Getting Started with Twitter’s API: From Zero to Firehose in ~2.5 Minutes

Mining the Social Web‘s goal is to teach you how to transform curiosity into insight, and its virtual machine features two IPython Notebooks that are designed to get you up and running with Twitter’s API as quickly as possible. The following ~2.5 minute screencast shows how to generate OAuth credentials, establish a Twitter API connection, and make API requests for all sorts of things. By the end of the video, you’ll be able to tap into Twitter’s Streaming API to create filters for @mentions, #hashtags, stock symbols, and more.

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This short screencast, teaches you how to access Twitter’s API. In less than ~2.5 minutes, you’ll be able to tapping into the Streaming API to query for screen names, hashtags, stock tickers, and more.


The Chapter 1 (Mining Twitter) notebook provides an orientation and gentle introduction to Twitter’s API while the Chapter 9 (Twitter Cookbook) notebook includes a collection of more than two dozen recipes that are designed to solve recurring problems that typically come up as part of any data analysis. First, follow along with the first notebook and learn the fundamentals. Then, copy, paste, and massage the code in the second notebook to create data processing pipelines as part of your own data science experiments and analyses.


4 Comments on “Getting Started with Twitter’s API: From Zero to Firehose in ~2.5 Minutes”

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