import twitter
CONSUMER_KEY = 'xxxxxxxxxxxxxxxxxxxxxxxxxx'
CONSUMER_SECRET = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
OAUTH_TOKEN = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
OAUTH_TOKEN_SECRET = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
auth = twitter.oauth.OAuth(OAUTH_TOKEN, OAUTH_TOKEN_SECRET,
CONSUMER_KEY, CONSUMER_SECRET)
twitter_api = twitter.Twitter(auth=auth)
# Nothing to see by displaying twitter_api except that it's now a
# defined variable
print (twitter_api)
# The Yahoo! Where On Earth ID for the entire world is 1.
# See https://dev.twitter.com/docs/api/1.1/get/trends/place and
# http://developer.yahoo.com/geo/geoplanet/
WORLD_WOE_ID = 1
US_WOE_ID = 23424977
# Prefix ID with the underscore for query string parameterization.
# Without the underscore, the twitter package appends the ID value
# to the URL itself as a special case keyword argument.
world_trends = twitter_api.trends.place(_id=WORLD_WOE_ID)
us_trends = twitter_api.trends.place(_id=US_WOE_ID)
print (world_trends)
print
print (us_trends)
import json
print (json.dumps)(world_trends, indent=1)
print
print (json.dumps)(us_trends, indent=1)
world_trends_set = set([trend['name']
for trend in world_trends[0]['trends']])
us_trends_set = set([trend['name']
for trend in us_trends[0]['trends']])
common_trends = world_trends_set.intersection(us_trends_set)
print (common_trends)
# XXX: Set this variable to a trending topic,
# or anything else for that matter. The example query below
# was a trending topic when this content was being developed
# and is used throughout the remainder of this chapter.
q = '#MentionSomeoneImportantForYou'
count = 100
# See https://dev.twitter.com/docs/api/1.1/get/search/tweets
search_results = twitter_api.search.tweets(q=q, count=count)
statuses = search_results['statuses']
# Iterate through 5 more batches of results by following the cursor
for _ in range(5):
print "Length of statuses", len(statuses)
try:
next_results = search_results['search_metadata']['next_results']
except KeyError, e: # No more results when next_results doesn't exist
break
# Create a dictionary from next_results, which has the following form:
# ?max_id=313519052523986943&q=NCAA&include_entities=1
kwargs = dict([ kv.split('=') for kv in next_results[1:].split("&") ])
search_results = twitter_api.search.tweets(**kwargs)
statuses += search_results['statuses']
# Show one sample search result by slicing the list...
