[Answers](https://scrapfly.io/blog)   /  [beautifulsoup](https://scrapfly.io/blog/tag/beautifulsoup)   /  [What are some BeautifulSoup alternatives in Python?](https://scrapfly.io/blog/answers/what-are-some-beautifulsoup-alternatives)   # What are some BeautifulSoup alternatives in Python?

 by [Bernardas Alisauskas](https://scrapfly.io/blog/author/bernardas) Oct 24, 2022 1 min read [\#beautifulsoup](https://scrapfly.io/blog/tag/beautifulsoup) [\#css-selectors](https://scrapfly.io/blog/tag/css-selectors) [\#data-parsing](https://scrapfly.io/blog/tag/data-parsing) [\#python](https://scrapfly.io/blog/tag/python) [\#xpath](https://scrapfly.io/blog/tag/xpath) 

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Beautifulsoup is one of the most popular Python packages used in web scraping to parse HTML data. It's not the only library for this in Python though:

### [lxml](https://lxml.de/)

HTML parsing using [CSS selectors](https://scrapfly.io/blog/posts/parsing-html-with-css) or [XPath selectors](https://scrapfly.io/blog/posts/parsing-html-with-xpath). Often faster than beautifulsoup and unlike bs4, lxml supports XPath selectors which are more powerful than CSS selectors. It's also usable as a beautifulsoup backend though bs4 doesn't support XPath selectors.

### [parsel](https://pypi.org/project/parsel/) (recommended)

UX wrapper around `lxml` essentially offering the same capabilities but streamlined for web scraping. This package is also used by [scrapy web scraping framework](https://scrapfly.io/blog/posts/web-scraping-with-scrapy)

### [html5lib](https://pypi.org/project/html5lib/)

Opinionated HTML5 compliant parser that will interpret HTML trees the closest to the way web browser interpret it. It's also usable as a beautifulsoup backend.



 

    Table of Contents- [lxml](#lxml)
- [parsel (recommended)](#parsel-recommended)
- [html5lib](#html5lib)
 
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  ## Related Questions

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