A friend is currently in search of houses in Italy, particularly in the "Porta Romana" area. Unfortunately, the websites he has explored do not provide information about the price per square meter (m²). To assist him in making a well-informed investment decision, I have developed a program that calculates the price per square meter based on the available data. This program aims to enhance his property search by providing an additional metric for evaluating potential investments.

Explore the Streamlit App here.

We will extract data from Immobiliare.it.

if __name__=='__main__':

    medaglie_d_oro = RealEstate('porta-romana-medaglie-d-oro')
    medaglie_d_oro.collect_data()
    medaglie_d_oro.DataFrame()

    cadore_montenero = RealEstate('porta-romana-cadore-montenero')
    cadore_montenero.collect_data()
    cadore_montenero.DataFrame()

Perform ETL (Extract, Transform, Load) operations and prepare the data for the Streamlit app.

Ensure that requirements.txt and packages.txt are included.

requirements.txt

pandas==1.5.3
streamlit==1.26.0
yfinance==0.2.28

packages.txt

libssl-dev
libffi-dev
libxml2-dev
libxslt1-dev
zlib1g-dev