Book Image

Hands-On Web Scraping with Python

By : Anish Chapagain
Book Image

Hands-On Web Scraping with Python

By: Anish Chapagain

Overview of this book

Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.
Table of Contents (16 chapters)
Free Chapter
Section 1: Introduction to Web Scraping
Section 2: Beginning Web Scraping
Section 3: Advanced Concepts
Section 4: Conclusion

Machine learning

ML is a branch of artificial intelligence (AI) that deals with the study of mathematical and statistical algorithms to process and develop an automated system that can learn from data with minimal human involvement. ML predictions and decision-making models are dependent on data. Web scraping is one of the resources that makes data available to ML models.

Nowadays, many recommendation engines implement ML in order to serve the marketing ads and recommendations such as Google AdSense and AdWords in real time. The process that's implemented in ML is similar to that of data mining and predictive modeling. Both of these concepts seek patterns while skimming through data and modifying the program's actions as per the requirements. Therefore, ML is a handy tool when it comes to exploring the field of business, marketing, retail, stock prices, video surveillance...