Project Property is a tool designed to scrape property websites, analyze the data, and provide insights to users seeking the best value properties. It utilizes Python libraries along with Plotly and Streamlit for the frontend.
- Scraping: Automatically collects data from property websites.
- Analysis: Performs data analysis to identify trends and insights.
- Visualization: Generates interactive visualizations using Plotly.
- User Interface: Provides a user-friendly interface powered by Streamlit.
To install Project Property, you can use pip:
pip install project-property
- Clone the repository:
git clone https://github.com/your-username/project_property.git
- Install the required dependencies:
cd project_property
pip install -r requirements.txt
- Run the Streamlit app:
streamlit run app.py
- Python
- Plotly
- Streamlit
Contributions are welcome! Please see the Contributing Guidelines.
This project is licensed under the MIT License.
- Thanks to the developers of Plotly and Streamlit for their amazing tools.