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

License

iCHAIT/oloviz

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