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

Name	Type	Description
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

200 Success.

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

400 Could not find a device token or No device token was providedorTypo in parameter or it's valueorWrong pin format

500 Wrong constant is used in parameter (specified in the end of the string) or There is no data for specified pin or datastream

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
}