#!/usr/bin/env python
# ogm-sampples.py
# Author: Matt Mayes
# March 11, 2008
"""
-- This requires the Beautiful Soup mod: http://www.crummy.com/software/BeautifulSoup/ --
Steps:
1. Identify all
's that are preceded with '' (which denotes a header here)
2. Pull that font text, and store as dictionary key
3. Extract all links and link text from the list, generate a link title and type (pdf/html/404) store as tuples in
appropriate dict key (note that some list items contain more than 1 link, this handles it) If it's a 404, it will
not be added to the list.
4. Identify if it's linking to an HTML page or PDF
5. If it's a local pdf referenced by a root value ("/file.pdf"), it strips the slash. Modify to suit your needs.
6. Generate a CSV file of results
"""
import urllib2, re
from BeautifulSoup import BeautifulSoup
page = urllib2.urlopen("http://www.givegoodweb.com/examples/ogm-samples.html")
soup = BeautifulSoup(page)
fontStart = re.compile(r'?')
fontEnd = re.compile(r'')
titleSearch = re.compile(r'title=')
getTitle = re.compile(r'(.*)',re.DOTALL|re.MULTILINE)
emailSearch = re.compile(r'mailto')
def removeNL(x):
"""cleans a string of new lines and spaces"""
s = x.split('\n')
s = [x.strip() for x in s]
x = " ".join(s)
return x.lstrip()
ul_tags = {}
for ul in soup.html.body.findAll('ul'):
links = []
x = ul.findPrevious('font', color="#3C378C").renderContents()
if '\n' in x:
x = removeNL(x)
for li in ul.findAll('li'):
line = []
for a in li.findAll('a'):
c = removeNL(str(a.contents[0]))
c = fontStart.sub('', c)
c = fontEnd.sub('', c)
href = str(a.get('href'))
if href[-3:].lower() == 'pdf':
type = 'pdf'
title = "PDF sample"
elif emailSearch.search(href):
title = 'email'
else:
type = 'html'
try:
f = urllib2.urlopen(href)
# reading in 2000 characters should to it
t = getTitle.search(f.read(2000))
if t :
title = t.group(1)
title = removeNL(title)
else : title = "open link"
except urllib2.HTTPError, e:
title = 404
f.close()
if title != 404:
line.append((c, href.lstrip('/'), type, title))
links.append(line)
ul_tags[x] = links
page.close()
f = open('samples.csv', 'w')
for i in ul_tags.iterkeys():
for x in ul_tags[i]:
for t in x:
f.write('%s, %s, %s, %s, %s \n' % (i, t[0], t[1], t[2], t[3]))
f.close()