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Best Web Scraping Books



The AI Optify data team writes about topics that we think software engineers will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Best Web Scraping Books - For this post, we have scraped various signals (e.g. online ratings and reviews, topics covered, author influence in the field, year of publication, social media mentions, etc.) from web about web scraping books. We have fed all above signals to a Machine Learning algorithm to compute a score and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:


1. Web Scraping with Python: Collecting Data from the Modern Web
$25

Score: 100/100

Learn web scraping and crawling techniques to access unlimited data from any web source in any format. With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing.


2. Web Scraping with Python
$22.90

Score: 58/100

This book is aimed at developers who want to use web scraping for legitimate purposes. Prior programming experience with Python would be useful but not essential. Anyone with general knowledge of programming languages should be able to pick up the book and understand the principals involved.


3. Learning Scrapy
$34

Score: 58/100

This book covers the long awaited Scrapy v 1.0 that empowers you to extract useful data from virtually any source with very little effort. It starts off by explaining the fundamentals of Scrapy framework, followed by a thorough description of how to extract data from any source, clean it up, shape it as per your requirement using Python and 3rd party APIs. Next you will be familiarised with the process of storing the scrapped data in databases as well as search engines and performing real time analytics on them with Spark Streaming.