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 Description
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 needed to design and develop reliable performance
data flows, but also deploy your codebase to 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. 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, and LXML.
By the end of this book, you will be able to scrape websites more
efficiently and able to
deploy and operate your scraper in the cloud.
What you will learn
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Use a variety of tools to scrape any website and data, including
BeautifulSoup, Scrapy, Selenium and many more
-
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 for
This 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.
