How to integrate with the Apple Health SDK: ROOK simplifies access to Apple Health SDK wearable data for health, fitness, and insurance apps.
How it connects
ROOK's SDK delivers body metrics, physical activity and sleep from Apple Health as structured JSON, by webhook and API.
Leverage Apple Health data to personalize user experiences, driving higher engagement and retention.
Our Apple Health integration delivers notifications within minutes after a user completes an event and syncs their app.
Read the Apple Health docs
{ "data_structure": "physical_summary", "user_id": "demo-user-01", "physical_health": { "summary": { "physical_summary": { "metadata": { "sources_of_data_array": ["Apple Health"] }, "distance": { "steps_int": 8432, "active_steps_int": 6120, "walked_distance_meters_float": 6180.0 }, "activity": { "active_seconds_int": 3240 } } } }}{ "data_structure": "sleep_summary", "user_id": "demo-user-01", "sleep_health": { "summary": { "sleep_summary": { "metadata": { "sources_of_data_array": ["Apple Health"] }, "duration": { "sleep_duration_seconds_int": 26400, "deep_sleep_duration_seconds_int": 6300, "rem_sleep_duration_seconds_int": 5400 }, "heart_rate": { "hr_resting_bpm_int": 56 } } } }}{ "data_structure": "body_summary", "user_id": "demo-user-01", "body_health": { "summary": { "body_summary": { "metadata": { "sources_of_data_array": ["Apple Health"] }, "heart_rate": { "hr_avg_bpm_int": 67, "hr_resting_bpm_int": 58 }, "oxygenation": { "saturation_avg_percentage_int": 97 } } } }}Available data
Every field below comes from the Apple Health documentation and arrives in ROOK's standard structure, whatever device the user wears.
physical activity event27 fields
floors_climbed_granular_data_arraysaturation_granular_data_arrayactivity_type_name_stringvo2max_mL_per_min_per_kg_intsteps_granular_data_arrayswimming_num_strokes_floathr_minimum_bpm_inthrv_avg_sdnn_floatswimming_total_distance_meters_floathr_maximum_bpm_intcalories_net_active_kcal_floatactivity_duration_seconds_intswimming_distance_granular_data_arraytraveled_distance_meters_floatwalked_distance_meters_floatsaturation_avg_percentage_intactivity_start_datetime_stringhr_granular_data_arrayfloors_climbed_floatactivity_end_datetime_stringcalories_expenditure_kcal_floattraveled_distance_granular_data_arraysteps_inthr_avg_bpm_intactive_seconds_intcalories_basal_metabolic_rate_kcal_floathr_resting_bpm_intphysical summary24 fields
saturation_granular_data_arrayhrv_sdnn_granular_data_arrayhr_minimum_bpm_intsteps_granular_data_arrayactive_steps_granular_data_arrayswimming_num_strokes_floathrv_avg_sdnn_floatsteps_intswimming_total_distance_meters_floathr_maximum_bpm_intcalories_net_active_kcal_floatswimming_distance_granular_data_arraytraveled_distance_meters_floatwalked_distance_meters_floatsaturation_avg_percentage_inthr_granular_data_arrayfloors_climbed_floattraveled_distance_granular_data_arrayhr_avg_bpm_intactive_seconds_intfloors_climbed_granular_data_arraycalories_basal_metabolic_rate_kcal_floathr_resting_bpm_intactive_steps_intphysical heart rate event7 fields
hrv_sdnn_granular_data_arrayhr_avg_bpm_inthrv_avg_sdnn_floathr_granular_data_arrayhr_minimum_bpm_inthr_maximum_bpm_inthr_resting_bpm_intphysical steps event1 field
accumulated_steps_intsleep summary24 fields
