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Python Web Scraping Cookbook - Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS (Paperback)
Loot Price: R1,172
Discovery Miles 11 720
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Python Web Scraping Cookbook - Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS (Paperback)
Expected to ship within 10 - 15 working days
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Untangle your web scraping complexities and access web data with
ease using Python scripts Key Features 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 web page structures and collect data
from a website with ease Book DescriptionPython Web Scraping
Cookbook is a solution-focused book that will teach you techniques
to develop high-performance Scrapers, and deal with cookies, hidden
form fields, Ajax-based sites and proxies. You'll explore a number
of real-world scenarios where every part of the development or
product life cycle will be fully covered. You will not only develop
the skills to design reliable, high-performing data flows, but also
deploy your codebase to Amazon Web Services (AWS). If you are
involved in software engineering, product development, or data
mining or 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 websites to writing a sophisticated web
crawler, the book's independent recipes will be extremely helpful
while on the job. This book covers Python libraries, requests, and
BeautifulSoup. You will learn about crawling, web spidering,
working with AJAX websites, and paginated items. You will also
understand to tackle problems such as 403 errors, working with
proxy, scraping images, and LXML. By the end of this book, you will
be able to scrape websites more efficiently and deploy and operate
your scraper in the cloud. What you will learn Use a variety of
tools to scrape any website and data, including Scrapy and Selenium
Master expression languages, such as XPath and 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 like image media and learn what to do when Scraper fails to
run Explore ETL techniques of building a customized crawler,
parser, and convert structured and unstructured data from websites
Deploy and run your scraper as a service in AWS Elastic Container
Service Who this book is forThis book is ideal for Python
programmers, web administrators, security professionals, and anyone
who wants to perform web analytics. Familiarity with Python and
basic understanding of web scraping will be useful to make the best
of this book.
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