Image | ![]() |
EAN-13 | 0738329207403 ![]() |
UPC-A | 738329207403 ![]() |
Product Name | Barton Fink |
Category | Electronics / Photography: A/V Media: Movie / TV |
Amazon.com | ![]() |
Price New | 17.21 US Dollars (curriencies) |
Price Used | 17.20 US Dollars (curriencies) |
Rating | R - Restricted |
IMDb | ![]() |
Trailer | Watch The Trailer |
Run Time | 116 minutes |
Cast | John Goodman, John Turturro, Judy Davis, Michael Lerner, Tony Shalhoub |
Director | Joel Coen, Ethan Coen |
Genre | COMEDY,DRAMA,THRILLER |
Run Time | 116 minutes |
Width | 5.3 inches (convert) |
Height | 0.35 inches (convert) |
Length | 6.75 inches (convert) |
Weight | 20 hundredths pounds (convert) |
Binding | Blu-ray |
Release Year | 1991 |
Format | Anamorphic, NTSC, Subtitled, Widescreen |
Run Time | 116 minutes |
Long Description | John Turturro (O Brother, Where Art Thou?) shines in the lead role as Barton Fink, the Coen Brothers' (Fargo, No Country for Old Men) hilarious satire set in 1940s Hollywood. Barton Fink is a Broadway playwright who reluctantly relocates to Hollywood to write screenplays. Ordered to write a low budget screenplay about wrestling, Fink manages to type one sentence and then... nothing! Although his chatty insurance salesman neighbor Charlie (John Goodman, 10 Cloverfield Lane) helps out by teaching Barton about wrestling, the clock ticks, the temperature rises, and Barton's life spins more and more out of control. The top-notch cast includes Judy Davis (Naked Lunch), Michael Lerner (Busting), John Mahoney (TV s Frasier), Tony Shalhoub (TV s Monk), Jon Polito (Miller s Crossing) and Steve Buscemi (Reservoir Dogs), with a hauntingly beautiful score by Carter Burwell (Blood Simple) and gorgeous cinematography by Roger Deakins (The Big Lebowski). Barton Fink received three 1991 Oscar nominations - (Best Supporting Actor - Lerner, Art Direction/Set Direction and Costume Design), and also won Best Actor (Turturro) and Best Director (Joel Coen), as well as the coveted Palme d'Or at Cannes. Special Features: - Interview with star John Turturro - Interview with actor Michael Lerner - Interview with producer Ben Barenholtz - Interview with composer Carter Burwell - Interview with sound editor Skip Lievsay - 8 Deleted Scenes - Original Theatrical Trailer |
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Created | 11-20-2017 1:20:34am |
Modified | 04-30-2020 4:31:46am |
MD5 | 50abc995c279515aed8629b104981cfd |
SHA256 | e2fafa287400d87257e8cb452e0c32893dce24e8f03e40d4ec6e62ada790535f |
Search Google | by EAN or by Title |
Query Time | 0.0555570 |
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.
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