| Image |  |
| EAN-13 | 0025192162602  |
| UPC-A | 025192162602  |
| Product Name | Great Outdoors / Uncle Buck Double Feature |
| Language | English |
| Category | Electronics / Photography: A/V Media: Movie / TV |
| Amazon.com |  Buy on Amazon ~ B008R65XKQ |
| SKU | D21323 |
| Model | 25631065 |
| Price New | 5.83 US Dollars (curriencies) |
| Price Used | 4.97 US Dollars (curriencies) |
| Rating | PG - Parental Guidance Suggested |
| IMDb | Not on IMDb |
| Run Time | 191 minutes |
| Aspect Ratio | 1.85:1 |
| Cast | Annette Bening, Dan Aykroyd, Jean Louisa Kelly, John Candy, Macaulay Culkin |
| Genre | GIFT SET |
| Run Time | 191 minutes |
| Width | 5.25 inches (convert) |
| Height | 0.5 inches (convert) |
| Length | 7.5 inches (convert) |
| Weight | 15 hundredths pounds (convert) |
| Binding | DVD |
| Format | Multiple Formats, Color, NTSC, Widescreen |
| Published | 10/09/2012 |
| Run Time | 191 minutes |
| Features | Shrink-wrapped |
| Long Description | The Great Outdoors: When an unannounced, uninvited and unwelcome family of fun-loving misfits converge upon a lakeside resort to join their relatives for a summer of relaxation, the result is anything but restful in this raucous comedy starring Dan Aykroyd and John Candy. It's a vacationer's worst nightmare, as wheeler-dealer Aykroyd, his sexually repressed wife and eerie twin daughters "join" the easygoing Candy and his straight-laced clan for a season of "fun" in the sun. Unfortunately, the only thing these two in-laws have in common is their intense dislike for each other. Soon, it's brother-in-law against brother-in-law in an uproarious and hilarious fight to the finish to see which one really knows how to enjoy The Great Outdoors. Uncle Buck: John Candy stars in Uncle Buck, the outrageous comedy written and directed by John Hughes (The Breakfast Club). As an idle, good-natured bachelor, Uncle Buck is the last person you would think of to watch the kids. However, during a family crisis, he is suddenly left in charge of his nephew and nieces. Unaccustomed to suburban life, fun-loving Uncle Buck soon charms his younger relatives Miles and Maizy with his hefty cooking and his new way of doing the laundry. His carefree style does not impress everyone though - especially his rebellious teenage niece, Tia, and his impatient girlfriend, Chanice. With a little bit of luck and a lot of love, Uncle Buck manages to surprise everyone in this heartwarming family comedy. |
| Similar Items | 0032429256782: Ferris Bueller's Day Off 0032429150271: Kingpin 0027616656629: Overboard 0025195006309: Major Payne / Sgt. Bilko 0025193295620: Tom Hanks Comedy Favorites Collection 0024543020172: Big 0014381684520: Armed and Dangerous 0013132434490: Only The Lonely 0012569829398: Comedy Double Feature: National Lampoon's Vacation / National Lampoon's European Vacation 0012569767553: Spies Like Us View 45 more similar items |
| Created | 05-02-2014 4:24:54pm |
| Modified | 06-06-2019 1:53:59am |
| MD5 | 54e09dd324105b621b2cfc7ba9c52c3f |
| SHA256 | 0154d328db1513a1905aa309fdaa681b00536f3408f614ca882f714684e3052f |
| Search Google | by EAN or by Title |
| Query Time | 0.0299320 |
Article of interest
This feature started with version 3.3 of the API and it allows you to update many fields of a product in one call. Prior to this, each attribute for a product was updated in a separate call, causing the process to be a bit slow.
It is important to note that bulk updates only work with JSON formatted data. Because of this, you can leave the mode=json out of your call.
You should use a POST call instead of a GET to avoid over running the length limits that can be found when sending long URLs.
