web scrapping tutorial.py

#web scrapping tutorial by Clever Programmer (YT account), built in visual studio code with Python 3

import requests, pandas as pd
from bs4 import BeautifulSoup

page = requests.get('https://forecast.weather.gov/MapClick.php?lat=34.099695000000054&lon=-118.33539999999999')
soup = BeautifulSoup(page.content, 'html.parser')
week = soup.find(id='seven-day-forecast-body')
print(week)
items = week.find_all(class_='tombstone-container')
print(items[0])

print(items[0].find(class_='period-name').get_text())
print(items[0].find(class_='short-desc').get_text())
print(items[0].find(class_='temp').get_text())

period_names = [item.find(class_='period-name').get_text() for item in items]
short_descriptions = [item.find(class_='short-desc').get_text() for item in items]
temperatures = [item.find(class_='temp').get_text() for item in items]
print(period_names)
print(short_descriptions)
print(temperatures)

weather_stuff = pd.DataFrame(
    {
        
        'period' : period_names, 
        'short_descriptions' : short_descriptions,
        'temperatures' : temperatures
        
    }

)
print(weather_stuff)