Analyzing Jollibee Restaurant Data

I am hungry for a chickenjoy

Image unfortunately made by me

Inside a Jollibee, you’re hit with the irresistible smell of greasy chicken, mango peach pies hot from the oven, piles of spaghetti dappled in sweet tomato sauce and packed into thin cardboard boxes. Jollibee is the most popular fast-food chain in the Philippines for a reason.

Jollibee has over 1300 locations worldwide in Asia, Europe, and North America, and they have shown no signs of slowing down. Jollibee is expanding faster than my waistline after eating an entire 8-piece Chickenjoy.

But instead of just eating Yumburgers and Chickenjoys today, we’re going to analyze them. I gathered data on different Jollibee restaurants from their store locator, and today we’re going to see what we can learn from the data.

Scraping Jollibee Data From the Store Locator

I got the data from the Jollibee store locator (note: this is only for locations in the Philippines). There are something like 1,150 Jollibees in PH, so we can’t write down this data by hand. We need to automate it.

When you search for stores in the locator, your browser makes a request to Jollibee’s server (through an API). To do this, your browser and the Jollibee server trade files back and forth to each other. If you…