getting bro data using python

import requests
import xml.etree.ElementTree as ET

# this is the url for the search request to find cpts based on some query parameters
# in this case the registrationPeriod and the given area
url = "https://publiek.broservices.nl/sr/cpt/v1/characteristics/searches?requestReference=request"

# setup the query params (literal copy of the bro example in the docs)
my_obj = {
    "registrationPeriod": {"beginDate": "2017-01-01", "endDate": "2021-01-01"},
    "area": {
        "enclosingCircle": {
            "center": {"lat": 52.038297852, "lon": 5.31447958948},
            "radius": 0.5,
        }
    },
}

# get it..
x = requests.post(url, json=my_obj)

# oh dear.. xml.. not my strong suit.. please.. start using json! ;-)
# call to all XML hero's.. the next code is awful.. maybe you know a better way?
root = ET.fromstring(x.text)

broIds = []
for child in root:
    if child.tag == "{http://www.broservices.nl/xsd/dscpt/1.1}dispatchDocument":
        for elem in child:
            for e in elem.findall("{http://www.broservices.nl/xsd/brocommon/3.0}broId"):
                broIds.append(e.text)

# ok, we got the id's and we can use the API's get method to get the files
for broId in broIds[:1]: # to spare the bro server let's keep it at one file for now
    url = f"https://publiek.broservices.nl/sr/cpt/v1/objects/{broId}"
    resp = requests.get(url)
    print(resp.text) # there you go!

the bare minimum.. you should add the error handling and dynamic search queries yourself!

Great stuff! Dutch CPTs might be on the menu for my courses soon ;-). Is the XML schema available somewhere?

By the way, I used the xmltodict library to get to the data I want in a slightly more Pythonic way. Dictionary keys still look awful though...

I know that Thomas van der Linden did the tedious work of dissecting the XML format; see https://github.com/Amsterdam/gefxml_viewer/