INVESTMENT Website

Real Estate Agency Website


Project Overview


Thank you for taking the time to visit the Investment Nieruchomości project! This website was created for the real estate agency 'INVESTMENT Nieruchomości' to showcase detailed information about the agency, its agents, and office locations. It also provides information about franchise opportunities and includes a contact form for inquiries.

Visitors can explore property listings from the agency’s agents, learn more about each agent, view their profiles, and see related photographs. The platform ensures a user-friendly experience for browsing listings and accessing key information about the agency and its offerings.

Look around if you like! For more information, look below or check the sidebar.

INVESTMENT Website

Technology Stack

The website is built using modern front-end technologies: HTML, CSS, and JavaScript, ensuring a responsive and user-friendly interface. The initial design and layout were created using Nicepage, a versatile website builder known for its drag-and-drop functionality and easy export options.

Front-End and Back-End Integration

One of the key advantages of using Nicepage is the ability to export the project as raw HTML. This allowed for deeper customization and code-level adjustments to ensure the design was compatible with the back-end infrastructure. The exported HTML was further optimized and modified to integrate with the back-end framework, making the site dynamic and more functional.

The back-end is powered by Flask, a micro web framework in Python, which provides a lightweight yet robust platform for building scalable web applications. Flask is particularly well-suited for projects requiring flexibility in design and structure. It uses Jinja templates, which enable dynamic content rendering, ensuring that the website displays updated information based on user interactions and database queries.

Hosting and Server Configuration

The Flask application is deployed on a Linux-based hosting server, chosen for its stability and performance. The server configuration was tailored to handle the requirements of a real estate platform, with optimizations for traffic management and efficient loading times. The deployment process involved setting up the necessary server-side environments, including Python, Flask, and database support, ensuring seamless functionality and fast response times.

To manage and serve data dynamically, the website connects to a SQLite database, a lightweight and fast relational database engine. SQLite is a great choice for smaller-scale web applications like this, offering a balance between simplicity and performance. The database stores a wide range of information, including real estate listings, agent profiles, and office locations.

Data Management and Dynamic Content

Flask interacts with the database in real-time, retrieving and displaying up-to-date information. For example, visitors to the site can browse through available property listings, which are fetched from the database and rendered using Jinja templates. Similarly, agent profiles and related images are pulled from the database and dynamically inserted into the appropriate sections of the website.

The use of Jinja templating allows for the seamless integration of back-end data with the front-end presentation, ensuring that content is updated dynamically without the need for manual changes. This approach also enables easy scalability, allowing for the addition of new features and content as the platform grows.

Integration with Investment Manager

The Investment Website shares its database with the Investment Manager CRM application. This integration allows real estate agents to perform CRUD (Create, Read, Update, Delete) operations on the same database that powers the website. Any changes made through the CRM system, such as updating property listings or agent profiles, are immediately reflected on the website in real time. This ensures that the information displayed to visitors is always current and accurate, providing a seamless and efficient user experience.