Web Scraping with Python: Collecting Data from the Modern Web, by Ryan Mitchell
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Web Scraping with Python: Collecting Data from the Modern Web, by Ryan Mitchell
Free Ebook PDF Web Scraping with Python: Collecting Data from the Modern Web, by Ryan Mitchell
Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once.
Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice.
- Learn how to parse complicated HTML pages
- Traverse multiple pages and sites
- Get a general overview of APIs and how they work
- Learn several methods for storing the data you scrape
- Download, read, and extract data from documents
- Use tools and techniques to clean badly formatted data
- Read and write natural languages
- Crawl through forms and logins
- Understand how to scrape JavaScript
- Learn image processing and text recognition
- Amazon Sales Rank: #35561 in eBooks
- Published on: 2015-06-15
- Released on: 2015-06-15
- Format: Kindle eBook
About the Author
Ryan Mitchell is a Software Engineer at LinkeDrive in Boston, where she develops their API and data analysis tools. She is a graduate of Olin College of Engineering, and is a Masters degree student at Harvard University School of Extension Studies. Prior to joining LinkeDrive, she was a Software Engineer working on web scraping and data analysis at Abine.
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Most helpful customer reviews
32 of 33 people found the following review helpful. Highly recommended. I wish I had this book two years ago By Gerard Cunningham I really liked this book, for the following reasons:1. It is a great introduction to web scraping. The reader is given confidence to use well-known Python packages such as BeautifulSoup and get useful results from scraping webpages in a very short time.2. Where to go after learning the basics? - the author describes the tools, techniques and frameworks to use for scraping dynamic websites, including code examples. This is the most challenging part of the book because it frequently involves combining tools and the reader will have to get his/her hands dirty and learn by doing also. This is reasonable since different websites present different challenges.3. I liked the author's writing style. She favors simple explanations, identifies potential pitfalls and makes clear, technical recommendations based on her experience.Highly recommended. I wish I had this book two years ago.
22 of 25 people found the following review helpful. I can finally web scrape, and you can too with this book! By Sigmandis After learning the basics of Python I really struggled to dig into a project. Programming, just like a foreign language, leaves your memory quickly if you don't use it. I had tried web scraping with several video tutorials, but couldn't work through the tutorials to the point of understanding how to build one myself. Then...I got Ryan Mitchell's book. This book sets you up with not only the basics, but also more advanced techniques that you'll need to really build out your scraper. Ryan touches on other subjects such as using a database, working around data hidden in Javascript, cleaning up data, using NLPT, and more. You'll get a solid foundation to launch into your own Web Scraping project, and learn just enough about additional topics (like MySql) to integrate them into your scraper. I really appreciate how Ryan made this approachable for both a Python beginner, and for an intermediate user.
11 of 14 people found the following review helpful. Both a guide and a reference By M. Ritter Writing this sort of book is particularly challenging because readers will come in knowing different subsets of the material being addressed. However, I found that Ryan did a great job of separating out sections so that I could skip the parts that I already knew, and zoom in on the sections that I need for any specific project. In that way, it manages to serve as both a mostly-linear teaching book, but also a reference.I'd also really appreciated Ryan's nuanced reasoning on the ethics of scraping, which got a layer deeper than simply throwing responsibility over to the reader with some version of "with great power comes great responsibility", and got into a thoughtful discussion of how to make the call about whether a potential application is legitimate.
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