Image
EAN-130032429257086   EAN-13 barcode 0032429257086
UPC-A032429257086   UPC-A barcode 032429257086
Product NameGrease
CategoryElectronics / Photography: A/V Media: Movie / TV
Amazon.comA Buy on Amazon ~ B01MDLUTAH
Model43381931
Price New4.17 US Dollars    (curriencies)
Price Used4.15 US Dollars    (curriencies)
RatingPG-13 - Parents Strongly Cautioned
IMDbIMDb Link
TrailerWatch The Trailer
Run Time110 minutes
CastDidi Conn, Eve Arden, Jeff Conaway, John Travolta, Stockard Channing
DirectorRandal Kleiser
GenreComedies
Width5.5 inches    (convert)
Height0.5 inches    (convert)
Length7.5 inches    (convert)
Weight16 hundredths pounds    (convert)
BindingDVD
Release Year1978
FormatColor, Widescreen, NTSC
FeaturesShrink-wrapped
Long DescriptionA musical about teens in love in the 50's! It's California 1959 and greaser Danny Zuko and Australian Sandy Olsson are in love. They spend time at the beach, and when they go back to school, what neither of them knows is that they both now attend Rydell High.
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Created11-03-2017 12:00:14am
Modified05-17-2019 5:31:29pm
MD52f2ecfb0e6a6edfae37a85c061704f85
SHA256e26ddacbfe671017497194cf98fe14af4a11ac486e378cd6e3a5276e07d85e76
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Query Time0.0188851

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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