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Python client for Garmin Connect API

Project description

ha-garmin

Python client for Garmin Connect API, designed for Home Assistant integration.

Features

  • Native Garmin Connect API integration
  • Robust authentication with multiple login strategies and automatic fallbacks
  • MFA support with automatic endpoint fallback
  • Token persistence - save and restore sessions to avoid re-login
  • Automatic token refresh - proactively refreshes before expiry
  • Retry with backoff for rate limits (429) and server errors (5xx)
  • Midnight fallback - automatically uses yesterday's data when today isn't ready yet
  • Coordinator-based fetch - optimized data fetching for Home Assistant multi-coordinator pattern
  • Data transformations - automatic unit conversions (seconds→minutes, grams→kg)

Installation

pip install ha-garmin

Optional: install with improved browser UA generation:

pip install ha-garmin[ua]

Usage

Standalone script

Authentication is synchronous; data fetches run in a thread pool and are awaited.

import asyncio
from datetime import date
from ha_garmin import GarminAuth, GarminClient, GarminMFARequired

# Auth is synchronous
auth = GarminAuth()

if not auth.load_session(".garmin_tokens.json"):
    try:
        auth.login("email@example.com", "password")
    except GarminMFARequired:
        mfa_code = input("Enter MFA code: ")
        auth.complete_mfa(mfa_code)
    auth.save_session(".garmin_tokens.json")

client = GarminClient(auth)


async def fetch_all():
    today = date.today()
    core_data     = await client.fetch_core_data(today)      # Steps, HR, sleep, stress
    body_data     = await client.fetch_body_data(today)      # Weight, body composition, fitness age
    activity_data = await client.fetch_activity_data(today)  # Activities, workouts
    training_data = await client.fetch_training_data(today)  # HRV, training status
    goals_data    = await client.fetch_goals_data()          # Goals, badges
    gear_data     = await client.fetch_gear_data()           # Gear, device alarms


asyncio.run(fetch_all())

Home Assistant integration

Set up auth during async_setup_entry and pass the client to your coordinators.

from datetime import date, timedelta
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator
from ha_garmin import GarminAuth, GarminClient

async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
    auth = GarminAuth()

    token_path = hass.config.path(".storage/garmin_tokens.json")
    if not auth.load_session(token_path):
        # Initial login must have been completed via the config flow
        raise ConfigEntryAuthFailed("No valid Garmin session")

    client = GarminClient(auth)

    coordinator = GarminCoreCoordinator(hass, client)
    await coordinator.async_config_entry_first_refresh()

    hass.data.setdefault(DOMAIN, {})[entry.entry_id] = coordinator
    return True


class GarminCoreCoordinator(DataUpdateCoordinator):
    def __init__(self, hass: HomeAssistant, client: GarminClient) -> None:
        super().__init__(hass, logger=_LOGGER, name="Garmin core", update_interval=timedelta(minutes=15))
        self._client = client

    async def _async_update_data(self) -> dict:
        return await self._client.fetch_core_data(date.today())

Coordinator Fetch Methods

Optimized methods that group related API calls for Home Assistant coordinators:

Method API Calls Data Returned
fetch_core_data() 3 Steps, distance, calories, HR, stress, sleep, body battery, SPO2
fetch_body_data() 3 Weight, BMI, body fat, hydration, fitness age
fetch_activity_data() 4+ Activities, workouts, HR zones, polylines
fetch_training_data() 7 Training readiness, status, HRV, lactate, endurance/hill scores
fetch_goals_data() 4 Goals (active/future/history), badges, user level
fetch_gear_data() 4+ Gear items, stats, device alarms
fetch_blood_pressure_data() 1 Blood pressure measurements
fetch_menstrual_data() 2 Menstrual cycle data

Write / Action Methods

Methods for logging data back to Garmin Connect, suitable for Home Assistant services:

Method Description
add_nutrition_log(calories, carbs, protein, fat, name) Log a Quick Add nutrition entry (requires Connect+)
set_hydration(value_in_ml) Log hydration intake
set_blood_pressure(systolic, diastolic, pulse) Log a blood pressure measurement
add_body_composition(weight, percent_fat, ...) Log weight / body composition via FIT upload
create_activity(name, type, start, duration_min) Create a manual activity
upload_activity(file_path) Upload a FIT / GPX / TCX file
set_active_gear(activity_type, setting, gear_uuid) Set default gear for an activity type
add_gear_to_activity(gear_uuid, activity_id) Associate gear with an activity

Nutrition logging

Requires a Garmin Connect+ subscription and initial setup through the Garmin Connect app (the app creates the meal slots that the API needs).

await client.add_nutrition_log(
    calories=500,
    carbs=60,       # optional, grams
    protein=30,     # optional, grams
    fat=15,         # optional, grams
    name="Lunch",   # optional label
)

The method automatically fetches the correct meal slot ID and time for the day. If no meal slots are configured yet, open the Garmin Connect app and set up your nutrition plan first.

Individual API Methods

Method Description
get_user_profile() User profile info
get_user_summary() Daily summary (steps, HR, stress, body battery)
get_daily_steps() Steps for date range
get_body_composition() Weight, BMI, body fat
get_fitness_age() Fitness age metrics
get_hydration_data() Daily hydration
get_activities_by_date() Activities in date range
get_activity_details() Detailed activity with polyline
get_activity_hr_in_timezones() HR time in zones
get_workouts() Scheduled workouts
get_training_readiness() Training readiness score
get_training_status() Training status
get_morning_training_readiness() Morning readiness
get_endurance_score() Endurance score
get_hill_score() Hill score
get_lactate_threshold() Lactate threshold
get_hrv_data() Heart rate variability
get_goals() User goals by status
get_earned_badges() Earned badges
get_gear() User gear items
get_gear_stats() Gear statistics
get_gear_defaults() Default gear settings
get_devices() Connected devices
get_device_alarms() Device alarms
get_device_settings() Device settings
get_blood_pressure() Blood pressure data
get_menstrual_data() Menstrual cycle data
get_menstrual_calendar() Menstrual calendar

Data Transformations

The library automatically adds computed fields for convenience:

  • Time conversions: sleepTimeSecondssleepTimeMinutes
  • Activity time: highlyActiveSecondshighlyActiveMinutes
  • Weight: weight (grams) → weightKg
  • Stress: stressQualifierstressQualifierText (capitalized)
  • Nested flattening: HRV status, training readiness, scores

License

MIT

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