How to Build a Twitter Scraping App with Python

3 min read

A simple Python app that can give you valuable insights into just about any topic you can think of With about 6,000 tweets being sent out per second and 500 million posted per day, the average person could not even imagine trying to parse out all this data. Unless that average person is reading this article: then you might venture to try. Now we won’t be checking every tweet, but rather tweets of a bespoke nature. We can extract tweets that mention a specific keyword or phrase and with that information measure how the ‘twitter-verse’ feels about said topic or phrase. This tutorial will be very…...

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Graham Sahagian I am a rookie programmer who is probably better at writing-- interested in all things related to algorithms, cryptocurrency, machine learning and artificial intelligence.