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    <p>Regex is a bad idea for parsing HTML. It's cryptic to read and relies of well-formed HTML.</p> <p>Try <a href="http://www.crummy.com/software/BeautifulSoup/" rel="noreferrer">BeautifulSoup</a> for Python. Here's an example script that returns URLs from the first 10 pages of a site:domain.com Google query.</p> <pre><code>import sys # Used to add the BeautifulSoup folder the import path import urllib2 # Used to read the html document if __name__ == "__main__": ### Import Beautiful Soup ### Here, I have the BeautifulSoup folder in the level of this Python script ### So I need to tell Python where to look. sys.path.append("./BeautifulSoup") from BeautifulSoup import BeautifulSoup ### Create opener with Google-friendly user agent opener = urllib2.build_opener() opener.addheaders = [('User-agent', 'Mozilla/5.0')] ### Open page &amp; generate soup ### the "start" variable will be used to iterate through 10 pages. for start in range(0,10): url = "http://www.google.com/search?q=site:stackoverflow.com&amp;start=" + str(start*10) page = opener.open(url) soup = BeautifulSoup(page) ### Parse and find ### Looks like google contains URLs in &lt;cite&gt; tags. ### So for each cite tag on each page (10), print its contents (url) for cite in soup.findAll('cite'): print cite.text </code></pre> <p>Output:</p> <pre><code>stackoverflow.com/ stackoverflow.com/questions stackoverflow.com/unanswered stackoverflow.com/users meta.stackoverflow.com/ blog.stackoverflow.com/ chat.meta.stackoverflow.com/ ... </code></pre> <p>Of course, you could append each result to a list so you can parse it for subdomains. I just got into Python and scraping a few days ago, but this should get you started.</p>
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    1. COthanks for this
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    2. COis there something like this for JavaScript?
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    3. COi just googled "javascript screen scraping", but [pjscrape](http://nrabinowitz.github.com/pjscrape/#quickstart) looks promising.
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