Image
EAN-130012236044406   EAN-13 barcode 0012236044406
UPC-A012236044406   UPC-A barcode 012236044406
Product NameDirty Dancing
CategoryElectronics / Photography: A/V Media: Movie
Short DescriptionDVD
Amazon.comA Buy on Amazon ~ 0784010218
Price New7.88 US Dollars    (curriencies)
Price Used0.98 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
Run Time92 minutes
Aspect Ratio1.85:1
CastCharles Honi Coles, Jennifer Grey, Max Cantor, Patrick Swayze, Thomas Cannold
GenreSpecial Interests
Run Time92 minutes
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight20 hundredths pounds    (convert)
BindingDvd
FormatClosed-captioned, Color, Dolby, Widescreen, NTSC
Published08/31/1997
Run Time92 minutes
Long DescriptionAs with Grease (1978) and Footloose (1984) before it, Dirty Dancing was a cultural phenomenon that now plays more like camp. That very campiness, though, is part of its biggest charm. And if the dancing in the movie doesn't seem pa
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Created07-01-2006
Modified02-10-2019 9:32:04am
MD5d91a37813ad48e1c87ed4afe8b2ac305
SHA256b7cf0c3ca4c76d4329af6969263682fecf98739da74579cd173cda1f75ecd597
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Query Time0.0183589

Article of interest

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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