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PDF Ebook

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Product details

File Size: 4995 KB

Print Length: 256 pages

Simultaneous Device Usage: Unlimited

Publisher: O'Reilly Media; 1 edition (June 15, 2015)

Publication Date: June 15, 2015

Language: English

ASIN: B00ZJNH0G0

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Amazon Best Sellers Rank:

#481,348 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

The code presented in this new book will not run due to changes (at least in part) to Beautiful Soup, which is used throughout the book. I'd love to get my $30 back to apply to the new version of the book when it comes out. Amazon seems to indicate the book is due in April '18 but the author's blog indicates it is not due out until the fall of '18. This book is useless as is so I'm not so sure I want to support the author by buying the new edition when it comes out. Lesson learned: don't buy any programming/technology books more than a year old as technology just changes too quickly.

This is mostly a beginners' manual, so don't expect extremely complicated programs or tips. However, if you are new to web scraping, this is a great introductory book to the tools available in Python and their uses. In my case, I had learned most of what was in the book using trial and error (and lots of time going through Stack Exchange questions!). If I had had this book before, I would have saved a lot of time learning the basics.

This is a truly excellent book. It is the closest I have seen in a book to the experience of sitting with a friendly, approachable expert who is ready to answer your questions intelligently and in a supportive way. You need the very basics of Python as can be learned from the Pycharm educational version but everything else is provided.

90% of the time this book has exactly what I needed to solve a real world problem. 10% of the time, it went over my head and I spent hours on YouTube shoring up the material I couldn't gain from the book. In example, the section on storing data in MySQL via PyMySQL was a bit too short, unclear for me to get a real handle on how to automate db queries with Python.Nonetheless, as an entry level python programmer, I found the book mostly readily accessible. If you're an experienced coder (python or otherwise) this book is a great investment in your data acquisition skills.I'll end on a positive note - my boss likes weather updates for our offices in four different cities (we do logistics.) He wants this report at 6:15am daily. I was able to write a .py script that scrapes the webpage, compiles results into a string, logs into my email account and sends the report to him daily, on time. Now I never have to worry about this early morning task again!If you need to automate the retrieval, processing and delivery of online information, this book is for you!

Good at describing how web scraping works but does not go into a lot more details on most areas. For example, it lacks completely as how to handle cookies. It's true that the requests library handles the cookies automatically but if the cookies need to be manipulated, it doesn't describe how such can be done.

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.

Good book with some good tips. Fairly basic but does touch on some advanced scraping techniques briefly. Author does a good job and I would absolutely recommend this to others looking to learn more about extracting info from web pages.

Clear, concise, and engaging. I have been able to easily translate the lessons into practical projects. The author spells out the considerations for using each particular technique and the situations in which some might be more effective than others. The chapters are mutually reinforcing but you may find yourself skipping around if you already know what you want to get out of web scraping. This should not be your first python book.

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