EAN-130689229695558   EAN-13 barcode 0689229695558
UPC-A689229695558   UPC-A barcode 689229695558
Product NameDigoo DG-C4 Digital Sensitive White Backlit LCD Thermometer Desk Alarm Clock Dual Alarm With Snooze
Amazon.comA Buy on Amazon ~ B0764JXWPM
Price New17.59 US Dollars    (curriencies)
Width2 inches    (convert)
Height2 inches    (convert)
Length2 inches    (convert)
Weight6.72 ounces    (convert)
FeaturesBrand Digoo, Model DG-C4
Long DescriptionBrand Digoo Model DG-C4 Digital Sensitive White Backlight Desk Alarm Clock Size 132mm x 75mm x 46mm / 5.2" x 3" x 1.81" Color Black Display Temperature (°C/°F) Time & Date Alarm Function & Snooze Function Alarm Mode Dual Alarm Screen Display Sensitive White Backlight Time 12/24hour Selectable Function Light Sensor Time & Date Display Alarm Funtion Indoor Temperature(℃/℉ ) Snooze Function Temperature Indoor Temperature : - 10°C ~ 50°C ( 14°F ~ 122°F) Date Display Year & Month & Date Power By 3 x AAA Batteries Feature : A big, friendly display, clean and simple design, and the sensitive backlight brightness are the hallmark features of this elegant little alarm clock that gives you everything you need in a clock without a lot of confusing extras. -Dual Alarm : Daily alarm (Mon. to Sun.) or working day alarm (Mon. to Fri.) optional. Alarm will last 1 minute if no other operations. -Snooze Function : The maximum of repeated snooze can be 10 times. -Indoor Temperature : The temperature will be automatically updated in each 10 seconds. -Light Sensor : When light sensor is turned on, clock will automatically adjust its back light according to the brightness of surroundings. SNOOZE FUNCTION : When alarm ringing, press “LIGHT/SNOOZE” to make it silent for 5 minutes, and the snooze “Zz” flashing. You can sleep more 5 minutes, during snooze time, press any other key (except “LIGHT/SNOOZE”) will stop snooze function. Package Includes: 1 x Digoo DG-C4 Digital Sensitive White Backlight Thermometer Desk Alarm Clock 1 x Digoo DG-C4 Full English User Manual 1 x Digoo DG-C4 Original Color Gift Packaging
Created11-20-2017 5:33:41am
Modified05-04-2021 3:35:04pm
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Article of interest

This describes how to use version 3.x of the data feed. Version 2.x of the feed is still supported. Version 1.x of the feed is no longer supported in any way.

IMPORTANT: Starting with version 3.2, we have a new property and a new way of dealing with product images. Read about it here.

Accessing the data requires your account to have an active data feed. This switch can be turned on or off on the data feed page. This is also where you will be able to view your KEYCODE which is required to make calls to the feed.

Main changes from version 2.x to 3.x include (but not limited to)...

Calls to the data feed are made via HTTP GET or HTTP POST requests. There are only a few required parameters when making a call.

Most other parameters are optional and they will alter the way data is returned to you and how your request is processed. You can also pass in your own values that you need carried through. Any parameter that the system doesn't recognize will be returned AS-IS in the status block. This can be handy in situations where you are pulling the data in an asyncronus manor and need extra information passed into your callback routine.

When performing a lookup...

When updating data...

When deleting data...

There are some special "get" operations that need no other parameters. You would not use "find" or "update" when using these. Only use the "keycode", "mode" and "get" for these items. These operations are important because many of our elements are data driven and that data changes over time. We normally don't remove attributes or categories but we do often add to the collection.

The returned data can come back in JSON or XML format. In either case the structure of the data is the same. Because it is easier to read, we will be using XML to demonstrate the layout of the result. Here is the data layout. Notice that this is a complex object and some elements have child elements and some elements may be arrays with repeating content.

The easiest way to get the feel of the data is to make several requests using your web browser and ask for the data in XML format. Although JSON is often easier to work with in code, the XML output is often easier for people to read because of the nice markup tags that wrap around each element and the web browser will usually do a nice job of indenting to make it clear which elements are stored within other elements.