What property data can I extract from Immowelt.de using Go?

Elias Dorthe · 2024-12-21T07:39:44+00:00

Scraping property data from Immowelt.de using Go allows you to collect information such as property names, prices, and locations. Immowelt is a popular German real estate platform, making it a valuable resource for studying rental and sales trends in the housing market. Using Go’s HTTP and HTML parsing libraries, you can send requests to the website and extract structured data efficiently. The first step involves inspecting the HTML structure to identify elements that hold the desired data points. By automating the scraping process, you can gather comprehensive datasets for analysis.Pagination is important when dealing with large datasets, as property listings are often distributed across multiple pages. Automating navigation ensures that no data is missed. Introducing random delays between requests reduces the likelihood of detection and makes the scraping process smoother. Once collected, the data can be stored in structured formats for easier analysis. Below is an example Go script for extracting property data from Immowelt.package main import ( "fmt" "net/http" "golang.org/x/net/html")func main() { url : "https://www.immowelt.de/" 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 "property-card" { fmt.Println("Property found") } } } for child : node.FirstChild; child ! nil; child child.NextSibling { parse(child) } } parse(doc)}This script collects property data from Immowelt.de’s property pages. Adding pagination handling ensures that all listings across multiple pages are captured. Random delays between requests mimic human behavior and reduce detection risk

General Web Scraping

What property data can I extract from Immowelt.de using Go?

Posted by Elias Dorthe on 12/21/2024 at 7:39 am
Scraping property data from Immowelt.de using Go allows you to collect information such as property names, prices, and locations. Immowelt is a popular German real estate platform, making it a valuable resource for studying rental and sales trends in the housing market. Using Go’s HTTP and HTML parsing libraries, you can send requests to the website and extract structured data efficiently. The first step involves inspecting the HTML structure to identify elements that hold the desired data points. By automating the scraping process, you can gather comprehensive datasets for analysis.
Pagination is important when dealing with large datasets, as property listings are often distributed across multiple pages. Automating navigation ensures that no data is missed. Introducing random delays between requests reduces the likelihood of detection and makes the scraping process smoother. Once collected, the data can be stored in structured formats for easier analysis. Below is an example Go script for extracting property data from Immowelt.
```
package main
import (
	"fmt"
	"net/http"
	"golang.org/x/net/html"
)
func main() {
	url := "https://www.immowelt.de/"
	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 == "property-card" {
					fmt.Println("Property found")
				}
			}
		}
		for child := node.FirstChild; child != nil; child = child.NextSibling {
			parse(child)
		}
	}
	parse(doc)
}
```
This script collects property data from Immowelt.de’s property pages. Adding pagination handling ensures that all listings across multiple pages are captured. Random delays between requests mimic human behavior and reduce detection risk
Elias Dorthe replied 1 day, 11 hours ago 1 Member · 0 Replies
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