Required Parameters
- keycode - your normal API keycode
- update - the first product you intend to update (more info below)
- field - must be set to *bulk*
Optional Parameters
- test - If you are using GET (please don't) this should be the first parm. Set it to test=1 to avoid saving any actual data.
- imageURL - This is case sensitive. This can be any reachable image in jpg, gif, png format. You can use ftp, http, https and even data URLs here. So rather than pushing in a separate call, we will pull it.
- fields - This is the JSON formatted array of fields to be updated. Yes, this is actually optional. But without it, we won't update any field data.
- errorsonly=1 - If you add this to the request, any fields that update without error not be returned. If multiple products are updated, any product with no errors in any field will be completely omitted.
- dupesok=1 - If you add this to your request, fields that try to update with duplicate values will be considered good and will return "ok" instead of the normal "duplicate" return value.
- returnval=1 - If you add this to your request, the value is returned along with the status for each field you update. Normally the value is omitted to save on data packet size. May be useful when debugging.
Each entry in the fields array is made up of keys and data. Some keys are required and some are optional depending on the data type being used. These entries mirror the single field update calls used when updating data one field at a time.
Details of the fields entries
- field - required, the name of the field to be updated
- value - required, the new value for this field
- extra_id - optional, Some fields use 2 fields to store the data. One being a numeric value and the second being a descriptor [such as a ounces, gallons, quarts] This extra value must match the list we keep in our database. You can include the text version of this extra information at the end of the "value" field but it still needs to match what we have. You can also split the value into two fields the way we do passing the number in the "value" field and the descriptor as an index id in this "extra_id" field. For more information, see the "get=extra" in the basic overview for the v3 API.
- reason - used only when you want to delete a field. If you use this, you must set the value field to empty string and give a reason in this field. At least 13 characters are required for this reason.
An example of the JSON to update multiple fields for a single product
The order of each field in the array doesn't matter. We will process them in sequence but sequence makes no difference. So you don't have to sort them or place them in any partcular order.
You can actually update multiple products at the same time. To do this, you still need to pass some basic information for the first product in the required fields (see above). But in the fields JSON, you create an array of products, each with a fields sub-array. The product listed in the update field would be ignored for the most part but must still be valid. So it can be hardcoded when using this method as long as it is a vaild EAN code.
An example of the JSON to update multiple fields for multiple products
It doesn't matter if you are updating a single product or multiple products. When the response is returned, the top level status is always going to be code 200 assuming your required fields passed the test. Then you will see an array of products even if you only passed in one to be updated. Each product entry and each field entry will have a status so you will know if individual updates worked or failed. This includes the imageURL you passed.
An example of the JSON returned after an update call
The return results in each img or status field
- ok - The field or image processed without error
- n/a - No image was sent (not for fields)
- duplicate - The data you sent already exists. (not for images)
- Any other value is an error which may include details but may not.
Try our data update wizard tool to generate sample code.
Examples of how to update images
Here are two examples of updating images. These both use a GET that you can test in your browser as soon as you insert your keycode. No other fields are being updated in these two examples. You would normally want to use POST in your code because there can be issues with very long GET requests losing data off the end. But these examples will work properly as GET or POST.
This first example is updating a single product image in simple mode using only form variables (no JSON)
https://eandata.com/feed/?test=1&v=3&keycode=[YOUR-CODE]&update=0025192251344&field=*bulk*&imageURL=https://schworak.com/image/0025192251344-Jaws.jpg
This next example is also updating a single product image, but because it is using JSON, you could pass multiple products in the outer "fields" array. Notice that each inner product block also has a "fields" list when using JSON.
https://eandata.com/feed/?test=1&v=3&keycode=[YOUR-CODE]&update=0025192251344&field=*bulk*&fields=[{%22ean%22:%220025192251344%22,%22imageURL%22:%22https://schworak.com/image/0025192251344-Jaws.jpg%22,%22fields%22:[]}]