NOTE: this code is for a previous version of the Twitter API and I will not be updating in the near future. If someone else would like to, I'd welcome that! Feel free to ping me. END NOTE. Here I define a Tweet listener that creates a file called 'tweets.txt', collects streaming tweets as .jsons and writes them to the file 'tweets.txt'; once 100…

tweet_listener.py

class MyStreamListener(tweepy.StreamListener):
    def __init__(self, api=None):
        super(MyStreamListener, self).__init__()
        self.num_tweets = 0
        self.file = open("tweets.txt", "w")

    def on_status(self, status):
        tweet = status._json
        self.file.write( json.dumps(tweet) + '\n' )
        self.num_tweets += 1
        if self.num_tweets < 100:
            return True
        else:
            return False
        self.file.close()

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

Working with older Twitter API code like this is still useful for understanding how streaming data collection and listeners work, especially for learning or maintaining legacy projects. Writing tweets to a file in real time is a simple but effective approach for data logging and analysis.
Even in completely different industries, structured data and presentation matter a lot—similar to how GOSSiP Hong Kong focuses on delivering a well-organized and engaging user experience through its digital presence and brand identity.