X-Git-Url: https://projects.mako.cc/source/twitter-api-cdsw-solutions/blobdiff_plain/1e2d406ccc7bfaa9c73ab809367ce5ae2ab6fc79..d4653b5f599083dc7631ff1a215096ac58b626d8:/solution-topics-1.py diff --git a/solution-topics-1.py b/solution-topics-1.py new file mode 100644 index 0000000..b2c8503 --- /dev/null +++ b/solution-topics-1.py @@ -0,0 +1,31 @@ +# 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) +