Book Image

Go Web Scraping Quick Start Guide

By : Vincent Smith
Book Image

Go Web Scraping Quick Start Guide

By: Vincent 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)

Searching using XPath queries

In the previous examples for parsing HTML documents, we treated HTML simply as searchable text, where you can discover information by looking for specific strings. Fortunately, HTML documents actually have a structure. You can see that each set of tags can be viewed as some object, called a node, which can, in turn, contain more nodes. This creates a hierarchy of root, parent, and child nodes, providing a structured document. In particular, HTML documents are very similar to XML documents, although they are not fully XML-compliant. Because of this XML-like structure, we can search for content in the pages using XPath queries.

XPath queries define a way to traverse the hierarchy of nodes in an XML document, and return matching elements. In our previous examples, where we were looking for <a> tags in order to count and retrieve links, we needed...