Given the Twitter2 app uses an example data source of the Twitter sample API, how would I go about making this useful by configuring it more specifically to follow certain hashtags or download certain timelines?
reviewing the stream-twitter.py script I have found the following line that looks familiar, but it still only gets me to narrow my search for key words etc.
Original Line 172: streamer.statuses.sample()
streamer.statuses.filter(track="FIFA", language="en")
Any ideas?
I have also tried, but it doesnt seem to work.
streamer.search.tweets(q='#FIFA', count=1000)
Yea I found the answer the other day, there is a function already built into the twitter2 app that can be found in the "streamer" function
ie: streamer.user(track="FiFA")
The issue wasnt with the twitter interface, my issue was that I couldn't find any documentation on what was already built into the app and that my coding is so novice that I couldn't reverse engineer it properly.
Thanks for the reply 🙂
Yea I found the answer the other day, there is a function already built into the twitter2 app that can be found in the "streamer" function
ie: streamer.user(track="FiFA")
The issue wasnt with the twitter interface, my issue was that I couldn't find any documentation on what was already built into the app and that my coding is so novice that I couldn't reverse engineer it properly.
Thanks for the reply 🙂
Have you used stream.filter function?
I wrote my own py script using tweepy and it's much simpler as i can control the data outside of Splunk and feed the data i want to SPlunk.
from tweepy.streaming import StreamListener.
stream.filter(track=['This That','Movies','Audio'.....])
Hope this helps!
Thanks,
Raghav