Housing Price Data Project

This project focuses on collecting and cleaning housing price data from the website mudah.my using Python and its libraries such as Beautiful Soup and Pandas.

File Descriptions

• web_scraping.py: Contains the code for web scraping the website using Beautiful Soup library. The data collected includes the name of the housing listing, price, location, size, and the number of bedrooms.
• data_cleaning.py: Contains the code for cleaning the collected data using pandas.
• housing_price_data.csv: The output file from the web scraping code. It contains the cleaned and organized housing price data.

Getting Started

To run the code, make sure you have the following libraries installed:

• Beautiful Soup
• Pandas

You can install the libraries by running the following command in your terminal:

pip install beautifulsoup4 pandas

After installing the libraries, simply run the web_scraping.py file first to collect the data, and then run the data_cleaning.py file to clean and organize the data. The cleaned data will be stored in the housing_price_data.csv file.