Code for How to Extract Weather Data from Google in Python Tutorial

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from bs4 import BeautifulSoup as bs
import requests

USER_AGENT = "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/44.0.2403.157 Safari/537.36"
# US english
LANGUAGE = "en-US,en;q=0.5"

def get_weather_data(url):
    session = requests.Session()
    session.headers['User-Agent'] = USER_AGENT
    session.headers['Accept-Language'] = LANGUAGE
    session.headers['Content-Language'] = LANGUAGE
    html = session.get(url)
    # create a new soup
    soup = bs(html.text, "html.parser")
    # store all results on this dictionary
    result = {}
    # extract region
    result['region'] = soup.find("div", attrs={"id": "wob_loc"}).text
    # extract temperature now
    result['temp_now'] = soup.find("span", attrs={"id": "wob_tm"}).text
    # get the day and hour now
    result['dayhour'] = soup.find("div", attrs={"id": "wob_dts"}).text
    # get the actual weather
    result['weather_now'] = soup.find("span", attrs={"id": "wob_dc"}).text
    # get the precipitation
    result['precipitation'] = soup.find("span", attrs={"id": "wob_pp"}).text
    # get the % of humidity
    result['humidity'] = soup.find("span", attrs={"id": "wob_hm"}).text
    # extract the wind
    result['wind'] = soup.find("span", attrs={"id": "wob_ws"}).text
    # get next few days' weather
    next_days = []
    days = soup.find("div", attrs={"id": "wob_dp"})
    for day in days.findAll("div", attrs={"class": "wob_df"}):
        # extract the name of the day
        day_name = day.find("div", attrs={"class": "vk_lgy"}).attrs['aria-label']
        # get weather status for that day
        weather = day.find("img").attrs["alt"]
        temp = day.findAll("span", {"class": "wob_t"})
        # maximum temparature in Celsius, use temp[1].text if you want fahrenheit
        max_temp = temp[0].text
        # minimum temparature in Celsius, use temp[3].text if you want fahrenheit
        min_temp = temp[2].text
        next_days.append({"name": day_name, "weather": weather, "max_temp": max_temp, "min_temp": min_temp})
    # append to result
    result['next_days'] = next_days
    return result

if __name__ == "__main__":
    URL = ""
    import argparse
    parser = argparse.ArgumentParser(description="Quick Script for Extracting Weather data using Google Weather")
    parser.add_argument("region", nargs="?", help="""Region to get weather for, must be available region.
                                        Default is your current location determined by your IP Address""", default="")
    # parse arguments
    args = parser.parse_args()
    region = args.region
    if region:
        region = region.replace(" ", "+")
        URL += f"+{region}"
    # get data
    data = get_weather_data(URL)
    # print data
    print("Weather for:", data["region"])
    print("Now:", data["dayhour"])
    print(f"Temperature now: {data['temp_now']}°C")
    print("Description:", data['weather_now'])
    print("Precipitation:", data["precipitation"])
    print("Humidity:", data["humidity"])
    print("Wind:", data["wind"])
    print("Next days:")
    for dayweather in data["next_days"]:
        print("="*40, dayweather["name"], "="*40)
        print("Description:", dayweather["weather"])
        print(f"Max temperature: {dayweather['max_temp']}°C")
        print(f"Min temperature: {dayweather['min_temp']}°C")