How can I parse an HTML file and collect only that the A tags. I have a
start for the code but an unable to figure out how to finish the code.
HTML_parse gets the data from the URL document. Thanks for the help
def HTML_parse(data ):
from HTMLParser import HTMLParser
parser = MyHTMLParser()
parser.feed(dat a)
class MyHTMLParser(HT MLParser):
def handle_starttag (self, tag, attrs):
def handle_endtag(s elf, tag):
def read_page(URL):
"this function returns the entire content of the specified URL
document"
import urllib
connect = urllib.urlopen( url)
data = connect.read()
connect.close()
return data 10 2698
I do not really know, what you want to do. Getting he urls from the a
tags of a html file? I think the easiest method would be a regular
expression. import urllib, sre html = urllib.urlopen( "http://www.google.com" ).read() sre.findall( 'href="([^>]+)"', html)
['/imghp?hl=de&tab =wi&ie=UTF-8',
'http://groups.google.d e/grphp?hl=de&tab =wg&ie=UTF-8',
'/dirhp?hl=de&tab =wd&ie=UTF-8',
'http://news.google.de/nwshp?hl=de&tab =wn&ie=UTF-8',
'http://froogle.google. de/frghp?hl=de&tab =wf&ie=UTF-8',
'/intl/de/options/'] sre.findall('hr ef=[^>]+>([^<]+)</a>', html)
['Bilder', 'Groups', 'Verzeichnis', 'News', 'Froogle',
'Mehr &raq uo;', 'Erweiterte Suche', 'Einstellungen' ,
'Sprachtools', 'Werbung', 'Unternehmensan gebote', 'Alles \xfcber
Google', 'Google.com in English']
Google has some strange html, href without quotation marks: <a
href=http://www.google.com/ncr>Google.com in English</a>
George wrote: How can I parse an HTML file and collect only that the A tags. I have a start for the code but an unable to figure out how to finish the code. HTML_parse gets the data from the URL document. Thanks for the help
Have you tried using Beautiful Soup? http://www.crummy.com/software/BeautifulSoup/
"beza1e1" <an************ *@googlemail.co m> writes: I do not really know, what you want to do. Getting he urls from the a tags of a html file? I think the easiest method would be a regular expression.
I think this ranks as #2 on the list of "difficult one-day
hacks". Yeah, it's simple to write an RE that works most of the
time. It's a major PITA to write one that works in all the legal
cases. Getting one that also handles all the cases seen in the wild is
damn near impossible. import urllib, sre html = urllib.urlopen( "http://www.google.com" ).read() sre.findall ('href="([^>]+)"', html)
This fails in a number of cases. Whitespace around the "=" sign for
attibutes. Quotes around other attributes in the tag (required by
XHTML). '>' in the URL (legal, but disrecommended) . Attributes quoted
with single quotes instead of double quotes, or just unqouted. It
misses IMG SRC attributes. It hands back relative URLs as such,
instead of resolving them to the absolute URL (which requires checking
for the base URL in the HEAD), which may or may not be acceptable.
Google has some strange html, href without quotation marks: <a href=http://www.google.com/ncr>Google.com in English</a>
That's not strange. That's just a bit unusual. Perfectly legal, though
- any browser (or other html processor) that fails to handle it is
broken.
<mike
--
Mike Meyer <mw*@mired.or g> http://www.mired.org/home/mwm/
Independent WWW/Perforce/FreeBSD/Unix consultant, email for more information.
I think for a quick hack, this is as good as a parser. A simple parser
would miss some cases as well. RE are nearly not extendable though, so
your critic is valid.
The point is, what George wants to do. A mixture would be possible as
well:
Getting all <a ...> by a RE and then extracting the url with something
like a parser.
"beza1e1" <an************ *@googlemail.co m> writes: I think for a quick hack, this is as good as a parser. A simple parser would miss some cases as well. RE are nearly not extendable though, so your critic is valid.
Pretty much any first attempt is going to miss some cases. There
libraries available that are have stood the test of time. Simply
usinng one of those is the right solution.
The point is, what George wants to do. A mixture would be possible as well: Getting all <a ...> by a RE and then extracting the url with something like a parser.
