You will no longer need an exspensive API for danish license plate lookups with dmr.py, this tool scrapes the danish vehicle registry directly and returns the data for you to use in your application. Be aware, that because of skat.dk's very slow database lookups, it could take about 3-4 seconds before getting a response.
python -m pip install dmr.pyInstall current code from this repo, you will need to have git installed in order to do this. The code in the repo might not match the current release, if you experience errors you should switch back the the latest release.
python -m pip install git+https://github.com/j4asper/dmr.pyThe library is very easy to use, these two examples might be the only methods you need to know.
Get a Vehicle object synchronously.
from dmr import DMR
# Import models directly if needed:
from dmr.models import *
license_plate = "cw87553"
# Get Vehicle object with data
vehicle: Vehicle = DMR.get_by_plate(license_plate)
print("The vehicle make is:", vehicle.make)
# The vehicle make is: SuzukiGet a Vehicle object asynchronously.
from dmr import DMR
license_plate = "cw87553"
# Get Vehicle object with data
vehicle = await DMR.get_by_plate_async(license_plate)
print("The vehicle make is:", vehicle.make)
# The vehicle make is: SuzukiThis is the easiest way to check if a license plate is in a valid format. This will only check if the format is valid, not if the license plate actually exists. This check is also used when using the get_by_plate() method.
from dmr import DMR
is_valid = DMR.validate_license_plate("cw87553")
# True
is_valid = DMR.validate_license_plate("Very Cool")
# False
is_valid = DMR.validate_license_plate("GGGGGGG")
# TrueThe model classes are Pydantic BaseModels or Enums. These are easily converted into a dict or a json string. I have listed 3 main methods of doing it.
from dmr import DMR
# Get Vehicle object
vehicle = DMR.get_by_plate("cw87553")
# If you want your model as a JSON string, this is the method to use. This is the equivalent of using json.dumps() on a dictionary.
vehicle.model_dump_json()
# Preferred method to use if you want sub models to be made into dicts as well
vehicle.model_dump()
# This is not recommeded, because the underlying Insurance object isn't parsed as a dictionary.
dict(vehicle)The default units used in this library is metric. A Converter class has been implemented, to make it easier to convert units to imperial and the other way around.
from dmr import Converter
range_in_km = 100
range_in_miles = Converter.km_to_miles(range_in_km)
print("Range in miles:", range_in_miles)
# Range in miles: 62.14I would be more than happy if those who know how to make pull requests, contribute with code! Sometimes XPaths may not match with the ones on the danish vehicle registry, if that's the case, then you can either make a pull request with XPath fixes or make an issue saying that the XPaths are wrong, then I will fix it. XPaths are kept in this file.
- Add documentation with all possible values.
- Scrape more parts of the DMR site to get even more data.
- Add more broad tests with different types of cars or bikes.
If you have used this tool, you might notice that it's very slow. That is probably due to our government using multiple 80-100 GB XML files as the databse for all vehicles in Denmark. It roughly takes about 3 seconds to do a lookup on the DMR site. Caching is highly recommended!
This is a collectoin of license plates that you can use for testing.
You can find the list here. Most of the license plates in this file should be valid.