Objective: Web scraping with Python
Grading Procedures: All submission will be checked with a plagiarism software. Submission having more than 70% similarity to any other student submission and/or internet resources will share total points the assignment. For example, 4 submissions having more than 70% similarity will be graded as 100/4 = 25pts, assuming that the program is worth of 100 pts.
Description: The university maintains course schedules at http://appsprod.tamuc.edu/Schedule/Schedule.aspx for different semesters (spring, fall, winter, etc ). You will develop a Python program to dynamically complete certain tasks, such as list, find, sort, and save, in course listings from schedule portal. You will mainly use request and BeautifulSoup libraries (or similar, see exercise 12.1). The program will operate at different level: Semester and Department. Your program will be a menu based application. Assume that you project file is myproject.py. Once you run, it will show last 5 semester (fall, spring, summer only, (not winter, may mini))
> python myproject.py
Choose a semester: 1) Sprint 2021
2)Fall 2020 3)Summer II 4)Summer I 5)Spring 2020
Selection: 2
Here, your program will parse the data from website and show only last (most recent) 5 semesters. User will make selection, then, you will show departments for the selected semester (Fall 2020). Note that selected semester is visible before a > sign.
Fall 2020> Select a department:
1) Undeclared
2) Accounting and Finance
3) Art
4) Ag Science & Natural Resources
30) Social Work
31) Theatre
Q)Go back
Selection: 3
Fall 2020> Art > Select an option:
1) List courses by instruction name
2) List courses by capacity
3) List courses by enrollment size
4) List courses by course prefix
5) Save courses in a csv file
6) Search course by instruction name
7) Search courses by course prefix
Q)Go back
Selection: ??
Here, your program will parse the data from website and show all available department then list of tasks. Q (go back) option will take user to previous level.
Course listing output should show the following fields. For instance for course listing for Fall 2020> Computer Science & Info Sys> List the course by prefix should show