This problem requires implementing a web crawler that explores links within the same hostname as the starting URL. The solution uses Depth-First Search (DFS) to traverse the web pages.
Hostname Extraction: A helper function host(url)
extracts the hostname from a given URL. It removes the "http://" prefix and takes the part of the URL before the first "/".
Depth-First Search (DFS): A recursive function dfs(url)
performs the crawling.
HtmlParser.getUrls(url)
function is called to get links from the current page. For each neighbor link:
dfs
function is recursively called on the neighbor.Initialization and Return: The crawl
function initializes a set to store visited URLs and calls dfs
on the starting URL. Finally, it converts the set of visited URLs into a list and returns it.
Time Complexity: O(V + E), where V is the number of unique URLs and E is the number of links between the URLs. In the worst case, the algorithm visits every URL and follows every link. The time complexity is dominated by the number of URLs and links.
Space Complexity: O(V), where V is the number of unique URLs. The space is used primarily to store the set of visited URLs. In the worst case, all URLs are unique and need to be stored.
class Solution:
def crawl(self, startUrl: str, htmlParser: 'HtmlParser') -> List[str]:
def host(url):
return url.split('/')[2] #Extract host after http:// or https://
def dfs(url):
if url in visited:
return
visited.add(url)
result.append(url)
for next_url in htmlParser.getUrls(url):
if host(next_url) == host(startUrl):
dfs(next_url)
visited = set()
result = []
dfs(startUrl)
return result
Note: The provided code uses url.split('/')
which may fail if an invalid URL is provided without a host. A more robust approach would involve using a dedicated URL parsing library to handle such edge cases. The corrected host
function now accounts for http://
or https://
prefixes more accurately.
The approach is very similar across languages. The main differences lie in syntax and standard library usage for URL parsing and set operations. The provided Java, C++, and Go implementations in the original response accurately reflect this. They use similar DFS logic with minor syntax variations to handle sets and URL parsing.