Context

In this repository you can find:

• Scripts for scraping Funda.nl
• Data scraped from Funda.nl

The data was scraped from Funda.nl and contains house and apartment related data (e.g price and location, etc. See some of the columns descriptions later below).

You can find the tabular data in the following path: 'data/data_clean.csv'

Some column description:

• 'address' : Street + house number

• 'postcode_city' : Postcode + City string

• 'postcode' : Only postcode

• 'city' : Location of the property on a city level

• 'ad_link' : Link which was used to scrape the data

• 'add_download_date_time' : Date time of

• 'Asking price' : Current price of the property

• 'Original asking price' : Original price of the property

• 'price' : cleaned asking price

• 'sqm_price': livingArea / price

• 'livingArea' : square meter size of the property

• 'Plot size' : the plot size of the property

• 'h_type' : apartment or house based on the 'ad_link' column

• 'Type apartment' : apartment type

• 'Number of stories' : how many stories a given property has

• ...

• 'Building type' :

• 'Year of construction' :

• 'Number of rooms' :

• 'Number of bath rooms' :

• etc.

A short EDA can be found by opening the '03_eda.ipynb' notebook

You will see tables like this in the notebook:

TODO

• put properties to a map --> create heatmap
• create model to estimate prices