Getting started

Introduction to tweety

If you are new to tweety, this is the place to begin. The goal of this tutorial is to get you set-up and rolling with tweety. Twitter's API is annoying to work with, and has lots of limitations. tweety scrape all the tweets using python and selenium - No API rate limits. No restrictions. Extremely fast.

Source	Link
PyPI:	https://pypi.org/project/tweety/
Repository:	https://santhoshse7en.github.io/tweety/
Documentation:	https://santhoshse7en.github.io/tweety_doc/

Welcome to tweety

>>> from twitter.tweety import tweets
>>> tweety = tweets('Super Deluxe')

>>> print(dir(tweety))
['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'final_sentiment_scores', 'tweets', 'tweets_df']

>>> tweety.final_sentiment_scores
{'neu': 0.792, 'neg': 0.032, 'pos': 0.176, 'compound': 0.0}

Average Tweets

It appears you can ask for up to 25 pages around tweets reliably (~1200 tweets)