This scraper is using scrapfly.io and Python to scrape property listing data from Immowelt.de.
Full tutorial
The scraping code is located in the immowelt.py
file. It's fully documented and simplified for educational purposes and the example scraper run code can be found in run.py
file.
This scraper scrapes:
- Immowelt property pages for property listing data
- Immowelt property search for finding property listings
In the property saerch scraper, you need to add location_ids
to the API request body, which reprsents the search location. To get these ids, follow these steps:
- Search for properties in a specific location on immowelt.de
- Open developer tools and select the
Netowrk
tab then filter byFetch/XHR
requests - Click on the next search page button to load more data
- You will see the request made to the search API, which named as
searches
- Grab the
location_ids
from the requestPayload
:
For output examples see the ./results
directory.
Note that this code is provided free of charge as is, and Scrapfly does not provide free web scraping support or consultation. For any bugs, see the issue tracker.
This Immowelt.de scraper uses Python 3.10 with scrapfly-sdk package which is used to scrape and parse Immowelt's data.
- Ensure you have Python 3.10 and poetry Python package manager on your system.
- Retrieve your Scrapfly API key from https://scrapfly.io/dashboard and set
SCRAPFLY_KEY
environment variable:$ export SCRAPFLY_KEY="YOUR SCRAPFLY KEY"
- Clone and install Python environment:
$ git clone https://github.com/scrapfly/scrapfly-scrapers.git $ cd scrapfly-scrapers/immowelt-scraper $ poetry install
- Run example scrape:
$ poetry run python run.py
- Run tests:
$ poetry install --with dev $ poetry run pytest test.py # or specific scraping areas $ poetry run pytest test.py -k test_search_scraping $ poetry run pytest test.py -k test_properties_scraping