Get All Follower IDs in Twitter by Tweepy

In order to avoid rate limit, you can/should wait before the next follower page request. Looks hacky, but works:

import timeimport tweepyauth = tweepy.OAuthHandler(..., ...)auth.set_access_token(..., ...)api = tweepy.API(auth)ids = []for page in tweepy.Cursor(api.followers_ids, screen_name="McDonalds").pages():    ids.extend(page)    time.sleep(60)print len(ids)

Hope that helps.

Use the rate limiting arguments when making the connection. The api will self control within the rate limit.

The sleep pause is not bad, I use that to simulate a human and to spread out activity over a time frame with the api rate limiting as a final control.

api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True, compression=True)

also add try/except to capture and control errors.

example code https://github.com/aspiringguru/twitterDataAnalyse/blob/master/sample_rate_limit_w_cursor.py

I put my keys in an external file to make management easier.

https://github.com/aspiringguru/twitterDataAnalyse/blob/master/keys.py

I use this code and it works for a large number of followers :there are two functions one for saving followers id after every sleep period and another one to get the list :it is a little missy but I hope to be useful.

def save_followers_status(filename,foloowersid):    path='//content//drive//My Drive//Colab Notebooks//twitter//'+filename    if not (os.path.isfile(path+'_followers_status.csv')):      with open(path+'_followers_status.csv', 'wb') as csvfile:        filewriter = csv.writer(csvfile, delimiter=',')    if len(foloowersid)>0:        print("save followers status of ", filename)        file = path + '_followers_status.csv'        # https: // stackoverflow.com / questions / 3348460 / csv - file - written -with-python - has - blank - lines - between - each - row        with open(file, mode='a', newline='') as csv_file:            writer = csv.writer(csv_file, delimiter=',')            for row in foloowersid:                writer.writerow(np.array(row))            csv_file.closeddef get_followers_id(person):    foloowersid = []    count=0    influencer=api.get_user( screen_name=person)    influencer_id=influencer.id    number_of_followers=influencer.followers_count    print("number of followers count : ",number_of_followers,'\n','user id : ',influencer_id)    status = tweepy.Cursor(api.followers_ids, screen_name=person, tweet_mode="extended").items()    for i in range(0,number_of_followers):        try:            user=next(status)            foloowersid.append([user])            count += 1        except tweepy.TweepError:            print('error limite of twiter sleep for 15 min')            timestamp = time.strftime("%d.%m.%Y %H:%M:%S", time.localtime())            print(timestamp)            if len(foloowersid)>0 :                print('the number get until this time :', count,'all folloers count is : ',number_of_followers)                foloowersid = np.array(str(foloowersid))                save_followers_status(person, foloowersid)                foloowersid = []            time.sleep(15*60)            next(status)        except :            print('end of foloowers ', count, 'all followers count is : ', number_of_followers)            foloowersid = np.array(str(foloowersid))            save_followers_status(person, foloowersid)                  foloowersid = []    save_followers_status(person, foloowersid)    # foloowersid = np.array(map(str,foloowersid))    return foloowersid