jonathanrabbi / immoeliza-webscraping

challenge-collecting-data

challenge-collecting-data ImmoEliza

Date of project

26/06/2023-30/06/2023

Project

A fictional real estate company "ImmoEliza" wants to create a Machine Learning model to make price predictions on real estate sales in Belgium. Herein, a dataset would need to be created to gather information about at least 10.000 properties all over Belgium. This dataset will later be used as a training set for the prediction model.

Data Collection and Scraping

We focused on scraping the data from "Immoweb", a highly utilised real estate platform in Belgium to list new available property. We had gathered data concerning:

Price

Address

Building Condition

Construction Year

Bedrooms

Terrace (surface)

Shower rooms

Office

Toilets

Energy Class

Type of Kitchen

Furnished

Parking Space

Garden Area

Installation

To run the code, you will need to install/import the following:

Requests

BeautifulSoup

ThreadPoolexecutor

Regex

Pandas

Time

Criteria

Contains a minimum of 10,000 inputs- yes

Contains data for all of Belgium-yes

Non-numeric values have been minimized-yes

Used threading to speed up the collection-yes

Personal situation

Repository : `challenge-collecting-data`

Type of Challenge : `Consolidation`

Team Challenge : `Group`

Team Members : `Fré Van Oers`, `Jonathan_Rab`, `Mythili`