Find Current Weather of Any City using OpenWeatherMap API in Python

The OpenWeatherMap is indeed a service that offers weather information to the creators for web services and mobile applications, including current weather information, forecasts, and historical data.

It offers a limited free usage tier as well as an API with JSON, XML, and HTML endpoints. Users can request extended forecasts, graphical maps, and current weather information (showing cloud cover, wind speed, pressure, and precipitation).

Using Python's OpenWeatherMap API, the current weather in any city:

Requests and json modules are necessary.

Method 1: Using the request Module and json:

In this method, we will use request and json module.

# import the necessary components
import requests, json
# Entering of our API key here into it
api_key = "Entering of the API"
# base url variable for url storage
base_urlin = "http://api.openweathermap.org/data/2.5/weather?"
# Give in the city name into it
city_namein = input("Entering up the city name : ")
# complete_url to be variable to in the store
# complete url to be inserted for address
complete_urlin = base_urlin + "appidin=" + api_keyin + "&q=" + city_namein
# return response object for the get function of requests module
response = requests.get(complete_urlin)
# Change json form data into
 # python format data using the json method 
#of the response object.
x = response.json()
# Currently, x includes a list of nested dictionaries.
# A value of "cod" equal to "404" 
#indicates that the city has been located; 
#otherwise, the city has not been located.
if x["cod"] != "404":
	# the "main" # key's value in the variable y
	y = x["main"]
	# Save the value that goes with the "temp" key of y.
	current_temperaturein = y["temp"]
	#Keep the value associated with the "pressure" key of y in memory.	current_pressurein = y["pressure"]
	# storing up the value corresponding
	# to the y-"humidity" note's
	current_humidityin = y["humidity"]
	# the value of "weather" should be saved in the variable z.
	z = x["weather"]
	# storing up the value corresponding
	#in the "description" key at the index 0 of z
	weather_descriptionin = z[0]["description"]
	# printing up the following values
	print(" Temperature (in kelvin unit) = " +
					str(current_temperaturein) +
		"\n atmospheric pressure display(in hPa unit) = " +
					str(current_pressurein) +
		"\n humidity display(in percentage) = " + str(current_humidityin) +
		"\n description = " + str(weather_descriptionin))
else:
print(" City Unknown ")

Output

Enter city name : Mumbai
 Temperature display(in kelvin unit) = 318.15
 atmospheric pressure display(in hPa unit) = 956
 humidity display(in percentage) = 45
 description = Cloudy

Method 2: Using the request Module and BeautifulSoup

In this method, we will use request and BeautifulSoup module.

#importing needed files
from bs4 import BeautifulSoup
#importing requests
import requests
headers = {
	'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win32; x32) AppleWebKit/537.36 (KHTML, like Gecko) Brave/58.0.3029.110 Safari/537.3'}
def weather(place):
	place = place.replace(" ", "+")
	res = requests.get(
	f'https://www.google.com/search?q={city}&oq={city}&aqs=chrome.0.36t89l2j0l4j89d5s660.6128j1j7&sourceid=chrome&ie=UTF-8', headers=headers)
	print("Searching for..\n")
	s = BeautifulSoup(res.text, 'html.parser')
	l = s.select('#wob_loc')[0].getText().strip()
	t =s.select('#wob_dts')[0].getText().strip()
	i= s.select('#wob_dc')[0].getText().strip()
	w = s.select('#wob_tm')[0].getText().strip()
	print(l)
	print(t)
	print(i)
	print(w+"�C")
place = input("Enter up the Name of City: ")
place = place+" w"
w (place)
print("Have a good Day:)")

Input

Output

Enter the Name of City: Hyderabad
Searching for...
Hyderabad, Telangana
Wednesday, 10:00 pm
Partly Cloudy
28°C
Have a Good Day:)

Explanation:

Here, we'll employ a few of the modules and functions described below in the second strategy,

BeautifulSoup: It is a Python package used for web scraping that allows users to retrieve data from HTML and XML files. From the page's source code, it creates a parse tree that can be used to retrieve information in a more comprehensible and hierarchical way. Use the terminal code below to install the system with a lovely soup library.

Requests

To make HTTP requests in this case, we'll use the requests module in Python. Use the following code in the terminal to install.

We are utilising headers in this case because they contain protocol-specific data that comes before the raw message, which is information collected from the website.

Then, in order to receive the data from Google, we will employ the get() method and supply the Google search and the city name to it. The necessary HTML data from the webpage will then be parsed using BeautifulSoup.

Then, after storing them in a variable, we will employ the select() method to retrieve the specific data, such as time, information, and position.

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