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You're reading from  Go Web Scraping Quick Start Guide

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789615708
Edition1st Edition
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Vincent Smith
Vincent Smith
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Vincent Smith

Vincent Smith has been a software engineer for 10 years, having worked in various fields from health and IT to machine learning, and large-scale web scrapers. He has worked for both large-scale Fortune 500 companies and start-ups alike and has sharpened his skills from the best of both worlds. While obtaining a degree in electrical engineering, he learned the foundations of writing good code through his Java courses. These basics helped spur his career in software development early in his professional career in order to provide support for his team. He fell in love with the process of teaching computers how to behave and set him on the path he still walks today.
Read more about Vincent Smith

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Why is Go a good fit for web scraping?

The architecture of the Go programming language, as well as its standard libraries, make it a great choice for building web scrapers that are fast, scalable, and maintainable. Go is a statically typed, garbage-collected language with a syntax closer to C/C++. The syntax of the language will feel very familiar to developers coming from object-oriented programming languages. Go also has a few functional programming elements as well, such as higher-order functions. With all that being said, there are three main reasons why Go is a great fit for web scraping:

Go is fast

Speed is one of the primary objectives of the Go programming language. Many benchmarks put the speed of Go on par with that of C++, Java, and Rust, and miles ahead of languages such as Python and Ruby. Benchmark tests should always be considered with a bit of skepticism, but Go consistently stands out as a language with extremely high-performance numbers. This speed is typically coupled with a low resource footprint, as the runtime is very lightweight and does not use much RAM. One of the hidden benefits of this is being able to run Go programs on smaller machines, or to run multiple instances on the same machine, without significant overhead. This reduces the cost of operating a web scraper at larger scales.

This speed is inherently important in building web scrapers, and becomes more noticeable at larger scales. Take, for example, a web scraper that requires two minutes to scrape a page; you could theoretically process 720 pages in a day. If you were able to reduce that time to one minute per page, you would double the amount of pages per day to 1,440! Better yet, this would be done at the same cost. The speed and efficiency of Go allow you to do more with less.

Go is safe

One of the contributing factors to its speed is the fact that Go is statically typed. This makes the language ideal for building systems at a large scale and being confident in how your program will run in production. Also, since Go programs are built with a compiler instead of being run with an interpreter, it allows you to catch more bugs at compile time and greatly reduces the dreaded runtime errors.

This safety net is also extended to the Go garbage collector. Garbage collection means that you do not need to manually allocate and deallocate memory. This helps prevent memory leaks that might occur from mishandling objects in your code. Some may argue that garbage collection impedes the performance of your application, however, the Go garbage collector adds very little overhead in terms of interfering with your code execution. Many source report that the pauses caused by Go's garbage collector are less than one millisecond. In most cases, it's a very small price to pay to avoid chasing down memory leaks in the future. This certainly holds true for web scrapers.

As web scrapers grow in both size and complexity, it can be difficult to track all of the errors that may occur during processing. Thinking on the scale of processing thousands of web pages per day, one small bug could cause significantly affect the collection of data. At the end of the day, data missed is money lost, so preventing as many known errors as possible before the system is running is critical to your system.

Go is simple

Beyond the architecture of the Go programming language itself, the standard library offers all the right packages you need to make web scraping easy. Go offers a built-in HTTP client in the net/http package that is fully-featured out of the box, but also allows for a lot of customization. Making an HTTP request is as simple, as follows:

http.Get("http://example.com")

Also a part of the net/http package are utilities to structure HTTP requests, HTTP responses, and all of the HTTP status codes, which we will dive into later in this book. You will rarely need any third-party packages to handle communication with web servers. The Go standard library also has tools to help analyze HTTP requests, quickly consume HTTP response bodies, and debug the requests and responses in your web scraper. The HTTP client in the net/http package is also very configurable, letting you tune special parameters and methods to suit your specific needs. This typically will not need to be done, but the option exists if you encounter such a situation.

This simplicity will help eliminate some of the guesswork of writing code. You will not need to determine the best way to make an HTTP request; Go has already worked it out and provided you with the best tools you need to get the job done. Even when you need more than just the standard library, the Go community has built tools that follow the same culture of simplicity. This certainly makes integrating third-party libraries an easy task.

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Published in: Jan 2019Publisher: PacktISBN-13: 9781789615708
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Author (1)

author image
Vincent Smith

Vincent Smith has been a software engineer for 10 years, having worked in various fields from health and IT to machine learning, and large-scale web scrapers. He has worked for both large-scale Fortune 500 companies and start-ups alike and has sharpened his skills from the best of both worlds. While obtaining a degree in electrical engineering, he learned the foundations of writing good code through his Java courses. These basics helped spur his career in software development early in his professional career in order to provide support for his team. He fell in love with the process of teaching computers how to behave and set him on the path he still walks today.
Read more about Vincent Smith