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.followers_ids()
The followers_ids() method of the API class in Tweepy module is used to get the IDs of all the followers of a user.
Syntax : API.followers_ids(id / user_id / screen_name)
Parameters : Only use one of the 3 options:
- id : specifies the ID or the screen name of the user.
- user_id : specifies the ID of the user, useful to differentiate accounts when a valid user ID is also a valid screen name.
- screen_name : specifies the screen name of the user, useful to differentiate accounts when a valid screen name is also a user ID.
Returns : a list of Integers
Example 1 : Using followers_ids() method with the screen name.
# 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) # screen name of the user screen_name = "CoursesGfG" # getting the followers list followers = api.followers_ids(screen_name) print(screen_name + " has " + str(len(followers)) + " followers.") |
Output :
CoursesGfG has 198 followers.
Example 2 : Using followers_ids() method with the user ID.
# user ID of the user user_id = 1037141442 # getting the followers list followers = api.followers_ids(user_id) print(api.get_user(user_id).screen_name + " has " + str(len(followers)) + " followers.") |
Output :
GeeksQuiz has 3449 followers.
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