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.geo_id()
The geo_id() method of the API class in Tweepy module is used to fetch a location by its Twitter ID.
Syntax : API.geo_id(id)
Parameters :
- id : Twitter ID of the location.
Returns : a list of objects of class Place
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) # Twitter ID of London id = "457b4814b4240d87" # fetching the location location = api.geo_id(id) # printing the information print("Place Type : " + location.place_type) print("Name : " + location.name) print("Full Name : " + location.full_name) print("Country : " + location.country) |
Output :
Place Type : city Name : London Full Name : London, England Country : United Kingdom
Example 2 : Exception is raised when giving invalid ID.
# invalid ID id = "xyz" # fetching the location location = api.geo_id(id) |
Output :
raise TweepError(error_msg, resp, api_code=api_error_code)
tweepy.error.TweepError: [{'message': 'Sorry, that page does not exist', 'code': 34}]
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