Product Image Parsing Challenge

This is a quick challenge on parsing product images out of a website. For this challenge we will be using the Urban Outfitters site. The challenge is writing a function that, given a category page identifier, finds all the product images for that category.

For example 'MENS_SHOES' could be one category identifier and that would yield to a URL http://www.urbanoutfitters.com/urban/catalog/category.jsp?id=MENS_SHOES. The function should just take this category identifier, create the appropriate url to get the product listings, get HTML from the URL, parse the HTML and return a list of all product images for that category.

Please code this in python and use the libraries highlighed in the requirements section.

Requirements:

• Python
• Pip (to install the libraries in requirements.txt)
• requests
• beautifulsoup4

Deliverable:

• Once the challenge is complete, i.e. you write a python module with the function, please submit a pull request to this repo.