Skip to content
Related Articles

Related Articles

Improve Article

Find current weather of any city using OpenWeathermap API in Python

  • Difficulty Level : Easy
  • Last Updated : 09 Aug, 2021
Geek Week

The OpenWeatherMap is a service that provides weather data, including current weather data, forecasts, and historical data to the developers of web services and mobile applications.

It provides an API with JSON, XML, and HTML endpoints and a limited free usage tier. Making more than 60 calls per minute requires a paid subscription starting at USD 40 per month. Access to historical data requires a subscription starting at 150 USD per month. Users can request current weather information, extended forecasts, and graphical maps (showing cloud cover, wind speed, pressure, and precipitation).

To use this current weather data API, one must need the API key, which can be get from here.

Note: User need to create an account on openweathermap.org then only can use the APIs.
 

Modules Needed : 

requests
json

Below is the implementation : 



Python3




# Python program to find current
# weather details of any city
# using openweathermap api
 
# import required modules
import requests, json
 
# Enter your API key here
api_key = "Your_API_Key"
 
# base_url variable to store url
 
# Give city name
city_name = input("Enter city name : ")
 
# complete_url variable to store
# complete url address
complete_url = base_url + "appid=" + api_key + "&q=" + city_name
 
# get method of requests module
# return response object
response = requests.get(complete_url)
 
# json method of response object
# convert json format data into
# python format data
x = response.json()
 
# Now x contains list of nested dictionaries
# Check the value of "cod" key is equal to
# "404", means city is found otherwise,
# city is not found
if x["cod"] != "404":
 
    # store the value of "main"
    # key in variable y
    y = x["main"]
 
    # store the value corresponding
    # to the "temp" key of y
    current_temperature = y["temp"]
 
    # store the value corresponding
    # to the "pressure" key of y
    current_pressure = y["pressure"]
 
    # store the value corresponding
    # to the "humidity" key of y
    current_humidity = y["humidity"]
 
    # store the value of "weather"
    # key in variable z
    z = x["weather"]
 
    # store the value corresponding
    # to the "description" key at
    # the 0th index of z
    weather_description = z[0]["description"]
 
    # print following values
    print(" Temperature (in kelvin unit) = " +
                    str(current_temperature) +
          "\n atmospheric pressure (in hPa unit) = " +
                    str(current_pressure) +
          "\n humidity (in percentage) = " +
                    str(current_humidity) +
          "\n description = " +
                    str(weather_description))
 
else:
    print(" City Not Found ")

Output : 
 

 Enter city name : Delhi
 Temperature (in kelvin unit) = 312.15
 atmospheric pressure (in hPa unit) = 996
 humidity (in percentage) = 40
 description = haze

 Approach 2:

Here in the second approach, we will use some of the following modules and functions as listed below:

1. BeautifulSoup: It is a library in python used to extract data from HTML and XML files i.e for web scraping purposes. It generates a parse tree from the page source code, which can be used to extract data in a more readable and hierarchical manner. For installing a beautiful soup library in the system use the code below in the terminal:-

-->> pip install beautifulsoup

2. Requests: Here we will use Python’s requests module to make HTTP requests. For installing use the code below in the terminal.

-->> pip install requests

3. Here we are using headers because the headers contain protocol-specific information that is placed before the raw message i.e retrieved from the website.

4. After that, we will use the get() function and pass the google search in it along with the name of the city to retrieve the data from google.

Then we will use beautifulsoup and parse the HTML data that is required from the website. 

5. Then we will use the select() function to retrieve the particular information like time, info, location, store them in some variable, and, store them further.

After all of this, we will finally print the data i.e stored in the variables.

Python3




from bs4 import BeautifulSoup
import requests
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
 
 
def weather(city):
    city = city.replace(" ", "+")
    res = requests.get(
        f'https://www.google.com/search?q={city}&oq={city}&aqs=chrome.0.35i39l2j0l4j46j69i60.6128j1j7&sourceid=chrome&ie=UTF-8', headers=headers)
    print("Searching...\n")
    soup = BeautifulSoup(res.text, 'html.parser')
    location = soup.select('#wob_loc')[0].getText().strip()
    time = soup.select('#wob_dts')[0].getText().strip()
    info = soup.select('#wob_dc')[0].getText().strip()
    weather = soup.select('#wob_tm')[0].getText().strip()
    print(location)
    print(time)
    print(info)
    print(weather+"°C")
 
 
city = input("Enter the Name of City ->  ")
city = city+" weather"
weather(city)
print("Have a Nice Day:)")
 
# This code is contributed by adityatri

Sample Input:

Mahoba

Sample Output:

Enter the Name of City ->  Mahoba
Searching...

Mahoba, Uttar Pradesh
Monday, 12:00 am
Cloudy
27°C
Have a Nice Day:)

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :