Sentiment.Analysis/twitter_streaming_api_csv.py at master · rich1123/Sentiment.Analysis · GitHub

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from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener
import time
import json

######################
##  Load API Tokens
######################

tokenfile = open('/Users/psehgal/dev/Sentiment.Analysis/twitter_tokens.json')
tokens = json.load(tokenfile)
ckey = tokens['ckey']
csecret = tokens['csecret']
atoken = tokens['atoken']
asecret = tokens['asecret']

######################
##  Create listener class
######################


class listener(StreamListener):

    def on_data(self, data):
        print(data)
        savefile = open('twitDB1.csv','a')
        savefile.write(data)
        savefile.write('\n')
        savefile.close()

        # tweet = data.split(',"text":')[1].split('","source')[0]
        # print(tweet)
        # savethis = str(time.time())+':::'+tweet
        # savefile = open('twitDB2.csv', 'a')
        # savefile.write(savethis)
        # savefile.write('\n')
        # savefile.close()
        return True

    def on_error(self, status):
        print (status)


######################
##  main program
######################

print('api started')
auth = OAuthHandler(ckey, csecret)
auth.set_access_token(atoken, asecret)

twitterStream = Stream(auth, listener())
twitterStream.filter(track=["$TSLA"])