Html_Parser Python

H

html.parser — Simple HTML and XHTML parser — Python ...

html.parser — Simple HTML and XHTML parser — Python …

Source code: Lib/html/
This module defines a class HTMLParser which serves as the basis for
parsing text files formatted in HTML (HyperText Mark-up Language) and XHTML.
class (*, convert_charrefs=True)¶
Create a parser instance able to parse invalid markup.
If convert_charrefs is True (the default), all character
references (except the ones in script/style elements) are
automatically converted to the corresponding Unicode characters.
An HTMLParser instance is fed HTML data and calls handler methods
when start tags, end tags, text, comments, and other markup elements are
encountered. The user should subclass HTMLParser and override its
methods to implement the desired behavior.
This parser does not check that end tags match start tags or call the end-tag
handler for elements which are closed implicitly by closing an outer element.
Changed in version 3. 4: convert_charrefs keyword argument added.
Changed in version 3. 5: The default value for argument convert_charrefs is now True.
Example HTML Parser Application¶
As a basic example, below is a simple HTML parser that uses the
HTMLParser class to print out start tags, end tags, and data
as they are encountered:
from import HTMLParser
class MyHTMLParser(HTMLParser):
def handle_starttag(self, tag, attrs):
print(“Encountered a start tag:”, tag)
def handle_endtag(self, tag):
print(“Encountered an end tag:”, tag)
def handle_data(self, data):
print(“Encountered some data:”, data)
parser = MyHTMLParser()
(‘Test

Parse me!

‘)
The output will then be:
Encountered a start tag: html
Encountered a start tag: head
Encountered a start tag: title
Encountered some data: Test
Encountered an end tag: title
Encountered an end tag: head
Encountered a start tag: body
Encountered a start tag: h1
Encountered some data: Parse me!
Encountered an end tag: h1
Encountered an end tag: body
Encountered an end tag: html
HTMLParser Methods¶
HTMLParser instances have the following methods:
(data)¶
Feed some text to the parser. It is processed insofar as it consists of
complete elements; incomplete data is buffered until more data is fed or
close() is called. data must be str.
()¶
Force processing of all buffered data as if it were followed by an end-of-file
mark. This method may be redefined by a derived class to define additional
processing at the end of the input, but the redefined version should always call
the HTMLParser base class method close().
Reset the instance. Loses all unprocessed data. This is called implicitly at
instantiation time.
Return current line number and offset.
t_starttag_text()¶
Return the text of the most recently opened start tag. This should not normally
be needed for structured processing, but may be useful in dealing with HTML “as
deployed” or for re-generating input with minimal changes (whitespace between
attributes can be preserved, etc. ).
The following methods are called when data or markup elements are encountered
and they are meant to be overridden in a subclass. The base class
implementations do nothing (except for handle_startendtag()):
HTMLParser. handle_starttag(tag, attrs)¶
This method is called to handle the start of a tag (e. g.

).
The tag argument is the name of the tag converted to lower case. The attrs
argument is a list of (name, value) pairs containing the attributes found
inside the tag’s <> brackets. The name will be translated to lower case,
and quotes in the value have been removed, and character and entity references
have been replaced.
For instance, for the tag ‘)
Decl: DOCTYPE HTML PUBLIC “-//W3C//DTD HTML 4. 01//EN” ”
Parsing an element with a few attributes and a title:
>>> (‘The Python logo‘)
Start tag: img
attr: (‘src’, ”)
attr: (‘alt’, ‘The Python logo’)
>>>
>>> (‘

Python

‘)
Start tag: h1
Data: Python
End tag: h1
The content of script and style elements is returned as is, without
further parsing:
>>> (‘

‘)
Start tag: style
attr: (‘type’, ‘text/css’)
Data: #python { color: green}
End tag: style
>>> (‘‘)
Start tag: script
attr: (‘type’, ‘text/javascript’)
Data: alert(“hello! “);
End tag: script
Parsing comments:
>>> (‘‘… ‘IE-specific content‘)
Comment: a comment
Comment: [if IE 9]>IE-specific content‘):
>>> (‘>>>’)
Named ent: >
Num ent: >
Feeding incomplete chunks to feed() works, but
handle_data() might be called more than once
(unless convert_charrefs is set to True):
>>> for chunk in [‘buff’, ‘ered ‘, ‘text‘]:… (chunk)…
Start tag: span
Data: buff
Data: ered
Data: text
End tag: span
Parsing invalid HTML (e. unquoted attributes) also works:
>>> (‘

tag soup

‘)
Start tag: p
Start tag: a
attr: (‘class’, ‘link’)
attr: (‘href’, ‘#main’)
Data: tag soup
End tag: p
End tag: a
Parsing HTML using Python - Stack Overflow

Parsing HTML using Python – Stack Overflow

I’m looking for an HTML Parser module for Python that can help me get the tags in the form of Python lists/dictionaries/objects.
If I have a document of the form:

