Staying in R, the XML package in conjunction with the XPATH query
language is likely to be your friend.
> library(XML)
> html=htmlTreeParse("http://www.wunderground.com/global/stations/16239.html";,
> useInternal=TRUE)
> xpathApply(html, "//[EMAIL PROTECTED]'tempf' and
+ @pwsid='LIRA']/@value", xmlValue)
[[1]]
[1] "63"
see http://www.w3.org/TR/xpath especially
http://www.w3.org/TR/xpath#path-abbrev for xpath hints.
Martin
Daniel Folkinshteyn <[EMAIL PROTECTED]> writes:
> i know this is an R mailing list :) but... i'll recommend you try
> python with the beautifulsoup module - makes html processing a cinch.
>
> another thing to note is that wunderground provides very handy RSS
> feeds for every location, so rather than parsing the html page (with
> it's associated bundles of gunk), you'd have a better time parsing the
> RSS feed. (there are some rss parsing libraries for python, too, but
> in your simple case it may be simpler to just extract stuff manually
> with some well-placed regexps)
>
> so use python to pull that out, and append to a nice tab-delimited
> file, and then in your R process just read from that file.
>
> on 06/05/2008 04:45 PM Nutter, Benjamin said the following:
>> I've tried to tackle a similar question at the request of a coworker.
>> Unfortunately, it is difficult to read in HTML code because it lacks
>> character that can consistently be used as a delimiter. The only
>> guideline I can offer is that any text you're interested in is going to
>> be between a ">" and a "<". So the goal is to eliminate anything
>> between < and >.
>> What's more, if you really want to read in HTML code, you'll need a
>> good
>> grasp on HTML itself, and some familiarity with how the code you're
>> reading in is structured. For instance, I'm attaching code that I wrote
>> to read in HTML tables that were generated by other functions commonly
>> used in my work place. But my code assumes that the tables are written
>> by row (using the <tr> tag.
>> Essentially, after studying the code I was going to read in, I hand
>> picked the markers that I could use to isolate the text I wanted. I
>> then proceeded to play a game of Simon Says to break down the code to
>> smaller and smaller pieces until I got what I wanted. Unless you're
>> going to be doing this a lot, I wouldn't recommend taking
>> the time to try and write a function like this. In most cases it's
>> probably faster just to copy the data by hand. But if you are
>> determined to make it work, I hope the ideas help.
>> Benjamin
>> -----Original Message-----
>> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
>> On Behalf Of vittorio
>> Sent: Wednesday, June 04, 2008 3:50 PM
>> To: [EMAIL PROTECTED]
>> Subject: [Possible SPAM] [R] Reading selected lines in an .html file
>> Dear friend, In an R program running permanently on a server I would
>> like to read
>> hour by hour the temperature in *C and the humidity from a site
>> like this
>> (actually, from many of such sites):
>> http://www.wunderground.com/global/stations/16239.html
>> How can I read the content of the site and select the info I need?
>> Ciao
>> Vittorio
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>
> ______________________________________________
> R-help@r-project.org mailing list
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--
Martin Morgan
Computational Biology / Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N.
PO Box 19024 Seattle, WA 98109
Location: Arnold Building M2 B169
Phone: (206) 667-2793
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