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Compare Go and Ruby for scraping product availability on Verkkokauppa Finland
How would scraping product availability from Verkkokauppa, Finland’s largest online electronics retailer, differ between Go and Ruby? Does Go’s Colly library handle concurrent scraping more efficiently, or is Ruby’s Nokogiri easier to implement for smaller-scale tasks? Would either approach be better suited for handling dynamic content, such as stock levels that might depend on user inputs or JavaScript rendering?
Below are two implementations—one in Go and one in Ruby—for scraping product availability from Verkkokauppa. Which one provides better scalability and ease of use for this specific task?Go Implementation:package main import ( "fmt" "log" "github.com/gocolly/colly" ) func main() { // Create a new Colly collector c := colly.NewCollector() // Scrape product availability c.OnHTML(".product-availability", func(e *colly.HTMLElement) { availability := e.Text fmt.Println("Product Availability:", availability) }) // Handle errors c.OnError(func(_ *colly.Response, err error) { log.Println("Error occurred:", err) }) // Visit the Verkkokauppa product page err := c.Visit("https://www.verkkokauppa.com/fi/product-page") if err != nil { log.Fatalf("Failed to visit website: %v", err) } }Ruby Implementation:
require 'nokogiri' require 'open-uri' # URL of the Verkkokauppa product page url = 'https://www.verkkokauppa.com/fi/product-page' # Fetch the page content doc = Nokogiri::HTML(URI.open(url)) # Scrape product availability availability = doc.at_css('.product-availability') if availability puts "Product Availability: #{availability.text.strip}" else puts "Availability information not found." end -
4 Replies
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Go’s Colly library excels in performance and concurrency, making it more suitable for scraping multiple product pages at once. However, it may require more setup compared to Ruby’s Nokogiri for smaller, simpler tasks.
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Ruby’s Nokogiri is simpler to implement and better suited for static content scraping. However, if the availability information is dynamically loaded, using Ruby with a headless browser like Selenium might be necessary.
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Dynamic stock levels or user-input-dependent data may require integrating JavaScript-rendering tools. In such cases, both languages would need supplementary tools—Playwright for Go or Selenium for Ruby.
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For large-scale scraping projects, Go’s efficiency and concurrency handling provide a clear advantage. However, Ruby offers a more beginner-friendly approach, which might be preferable for developers unfamiliar with Go.
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