A python package that gives you easy access to the most valuable datasets of Germany.
pip install deutschlandFetch information about streets, house numbers, building outlines, …
from deutschland import Geo
geo = Geo()
# top_right and bottom_left coordinates
data = geo.fetch([52.530116236589244, 13.426532801586827],
[52.50876180448243, 13.359631043007212])
print(data.keys())
# dict_keys(['Adresse', 'Barrierenlinie', 'Bauwerksflaeche', 'Bauwerkslinie', 'Bauwerkspunkt', 'Besondere_Flaeche', 'Besondere_Linie', 'Besonderer_Punkt', 'Gebaeudeflaeche', 'Gebaeudepunkt', 'Gewaesserflaeche', 'Gewaesserlinie', 'Grenze_Linie', 'Historischer_Punkt', 'Siedlungsflaeche', 'Vegetationslinie', 'Verkehrsflaeche', 'Verkehrslinie', 'Verkehrspunkt', 'Hintergrund'])
print(data["Adresse"][0])
# {'geometry': {'type': 'Point', 'coordinates': (13.422642946243286, 52.51500157651358)}, 'properties': {'postleitzahl': '10179', 'ort': 'Berlin', 'ortsteil': 'Mitte', 'strasse': 'Holzmarktstraße', 'hausnummer': '55'}, 'id': 0, 'type': 'Feature'}Get financial reports for all german companies that are reporting to Bundesanzeiger.
from deutschland import Bundesanzeiger
ba = Bundesanzeiger()
# search term
data = ba.get_reports("Deutsche Bahn AG")
# returns a dictionary with all reports found as fulltext reports
print(data.keys())
# dict_keys(['Jahresabschluss zum Geschäftsjahr vom 01.01.2020 bis zum 31.12.2020', 'Konzernabschluss zum Geschäftsjahr vom 01.01.2020 bis zum 31.12.2020\nErgänzung der Veröffentlichung vom 04.06.2021',Big thanks to Nico Duldhardt and Friedrich Schöne, who supported this implementation with their machine learning model.
Fetch general company information about any company in the Handelsregister.
from deutschland import Handelsregister
hr = Handelsregister()
# search by keywords, see documentation for all available params
hr.search(keywords="Deutsche Bahn Aktiengesellschaft")
print(hr)Get current product warnings provided by the german federal portal lebensmittelwarnung.de.
from deutschland import Lebensmittelwarnung
lw = Lebensmittelwarnung()
# search by content type and region, see documetation for all available params
data = lw.get("lebensmittel", "berlin")
print(data)
# [{'id': 19601, 'guid': 'https://www.lebensmittelwarnung.de/bvl-lmw-de/detail/lebensmittel/19601', 'pubDate': 'Fri, 10 Feb 2017 12:28:45 +0000', 'imgSrc': 'https://www.lebensmittelwarnung.de/bvl-lmw-de/opensaga/attachment/979f8cd3-969e-4a6c-9a8e-4bdd61586cd4/data.jpg', 'title': 'Sidroga Bio Säuglings- und Kindertee', 'manufacturer': 'Lebensmittel', 'warning': 'Pyrrolizidinalkaloide', 'affectedStates': ['Baden-Württemberg', '...']}]Get open substitute teaching positions in NRW from https://www.schulministerium.nrw.de/BiPo/Verena/angebote
from deutschland import Verena
v = Verena()
data = v.get()
print(data)
# a full example data can be found at deutschland/verena/example.md
# [{ "school_id": "99999", "desc": "Eine Schule\nSchule der Sekundarstufe II\ndes Landkreis Schuling\n9999 Schulingen", "replacement_job_title": "Lehrkraft", "subjects": [ "Fach 1", "Fach 2" ], "comments": "Bemerkung zur Stelle: Testbemerkung", "duration": "01.01.2021 - 01.01.2022", ...} ...]Get data from the Autobahn.
from deutschland import autobahn
from deutschland.autobahn.api import default_api
from pprint import pprint
autobahn_api_instance = default_api.DefaultApi()
try:
# Auflistung aller Autobahnen
api_response = autobahn_api_instance.list_autobahnen()
pprint(api_response)
# Details zu einer Ladestation
station_id = "RUxFQ1RSSUNfQ0hBUkdJTkdfU1RBVElPTl9fMTczMzM=" # str |
api_response = autobahn_api_instance.get_charging_station(station_id)
pprint(api_response)
except autobahn.ApiException as e:
print("Exception when calling DefaultApi->get_charging_station: %s\n" % e)For the detailed documentation of this API see here
For further information see: https://github.com/tcmetzger/pypresseportal
from deutschland.presseportal import PresseportalApi
presseportal = PresseportalApi("YOUR_KEY_HERE")
stories = presseportal.get_stories() For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here
For the detailed documentation of this API see here