This is a Python program that scrapes weather data from a website and presents it in a readable format. It fetches current weather conditions (temperature, humidity, wind speed) for a specific location from the BBC weather website.
This program demonstrates web scraping techniques using Python. It retrieves weather data by sending HTTP requests to a weather website and parsing the HTML content to extract relevant information using the BeautifulSoup library.
- Python 3.x
- Beautiful Soup library (install using
pip install beautifulsoup4) - Requests library (install using
pip install requests)
- Clone this repository using
git clone https://github.com/Quickmotions/Weather-Data-Web-Scraper. - Navigate to the project directory:
cd weather-scraper. - Run the program:
python weather_scraper.py. - Follow the on-screen instructions to input the desired location.
- Make sure you have Python 3.x installed on your system.
- Install the required libraries using the following command:
pip install beautifulsoup4 requests
No specific configuration is required for this program. However, you can customize the target website and the specific elements you're scraping by modifying the code in weather_scraper.py.
- The program might break if the target website's structure changes. Regular updates might be needed to adapt to such changes.
- Limited amount of Ids, BBC Weather website addresses for locations are stored at 7 digit codes, these must be manually inputted into
locations.datin order to get weather data. - If the website blocks too many requests in a short time, you might encounter issues. Consider adding rate-limiting or using proxies if needed.
Contributions are welcome! If you encounter any issues or have ideas for improvements, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.