I would like to periodically check what sub-domains are being listed by Google.
To obtain list of sub-domains, I type \'site:example.com\' in Google search box - thi
Regex is a bad idea for parsing HTML. It's cryptic to read and relies of well-formed HTML.
Try BeautifulSoup for Python. Here's an example script that returns URLs from the first 10 pages of a site:domain.com Google query.
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 & 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&start=" + str(start*10)
page = opener.open(url)
soup = BeautifulSoup(page)
### Parse and find
### Looks like google contains URLs in <cite> tags.
### So for each cite tag on each page (10), print its contents (url)
for cite in soup.findAll('cite'):
print cite.text
Output:
stackoverflow.com/
stackoverflow.com/questions
stackoverflow.com/unanswered
stackoverflow.com/users
meta.stackoverflow.com/
blog.stackoverflow.com/
chat.meta.stackoverflow.com/
...
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.
The Google Custom Search API can deliver results in ATOM XML format
Getting Started with Google Custom Search