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Go Web Scraping Quick Start Guide

Go Web Scraping Quick Start Guide

By : Smith
3.5 (2)
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Go Web Scraping Quick Start Guide

Go Web Scraping Quick Start Guide

3.5 (2)
By: Smith

Overview of this book

Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping.
Table of Contents (10 chapters)
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Scraping at 100x

By now, you should have a very broad understanding of how to build a solid web scraper. Up to this point, you have learned how to collect information from the internet efficiently, safely, and respectfully. The tools that you have at your disposal are enough to build web scrapers on a small to medium scale, which may be just what you need to accomplish your goals. However, there may come a day when you need to upscale your application to handle large and production-sized projects. You may be lucky enough to make a living out of offering services, and, as that business grows, you will need an architecture that is robust and manageable. In this chapter, we will review the architectural components that make a good web scraping system, and look at example projects from the open source community. Here are the topics we will discuss:

  • Components of a web scraping system...

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