Book Image

Python Social Media Analytics

By : Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk
Book Image

Python Social Media Analytics

By: Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk

Overview of this book

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Table of Contents (17 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback

Facebook brand page

The best way to familiarize ourselves with the brand activity on Facebook is to check out the actual brand page on Facebook. If you use Facebook, any brand page can be accessed using the search box, as we've done for the case of Google in the following screenshot. We will eventually extract data for from this page using the Facebook API for our analysis.

As shown in the following screenshot, there is content that is posted by both Google and its fans:

The Facebook API

As explained in Chapter 2, Harnessing Social Data - Connecting, Capturing, and Cleaning, the Facebook API consists of multiple functionalities. For the purpose of this chapter, we will use the Facebook Graph API.