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oloviz

online orders (olo) + vizualizations = oloviz

Vizualizing all food orders placed online

In this project I have analyzed all the food orders I have placed in the last 9 months using using foodpanda 🐼, Domino's 🍕, UberEats 🚗 or Deliveroo 😋

I have written a blog post for the detailed analysis which can be found here.

You can also take a look at the Tableau Workbook for this project that contains all the visualizations.

Scraping the Data

  • get_foodpanda_olo.py - Script for scraping foodpanda orders
  • get_deliveroo_olo.py - Script for scraping deliveroo orders
  • merge_all_olo.py - Script for combining orders from foodpanda, deliveroo, ubereats and domino's

Dependencies

Working

  • Go to the URL of order history for website you are scraping data.

Eg. https://www.foodpanda.sg/orders

  • Then, open the Network's Tab in Developer Console

  • Copy the request for the web page as CURL command

  • Use this little tool to get the python code

  • Use the cookies obtained from above in your code

Note

For storing your cookies -

get_foodpanda_olo.py

In main, there is a list of cookies -

cookies = ['cookies for user 1', 'cookies for user 2']

If there are more than one users (as in my case), store cookies of all those users in a python list (separated by ,) as shown above. If there is only one user just save your cookie in that list.

get_deliveroo_olo.py

For this script, update the below code snippet in the script with your own cookies.

    cookies = {
                    'cookie': 'your cookies here',
    }

  • I did not scrape orders from UberEats and Domino's and rather wrote them in manually, so you won't find script for scraping those websites.

  • I save csv files for orders of all the services that I have used and finally use the merge_all_olo.py to create a consolidated file of orders final_orders.csv that I later import into Tableau for creating vizualizations.

TODO's

  • Accommodate for multiple users in get_deliveroo_olo.py - same as foodpanda script, mantain a list of cookies.
  • Use selenium to scrape domino's orders.
  • Cleanup and make Items Ordered more structured so that it easy to anayze that data field.
  • Use a food database API to gather nutrition value of each meal and items.

License

MIT © Chaitanya Gupta