February 2018
Beginner to intermediate
364 pages
10h 32m
English
Overview
Python Web Scraping Cookbook is your comprehensive guide to building efficient and functional web scraping tools using Python. With practical recipes, you'll learn to overcome the challenges of dynamic content, captcha, and irregular web structures while deploying scalable solutions.
What this Book will help me do
- Master the use of Python libraries like BeautifulSoup and Scrapy for scraping data.
- Perfect techniques for handling JavaScript-heavy sites using Selenium.
- Learn to overcome web scraping challenges, such as captchas and rate-limiting.
- Design scalable scraping pipelines with cloud deployment in AWS.
- Understand web data extraction techniques with XPath, CSS selectors, and more.
Author(s)
Michael Heydt is a seasoned software engineer and technical author with a focus on data engineering and cloud solutions. Having worked with Python extensively, he brings real-world insights into web scraping. His practical approach simplifies complex concepts.
Who is it for?
This book is perfect for Python developers and data enthusiasts keen to master web scraping techniques. If you're a programmer with insights into Python scripting and wish to scrape, analyze, and utilize web data efficiently, this book is for you.