This is a solid approach for extracting domain names from HTML content. I like how it uses regex to find URLs, cleans them by removing http(s) and www prefixes, and stores them in a set to avoid duplicates. Sorting at the end makes the output neat and easy to read.

import re

n=int(input()) htmls="\n".join(input() for _ in range(n))

urls = re.findall(r"https?://[^\s\"'>?]+.[a-z]{2,3}", htmls) domains=set() for url in urls: domain=re.sub(r"^https?://?","",url) domain=domain.split("/")[0] if "." in domain: domain=re.sub(r"^(www\d*.)","",domain) domains.add(domain) print(";".join(sorted(domains)))

You can also try testing this on a real website like https://estateagentsilford.co.uk/ to see how it handles actual live URLs, including subdomains and different top-level domains. It’s a practical way to check your regex and parsing logic beyond sample inputs.

Detecting a domain name typically involves parsing the URL string to extract the domain using regex or built-in libraries in languages like Python or JavaScript. According to Wikipedia, a domain name identifies a realm of administrative autonomy within the Internet. In coding challenges, tools like urlparse or regex can simplify this process efficiently. I was practicing with real-world data like food service websites—checking out the Dairy queen menu helped simulate parsing dynamic URLs. It’s a fun way to blend real examples into coding logic while sharpening string manipulation skills.

import re import sys

html= sys.stdin.read()

pattern= r'https?://(?:www.|ww2.)?([a-zA-Z0-9-]+.?[a-zA-Z0-9-]+.[a-zA-Z].?[a-zA-Z])'

matches=re.findall(pattern,html)

output=sorted(set(url for url in matches))

print(';'.join(output))