rt_mlfc.py

import tweepy
from time import sleep
from credentials import *

# Access and authorize our Twitter credentials from credentials.py
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)
api = tweepy.API(auth)

#print(api + '\n')

while True:

    # For loop to iterate over tweets with #machinelearningflashcards, limit to 10
    for tweet in tweepy.Cursor(api.search,q='#machinelearningflashcards').items(10):
        try:
            # Add \n escape character to print() to organize tweets
            print('\nTweet by: @' + tweet.user.screen_name)
            # Retweet tweets as they are found
            if (not tweet.retweeted) and ('RT @' not in tweet.text) and ('chrisalbon' in tweet.user.screen_name):
                tweet.retweet()
                print('Retweeted the tweet')

            sleep(5)

        except tweepy.TweepError as e:
            print(e.reason)

        except StopIteration:
            break

    sleep(600)