deep_sleep_duration_seconds_inttime_in_bed_seconds_intsleep_date_stringrem_sleep_duration_seconds_intsaturation_granular_data_arraybreaths_minimum_per_min_intlight_sleep_duration_seconds_inthr_minimum_bpm_intsaturation_maximum_percentage_intsaturation_minimum_percentage_intsleep_start_datetime_stringbreaths_avg_per_min_inthrv_avg_sdnn_floathr_maximum_bpm_inthrv_sdnn_granular_data_arraytime_awake_during_sleep_seconds_intsaturation_avg_percentage_inthr_granular_data_arraybreaths_maximum_per_min_intbreathing_granular_data_arraysleep_end_datetime_stringhr_avg_bpm_intsleep_duration_seconds_inthr_resting_bpm_intbody summary29 fields
saturation_granular_data_arrayvo2max_mL_per_min_per_kg_inthrv_sdnn_granular_data_arraytemperature_avg_objectblood_glucose_avg_mg_per_dL_inthr_minimum_bpm_intsugar_intake_g_floatfiber_intake_g_floatcalories_intake_kcal_floatbmi_floatblood_pressure_granular_data_arrayhrv_avg_sdnn_floathr_maximum_bpm_intsodium_intake_mg_floattemperature_minimum_objectprotein_intake_g_floatweight_kg_floatsaturation_avg_percentage_inthr_granular_data_arraycarbohydrates_intake_g_floatblood_pressure_avg_objectcholesterol_intake_mg_floatblood_glucose_granular_data_arraytemperature_granular_data_arrayheight_cm_intfat_intake_g_floathr_avg_bpm_inttemperature_maximum_objecthr_resting_bpm_intbody blood glucose event3 fields
blood_glucose_granular_data_arrayblood_glucose_avg_mg_per_dL_intdevice_source_data_arraybody blood pressure event3 fields
blood_pressure_granular_data_arrayblood_pressure_avg_objectdevice_source_data_arraybody metrics event4 fields
bmi_floatweight_kg_floatwaist_circumference_cm_intheight_cm_intbody heart rate event7 fields
hrv_sdnn_granular_data_arrayhr_avg_bpm_inthrv_avg_sdnn_floathr_granular_data_arrayhr_minimum_bpm_inthr_maximum_bpm_inthr_resting_bpm_intbody oxygenation event4 fields
vo2max_mL_per_min_per_kg_intsaturation_granular_data_arraysaturation_avg_percentage_intdevice_source_data_arraybody temperature event5 fields
temperature_avg_objecttemperature_maximum_objecttemperature_granular_data_arraytemperature_minimum_objectdevice_source_data_arraybody ecg event7 fields
start_datetime_stringend_datetime_stringduration_ms_floathr_avg_bpm_intsampling_frequency_hz_intecg_granular_data_arraydevice_source_data_arrayGet started
Use cases
From seamless wearable integrations to advanced health insights, ROOK empowers you to build personalized wellness apps, research platforms, fitness dashboards, chronic care solutions and many more great use cases.
Apple Health data
Apple Health syncs workout metrics to enable personalized plans and track performance effectively.
Explore fitness use casesApple Health data
Apple's heart rate and sleep data enhance apps designed to manage hypertension and sleep apnea, improving health monitoring and overall management.
Explore healthcare use casesApple Health data
Apps use Apple Health nutrition data to offer personalized dietary recommendations and track users’ nutritional habits.
More data sources
FAQ
What teams ask before they connect Apple Health through ROOK.
ROOK extracts 145 Apple Health fields covering physical activity, sleep and body and vital signs data, grouped into summaries and events. The data each user shares depends on the permissions they grant when they connect Apple Health.
Our Apple Health integration delivers notifications within minutes after a user completes an event and syncs their app.
No. ROOK handles the Apple Health connection, so you only enable Apple Health as a data source in the ROOK portal.
Through ROOK's mobile SDKs, because Apple Health keeps its data on the phone. ROOK App offers the same connection without building a mobile app.
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Build on better health data
Connect the sources your users rely on, standardize what comes back, and build workflows that respond to change.
