guy-ben-yosef/rentalytics

Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv

🌐 Website

Visit the Rentalytics website for more information.

🏠 Rentalytics

Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv -- Israel

Table of Contents

• 👋 Introduction
• ✨ Features
• ⚙️ Installation
• 🔧 Usage
• 🤝 Contributing
• 📄 License

Introduction

Rentalytics is a project aimed at helping users gather rental price data for houses in their vicinity and gain insights through data analysis using Python. By leveraging this tool, users can make informed decisions when it comes to rental properties in their local housing markets.

Features

• Data collection: Collects rental price data by scraping real estate websites or utilizing APIs provided by data providers.
• Data analysis: Analyzes the collected data using Python libraries to identify trends, patterns, and statistical information about rental prices.
• Geographic visualization: Generates interactive maps or plots to visualize rental prices in different areas near the user.
• Historical data tracking: Keeps track of rental price changes over time, enabling users to observe market fluctuations.
• Customization: Offers flexibility to filter and sort data based on various criteria such as location, property type, amenities, and more.

Installation

1. Clone the repository:

   git clone https://github.com/theguyben/Rentalytics.git
   

2. Install the required dependencies:

   - pip install -r requirements.txt

3. Set up the necessary API keys or credentials as specified in the documentation.

Usage

1. Run the rentalytics.py script to start collecting rental price data.
2. Analyze the data using the provided Jupyter Notebook or Python scripts in the analysis/ directory.
3. Customize the analysis based on your specific needs by modifying the code accordingly.

Contributing

Contributions to Rentalytics are welcome! If you have any ideas, improvements, or bug fixes, please submit a pull request. For major changes, please open an issue first to discuss the proposed changes.

License

This project is licensed under the MIT License.