An Approach to Web Advertising Server parsing - Apartment Price Analysis in the Czech republic

Abstract

The real estate market is not subject to frequent analyzes in the academic field, which is due to the difficulty in obtaining data. By automatic polling, we are able to get data on the floor area of advertised apartments and the asked purchase price. A Python script was written to retrieve data from sreality.cz. At 2:30 am every day, the script downloaded ads from the website sreality.cz. The MongoDB database is used to store ads. New ads are saved directly to the database. If an ad has already been stored in the database, it will only be updated if needed (price change, etc.). Then, daily and monthly summaries for used filters are created in the database. The filtered data can then be displayed or exported to a file via the web interface. We will present analysis of data in various municipalities of the Czech Republic in the period 09/2018 – 08/2019.