![]() ![]() In a computer vision context, the low hanging fruit for data collection is scraping pre-existing images from web pages. There are a number of ways to go about data collection such as taking readings from data collection instruments or manually recording observations where suitable. While there are a number of preloaded datasets on libraries such as PyTorch and Scikit-Learn, one might need to collect and curate custom datasets for a specific project. Sending HTTP Requests with CollyĪt the top of our jack-scraper.go file, we’ll add our package’s name, which as a convention, we’ll name main:Ĭ.OnError(func(r *colly.Data collection is an infrequently talked about topic in the machine learning/deep learning space. Now we can consider our environment set! 2. to install Colly.Īll the dependencies downloaded were added to the go.mod file and a new go.sum file – which may contain hashes for multiple versions of a module- was created. Without leaving the terminal, let’s create a new jack-scraper.go file using: touch jack-scraper.go and – using the command found on Colly’s documentation – go get -u /gocolly/colly/. In Go, “a module is a collection of Go packages stored in a file tree with a go.mod file at its root.” The command above – go mod init – tells Go that the directory we’re specifying ( go-scraper) is the module’s root. Next, open the terminal and type the following command to create or initialize the project: go mod init go-scraper. If everything goes well, it will log the version like this:įor this tutorial, we’ll be using VScode to write our code, so we’ll also download Go’s VScode extension for a better experience. Note: Open the terminal and enter the go version command. With it installed, let’s create a new directory named go-scraper and open it on VScode or your preferred IDE. Once the download is complete, follow the instructions to install it on your machine. Note: You can also use Homebrew in MacOS or Chocolatey in Windows to install Go. In our case, we’ll pick the ARM64 version as we’re using a MacBook Air M1. We first need to head to and download the right version of Go based on our operating system. However, if you still feel lost while reading, here’s a great introduction to Go to watch beforehand. Web Scraping with Goįor this project, we’ll scrape the Jack and Jones shoe category page to extract product names, prices, and URLs before exporting the data into a JSON file using Go’s web scraping library Colly.Ī consideration: We’ll try to explain every step of the way as detailed as possible, so even if you don’t have experience with Go, you’ll be able to follow along. In summary, Go is an excellent option if you need to optimize scraping speed or if you’re looking for a statically typed language to transition to. In an experiment run by Arnesh Agrawal, Python (using the Beautiful Soup library) took almost 40 minutes to scrape 2000 URLs, while Go (using the Goquery package) took less than 20 minutes. Unlike Python or JavaScript, Go is a compiled language that outputs machine code directly, making it faster than Python.Thus, IDEs can provide better auto-complete features and suggestions than in other languages. IDEs can be more helpful the more they understand the code, and because we declare the data types in Go, there’s less ambiguity in the code.Integrated Development Environments (IDEs) will highlight errors immediately and even show you suggestions to fix them. Go is a statically typed language, making it easier to find errors without running your program.There are three main reasons for choosing Go over other languages: ![]() If you’ve followed our series, you’ve seen how easy web scraping is with languages like Python and JavaScript, so why should you give Go a shot? Why Use Go Over Python or JavaScript for Web Scraping? Its simplicity and efficiency is why we decided to add Golang to our web scraping beginners series and show you how to use it to extract data at scale. Go allows developers to create complicated projects with a simpler syntax than C, but with almost the same efficiency and control. ![]()
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