}.png`});
}

Web Scraping Node Js

  • Official docs URL: https://github.com/microsoft/playwright/blob/master/docs/README.md
  • GitHub repository: https://github.com/microsoft/playwright

Web Scraping Jsp

Conclusion#

Web Scraping Json Python

It’s always up to you to decide what to use for your particular web scraping case, but it’s also pretty obvious that the amount of data on the Internet increases exponentially and data mining becomes a crucial instrument for your business growth.

But remember, instead of choosing a fancy tool that may not be of much use, you should focus on finding out a tool that suits your requirements best.