Web Scraping with Python, Data Extraction from the Modern Web, Mitchell R., 2024

Web Scraping with Python, Data Extraction from the Modern Web, Mitchell R., 2024.

   This book is designed to serve not only as an introduction to web scraping but also as a comprehensive guide to collecting, transforming, and using data from uncooperative sources. Although it uses the Python programming language and covers many Python basics, it should not be used as an introduction to the language.
If you don’t know any Python at all, this book might be a bit of a challenge. Please do not use it as an introductory’ Python text. With that said, I’ve tried to keep all concepts and code samples at a beginning-to-intermediate Python programming level in order to make the content accessible to a wide range of readers. To this end, there are occasional explanations of more advanced Python programming and general computer science topics where appropriate. If you are a more advanced reader, feel free to skim these parts!




How the Internet Works.
I have met very few people in my life who truly know how the internet works, and I am certainly not one of them.

The vast majority of us are making do with a set of mental abstractions that allow us to use the internet just as much as we need to. Even for programmers, these abstractions might extend only as far as what was required for them to solve a particularly tricky problem once in their career.

Due to limitations in page count and the knowledge of the author, this chapter must also rely on these sorts of abstractions. It describes the mechanics of the internet and web applications, to the extent needed to scrape the web (and then, perhaps a little more).

This chapter, in a sense, describes the world in which web scrapers operate: the customs, practices, protocols, and standards that will be revisited throughout the book.

Contents.
Preface.
I. Building Scrapers.
1. How the Internet Works.
2. The Legalities and Ethics of Web Scraping.
3. Applications of Web Scraping.
4. Writing Your First Web Scraper.
5. Advanced HTML Parsing.
6. Writing Web Crawlers.
7. Web Crawling Models.
8. Scrapy.
9. Storing Data.
II. Advanced Scraping.
10. Reading Documents.
11. Working with Dirty Data.
12. Reading and Writing Natural Languages.
13. Crawling Through Forms and Logins.
14. Scraping JavaScript.
15. Crawling Through APIs.
16. Image Processing and Text Recognition.
17. Avoiding Scraping Traps.
18. Testing Your Website with Scrapers.
19. Web Scraping in Parallel.
20. Web Scraping Proxies.
Index.
About the Author.



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