[Answers](https://scrapfly.io/blog)   /  [css-selectors](https://scrapfly.io/blog/tag/css-selectors)   /  [How to use CSS selectors in NodeJS when web scraping?](https://scrapfly.io/blog/answers/how-to-use-css-selectors-in-nodejs)   # How to use CSS selectors in NodeJS when web scraping?

 by [Bernardas Alisauskas](https://scrapfly.io/blog/author/bernardas) Oct 31, 2022 1 min read [\#css-selectors](https://scrapfly.io/blog/tag/css-selectors) [\#data-parsing](https://scrapfly.io/blog/tag/data-parsing) [\#nodejs](https://scrapfly.io/blog/tag/nodejs) 

 [  ](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs "Share on LinkedIn")    

 

 

To parse web scraped content in NodeJS using CSS selectors we recommend the [Cheerio](https://github.com/cheeriojs/cheerio) library:

javascript```javascript
const cheerio = require('cheerio');

const $ = cheerio.load(`

    <h1>Page title</h1>
<p>some paragraph</p>
<a href="http://scrapfly.io/blog">some link</a>

`);

$('h1').text();
"Page title"
$('a').attribute("href");
"http://scrapfly.io/blog"
```



Another popular library is [Osmosis](https://github.com/rchipka/node-osmosis) which supports HTML parsing through both CSS and XPath selectors:

javascript```javascript
const osmosis = require("osmosis");

const html = `
<a class="link" href="http://scrapfly.io/">link 1</a>
<a class="link" href="http://scrapfly.blog/">link 2</a>
`
osmosis
    .parse(html)
    .find('a.link') 
    .log(console.log);
```





 

    



Scale Your Web Scraping

Anti-bot bypass, browser rendering, and rotating proxies, all in one API. Start with 1,000 free credits.

  No credit card required  1,000 free API credits  Anti-bot bypass included 

 [Start Free](https://scrapfly.io/register) [View Docs](https://scrapfly.io/docs/onboarding) 

 Not ready? Get our newsletter instead. 

 

## Explore this Article with AI

 [ ChatGPT ](https://chat.openai.com/?q=Summarize%20this%20page%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs) [ Gemini ](https://www.google.com/search?udm=50&aep=11&q=Summarize%20this%20page%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs) [ Grok ](https://x.com/i/grok?text=Summarize%20this%20page%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs) [ Perplexity ](https://www.perplexity.ai/search/new?q=Summarize%20this%20page%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs) [ Claude ](https://claude.ai/new?q=Summarize%20this%20page%3A%20https%3A%2F%2Fscrapfly.io%2Fblog%2Fanswers%2Fhow-to-use-css-selectors-in-nodejs) 



 ## Related Articles

 [  

 http nodejs 

### Web Scraping With NodeJS and Javascript

In this article we'll take a look at scraping using Javascript through NodeJS. We'll cover common web scraping libraries...

 

 ](https://scrapfly.io/blog/posts/web-scraping-with-nodejs) [  

 data-parsing css-selectors 

### Parsing HTML with CSS Selectors

Introduction to using CSS selectors to parse web-scraped content. Best practices, available tools and common challenges ...

 

 ](https://scrapfly.io/blog/posts/parsing-html-with-css) [  

 python data-parsing 

### How to Parse Web Data with Python and Beautifulsoup

Beautifulsoup is one the most popular libraries in web scraping. In this tutorial, we'll take a hand-on overview of how ...

 

 ](https://scrapfly.io/blog/posts/web-scraping-with-python-beautifulsoup) 

  ## Related Questions

- [ Q How to find HTML elements by text with Cheerio and NodeJS? ](https://scrapfly.io/blog/answers/how-to-find-html-elements-by-text-with-cheerio)
- [ Q How to select HTML elements by text using CSS Selectors? ](https://scrapfly.io/blog/answers/how-to-select-elements-by-text-using-css-selectors)
- [ Q How to use XPath selectors in NodeJS when web scraping? ](https://scrapfly.io/blog/answers/how-to-use-xpath-selectors-in-nodejs)
- [ Q How to use XPath selectors in Python? ](https://scrapfly.io/blog/answers/how-to-use-xpath-selectors-in-python)
 
  



   



 Extract structured data with AI, **1,000 free credits** [Start Free](https://scrapfly.io/register)