I thought the point was to extract all URLs? Those appear in
attributes of tags other than A tags. While that's a meta-problem that
requires properly configuring the parser to deal with, it's something
that's *much* simpler to do if you've got a parser that understands
the structure of HTML - you should be able to specify tag/attribute
pairs to look for - than with something that is treating it as
unstructured text.
<mike
--
Mike Meyer <mw*@mired.or g> http://www.mired.org/home/mwm/
Independent WWW/Perforce/FreeBSD/Unix consultant, email for more information.
you may define a start_a in MyHTMLParser.
e.g.
import htmllib
import formatter
class HTML_Parser(htm llib.HTMLParser ):
def __init__(self):
htmllib.HTMLPar ser.__init__(se lf,
formatter.Abstr actFormatter(fo rmatter.NullWri ter()))
def start_a(self, args):
for key, value in args:
if key.lower() == 'href':
print value
html = HTML_Parser()
html.feed(open( r'a.htm','r').r ead())
html.close()
On 24 Sep 2005 10:13:30 -0700, George <bu*******@hotm ail.com> wrote: How can I parse an HTML file and collect only that the A tags. I have a start for the code but an unable to figure out how to finish the code. HTML_parse gets the data from the URL document. Thanks for the help
def HTML_parse(data ): from HTMLParser import HTMLParser parser = MyHTMLParser()
parser.feed(dat a)
class MyHTMLParser(HT MLParser):
def handle_starttag (self, tag, attrs):
def handle_endtag(s elf, tag):
def read_page(URL): "this function returns the entire content of the specified URL document" import urllib connect = urllib.urlopen( url) data = connect.read() connect.close() return data
-- http://mail.python.org/mailman/listinfo/python-list
--
Best Regards,
Leo Jay
"Stephen Prinster" <pr******@mail. com> wrote: George wrote: How can I parse an HTML file and collect only that the A tags. I have a start for the code but an unable to figure out how to finish the code. HTML_parse gets the data from the URL document. Thanks for the help
Have you tried using Beautiful Soup?
http://www.crummy.com/software/BeautifulSoup/
I agree; you can do what you want in two lines:
from BeautifulSoup import BeautifulSoup
hrefs = [link['href'] for link in BeautifulSoup(u rllib.urlopen(u rl)).fetch('a')]
George
* George (2005-09-24 18:13 +0100) How can I parse an HTML file and collect only that the A tags.
import formatter, \
htmllib, \
urllib
url = 'http://python.org'
htmlp = htmllib.HTMLPar ser(formatter.N ullFormatter())
htmlp.feed(urll ib.urlopen(url) .read())
htmlp.close()
print htmlp.anchorlis t
I'm very new to python and I have tried to read the tutorials but I am
unable to understand exactly how I must do this problem.
Specifically, the showIPnums function takes a URL as input, calls the
read_page(url) function to obtain the entire page for that URL, and
then lists, in sorted order, the IP addresses implied in the "<A
HREF=· · ·>" tags within that page.
"""
Module to print IP addresses of tags in web file containing HTML showIPnums('htt p://22c118.cs.uiowa .edu/uploads/easy.html')
['0.0.0.0', '128.255.44.134 ', '128.255.45.54']
showIPnums('htt p://22c118.cs.uiowa .edu/uploads/pytorg.html')
['0.0.0.0', '128.255.135.49 ', '128.255.244.57 ', '128.255.30.11' ,
'128.255.34.132 ', '128.255.44.51' , '128.255.45.53' ,
'128.255.45.54' , '129.255.241.42 ', '64.202.167.129 ']
"""
def read_page(url):
import formatter
import htmllib
import urllib
htmlp = htmllib.HTMLPar ser(formatter.N ullFormatter())
htmlp.feed(urll ib.urlopen(url) .read())
htmlp.close()
def showIPnums(URL) :
page=read_page( URL)
if __name__ == '__main__':
import doctest, sys
doctest.testmod (sys.modules[__name__]) This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics |
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Posted with permission from the author.
I have some comments on this PEP, see the (coming) followup to this message.
PEP: 321
Title: Date/Time Parsing and Formatting
Version: $Revision: 1.3 $
Last-Modified: $Date: 2003/10/28 19:48:44 $
Author: A.M. Kuchling <amk@amk.ca>
Status: Draft
Type: Standards Track
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