Building a weather app using Python and APIs allows you to retrieve real-time weather information for any location in the world. In this guide, we'll walk you through the process of creating a simple Python weather app that fetches weather data from an API and displays it to the user. We'll provide sample code to demonstrate each step of the development process.


Before you begin, make sure you have the following prerequisites:

  • Python installed on your system.
  • Basic knowledge of Python programming.
  • Access to the internet to retrieve data from the weather API.

Getting Weather Data from an API

To build a weather app, you'll need to obtain weather data from a weather API. You can use popular weather APIs like OpenWeatherMap, Weatherbit, or any other of your choice. In this example, we'll use OpenWeatherMap.

To fetch weather data from the OpenWeatherMap API, you'll need to sign up for an API key.

Sample Code

Let's create a Python weather app that retrieves the current weather for a user-specified location using the OpenWeatherMap API. The user will enter the location, and the app will display the weather information.

import requests
# Your OpenWeatherMap API key
api_key = 'YOUR_API_KEY'
# Get user input for the location
location = input("Enter a city or location: ")
# Construct the API URL
url = f"{location}&appid={api_key}"
# Send a GET request to the API
response = requests.get(url)
# Parse the JSON response
data = response.json()
# Extract and display weather information
if data['cod'] == 200:
weather = data['weather'][0]['description']
temperature = data['main']['temp']
humidity = data['main']['humidity']
print(f"Weather in {location}: {weather}")
print(f"Temperature: {temperature}°C")
print(f"Humidity: {humidity}%")
print("Location not found or API error.")

In this example, we send a request to the OpenWeatherMap API, parse the JSON response, and display the weather information, including description, temperature, and humidity.


Building a Python weather app with APIs is a great way to practice working with external data sources. You can expand this project by adding more features, such as a graphical user interface or forecasts for multiple locations.