With Scraping Social Media you'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook and Twitter and how to recognise the value of what is measured. Practical exercises interweave with conceptual lessons that cover ways to use Python to extract data from social media sources, analyze it, and make sense of it visually. You'll learn how to write a script that taps into an API, how to scrape data from websites, and even how to make sense of emoji usage in your data.

Buzzfeeed News Senior Reporter Lam Thuy Vo explains how to get, process, and analyze data from the social web in meaningful ways with the Python programming language.

About the Author
Lam Thuy Vo is a senior reporter at BuzzFeed News where she focuses on the intersection of technology, society, and social media data. She has reported for The Wall Street Journal, Al Jazeera America, and NPR's Planet Money, telling economic stories across the US and throughout Asia. Vo has also spent over a decade as an educator, training newsrooms and developing courses for the Craig Newmark Graduate School of Journalism at CUNY.

Reviews
"If you want to know a little bit about Data Science while learning Python along the way, Mining Social Media is a must read . . . It's a fun and hands on approach to the topic, and I'd love to have read this when I was starting coding!"
-Goncalo Palma, @GonPalma

"Excellently written, with complex topics made easy to understand, and has a welcoming style of prose."
-Ryan K. Louie, MD, PhD, @ryanlouie

"If you haven't read Lam's book, Mining Social Media, trust us - you're gonna dig it."
-Craig Newmark Graduate School of Journalism, @newmarkjschool



Book Information
ISBN 9781593279165
Author Lam Thuy Vo
Format Hardback
Page Count 208
Imprint No Starch Press,US
Publisher No Starch Press,US