--- /dev/null
+# Modify twitter3.py to produce a list of 1000 tweets about a topic of
+# your choice.
+
+# Note: I've changed it to search for "community data" instead of "data science."
+
+import encoding_fix
+import tweepy
+from twitter_authentication import CONSUMER_KEY, CONSUMER_SECRET, ACCESS_TOKEN, ACCESS_TOKEN_SECRET
+import time
+
+auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
+auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
+
+api = tweepy.API(auth)
+
+# 100 is the maximum number taht can be returned according to:
+# https://dev.twitter.com/rest/reference/get/search/tweets
+
+counter = 0
+for page in tweepy.Cursor(api.search, "community data", count=100).pages():
+ counter = counter + len(page)
+ for tweet in page:
+ print(tweet.user.screen_name + "\t" + str(tweet.created_at) + "\t" + tweet.text)
+ # end this loop if we've gotten 1000
+ if counter == 1000:
+ break
+
+ # This page suggests we can do one request every 5 seconds:
+ # https://dev.twitter.com/rest/reference/get/search/tweets
+ time.sleep(5)
+