Thanks Gabor,
  Nifty regexp. I never used strapplyc before and I am sure this will become a nice addition to my toolkit.

KW

Message: 5
Date: Tue, 15 May 2012 07:55:33 -0400
From: Gabor Grothendieck <ggrothendieck@gmail.com>
To: Keith Weintraub <kw1958@gmail.com>
Cc: r-help@r-project.org
Subject: Re: [R] Scraping a web page.
Message-ID:
	<CAP01uR=zdxHocxpsZdpT+4Kx2=L2vr9jnr=i=_Qhs39O=QoThg@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1
On Tue, May 15, 2012 at 7:06 AM, Keith Weintraub <kw1958@gmail.com> wrote:
> 
> Thanks,
> ?That was very helpful.
> 
> I am using readLines and grep. If grep isn't powerful enough I might end up using the XML package but I hope that won't be necessary.
> 

This only uses readLines and strapplyc (from gsubfn).  It scrape the
relevant strings from your post on nabble and by modifying URL and pat
you can likely get it to work with whatever the format of your
original files is:
library(gsubfn)
URL <- "http://r.789695.n4.nabble.com/Scraping-a-web-page-tp4630005.html"
L <- readLines(URL)
pat <- '<br/>&quot;/en/Ships.*-(\\d{7}).html&quot;'
strapplyc(L, pat, simplify = c)
The result from the last line is:
[1] "8605507" "8122830"
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