Image
EAN-13	0025192249648
UPC-A	025192249648
Product Name	Classic Monsters
Category	Electronics / Photography: A/V Media: Movie / TV
Amazon.com	Buy on Amazon ~ B00L8QP082
Price New	65.99 US Dollars    (curriencies)
Price Used	118.71 US Dollars    (curriencies)
Run Time	2,879 minutes
Aspect Ratio	1.33:1
Cast	Bela Lugosi, Boris Karloff, Claude Rains, Jr. Lon Chaney
Genre	Horror
Run Time	2879 minutes
Width	5.5 inches    (convert)
Height	4.5 inches    (convert)
Length	8 inches    (convert)
Weight	235 hundredths pounds    (convert)
Binding	Dvd
Format	Multiple Formats, Box set, Color, NTSC
Published	09/02/2014
Run Time	2,879 minutes
Features	Shrink-wrapped
Long Description	From the era of silent movies through present day, Universal Pictures has been regarded as the home of the monsters. The Universal Classic Monsters: Complete 30-Film Collection showcases all of the original films featuring the most iconic monsters in motion picture history including Dracula, Frankenstein, The Mummy, The Invisible Man, The Bride of Frankenstein, The Wolf Man, Phantom of the Opera and Creature from the Black Lagoon. Starring some of the most legendary actors including Bela Lugosi, Boris Karloff, Lon Chaney Jr., Claude Rains and Elsa Lanchester in the roles that they made famous, these films set the standard for a new horror genre with revolutionary makeup, mood-altering cinematography and groundbreaking special effects. Featuring hours of revealing bonus features, these landmark movies defined the horror genre and are still regarded as some of the most unforgettable characters ever to be filmed.
Similar Items	9780790764344: Mummy 0883929068807: TCM Greatest Classic Film Collection Hammer Horror 0826831070032: Horror Classics- 50 Movie Pack Anniversary Edition 0683904891815: 100 Greatest Terror Classics: Bela Lugosi - Vincent Price - Boris Karloff - Lon Chaney - Barbara Steele - Dr. Jekyll and Mr. Hyde - Hunchback of Notre Dame - Phantom of the Opera - Metropolis - Nosferatu - Night of the Living Dead - Little Shop of Ho 0644827535828: Bud Abbott & Lou Costello Meet the Creature From the Black Lagoon - This is not a full length movie 0085392203420: Mummy 0025192369100: Kolchak The Night Stalker 0025192314018: Abbott and Costello Meet the Monsters Collection 0025192247873: Hammer Horror Series 0025192235450: Abbott & Costello Universal Pictures Collection
Created	09-07-2018 12:00:48am
Modified	03-30-2019 10:47:34am
MD5	d3fa407066d3b0b1c10518877ac927bc
SHA256	64edbb8320c6270d5695a4c8c88f66daea553185cf47489d8f45e75080a19e3e
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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:

• field_name - The unique name used to access this attribute.
• group_name - The name of the data group this field belongs to.
• title - The label we place on the screen when displaying this attribute to users.
• data_type - The database data type we are using to store this attribute.
• data_type_description - More infomation about the data type.
• has_linked_text - Some numeric fields have a text representation. We store the numeric value but if there is linked text, we use a lookup table to display that text instead of the number to the user.
• has_linked_extra - Some numeric fields have an extra text value that goes along with the number. We use a lookup table to display that text in addition to the number.

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