main.py

from bs4 import BeautifulSoup
import requests

response = requests.get("https://news.ycombinator.com/")
yc_web_page = response.text
soup = BeautifulSoup(yc_web_page, 'html.parser')

article_titles = []
article_links = []
for article_tag in soup.find_all(name="span", class_="titleline"):
    article_titles.append(article_tag.getText())
    article_links.append(article_tag.find("a")["href"])

article_upvotes = []
for article in soup.find_all(name="td", class_="subtext"):
    if article.span.find(class_="score") is None:
        article_upvotes.append(0)
    else:
        article_upvotes.append(int(article.span.find(class_="score").contents[0].split()[0]))

max_points_index = article_upvotes.index(max(article_upvotes))
print(
    f"{article_titles[max_points_index]}, "
    f"{article_upvotes[max_points_index]} points, "
    f"available at: {article_links[max_points_index]}."
)


# https://news.ycombinator.com/robots.txt