Twitter is a popular social network where users share messages called tweets. Twitter allows us to mine the data of any user using Twitter API or Tweepy. The data will be tweets extracted from the user. The first thing to do is get the consumer key, consumer secret, access key and access secret from twitter developer available easily for each user. These keys will help the API for authentication.
API.trends_available()
The trends_available() method of the API class in Tweepy module is used to fetch the locations that Twitter has trending topic information for.
Syntax : API.trends_available()
Parameters : None
Returns : an object of class JSON
Example 1 :
# import the module import tweepy # assign the values accordingly consumer_key = "" consumer_secret = "" access_token = "" access_token_secret = "" # authorization of consumer key and consumer secret auth = tweepy.OAuthHandler(consumer_key, consumer_secret) # set access to user's access key and access secret auth.set_access_token(access_token, access_token_secret) # calling the api api = tweepy.API(auth) # fetching the trends trends = api.trends_available() print("The number of locations available are : " + str(len(trends))) |
Output :
The number of locations available are : 467
Example 2 :
# fetching the trends trends = api.trends_available() print("Some of the locations are : ") for i in range(0, 200, 20): print("Place : " + trends[i]['name'] + ", Country : " + trends[i]['country']) |
Output :
Some of the locations are : Place : Worldwide, Country : Place : Leeds, Country : United Kingdom Place : Mexico City, Country : Mexico Place : Mendoza, Country : Argentina Place : Belo Horizonte, Country : Brazil Place : Lodz, Country : Poland Place : Dortmund, Country : Germany Place : Utrecht, Country : Netherlands Place : Oslo, Country : Norway Place : Palembang, Country : Indonesia
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