What data can I scrape from Coolblue.nl product listings using Go?

Lisbet Verica · 2024-12-21T10:24:28+00:00

Scraping product listings from Coolblue.nl using Go allows you to collect data such as product names, prices, and availability for a variety of electronics and household items. Coolblue is a prominent retailer in the Netherlands, offering an extensive catalog that can be invaluable for price tracking and market research. Using Go’s HTTP and HTML parsing libraries, you can efficiently retrieve and process this data. The first step involves inspecting Coolblue’s website to locate HTML elements that contain the relevant data points, such as product details.Pagination plays a significant role when scraping large datasets, as Coolblue often distributes products across multiple pages. Automating this process ensures that no products are missed. Introducing random delays between requests can reduce detection risks and mimic human behavior. Once collected, saving the data in structured formats like JSON or CSV enables easier analysis. Below is an example Go script for scraping Coolblue product listings.package main import ( "fmt" "net/http" "golang.org/x/net/html")func main() { url : "https://www.coolblue.nl/" resp, err : http.Get(url) if err ! nil { fmt.Println("Failed to fetch the page") return } defer resp.Body.Close() doc, err : html.Parse(resp.Body) if err ! nil { fmt.Println("Failed to parse HTML") return } var parse func(*html.Node) parse func(node *html.Node) { if node.Type html.ElementNode && node.Data "div" { for _, attr : range node.Attr { if attr.Key "class" && attr.Val "product-card" { fmt.Println("Product found") } } } for child : node.FirstChild; child ! nil; child child.NextSibling { parse(child) } } parse(doc)}This script extracts product listings from Coolblue.nl’s product pages. Pagination handling ensures a comprehensive dataset by navigating through multiple pages. Adding random delays between requests reduces the likelihood of detection.

General Web Scraping

What data can I scrape from Coolblue.nl product listings using Go?

Posted by Lisbet Verica on 12/21/2024 at 10:24 am
Scraping product listings from Coolblue.nl using Go allows you to collect data such as product names, prices, and availability for a variety of electronics and household items. Coolblue is a prominent retailer in the Netherlands, offering an extensive catalog that can be invaluable for price tracking and market research. Using Go’s HTTP and HTML parsing libraries, you can efficiently retrieve and process this data. The first step involves inspecting Coolblue’s website to locate HTML elements that contain the relevant data points, such as product details.
Pagination plays a significant role when scraping large datasets, as Coolblue often distributes products across multiple pages. Automating this process ensures that no products are missed. Introducing random delays between requests can reduce detection risks and mimic human behavior. Once collected, saving the data in structured formats like JSON or CSV enables easier analysis. Below is an example Go script for scraping Coolblue product listings.
```
package main
import (
	"fmt"
	"net/http"
	"golang.org/x/net/html"
)
func main() {
	url := "https://www.coolblue.nl/"
	resp, err := http.Get(url)
	if err != nil {
		fmt.Println("Failed to fetch the page")
		return
	}
	defer resp.Body.Close()
	doc, err := html.Parse(resp.Body)
	if err != nil {
		fmt.Println("Failed to parse HTML")
		return
	}
	var parse func(*html.Node)
	parse = func(node *html.Node) {
		if node.Type == html.ElementNode && node.Data == "div" {
			for _, attr := range node.Attr {
				if attr.Key == "class" && attr.Val == "product-card" {
					fmt.Println("Product found")
				}
			}
		}
		for child := node.FirstChild; child != nil; child = child.NextSibling {
			parse(child)
		}
	}
	parse(doc)
}
```
This script extracts product listings from Coolblue.nl’s product pages. Pagination handling ensures a comprehensive dataset by navigating through multiple pages. Adding random delays between requests reduces the likelihood of detection.
Lisbet Verica replied 1 day, 3 hours ago 1 Member · 0 Replies
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