I have a vendor application which provides inventory quantities for products. There are multiple products and multiple colors and sizes to each product. I need to 'grab' this data out of a silverlight web application and save it to a csv file.
You will need to have experience or knowledge in screen scraping a silverlight application, as in using webaii, uispy or other screen scraping techniques
1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done.
2) Deliverables must be in ready-to-run condition, as follows? (depending on the nature? of the deliverables):
a)? For web sites or? other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment.
b) For all others including desktop software or software the buyer intends to distribute: A software? installation package that will install the software in ready-to-run condition on the platform(s) specified in this bid request.
3) All deliverables will be considered "work made for hire" under U.S. Copyright law. Buyer will receive exclusive and complete copyrights to all work purchased. (No GPL, GNU, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site per the coder's Seller Legal Agreement).
The attached file is a screen capture of how the appilcation window looks like. All the data fields visible need to saved in a csv file. The csv file will link the product style, color, size and quantity together in each row. the data format is the same for all products and there are about 30 products with an average of 5 sizes each and from 15-50 colors each. the whole process will be automated end to end. The output will be a exe that will run
**totally unattended** and create the csv file. There should be no errors, as in the data should correlate 100% to what is displayed on screen, and the total run time should not exceed 300 seconds. All data displayed should be saved to the csv file!