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import json
import shelve
import requests
Loads the most recent 1500 tweets matching the search result
#takemymoneyHBO and stores them in a python shelf.
shelf ='hbotweets.dat')
shelf['tweets'] = []
for page in xrange(1,16):
query_params = {'q':'#takemymoneyHBO','result_type':'recent','rpp':'100','page':page}
r = requests.get('',params=query_params)
tweets = json.loads(r.text)['results']
shelf['tweets'] += tweets
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