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.
>>> from twitter_scraper import get_tweets
>>> for tweet in get_tweets('kennethreitz', pages=1):
>>> print(tweet['text'])
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).
First, install markovify:
$ pipenv install markovify>>> import markovify
>>> tweets = '\n'.join([t['text'] 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.$ pipenv install twitter-scraperOnly Python 3.6+ is supported
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