Real Estate Scraping Project.

Description.

Objectives.

This project consists of a web scraping tool for a real estate site. The tool can extract the main characteristics of each real estate property listed on the website and then save them on a CSV for prior data analysis. With this tool, we can obtain:

• The name by which you can find the property.
• Monthly leasing price.
• Number of rooms.
• Number of bathrooms.
• Number of toilets.
• Number of parking spaces.
• A description of the property given by the owner.
• Size of the property in square meters.

Tools & Technologies.

• Python.
• Pandas.
• Request HTTP.
• BeautifulSoup4.

How to use it?

1. Clone this repo on your computer (git clone https://github.com/juanka94/Real-Estate-Scraping.git).
2. Install the packages from requirements.txt (pip install -r requirements.txt).
3. Execute main.py (python3 main.py).
4. Voilà!! You will find the properties.csv inside the assets folder.

Next Features.

• Be able to scrap all the pages of the site. (Currently, you can only scrap the first page).
• Be able to specify the state (province).
• Be able to scrap the properties on sale.
• Add a log to view warnings or errors that occur during web scraping.