C_Users_Axay_AppData_Local_Packages_Microsoft.SkypeApp_kzf8qxf38zg5c_LocalState_79632c9d-6303-4089-a67c-1b10842106e2

Project Title: Scrape Real Estate Agents in Germany from Immobilienscout24

Project Description:

I need the data of all real estate agents crawled, who are listed on https://www.immobilienscout24.de

They are rooted under this URL folder:
https://www.immobilienscout24.de/anbieter/*

Examples:
https://www.immobilienscout24.de/anbieter/profil/immoberlin-carsten-d-topel/das-team-von-immoberlin-de

The data must be made available within an Excel Sheet.

Later on, the data must be stored and updated on a daily basis to calculate trends. And also to fuel a WordPress website.

1) Detect all URLs of regions and cities, located below this URL folder:
https://www.immobilienscout24.de/anbieter/immobilienmakler/*

They seem to list/aggregate all the agents into regions, e.g.
https://www.immobilienscout24.de/anbieter/immobilienmakler/de/nordrhein-westfalen/bielefeld

2) Detect all the profiles, located below this URL folder:
https://www.immobilienscout24.de/anbieter/profil/*

The relevant data to be scraped is the data from their individual profiles, e.g.
https://www.immobilienscout24.de/anbieter/profil/davidsohn-immobilien/thorsten-davidsohn

3) Store the crawled data within an Excel Sheet, so that I can QA the data.

4) If the data is collectively exhaustive and correct, I’ll need your scraper also in the future, to collect and compare the data on a daily basis. Would you be able to deliver that? I guess this is separate pricing then.

For similar work requirement feel free to email us on info@logicwis.com.