Image
EAN-130013710027687   EAN-13 barcode 0013710027687
UPC-A013710027687   UPC-A barcode 013710027687
Product NameVintage Style Throw Cotton&jute Couch/Single Sofa Cover, 75"x79",Sc-25
LanguageEnglish
CategoryCleaning Supplies / Equipment
Amazon.comA Buy on Amazon ~ B0065V1A5C
SKUJ-2-0055-SINGLE CHAIR
Features
  • PLEASE READ THIS CAREFULLY BEFORE PLACING ORDER. If you have any question about the details, please email us.
  • It is rectangle shape flat cover in Size 75"(width)x79"(length), NOT THE SIZE FOR THE SOFA.
  • Please refer to the last picture, measure your sofa first and make sure it will be suitable for your sofa.
  • The throw covers are not designed to cover the entire back of your sofa (half part)
  • First quality, Material: Cotton&Jute, Machine wash and dry, Easy to put on--easily drapes over your sofa (tuck into cushion)
Long DescriptionVintage Sofa cover protects and extends the life of furniture as well as instantly make old furniture look new. Conceal everyday wear and tear with a mixture of lovely solid color cotton&jute faric and colorful designs. Machine washable.
Created05-22-2010
Modified03-15-2017 6:48:04pm
MD5ec9059a77bb9c65e6d47a17042f93443
SHA25615ac7f2da647de5021fe2a4f2191dcda509d6ad3d201741d48a733437b2fc73f
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Query Time0.0016360

The attributes are somewhat like fields. They are the individual data items that describe each product. Each product entry will have several attributes. There is no telling which attributes will be attached to each product but they all have the same basic format.

Here is an example of one attribute. When accessing the data feed API, you can get your data in XML or JSON format. Here it is displayed in XML format to make it a little easier to read through.

<attribute>
   <field_name>product</field_name>
   <group_name>Over View</group_name>
   <title>Product Name</title>
   <data_type>varchar</data_type>
   <data_type_description>short text</data_type_description>
   <has_linked_text>0</has_linked_text>
   <has_linked_extra>0</has_linked_extra>
</attribute>

In the above example you will find these elements:

Hopefully, this helps you understand the data attributes you find in the data feed API.

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