Spastic is a very simple threaded client for Twitter's streaming API that provides methods for listening for new tweets and acting upon them as soon as they are received.
Spastic is designed to be very minimal with its core methods relegated to handling HTTP authentication and dispatching events when data arrives.
You can track keywords or users by calling the filter API method and passing it a track and/or follow argument string. In this example we will track the keyword "foo".
For more information see http://dev.twitter.com/doc/post/statuses/filter
import json
import time
from twitter_stream import TwitterStreamClient
tsc = TwitterStreamClient('user', 'pass',
'http://stream.twitter.com/1/statuses/filter.json',
data='track=foo')
def chirp(content):
# This will output the incoming data (string) to the log
logger.debug(content)
# load the JSON
tweet = json.loads(content)
# now do something with the tweet...
tsc.register_handler(chirp)
if __name__ == '__main__':
# listen for tweets for 30 seconds
tsc.listen()
# we have to block since the listener is threaded
time.sleep(30)
tsc.disconnect()
You can also ingest a random sampling of tweets from all public statuses.
For more information see http://dev.twitter.com/doc/post/statuses/sample
import json
import time
from twitter_stream import TwitterStreamClient
tsc = TwitterStreamClient('user', 'pass',
'http://stream.twitter.com/1/statuses/sample.json')
def chirp(content):
# This will output the incoming data (string) to the log
logger.debug(content)
# load the JSON
tweet = json.loads(content)
# now do something with the tweet...
tsc.register_handler(chirp)
if __name__ == '__main__':
# listen for tweets for 30 seconds
tsc.listen()
# we have to block since the listener is threaded
time.sleep(30)
tsc.disconnect()
HTTP Auth Code Copyright (c) 2009-10 Michael Foord http://www.voidspace.org.uk/python/articles/urllib2.shtml#id5
Anything else Copyright (c) 2011 Lee Trout
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