ginatrapani/entries.md

## entries.md

      
    Raw
  

              entries.md
            
          
    Results on Tues. March 27th, 2012:

Found 378 active entries among 958 total applications.


#18: 57 likes - NewsBlur
#17: 64 likes - Sensor networks for news
#16: 71 likes - None
#15: 81 likes - A toolkit for real-time investigative reporting from site analytics
#14: 83 likes - DifferentFeather
#13: 89 likes - Knight News Challenge on Networks opens: Your shot at a share of $5 million
#12: 91 likes - Feowl: Networked data-collection & power cuts monitoring
#11: 95 likes - Participatory Design for a Sharing Movement News and Mobilization Website
#10: 98 likes - UNICEF GIS - Youth Led Digital Mapping
#9: 99 likes - Amauta: a collaborative media network
#8: 110 likes - Crowdsource Startup Community
#7: 120 likes - 1000 City Community Service Media Network
#6: 144 likes - Cont3nt.com lets you sell media in real-time via Twitter
#5: 157 likes - MediaReputations.com verifies your credentials and gives you a Media ID to show to the world
#4: 189 likes - Expand the Unconsumption Project
#3: 198 likes - Cosmic Cart - Monetize your Media
#2: 265 likes - ThinkUp
#1: 608 likes - Inventor & Entrepreneur Nation (IENation.com)


Results on Wed. March 21st, 2012:

Found 323 active entries among 958 total applications.


#15: 41 likes - NewsBlur
#14: 49 likes - Amauta: a collaborative media network
#13: 50 likes - The PressForward Dashboard
#12: 51 likes - Hypothes.is - An annotation layer for the web
#11: 57 likes - Sensor networks for news
#10: 68 likes - None
#9: 70 likes - Feowl: Networked data-collection & power cuts monitoring
#8: 76 likes - DifferentFeather
#7: 81 likes - Participatory Design for a Sharing Movement News and Mobilization Website
#6: 82 likes - Knight News Challenge on Networks opens: Your shot at a share of $5 million
#5: 101 likes - Crowdsource Startup Community
#4: 117 likes - Cosmic Cart - Monetize your Media
#3: 120 likes - 1000 City Community Service Media Network
#2: 129 likes - Inventor & Entrepreneur Nation (IENation.com)
#1: 149 likes - Expand the Unconsumption Project


## newschallenge.py
# Screen scrapes the Knight News Challenge entries (all 64 pages of them)
# and counts the number of votes/hearts for each entry. Then displays them
# in rank order.
#
# This script runs in about 20 seconds.

import requests
from BeautifulSoup import BeautifulSoup

page = 1
total_entry_count = 0
entries = []

while True:
    print " ---> Found %s entries so far. Now on page: %s" % (len(entries), page)

    knight_url = "http://newschallenge.tumblr.com/page/%s" % (page)
    html = requests.get(knight_url).content
    soup = BeautifulSoup(html)
    postboxes = soup.findAll("div", "postbox")

    # Done if only sticky entry is left.
    if len(postboxes) <= 1:
        break

    page += 1

    # 15 entries per page, plus a sticky throwaway entry
    for entry in postboxes:
        if 'stickyPost' in entry.get('class'): continue

        total_entry_count += 1
        likes = entry.find("", "home-likes")
        if likes and likes.text:
            likes = int(likes.text)
        else:
            likes = 0

        comments = entry.find("", "home-comments")
        if comments and comments.text:
            comments = int(comments.text)
        else:
            comments = 0

        title = entry.find("h2")
        if title:
            title = title.text

        url = entry.find('a', "home-view")
        if url:
            url = url.get('href')

        # Only record active entries
        if comments or likes:
            entries.append({
                'likes': likes,
                'comments': comments,
                'title': title,
                'url': url,
            })
    # time.sleep(random.randint(0, 2))

entries.sort(key=lambda e: e['comments'] + e['likes'])
active_entry_count = len(entries)

for i, entry in enumerate(entries):
    print " * #%s: %s likes - [%s](%s)" % (
        active_entry_count - i,
        entry['likes'], entry['title'],
        entry['url'])

print " ***> Found %s active entries among %s total applications." % (
    active_entry_count, total_entry_count)
	# Screen scrapes the Knight News Challenge entries (all 64 pages of them)
	# and counts the number of votes/hearts for each entry. Then displays them
	# in rank order.
	#
	# This script runs in about 20 seconds.

	import requests
	from BeautifulSoup import BeautifulSoup

	page = 1
	total_entry_count = 0
	entries = []

	while True:
	print " ---> Found %s entries so far. Now on page: %s" % (len(entries), page)

	knight_url = "http://newschallenge.tumblr.com/page/%s" % (page)
	html = requests.get(knight_url).content
	soup = BeautifulSoup(html)
	postboxes = soup.findAll("div", "postbox")

	# Done if only sticky entry is left.
	if len(postboxes) <= 1:
	break

	page += 1

	# 15 entries per page, plus a sticky throwaway entry
	for entry in postboxes:
	if 'stickyPost' in entry.get('class'): continue

	total_entry_count += 1
	likes = entry.find("", "home-likes")
	if likes and likes.text:
	likes = int(likes.text)
	else:
	likes = 0

	comments = entry.find("", "home-comments")
	if comments and comments.text:
	comments = int(comments.text)
	else:
	comments = 0

	title = entry.find("h2")
	if title:
	title = title.text

	url = entry.find('a', "home-view")
	if url:
	url = url.get('href')

	# Only record active entries
	if comments or likes:
	entries.append({
	'likes': likes,
	'comments': comments,
	'title': title,
	'url': url,
	})
	# time.sleep(random.randint(0, 2))

	entries.sort(key=lambda e: e['comments'] + e['likes'])
	active_entry_count = len(entries)

	for i, entry in enumerate(entries):
	print " * #%s: %s likes - [%s](%s)" % (
	active_entry_count - i,
	entry['likes'], entry['title'],
	entry['url'])

	print " ***> Found %s active entries among %s total applications." % (
	active_entry_count, total_entry_count)