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Wayback Machine: finds historical New York Times front pages that include a certain string, and prints a link to those archived pages.
import requests
import json
from bs4 import BeautifulSoup
site = ''
for year in xrange(2010,2014+1):
for month in xrange(1,12+1):
url = ''+site+'&timestamp='+str(year)+str(month).zfill(2)+str('01')
r = requests.get(url)
data = json.loads(r.text)
newurl = data['archived_snapshots']['closest']['url']
p = requests.get(newurl)
soup = BeautifulSoup(p.text)
summary = [h.text for h in soup.findAll('p', attrs={'class': 'summary'})] + [h.text for h in soup.findAll('dd', attrs={'class': 'summary'})]
matching = [s for s in summary if 'Obama' in s]
for item in matching:
print month,year,newurl,item.replace('\r\n','').encode('utf-8')
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