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Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, Microservices, Docker, and AWS True PDF

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Description

Books : Computers and Technology : English
 

 Python Web Scraping
Cookbook: Over 90 proven recipes to get you scraping with Python, Microservices, Docker, and AWS 

 By
Michael Heydt

Published by Packt Publishing in 2018-PDF 

  
Description

Untangle your web scraping complexities and access web data with
ease using Python scripts

About This Book

Hands-on recipes for
advancing your web scraping skills to expert level.
One-Stop Solution Guide to address complex and challenging web
scraping tasks using Python.
Understand the web page structure and collect meaningful data from the website with
ease
Who This Book Is For

This book is ideal for Python programmers, web administrators, security
professionals or someone who wants to perform web analytics would find this book relevant and useful. Familiarity with
Python and basic understanding of web scraping would be useful to take full advantage of this book.

What You
Will Learn

Use a wide variety of tools to scrape any website and data—including BeautifulSoup, Scrapy,
Selenium, and many more
Master expression languages such as XPath, CSS, and regular expressions to extract web
data
Deal with scraping traps such as hidden form fields, throttling, pagination, and different status codes
Build robust scraping pipelines with SQS and RabbitMQ
Scrape assets such as images media and know what to do when
Scraper fails to run
Explore ETL techniques of build a customized crawler, parser, and convert structured and
unstructured data from websites
Deploy and run your scraper-as-aservice in AWS Elastic Container Service
In
Detail

Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop
high-performance scrapers and deal with crawlers, sitemaps, forms automation,

Ajax-based sites, caches, and
more.You'll explore a number of real-world scenarios where every part of the development/product life cycle will be
fully covered. You will not only develop the skills to design and develop reliable, performance data flows, but also
deploy your codebase to an AWS. If you are involved in software engineering, product development, or data mining (or are
interested in building data-driven products), you will find this book useful as each recipe has a clear purpose and
objective.

Right from extracting data from the websites to writing a sophisticated web crawler, the
book's independent recipes will be a godsend on the job. This book covers Python libraries, requests, and
BeautifulSoup. You will learn about crawling, web spidering, working with AJAX websites, paginated items, and more. You
will also learn to tackle problems such as 403 errors, working with proxy, scraping images, LXML, and more.

By the end of this book, you will be able to scrape websites more efficiently and to be able to deploy and operate
your scraper in the cloud.

Style and approach

This book is a rich collection of recipes that will
come in handy when you are scraping a website using Python.

Addressing your common and not-so-common pain
points while scraping website, this is a book that you must have on the shelf. 

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