Metadata-Version: 1.1
Name: twitter-scraper
Version: 0.1.2
Summary: Scrape the Twitter Frontend API without authentication.
Home-page: https://github.com/kennethreitz/twitter-scraper
Author: Kenneth Reitz
Author-email: me@kennethreitz.org
License: MIT
Description-Content-Type: UNKNOWN
Description: 
        Twitter Scraper
        ===============
        
        Twitter's API is annoying to work with, and has lots of limitations —
        luckily their frontend (JavaScript) has it's own API, which I reverse–engineered.
        No API rate limits. No restrictions. Extremely fast.
        
        You can use this library to get the text of any user's Tweets trivially.
        
        Very useful for making markov chains.
        
        Usage
        =====
        
        .. code-block:: pycon
        
            >>> from twitter_scraper import get_tweets
        
            >>> for tweet in get_tweets('kennethreitz', pages=1):
            >>>     print(tweet)
            P.S. your API is a user interface
            s3monkey just hit 100 github stars! Thanks, y’all!
            I’m not sure what this /dev/fd/5 business is, but it’s driving me up the wall.
            …
        
        It appears you can ask for up to 25 pages of tweets reliably (~486 tweets).
        
        Markov Example
        ==============
        
        First, install markovify:
        
        .. code-block:: shell
        
            $ pipenv install markovify
        
        .. code-block:: pycon
        
            >>> import markovify
            
            >>> tweets = '\n'.join([t for t in get_tweets('kennethreitz', pages=25)])
            >>> text_model = markovify.Text(tweets)
            
            >>> print(text_model.make_short_sentence(140))
            Wtf you can’t use APFS on a prototype for “django-heroku”, which does a lot out of me.
        
        Installation
        ============
        
        .. code-block:: shell
        
            $ pipenv install twitter-scraper
        
        Only Python 3.6+ is supported.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
