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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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Summary

In this chapter, we reviewed a number of different techniques to ensure that we and our web scrapers are protected while browsing the internet. By using VPS, we are protecting our personal assets from malicious activity and discoverability on the internet. Proxies also help restrict information about the source of internet traffic, providing a layer of anonymity. VPNs add an extra layer of security over proxies by creating an encrypted tunnel for our data to flow through. Finally, creating whitelists and blacklists ensures that your scraper will not venture too deep into uncharted and undesirable places.

In Chapter 7, Scraping with Concurrency, we will look at how to use concurrency in order to increase the scale of our web scraper without the added cost of incorporating extra resources.

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