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Get user data
Tags: #twitter #automation #ifttt #naas_drivers #snippet
Input
Import library
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import tweepy
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import pandas as pd
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How to get API keys?
Variables
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# API Credentials
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consumer_key = "XXXXXXXXXXXXXXXXXX"
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consumer_secret = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
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user_list = ["JupyterNaas", "Spotify", "ProjectJupyter"]
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Model
Authentication
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try:
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auth = tweepy.AppAuthHandler(consumer_key, consumer_secret)
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api = tweepy.API(auth)
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except BaseException as e:
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print(f"Authentication has been failed due to -{str(e)}")
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Below function will retrive only the information about the user.
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def getUserInfo(user_id):
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# Define a pandas dataframe to store the date:
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user_info_df = pd.DataFrame(columns = ['twitter_id', 'name', 'screen_name', 'description', 'tweet_count', 'friends_count',
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'followers_count', 'favourites_count', 'verified', 'created_at']
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)
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# Collect userinformation using get_user
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for user in user_id:
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info = api.get_user(user) # Get user information request
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twitter_id = info.id
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name = info.name
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screen_name = info.screen_name
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description = info.description
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tweet_count = info.statuses_count
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friends_count = info.friends_count
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followers_count = info.followers_count
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favourites_count = info.favourites_count
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verified = info.verified
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created_at = info.created_at
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user_info = [twitter_id, name, screen_name, description, tweet_count, friends_count,
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followers_count, favourites_count, verified, created_at]
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user_info_df.loc[len(user_info_df)] = user_info
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return user_info_df
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Output
Get user data
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df = getUserInfo(user_list)
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Last modified 2mo ago