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Pizzanalysis

Insights from scraped menus

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We scraped Just Eat

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Why?

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I needed a project for a .pizza domain

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How?

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POST /android.php?

var0=effb75066e9800f8960cce6a4c13f947&

var1=getrestaurants&

…

var4=55.6760968&

var5=12.5683371

…

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var0 = MD5(SECRET+LAT+LNG+...)

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SECRET=4ndr01d

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272,498 products

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name

description

price

category

restaurant_id

Spice pizza [Alm.]

Med kebab, salat og creme fraiche dressing

83.00

Pizzaer

ON33N5PN

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Let’s explore the data!

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“with kebab, salad and creme fraiche dressing“

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[

“kebab”,

“salad”, “creme_fraiche_dressing”]

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pizza2vec

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“Ingredients used together are closer together in space”

pineapple

pesto

parmesan

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What is the closest ingredient to pineapple?

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peas

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Which ingredients are most similar to pesto?

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mascarpone, mozzarella, olive oil

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mascarpone, mozzarella, olive oil

(fancy pizzas)

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Ingredient clusters

  • Salad pizzas
  • Pepperoni pizzas
  • Italian pizzas

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What value does an ingredient add?

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“Lets predict prices using ingredients”

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Margarita index

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Margerita index

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Margharita index

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Margherita index

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Margh?[ae]rita index

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Margherita index

  • Law of small numbers (small municipalities have the min and max)
  • Slices are cheap in big cities. Whole pizzas aren’t necessarily.

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Further research

  • What is the opposite of a pineapple pizza?
  • Make the margherita index an interactive map
  • Track inflation
  • Find hyper-local purchasing power
  • Predict the stock market

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Magenta special:

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Hvad tror I en stavefejl koster?

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Hvor meget billigere er en

“Pizza med killing”

end en

“Pizza med kylling”?

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Ca. 2 kr. pr. stavefejl

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github.com/volesen/just-scrape