Get Historical Data From Device

How to get historical data from a single device for a specified time range

GET https://{server_address}/external/api/data/get?token={token}&period={PERIOD}&granularityType={TYPE}&sourceType={SOURCE_TYPE}&tzName={tzName}&format={FORMAT}&output=FILE&pin={pin}

Path Parameters

NameTypeDescription

period

string

Is MONTH by default. Other possible options: HOUR, DAY, WEEK, THREE_MONTHS

granularityType

string

Is RAW_DATA by default. ( RAW_DATA is not supported for the THREE_MONTH period). Other possible values: MINUTE, HOURLY, DAILY

sourceType

string

Is AVG by default. Other possible values: MIN, MAX, SUM, COUNT

tzName

string

Is UTC by defult. Please specify timezones accordingly to java.time.ZoneId

format

string

Is TS by default. Other possible values: ISO_US "04/10/19 11:45:41 AM" ISO_SIMPLE "2018-06-07 22:01:20"

sendEvents

string

Is false by default

dataStreamId or pin

string

Are optional parameteres, which are used to get data for the specific pin

output

string

Is FILE by default. Other possible value: JSON

{"link":"https://server_address/device_data_2592_2021-04-13T02-27-11.zip"}

Use case example:

Let's say you live in Sydney, Australia and there is a garage door opener and want to get an exact time you departed today in one file. The accuracy you need is up to 1 minute and it should be in "YYYY-MM-DD HH:MM:SS" format. Your device uses Datastream with ID 20 and virtual pin 6 for open/close commands. Let's say you also need to get the list of all the Events that were recorded during this period.

API call will look like this:

https://blynk.cloud/external/api/data/get?token=HjKjfij84050fege&period=DAY&granularityType=MINUTE&sourceType=AVG&tzName=America/New_York&format=ISO_SIMPLE&sendEvents=true&output=FILE&dataStreamId=20`

JSON Output example:

{
    "meta":
    [
        {
            "name": "data_stream_name",
            "type": "String"
        },
        {
            "name": "ts",
            "type": "UInt32"
        },
        {
            "name": "value",
            "type": "Float64"
        }
    ],

    "data":
    [
        {
            "data_stream_name": "",
            "ts": 2021-05-14 12:25:00,
            "value": 1.6100000000000003
        }
    ],

    "rows": 1,

    "rows_before_limit_at_least": 1
}

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