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Python Web Scraping Cookbook

You're reading from Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

Product type Paperback

Published in Feb 2018

Publisher Packt

ISBN-13 9781787285217

Length 364 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Data Mining

Author (1):

Michael Heydt

View More author details

Table of Contents (13) Chapters

Preface

1. Getting Started with Scraping

2. Data Acquisition and Extraction FREE CHAPTER

3. Processing Data

4. Working with Images, Audio, and other Assets

5. Scraping - Code of Conduct

6. Scraping Challenges and Solutions

7. Text Wrangling and Analysis

8. Searching, Mining and Visualizing Data

9. Creating a Simple Data API

10. Creating Scraper Microservices with Docker

11. Making the Scraper as a Service Real

12. Other Books You May Enjoy

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Searching the DOM with Beautiful Soup's find methods

We can perform simple searches of the DOM using Beautiful Soup's find methods. These methods give us a much more flexible and powerful construct for finding elements that are not dependent upon the hierarchy of those elements. In this recipe we will examine several common uses of these functions to locate various elements in the DOM.

Getting ready

ff you want to cut and paste the following into ipython, you can find the samples in 02/02_bs4_find.py.

How to do it...

We will start with a fresh iPython session...

You have been reading a chapter from

Python Web Scraping Cookbook

Published in: Feb 2018

Publisher: Packt

ISBN-13: 9781787285217

© 2018 Packt Publishing Limited All Rights Reserved

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Authors (1)

Michael Heydt

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.

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