Day 8 of 20: Building a Weather App with Python – Step-by-Step Guide

As part of my ongoing 20-day challenge to build one Python project a day, I’m thrilled to present my 8th project, a Weather App built with Python.

The goal of this challenge is simple: to push myself daily, improve my Python skills, and build a solid portfolio of small but meaningful projects.

In this blog post, I’ll take you through every step I followed to build this app, from library installation to writing and testing the code.

If you're just getting started with Python and want to build something useful and fun, a weather app is a great mini-project. In this post, I’ll walk you through how I built a simple weather app that fetches real-time weather data using web scraping from Google search results. No API keys. No complicated setup. Just Python and a few lines of code!

📦 What You'll Need

Before we dive in, make sure you have the following Python libraries installed:

pip install requests beautifulsoup4

The Complete Code

import requests from bs4 import BeautifulSoup search = "Weather in Skopje" url = f"https://www.google.com/search?&q={search}" r = requests.get(url) s = BeautifulSoup(r.text, "html.parser") update = s.find("div", class_="BNEawe").text print(update)

Here’s the code and a breakdown of how it works:

1. Import the Libraries

import requests from bs4 import BeautifulSoup

• requests lets me send HTTP requests to websites.
• BeautifulSoup helps to parse and extract data from HTML

2. Define the Search Query

search = "Weather in Skopje"

I define the city I want weather data for. You can change "Skopje" to any city like "Weather in New York" or "Weather in Tokyo".

3. Build the Google Search URL

url = f"https://www.google.com/search?&q={search}"

This creates a URL that performs a Google search for the weather.

4. Send the Request

r = requests.get(url)

This line fetches the HTML content of the Google search results page.

5. Parse the HTML

s = BeautifulSoup(r.text, "html.parser")

I convert the HTML into a structured format using BeautifulSoup so I can search for specific elements.

6. Extract the Weather Info

update = s.find("div", class_="BNEawe").text

Google displays the current temperature and weather inside a <div> tag with the class name BNEawe. This line finds that element and extracts the text (like 28°C).

7. Print the Result

print(update)

Finally, I print the weather update.

Example Output

When you run the script, you might get something like:

26°C

Conclusion

You’ve just built a simple weather app using Python, requests, and BeautifulSoup to scrape data directly from Google search. This is a great beginner project to practice web scraping and get comfortable with handling HTML in Python.

▶️ Demo Video

⚠️ A Word of Caution

Google’s page structure can change at any time, and this might break your script. This method is good for quick experiments but not recommended for production apps.

For more stable and legal use cases, consider using a free weather API like:

• OpenWeatherMap
• WeatherAPI
• Weatherstack