Book Image

Getting Started with Beautiful Soup

By : Vineeth G Nair
Book Image

Getting Started with Beautiful Soup

By: Vineeth G Nair

Overview of this book

Beautiful Soup is a Python library designed for quick turnaround projects like screen-scraping. Beautiful Soup provides a few simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree: a toolkit for dissecting a document and extracting what you need without writing excess code for an application. It doesn't take much code to write an application using Beautiful Soup. Getting Started with Beautiful Soup is a practical guide to Beautiful Soup using Python. The book starts by walking you through the installation of each and every feature of Beautiful Soup using simple examples which include sample Python codes as well as diagrams and screenshots wherever required for better understanding. The book discusses the problems of how exactly you can get data out of a website and provides an easy solution with the help of a real website and sample code. Getting Started with Beautiful Soup goes over the different methods to install Beautiful Soup in both Linux and Windows systems. You will then learn about searching, navigating, content modification, encoding support, and output formatting with the help of examples and sample Python codes for each example so that you can try them out to get a better understanding. This book is a practical guide for scraping information from any website. If you want to learn how to efficiently scrape pages from websites, then this book is for you.
Table of Contents (15 chapters)
Getting Started with Beautiful Soup
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

John J. Czaplewski is a Madison, Wisconsin-based mapper and web developer who specializes in web-based mapping, GIS, and data manipulation and visualization. He attended the University of Wisconsin – Madison, where he received his BA in Political Science and a graduate certificate in GIS. He is currently a Programmer Analyst for the UW-Madison Department of Geoscience working on data visualization, database, and web application development. When not sitting behind a computer, he enjoys rock climbing, cycling, hiking, traveling, cartography, languages, and nearly anything technology related.

Christian S. Perone is an experienced Pythonista, open source collaborator, and the project leader of Pyevolve, a very popular evolutionary computation framework chosen to be part of OpenMDAO, which is an effort by the NASA Glenn Research Center. He has been a programmer for 12 years, using a variety of languages including C, C++, Java, and Python. He has contributed to many open source projects and loves web scraping, open data, web development, machine learning, and evolutionary computation. Currently, he lives in Porto Alegre, Brazil.

Zhang Xiang is an engineer working for the Sina Corporation.