Stay organized with collections
Save and categorize content based on your preferences.
This section demonstrates reading the aggregate daily nutrition from a specific
data source. The response contains a list of buckets (one per 24-hour period),
each with a single dataset and datapoint that contains a field for all recorded
nutrition data types. If no nutrition values exist for a particular time
period, there is no dataset. If more than one meal_type is recorded, the
value will be set to UNKNOWN.
Your app can read the aggregate daily nutrition data for a user by
making a POST request and querying the specified data source. You must
make a separate query for each data source.
If the data source is created successfully, the response is a 200 OK
status code. The response body contains a JSON representation of the data
source, including a datasource.dataStreamId property that you can use as
the data source ID for subsequent requests.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[[["\u003cp\u003eThis documentation explains how to access daily aggregate nutrition data from a specific data source.\u003c/p\u003e\n"],["\u003cp\u003eThe data is organized in 24-hour buckets, with each bucket containing a single dataset and datapoint for all recorded nutrition data types.\u003c/p\u003e\n"],["\u003cp\u003eAndroid and REST API examples are provided for retrieving this data.\u003c/p\u003e\n"],["\u003cp\u003eIf multiple meal types are logged, the \u003ccode\u003emeal_type\u003c/code\u003e field will be set to \u003ccode\u003eUNKNOWN\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eMissing nutrition values for a given time period result in an empty dataset for that period.\u003c/p\u003e\n"]]],[],null,["# Read Aggregate Daily Nutrition Data\n\nThis section demonstrates reading the aggregate daily nutrition from a specific\ndata source. The response contains a list of buckets (one per 24-hour period),\neach with a single dataset and datapoint that contains a field for all recorded\nnutrition data types. If no nutrition values exist for a particular time\nperiod, there is no dataset. If more than one `meal_type` is recorded, the\nvalue will be set to `UNKNOWN`. \n\n### Android\n\nYour app can read the aggregate daily nutrition data for a user by creating\na data read request, and specifying the aggregate for the\n['DataType.TYPE_NUTRITION'](/android/reference/com/google/android/gms/fitness/data/DataType#TYPE_NUTRITION) and\n['DataType.AGGREGATE_NUTRITION_SUMMARY'](/android/reference/com/google/android/gms/fitness/data/DataType#AGGREGATE_NUTRITION_SUMMARY) data types, as shown in the\nfollowing example: \n\n val readRequest = DataReadRequest.Builder()\n .aggregate(DataType.AGGREGATE_NUTRITION_SUMMARY)\n .bucketByTime(1, TimeUnit.DAYS)\n .setTimeRange(startTime, endTime, TimeUnit.MILLISECONDS)\n .build()\n\n### REST\n\nYour app can read the aggregate daily nutrition data for a user by\nmaking a `POST` request and querying the specified data source. You must\nmake a separate query for each data source.\n\n**HTTP method** \n\n POST\n\n**Request URL** \n\n https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate\n\n**Request body** \n\n {\n \"aggregateBy\": [{\n \"dataSourceId\":\n \"raw:com.google.nutrition:407408718192:MyDataSource\"\n }],\n \"bucketByTime\": { \"durationMillis\": 86400000 },\n \"startTimeMillis\": 1471244400000,\n \"endTimeMillis\": 1471259040000\n }\n\n**Response**\n\nIf the data source is created successfully, the response is a `200 OK`\nstatus code. The response body contains a JSON representation of the data\nsource, including a `datasource.dataStreamId` property that you can use as\nthe data source ID for subsequent requests.\n\n**CURL command** \n\n $ curl --header \"Authorization: Bearer ya29.yourtokenvalue --request POST \\\n --header \"Content-Type: application/json;encoding=utf-8\" --data @aggregate.json \\\n https://www.googleapis.com/fitness/v1/users/me/dataset:aggregate"]]
