brunata-nutzerportal-api

Python client for fetching consumption data from the Brunata Munich user portal (nutzerportal.brunata-muenchen.de). Intended as a basis for a Home Assistant integration.

Status

Early/experimental project. The Munich instance uses SAP OData (UI5 frontend).

• Login: NP_REG_LOGON_SRV_01 (CredentialSet via $batch)
• Data: NP_APPLAUNCHER_SRV, NP_DASHBOARD_SRV (e.g. monthly values)

Disclaimer

This is an unofficial, independent open-source project and is not affiliated with BRUNATA-METRONA or BRUdirekt.

Use of this client may be subject to the portal's terms of service and applicable law. You are responsible for complying with them.

Use only with your own account / proper authorization, do not share credentials, and avoid aggressive polling.

Trademarks and product names (e.g. BRUdirekt, BRUNATA-METRONA) belong to their respective owners.

Installation (Poetry)

poetry install

Configuration

Create a .env in the project root (it will not be committed due to .gitignore):

BRUNATA_USERNAME=you@example.com
BRUNATA_PASSWORD=your-password
BRUNATA_BASE_URL=https://nutzerportal.brunata-muenchen.de
BRUNATA_SAP_CLIENT=201

CLI

Test login:

poetry run brunata login

Dump account + available periods/cost types (warning: may contain personal data):

poetry run brunata dump-pages --output-dir .brunata-dump

Fetch consumption data:

poetry run brunata readings --kind heating
poetry run brunata readings --kind hot_water

Fetch consumption data for all cost types (e.g. HZ01, HZ02, ... / WW01, WW02, ...):

poetry run brunata readings-all --kind heating
poetry run brunata readings-all --kind hot_water

Fetch meter readings (cumulative index):

poetry run brunata meter

Fetch "current consumption" (as shown in the dashboard):

poetry run brunata current --kind heating
poetry run brunata current --kind hot_water

Fetch building/national consumption comparison (kWh/m²):

poetry run brunata comparison

Fetch forecast and year-over-year comparison:

poetry run brunata forecast

Fetch room-level consumption breakdown:

poetry run brunata rooms

Library usage (Home Assistant)

The client is async and suitable for Home Assistant's DataUpdateCoordinator patterns:

from brunata_api import BrunataClient, ReadingKind

async def fetch():
    async with BrunataClient(
        base_url="https://nutzerportal.brunata-muenchen.de",
        username="...",
        password="...",
        sap_client="201",
    ) as client:
        await client.login()
        heating = await client.get_readings(ReadingKind.heating)
        hot_water = await client.get_readings(ReadingKind.hot_water)
        return heating, hot_water

Key methods:

• BrunataClient.login()
• BrunataClient.get_account()
• BrunataClient.get_periods() – list of dashboard periods (start/end); use to see which year a value belongs to
• BrunataClient.get_supported_cost_types()
• BrunataClient.get_readings(...)
• BrunataClient.get_monthly_consumption(cost_type=..., in_kwh=..., period_index=...)
• BrunataClient.get_monthly_consumptions(kind, in_kwh=..., period_index=...)
• BrunataClient.get_meter_readings(period_index=...) (all HZ.. and WW.., keyed by cost_type)
• BrunataClient.get_current_consumption(kind, period_index=...) (YTD for the selected period)
• BrunataClient.get_consumption_comparison(period_index=...) – building/national average (kWh/m²) per cost type
• BrunataClient.get_consumption_forecast(period_index=...) – forecast, previous year, difference per cost type
• BrunataClient.get_room_consumption(period_index=...) – room-level breakdown per cost type

Periods and yearly reset: The portal exposes data per dashboard period (usually one per calendar year). Cumulative values (meter reading, “current consumption”) are per period and typically reset when a new year starts. Default is period_index=0 (first period, often the current year). Use get_periods() to list periods and period_index to request a specific one (e.g. period_index=1 for the previous year). Integrations (e.g. Home Assistant) can use this to show “2024 total” vs “2025 YTD” or to handle the reset (e.g. new sensor per year or state_class per period).

Development

poetry run ruff check src tests
poetry run pytest

Packaging (optional)

poetry build
poetry publish --build