# HTML Parsing
# Using CSS selectors in BeautifulSoup
BeautifulSoup has a limited support for CSS selectors (opens new window), but covers most commonly used ones. Use select()
method to find multiple elements and select_one()
to find a single element.
Basic example:
from bs4 import BeautifulSoup
data = """
<ul>
<li class="item">item1</li>
<li class="item">item2</li>
<li class="item">item3</li>
</ul>
"""
soup = BeautifulSoup(data, "html.parser")
for item in soup.select("li.item"):
print(item.get_text())
Prints:
item1
item2
item3
# Locate a text after an element in BeautifulSoup
Imagine you have the following HTML:
<div>
<label>Name:</label>
John Smith
</div>
And you need to locate the text "John Smith" after the label
element.
In this case, you can locate the label
element by text and then use .next_sibling
property (opens new window):
from bs4 import BeautifulSoup
data = """
<div>
<label>Name:</label>
John Smith
</div>
"""
soup = BeautifulSoup(data, "html.parser")
label = soup.find("label", text="Name:")
print(label.next_sibling.strip())
Prints John Smith
.
# PyQuery
pyquery is a jquery-like library for python. It has very well support for css selectors.
from pyquery import PyQuery
html = """
<h1>Sales</h1>
<table id="table">
<tr>
<td>Lorem</td>
<td>46</td>
</tr>
<tr>
<td>Ipsum</td>
<td>12</td>
</tr>
<tr>
<td>Dolor</td>
<td>27</td>
</tr>
<tr>
<td>Sit</td>
<td>90</td>
</tr>
</table>
"""
doc = PyQuery(html)
title = doc('h1').text()
print title
table_data = []
rows = doc('#table > tr')
for row in rows:
name = PyQuery(row).find('td').eq(0).text()
value = PyQuery(row).find('td').eq(1).text()
print "%s\t %s" % (name, value)