13.11. Parsing HTML using regular expressions

One simple way to parse HTML is to use regular expressions to repeatedly search for and extract substrings that match a particular pattern.

Here is a simple web page:

<h1>The First Page</h1>
<p>
If you like, you can switch to the
<a href="http://www.dr-chuck.com/page2.htm">
Second Page</a>.
</p>

We can construct a well-formed regular expression to match and extract the link values from the above text as follows:

href="http[s]?://.+?"

Our regular expression looks for strings that start with “href="http://” or “href="https://”, followed by one or more characters (.+?), followed by another double quote. The question mark behind the [s]? indicates to search for the string “http” followed by zero or one “s”.

The question mark added to the .+? indicates that the match is to be done in a “non-greedy” fashion instead of a “greedy” fashion. A non-greedy match tries to find the smallest possible matching string and a greedy match tries to find the largest possible matching string.

We add parentheses to our regular expression to indicate which part of our matched string we would like to extract, and produce the following program:

Before you keep reading...

Making great stuff takes time and $$. If you appreciate the book you are reading now and want to keep quality materials free for other students please consider a donation to Runestone Academy. We ask that you consider a $10 donation, but if you can give more thats great, if $10 is too much for your budget we would be happy with whatever you can afford as a show of support.

The ssl library allows this program to access web sites that strictly enforce HTTPS. The read method returns HTML source code as a bytes object instead of returning an HTTPResponse object. The findall regular expression method will give us a list of all of the strings that match our regular expression, returning only the link text between the double quotes.

Regular expressions work very nicely when your HTML is well formatted and predictable. But since there are a lot of “broken” HTML pages out there, a solution only using regular expressions might either miss some valid links or end up with bad data.

This can be solved by using a robust HTML parsing library.

You have attempted 1 of 4 activities on this page