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its the same people who brought us sandy hook, orlando, boston, 9/11, london, madrid, paris, cavs finals etc, when i say real, what I actually mean is fake

but real killings

yet to be confirmed, im only going by the small sample of news coverage ive seen, it didnt seem like the usual package, that obviously fake made for tv ****

They've been very busy, these people.

You getting good wifi in your bunker Eddie?
 
NWA this is all your fault.

GTA this is all your fault.

NRA it's time to stand up against the gun toting cop haters.

WTF Joe Walsh you fat spastic.
 
# Takes a list of horse names and searches Bing for link to sportinglife profile page
#
# Returns list of links in text file

from py_bing_search import PyBingWebSearch


def search_horse(search, h):
bing_web = PyBingWebSearch('WeS54BO7F9y4OMgqFLIjKCeeONFCsMvK98AjQKtYLOE', search)
link = bing_web.search(limit=10, format='json')
h.write((link[0].url)) if len(link) > 1 else h.write('null')
h.write('\n')


def main():
h = open("horse-links.txt", "w")

with open("..\Text Files\horsename.txt", "r") as f:
for line in f:
search = 'www.sportinglife.com/racing/profiles/ {0}'.format(line)
search_horse(search, h)

f.close()
h.close()

main()

# Takes list of links to horse profile pages on sportinglife.com
#
# Scrapes winning information and returns in text file

import requests
from bs4 import BeautifulSoup


def horseScrape(soup, f):
if "fltr-item fltr-win" in str(soup):
name = soup.find('div', {'class': "content-header"}).find("h2").get_text().strip()
f.write("-Horse-\n")

for tag in soup.find_all("tr", "fltr-win"):
f.write(name + "\n")
f.write(tag.find_all("td")[3].get_text().strip() + "\n")
f.write(tag.find_all("td")[4].get_text().strip() + "\n")
race = str(tag.find_next('a'))
if "Handicap" in race:
f.write("HCAP\n")
else:
f.write('NON-HCAP\n')


def main():
h = open('..\Text Files\horse-links.txt', 'r')
f = open('data.txt', 'w')

for line in h.readlines():
add = line.strip('\n')
url = requests.get(add, headers={'User-Agent': 'Mozilla/5.0'})
soup = BeautifulSoup(url.content, "html.parser")
horseScrape(soup, f)

f.close()
h.close()

main()

# Scrapes information for todays winners

import requests
from bs4 import BeautifulSoup


def main():
f = open("info.txt", "a")

date = "03 Jul 2016"

# id of first race
raceId = 653063

# range 0, number of races on card
for x in range(0, 7):
url = "http://www.racingpost.com/horses/result_home.sd?race_id=%s" % str(raceId)
r = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
soup = BeautifulSoup(r.content, "html.parser")

course = (soup.find('div', {'class': "leftColBig"}).find_next("h1")
.get_text(",").encode("utf-8").strip(" Result,%s" % date))

race = (str(soup.find('h3', {'class': "clearfix"})
.get_text().encode("utf-8")))

rclass = (str(soup.find('h3', {'class': "clearfix"}).find_next("li")
.get_text(",").encode("utf-8").strip()))

name = (soup.find('td', {'class': "nowrap"}).find_next("b")
.get_text().encode("utf-8"))

rating = (soup.find('td', {'class': "lightGray"})
.get_text().encode("utf-8"))

f.write(str(name) + ",")
f.write(str(rating) + ",")
f.write(str(course) + ",")
f.write(str(rclass) + ',')

if "Handicap" in race:
f.write('HCAP\n')
else:
f.write('NON-HCAP\n')

raceId += 1

f.close()

main()

So who wins the King George motherfucker?
 
56 yank cops killed in the line of duty so far this year. 125 last year. Hardly surprising they get a bit jumpy when arresting innocent members of the public in the act of innocently reaching for the gun in the glove compartment.
 
George Soros pays black people to riot he is the money behind [HASHTAG]#BLM[/HASHTAG]
 
56 yank cops killed in the line of duty so far this year. 125 last year. Hardly surprising they get a bit jumpy when arresting innocent members of the public in the act of innocently reaching for the gun in the glove compartment.
It's amazing how many are due to heart attacks