Web Scraping with Python: Data Extraction from the Modern Web
Written by Ryan Mitchell, this comprehensive guide dives deep into the intricacies of data extraction from various web platforms using Python. It is particularly beneficial for those who are new to web scraping, as it offers a solid foundation while also covering advanced techniques. Published on March 26, 2024, this book not only walks you through the basics but also emphasizes ethical data scraping practices. Whether you’re aiming to gather data for personal projects or professional work, this resource is a cornerstone for your journey. 
Web Scraping with Python: Collecting More Data from the Modern Web
Also authored by Ryan Mitchell, this follow-up book expands on the concepts from his previous work, published on April 24, 2018. Perfect for those who have grasped the basics, this book delves deeper into more complex projects and strategies to help you collect vast amounts of data efficiently. The techniques discussed optimize performance which is key in today’s fast-paced data-centric world. It’s an essential read for anyone looking to elevate their web scraping skills to the next level. 
Practical Web Scraping for Data Science: Best Practices and Examples with Python
Written by Seppe vanden Broucke and Bart Baesens and published on April 19, 2018, this book is perfect if you’re looking for a practical approach. It blends theory and hands-on projects, ensuring that you not only understand the concepts behind web scraping but can apply them effectively. The insights into best practices can greatly enhance the quality of your scraping projects, making it a vital addition to your bookshelf if you’re aiming for a career in data science. 
Hands-On Web Scraping with Python: Extract quality data from the web using effective Python techniques
This recent title by Anish Chapagain, released on October 6, 2023, provides a very hands-on experience that’s ideal for learners who thrive on doing rather than just reading. Focused on real-world applications, this book showcases numerous techniques to extract high-quality data. The straightforward style makes even complex ideas approachable, providing the perfect resource for beginners and experienced scrapers alike. 
Web Scraping with Python: 50+ Practical Python Codes for Mastering Web Scraping and Data Extraction
Patricia Jethro’s book, set to be published on December 12, 2024, comes packed with practical code examples that make it simple to dive into web scraping. This book emphasizes hands-on learning and provides readers with over 50 ready-to-use Python scripts tailored for various scraping tasks. This resource is perfect for both beginners looking to hit the ground running and more experienced developers seeking new tricks under their sleeves. 
Web Scraping Practical with Python: Crawling with Scrapy, Beautiful Soup, Selenium and more.
In Adam Barone’s book, published on April 12, 2023, readers are introduced to powerful tools such as Scrapy, Beautiful Soup, and Selenium. These acclaimed libraries are essential for any web scraper aiming for efficiency and effectiveness in their work. The book is structured to provide step-by-step guidance, making it accessible even for those new to Python and web scraping. This book is a fantastic way to familiarize yourself with the industry-standard tools utilized by professionals. 
Python Automation Cookbook: 75 Python automation ideas for web scraping, data wrangling, and processing Excel, reports, emails, and more, 2nd Edition
Jaime Buelta presents an updated edition of his popular automation cookbook, released on May 29, 2020. This expansive resource emphasizes the various ways in which Python can streamline and organize data collection and processing. It’s not only about web scraping; it also delves deeply into automation solutions for data wrangling and report generation. A must-have for those looking to save time and enhance productivity through coding. 
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
Michael Heydt’s cookbook, published on February 9, 2018, presents over 90 diverse recipes for web scraping that cater to intermediate and advanced learners. This book covers a variety of platforms and techniques, which allow readers to adapt their skills to different scenarios, including working with microservices and cloud solutions like AWS. It’s a modern resource for anyone looking to tackle web scraping in a variety of environments. 
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
This in-depth guide from Simon Munzert, Christian Rubba, Peter Meißen, and Dominic Nyhuis introduces R for those who may prefer this programming language for data collection. Released on January 20, 2015, the book covers both web scraping and text mining, providing an excellent resource for R users looking to gather and analyze data systematically. It’s a comprehensive guide for building your skills in automation and scraping. 
Practical Website Scraping with Python: build web scraping scripts to download, extract and parse structured data.
Curtis Lister’s book focuses on the practicalities of web scraping with Python and was published on April 6, 2023. It provides readers with clear instructions on how to build their own scripts for web scraping from scratch. The hands-on approach ensures that you can apply what you learn directly to your projects. Perfect for anyone looking to transition from theory to practice in web scraping. 
