Mining Follower Twitter in Python

FOLLOWER TWITTER in PYTHON


LIMITED ONLY 100-150 TWEETS @ HOURS
CODE :

# -------.PY---
import sys, csv, StringIO
import tweepy

def get_followers(api, screen_name):

    followers_count = api.get_user(screen_name = screen_name).followers_count

    cursor = tweepy.Cursor(api.followers, screen_name = screen_name)
    followers = cursor.items()

    followers_list = []
    count = 1
    for follower in followers:
        _row = (
            follower.screen_name,
            unicode(follower.name),
            unicode(follower.location),
            str(follower.created_at),
            str(follower.followers_count),
            str(follower.friends_count),
            str(follower.statuses_count),
            str(follower.favourites_count),
            str(follower.lang),
            str(follower.verified),
            unicode(follower.description),
        )

        row = [ _str.encode('utf8') for _str in _row ]
        followers_list.append(row)

        sys.stderr.write(str(count) + '/' + str(followers_count)+"\n")
        count += 1
       
        return followers_list


       
def main():
    stringio = StringIO.StringIO()
    writer = csv.writer(stringio)

    csv_header = (
        'screen_name',
        'name',
        'location',
        'created_at',
        'followers_count',
        'friends_count',
        'statuses_count',
        'favourites_count',
        'lang',
        'verified',
        'description',
        )
    writer.writerow(csv_header)
   


    screen_name = 'XXXXXXXXXX - FILL SCREENNAME TWITTER'
    api = tweepy.API()
    writer.writerows(get_followers(api, screen_name))

   
    sys.stdout.write(stringio.getvalue())

if __name__ == "__main__":
    main()