It is important to mention that if tweet text exceed 140 characters, the text attribute will be truncated. Every applying case requires different information, choose the interesting fields for your case and discard what is left. For more details, take a look on this page about the Tweet object at Twitter Developer docs. # set default threshold value DEFAULT_THRESHOLD = 10 # older listener with changes class TweetListener(tweepy.StreamListener) : def _init_(self, threshold = DEFAULT_THRESHOLD) : super()._init_() self.threshold = threshold self.tweets = def on_status(self, tweet): if len(self.tweets) < self.threshold : print(tweet) (tweet) else: return False Labels and fieldsĪ single tweet carry a lot of data, such as content text, media, favorite count, owner and so on. Since the streaming process is infinite, it’s also required to set a threshold that will automatically cancel the stream by returning False on on_status once it’s reached. Auto cancelĪ way to archive the recording feature is updating the TweetListener class, setting up a list attribute that is filled by on_status method. Thus, for further analyses, it’s necessary to label and store the data. Once started, it won’t end until be manually stopped (pressing CTRL + C or killing the system process) and it will not record any information. stream.filter(track=words, languages=languages)īy now, the script is only printing tweets. # filter parameters words = languages = # streaming. Notice that this is just an example, feel free to change filter parameters. The code below, for example, starts printing tweets wrote in english containing words related to COVID-19 (“coronavirus”, “covid”, “covid19”, “covid-19”). With it, it’s possible to track tweets containing a list of words or follow tweets from multiple users and even select the languages that will be considered. To start streaming tweets, you can use the filter process available through filter method of the stream object. There are several streaming process available through Tweepy. listener = TweetListener() stream = tweepy.Stream(auth = api.auth, listener=listener) Start stream So, create a Stream object that receives the auth attribute from api variable defined earlier and uses an instance of the above TweetListener class. Tweepy offers a class called Stream that requires authentication and a listener to be instantiated. class TweetListener(tweepy.StreamListener): def on_status(self, tweet): print(tweet.text) Below is an example for just printing tweet text. In order to be able to define what the program will do whenever a tweet is published, it’s required to create a class that extends StreamListener from Tweepy and override on_status method to add the desired behavior. Using Tweepy module, it’s possible to access and customize the tweet streaming feature, which is useful for obtaining a very high volume of tweet data, since it returns real time published tweets. import tweepy auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET) t_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET) api = tweepy.API(auth) Streaming Then, import Tweepy module and apply your keys to authentication, creating a Twitter API object that allows the access. In this article, Tweepy library will be used. There are a lot of possible ways for accessing Twitter API with Python. CONSUMER_KEY = 'XXXXXXX' CONSUMER_SECRET = 'XXXXXXX' ACCESS_TOKEN = 'XXXXXXX' ACCESS_TOKEN_SECRET = 'XXXXXXX' Tweepy To start coding, create a Python script file and set the variables below using your keys. This process is a little time consuming but is required to proceed. In order to access Twitter data by code, it is necessary to apply for Twitter Developer to get your own API keys. In this article, it is described a way for consuming this feature using the programming language Python through the library Tweepy. Making this web site a great source of media and text content which is useful data for analyzing and taking insights.įurthermore, there is a Twitter feature that offers the possibility to grep tweets about certain subject, tracking data related to some words and, then, obtaining information about trend topics, persons, hashtags or any other theme. Twitter is a world wide densely used channel for sharing thoughts, opinions and experiences.
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