Heading

Something here
Something else



then it should give me a way to access the nested tags via the name or id of the HTML tag so that I can basically ask it to get me the content/text in the div tag with class=’container’ contained within the body tag, or something similar.
If you’ve used Firefox’s “Inspect element” feature (view HTML) you would know that it gives you all the tags in a nice nested manner like a tree.
I’d prefer a built-in module but that might be asking a little too much.
I went through a lot of questions on Stack Overflow and a few blogs on the internet and most of them suggest BeautifulSoup or lxml or HTMLParser but few of these detail the functionality and simply end as a debate over which one is faster/more efficent.
the Tin Man152k39 gold badges201 silver badges282 bronze badges
asked Jul 29 ’12 at 12:00
1
So that I can ask it to get me the content/text in the div tag with class=’container’ contained within the body tag, Or something similar.
try:
from BeautifulSoup import BeautifulSoup
except ImportError:
from bs4 import BeautifulSoup
html = #the HTML code you’ve written above
parsed_html = BeautifulSoup(html)
print((‘div’, attrs={‘class’:’container’}))
You don’t need performance descriptions I guess – just read how BeautifulSoup works. Look at its official documentation.
Edward6252 gold badges10 silver badges29 bronze badges
answered Jul 29 ’12 at 12:12
AadaamAadaam3, 1591 gold badge12 silver badges9 bronze badges
9
I guess what you’re looking for is pyquery:
pyquery: a jquery-like library for python.
An example of what you want may be like:
from pyquery import PyQuery
html = # Your HTML CODE
pq = PyQuery(html)
tag = pq(‘div#id’) # or tag = pq(”)
print ()
And it uses the same selectors as Firefox’s or Chrome’s inspect element. For example:
The inspected element selector is ‘print’. So in pyquery, you just need to pass this selector:
pq(‘print’)
chris Frisina17. 9k20 gold badges75 silver badges157 bronze badges
answered Jul 29 ’12 at 12:47
YusuMishiYusuMishi2, 15716 silver badges7 bronze badges
Here you can read more about different HTML parsers in Python and their performance. Even though the article is a bit dated it still gives you a good overview.
Python HTML parser performance
I’d recommend BeautifulSoup even though it isn’t built in. Just because it’s so easy to work with for those kinds of tasks. Eg:
import urllib2
page = urllib2. urlopen(”)
soup = BeautifulSoup(page)
x = (‘div’, attrs={‘class’: ‘container’})
Matt Ellen9, 9834 gold badges62 silver badges81 bronze badges
answered Jul 29 ’12 at 12:07
QiauQiau5, 1283 gold badges27 silver badges40 bronze badges
3
I recommend lxml for parsing HTML. See “Parsing HTML” (on the lxml site).
In my experience Beautiful Soup messes up on some complex HTML. I believe that is because Beautiful Soup is not a parser, rather a very good string analyzer.
answered Oct 25 ’14 at 18:50
2
I recommend using justext library:
Usage:
Python2:
import requests
import justext
response = (“)
paragraphs = justext. justext(ntent, t_stoplist(“English”))
for paragraph in paragraphs:
print
Python3:
answered Jul 15 ’16 at 15:51
Wesam NaWesam Na1, 75922 silver badges20 bronze badges
I would use EHP
Here it is:
from ehp import *
doc = ”’
”’
html = Html()
dom = (doc)
for ind in (‘div’, (‘class’, ‘container’)):
Output:
Something here
Something else
answered Mar 20 ’16 at 9:44
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What is the HTML parser in Python? - Educative.io

What is the HTML parser in Python? – Educative.io

from import HTMLParser
class Parser(HTMLParser):
# method to append the start tag to the list start_tags.
def handle_starttag(self, tag, attrs):
global start_tags
(tag)
# method to append the end tag to the list end_tags.
def handle_endtag(self, tag):
global end_tags
# method to append the data between the tags to the list all_data.
def handle_data(self, data):
global all_data
(data)
# method to append the comment to the list comments.
def handle_comment(self, data):
global comments
start_tags = []
end_tags = []
all_data = []
comments = []
# Creating an instance of our class.
parser = Parser()
# Poviding the input.
(‘Desserts


‘I am a fan of frozen yoghurt.

<' '/body>‘)
print(“start tags:”, start_tags)
print(“end tags:”, end_tags)
print(“data:”, all_data)
print(“comments”, comments)

Frequently Asked Questions about html_parser python

What is HTML parser in Python?

Edpresso Team. The HTML parser is a structured markup processing tool. It defines a class called HTMLParser, ​which is used to parse HTML files. It comes in handy for web crawling​.

How does Python process HTML data?

To scrape a website using Python, you need to perform these four basic steps:Sending an HTTP GET request to the URL of the webpage that you want to scrape, which will respond with HTML content. … Fetching and parsing the data using Beautifulsoup and maintain the data in some data structure such as Dict or List.More items…•Dec 19, 2019

What is the HTML parser?

The term parsing comes from Latin pars (orationis), meaning part (of speech). In your case, HTML parsing is basically: taking in HTML code and extracting relevant information like the title of the page, paragraphs in the page, headings in the page, links, bold text etc.Dec 6, 2013

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