• Start with NYT Today's paper web page: http://www.nytimes.com/pages/todayspaper/index.html
• Code file: frontpage.py
• Extract data from the "Front Page" news articles including:
  • Title
  • Author(s)
  • Date
  • Summary
  • Thumbnail
• What data structure will you save this extracted data in? Class / Dictionary / List / List of Dictionaries?
• For each Front Page article
  • Get (and cache) that article's web page
  • Extract its related coverage of articles, and
  • Save its title, thumbnail, date, and link (What data structure will you use? Where will you save it?)

Carefully read through the README.md and the # comments in the code file, and break down what you have to do into milestones, issues and distinct tasks / sub-tasks

• Part 0: _________ [200 points]
  • Get web page: _________
  • Extract _______ attribute for all images in that page
    • Print the _________ for these images
    • If missing, print _________________
    • Confirm output by comparing it with: _______
    • Note: no tests for this part
• Part 1: _________ [100 points]
  • Get from cache: _________
    • How?
  • Create _________ instance from the html
  • Extract links to pages of states _________, _________, _________
    • How will you go about doing this?
  • Get from cache: _________, and repeat it for _________
    • How will you go about doing this?
  • NOTE: Something to think about: You will be using what you just extracted and what you will write in Part 2, in Part 3.
• Part 2: _________ [400 points]
  • class _________
    • What does it represent?
    • Constructor
      • What are the arguments?
      • What variables do you need to initialize?
      • How will you get the value to initialize each of them?
      • self._______ / To extract, use ______._________("______")
  • Method: _________
    • What are the arguments?
    • What should it return?
    • How will you approach this?
  • Method: _________
    • What are the arguments?
    • What should it return?
    • How will you approach this?
  • Method: _________
    • What are the arguments?
    • What should it return?
    • How will you approach this?
  • Test the class using _____________
• Part 3: _________ [200 points]
  • Create: _________
    • How will you approach this?
  • Write: _________
    • Content: _________
    • Handle _________
    • How will you approach this?
• Submission [100 points]
  • Files to be included
    • All .html files used for caching
    • _________
    • _________
    • _________
    • More?

Let's try using BeautifulSoup on https://www.lingscars.com/ (please use caching! ProTip: Have a function that does this, which you can reuse in your assignment.)

• Extract the Menu
• Extract the names of all cars sold at Lings Cars, grouped by Brand Name (What data structure will you use?)
• Extract deals featured on home page
  • Car's picture
  • Name
  • Description
  • Type of Engine, Gearbox, Paint
  • Rent per month
  • Extract the number of visitors now and number of visitors today
• Having fun? Extract more information that you think is interesting.