Grab the current hottest temps from popular north american cities

high_temps.py

#!/usr/bin/env python3
# Grab the current hottest temps from somewhat popular (461) north american cities
import cloudscraper
from bs4 import BeautifulSoup

url = "https://www.timeanddate.com/weather/?continent=namerica&sort=6"
headers = {
    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:154.0) Gecko/20100101 Firefox/154.0",
    "Referer": "https://www.timeanddate.com/weather/",
}

scraper = cloudscraper.create_scraper(
    browser={"browser": "firefox", "platform": "linux", "desktop": True},
    enable_stealth=True,
    stealth_options={
        "min_delay": 1.0,
        "max_delay": 3.0,
        "human_like_delays": True,
        "randomize_headers": True,
        "browser_quirks": True,
    },
)

resp = scraper.get(url, headers=headers)
resp.raise_for_status()

soup = BeautifulSoup(resp.text, "html.parser")
table = soup.find("table", class_="zebra fw tb-theme")

results = []
for row in table.find_all("tr"):
    cells = row.find_all("td")
    if len(cells) < 6:
        continue
    city_cell = cells[0]
    temp_cell = cells[3]

    city_link = city_cell.find("a")
    if not city_link:
        continue
    city = city_link.get_text(strip=True)

    temp_text = temp_cell.get_text(strip=True)
    temp = temp_text.split()[0]

    results.append((city, temp))
    if len(results) == 16:
        break

output = " • ".join(f"{city} {temp}°" for city, temp in results)
print(output)