Introduction

🎯 Goal of the project

1. Scrape data about stores where PPG Paints are sold from the PPG paints website
2. Extrapolate coordinates of the stores based on the store addresses
3. Create simple geospatial visualizations of the data to draw some conclusions

Quick Links To:

🛠️ Tools used:

• Python 3
• Jupyter Notebook (as code editor)
• Requests (library for accessing the web links)
• BeautifulSoup (library used for reading html)
• Pandas (for dataframes)
• Nominatim (library used for extracting coordinates based on a given address)

Researching The Website

The link to the website is: https://www.ppgpaints.com/

As I navigated to the “Store Locator” on the website I noticed that the locater was only showing the nearest 10 stores to where I was located.

However after navigating to the URL of a particular store we notice that the url format is the following:

https://www.ppgpaints.com/store-locator/us/{state}/{city}/{store-name}

Therefore we can navigate to the /us webpage and most likely find links to all of the available states - which was true.

Within every state there was a similar page with links to every city within the state.