Scrape Immobilienscout24 data using Python. You can use it as a Python library or a standalone CLI application.
Online documentation is available on https://readthedocs.org.
Immoscrapy is tested on Linux, Mac and Windows and all Python versions >= 3.7.
The CLI allows currently for four types of queries:
immoscrapy --help
usage: immoscrapy [-h] {rent-apartment,buy-apartment,rent-house,buy-house} ...
Query Immobilienscout24 offers
positional arguments:
{rent-apartment,buy-apartment,rent-house,buy-house}
optional arguments:
-h, --help show this help message and exit
each of the types has its own set of options:
immoscrapy buy-apartment --help
usage: immoscrapy buy-apartment [-h] -c COUNTRY [-r REGION] [-z CITY] [-p PRICE] [-o NUMBEROFROOMS] [-s LIVINGSPACE] [-y CONSTRUCTIONYEAR]
Query for apartments for sale
optional arguments:
-h, --help show this help message and exit
-c COUNTRY, --country COUNTRY
-r REGION, --region REGION
-z CITY, --city CITY
-p PRICE, --price PRICE
price range: min-max, -max or min-
-o NUMBEROFROOMS, --numberofrooms NUMBEROFROOMS
number of rooms: min-max, -max or min-
-s LIVINGSPACE, --livingspace LIVINGSPACE
living space: min-max, -max or min-
-y CONSTRUCTIONYEAR, --constructionyear CONSTRUCTIONYEAR
construction year: min-max, -max or min-
running it:
immoscrapy buy-apartment --country de --region berlin --price 100000-800000 --numberofrooms 5-
# get nicely formatted tabular data showing the results
immoscrapy is available on pypi, you can install it via:
pip install immoscrapy