Data Mining Project

Requirements: Produce a database program or Excel Spreadsheet Program that fetches Event and Ticket information from the internet and allows the user to add a Markup percentage to the Ticket Price, do lookups on Events that display the available tickets and the pricing with a markup. Specifically the user should be able to filll the program with a list of URL’s then hit an Update Button which populates the database from the list and the data from each url. There should also be a field in the TICKETS table that is entered by the user as a percentage markup. There should be a look up facility so that the user can find by any field in the ARTIST Table that produces a report (worksheet) showinf results from the search. (see spreadsheet attached) Customer populates records by entering URL/s into a field, the program is ran and goes to each URL and extracts the following data from the page and enters it into a number of tables Table 1 = ARTIST artist_event_id (assigned by system) artist_event_name (retreived from web page) artist_venue (retreived from web page) artist_location (retreived from web page) artist_event_date (ideally entered as a database date-time value) Example of code to extract from: Sample URL= [login to view URL] WWE Presents: Raw World Tour Madison Square Garden New York, NY Sun, Dec 26, 2010 07:00 PM Table 2 = Tickets artist_event_id (assigned by system as above) tickets_id (assigned by system) Section (retreived from web page) Row (retreived from web page) Seats (retreived from web page) Qty (retreived from web page) Price/Ticket (retreived from web page) Markup (variable assigned by the user) Example of code to extract from: Sample URL= [login to view URL] Section Row Seats Qty Price/Ticket Here are some other sample url’s [login to view URL] [login to view URL] [login to view URL] [login to view URL] It would be nice to include some kind of method to change the FETCH functions incase the existing format of the web page URL's changes. An additional table of Artist_event_names will be joined to the program, this table will be populated by the Owner, When adding new URL's to be scraped the Owner will choose the event Artist_event_name from a drop down list, Upon Scraping the program will check for any instance of Artist_event_name in the relevant field eg The owner may have entered 'Bon Jovi' but the web page says 'Bon Jovie 2011 World Tour' the program should enter 'Bon Jovi' into the local database. If no Artist_event_name has been entered by the owner or if the text is not found within the field then the program should enter the exact text that appears on the web page for Artist_event_name . An Additional field to be entered by the user TIcket ID Start - will be the starting number for the Ticket ID field which will increment automatically by 1 Before Scraping the program should check for and delete any existing entries where the Event Date/Time has passed and delete those entries so that those url's do not get scraped again. Prior to exporting the information to a spreadsheet this rule should be applied If there is more than one record containing the exact same artist_event_name, Section and Row AND the difference in price is LESS THAN $30 AND the seats are consecutive THEN the records should be combined into one record using the SUM of the QTY's and using the Greatest Price. There should be the following items on the main menu of the program ENTER Artist_event_name DATA - This