/becode-scraping-project

Primary LanguageHTML

becode-scraping-project

The project create an estate dataset from ImmoWeb that holds the following columns :

-------------------------------------Columns--------------------------------------
Property type             : The type of the property (house, apartment, ...)
Property subtype          : The subtype of the property ( villa, mansion, ...) 
Bedroom number            : The number of bedroom
Bathroom number           : The number of bathroom
Habitable surface         : The habitable surface 
Room number               : The number of room	
Has basement              : If the property has a basement
Has lift                  : If the property has a lift
Has garden                : If the property has a garden
Garden surface            : The garden surface
Toilet number             : The number of toilet
Has swimming pool         : If the property has a swimming pool
Has terrace               : If the property has a terace
Terrace surface           : The terrace surface
Fireplace number          : The number of fireplace
Region                    : The region
Locality                  : The locality
Post code                 : The post code 
Street                    : The street
Number                    : The number of the street 
Condition                 : The property condition
Construction year         : The property construction year
Facade number             : The number of property's facade
Floor number              : The number of floor
Buildable floor surface   : The property buildable floor surface
Kitchen type              : The type of the kitchen ( equiped, semi-equiped, ...)
Land surface              : The land surface
Is furnished              : If the property is funished
Cadastral income          : The cadastral income
Price type                : The type price of the sale (residential sale, group sale, ...)
Price                     : The price of the sale
Price additional value    : The additional price of the sale
Url                       : Url of the property
--------------------------------------------------------------------------------------------

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

You need to install the following package :

For Python 3.X

First, make sure your package tool is up-to-date with your package repositories. Do NOT apt-get upgrade!

  sudo apt-get update

Next, use your package tool to install pip. Do NOT upgrade pip, regardless of warnings.

    sudo apt-get install python3-pip

Installing

A step by step series of examples that tell you how to get a development env running

  • BeautifulSoup
apt-get install python3-bs4 (for Python 3)

or

pip install python3-bs4 (for Python 3)
  • requests
sudo pip install requests
  • pandas
pip install pandas

How the programme works

Authors

  • Mikael Dominguez - BeCoder and Dancer - Wiiki
  • Didier Ukanda
  • Sravanthi

Acknowledgments

  • Hat tip to anyone whose code was used
  • Inspiration
  • etc