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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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What is concurrency

Instructions in a program are run by a central processing unit (CPU). This CPU can run multiple threads, which can process instructions for separate tasks, together. This is achieved by switching between the two tasks and executing the instructions in an alternating fashion, like pulling together two sides of a zipper. This overlapping execution of tasks is called concurrency. For the sake of simplicity, we will describe it as performing multiple tasks at the same time. The following diagram shows how it may appear:

Concurrency should not be confused with parallelism, where two things or instructions can literally be executed at the same time.

By introducing a concurrent architecture to your web scraper, you will be able to make multiple web requests to different sites without waiting for one site to respond. In this way, a slow site or bad connection to...

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