sneakers
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App that scrapes the Footlocker website to construct URLs for upcoming sneaker releases and adds the shoe to your cart if it is available. Uses Python and Selenium Webdriver. *Chrome and Chromedriver must be installed and Chromedriver must be on main path
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Mar 20, 2017 - Python
Class Repo for CS6650: Building Scalable Distributed Systems
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Dec 9, 2017 - Java
Using Selenium, Neha scraped data about 35 top selling sneakers of Nike and Adidas from stockx.com. She used this data to draw insights about sneaker resales.
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Feb 20, 2018 - Python
My Chrome extensions to cop kicks on Nike.com
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Mar 26, 2018 - JavaScript
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Apr 3, 2018 - JavaScript
Monitors off---white.com for new product releases and restocks
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Jan 26, 2019 - Python
TradeLux Website Implementation - LM2
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May 26, 2019 - HTML
Sneaker price analysis and search recommendation
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Sep 5, 2019 - Jupyter Notebook
Autocheckout for https://store.sacai.jp/
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Nov 19, 2019 - Python
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