This quiz was an exercise in Web Scraping
[Web scraping - Wikipedia]. As more and more
information becomes available on the internet it is useful to have a
programatic way to access it. This can be done through web APIs, but
not all websites have such APIs available or not all information is
available via the APIs. Scraping may be against the terms of use for
some sites and smaller sites may suffer if large amounts of data are
being pulled, so be sure to ask permission and be prudent!
The one solution to this week’s quiz come from Peter S. using
scRUBYt [http://scrubyt.org/]. Despite being just over fifty lines
long there is a lot packed in here, so let’s dive in.
Here we begin by seting up a scRUBYt Extractor and set it to get the
main Ruby Q. 2 page.
#scrape the stuff with sRUBYt!
data = Scrubyt::Extractor.define do
fetch ‘http://splatbang.com/rubyquiz/’
The ‘quiz’ sets up a node in the XML document, retrieving elements
that match the XPath. This yields all the links in the side area, that
is, links to all the quizzes.
quiz "//div[@id='side']/ol/li/a[1]" do
link_url do
quiz_id /id=(\d+)/
quiz_link /id=(.+)/ do
These next two sections download the description and summary for each
quiz. They are saved into temporary files to be loaded into the XML
document at the end. Notice the use of lambda, it takes in the match
from /id=(.+)/ in the quiz_link. So for example when the link is
‘quiz.rhtml?id=157_The_Smallest_Circle’ it matches
‘157_The_Smallest_Circle’ and passes it into the lambda which returns
it as “http://splatbang.com/rubyquiz/157_The_Smallest_Circle/quiz.txt”
which is the text for the quiz. The summary is gathered in a likewise
fashion.
quiz_desc_url(lambda {|quiz_dir|
“http://splatbang.com/rubyquiz/#{quiz_dir}/quiz.txt”}, :type =>
:script) do
quiz_dl ‘descriptions’, :type => :download
end
quiz_summary_url(lambda {|quiz_dir|
“http://splatbang.com/rubyquiz/#{quiz_dir}/summ.txt”}, :type =>
:script) do
quiz_dl ‘summaries’, :type => :download
end
end
end
This next part gets all the solutions for each quiz. It follows the
link_url from the side area. Once on the new page it creates a node
for each solution, again by using XPath to get all the links in the
list on the side. It populates each solution with an author: the text
from the html anchor tag. It populates the ruby_talk_reference with
the href attribute of the tag. In order to get the solution text it
follows (resolves) the link and returns the text within the “//pre[1]”
element, again using XPath to specify. The text node is added as a
child node to the solution.
quiz_detail :resolve => "http://splatbang.com/rubyquiz" do
solution "/html/body/div/div[2]/ol/li/a" do
author lambda {|solution_link_text| solution_link_text},
:type => :script
ruby_talk_reference “href”, :type => :attribute
solution_detail :resolve => :full do
text “//pre[1]”
end
end
end
This select_indices limits the scope of the quiz gathering to just the
first three, usefull for testing since we don’t want to have to
traverse the entire site to see if code works. I removed it when
gathering the full dataset.
end.select_indices(0..2)
end
This next part, using Nokogiri, loads the files that were saved
temporarily and inserts them into the XML document. It also removes
the link_url nodes to clean up the final output to match the output
specified in the quiz.
result = Nokogiri::XML(data.to_xml)
(result/“//quiz”).each do |quiz|
quiz_id = quiz.text[/\s(\d+)\s/,1].to_i
file_index = quiz_id > 157 ? “_#{(quiz_id - 157)}” : “”
(quiz/“//link_url”).first.unlink
desc = Nokogiri::XML::Element.new("description", quiz.document)
desc.content =open("descriptions/quiz#{file_index}.txt").read
quiz.add_child(desc)
summary = Nokogiri::XML::Element.new("summary", quiz.document)
summary.content =open("summaries/summ#{file_index}.txt").read
quiz.add_child(summary)
end
And finally save the result to an xml file on the filesystem:
open(“ruby_quiz_archive.xml”, “w”) {|f| f.write result}
This was my first experience with scRUBYt and it took me a little
while to “get it”. It packs a lot of power into a concise syntax and
is definitely worth considering for your next web scraping needs.
I just sleep that long on
I just sleep that long
