CODEWITHSUNDEEP
pythonweb-scrapinghtml-parsingbeautifulsouplxml
LaGuille
LaGuille

Reputation: 1728

Beautiful Soup and Table Scraping - lxml vs html parser

I'm trying to extract the HTML code of a table from a webpage using BeautifulSoup.

<table class="facts_label" id="facts_table">...</table>

I would like to know why the code bellow works with the "html.parser" and prints back none if I change "html.parser" for "lxml". 

#! /usr/bin/python

from bs4 import BeautifulSoup
from urllib import urlopen

webpage = urlopen('http://www.thewebpage.com')
soup=BeautifulSoup(webpage, "html.parser")
table = soup.find('table', {'class' : 'facts_label'})
print table

Upvotes: 24

Views: 37771

Answers (2)

redreamality
redreamality

Reputation: 1166

Short answer.

If you already installed lxml, just use it.

html.parser - BeautifulSoup(markup, "html.parser")

  • Advantages: Batteries included, Decent speed, Lenient (as of Python 2.7.3 and 3.2.)

  • Disadvantages: Not very lenient (before Python 2.7.3 or 3.2.2)

lxml - BeautifulSoup(markup, "lxml")

  • Advantages: Very fast, Lenient

  • Disadvantages: External C dependency

html5lib - BeautifulSoup(markup, "html5lib")

  • Advantages: Extremely lenient, Parses pages the same way a web browser does, Creates valid HTML5

  • Disadvantages: Very slow, External Python dependency

Upvotes: 43

alecxe
alecxe

Reputation: 473763

There is a special paragraph in BeautifulSoup documentation called Differences between parsers, it states that:

Beautiful Soup presents the same interface to a number of different parsers, but each parser is different. Different parsers will create different parse trees from the same document. The biggest differences are between the HTML parsers and the XML parsers.

The differences become clear on non well-formed HTML documents.

The moral is just that you should use the parser that works in your particular case.

Also note that you should always explicitly specify which parser are you using. This would help you to avoid surprises when running the code on different machines or virtual environments.

Upvotes: 34

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