Prior to Installation

The script assumes you already have python installed, if you do proceed to the Installation section otherwise see below:

• Download and install python for your operating system here https://www.python.org/downloads/
• Open your command line and type in py -m pip --version and ensure that pip is installed as well.
• If pip isn't installed, do so by typing py -m ensurepip --default-pip

Installation

To install the dependencies, run the below command:

pip install -r requirements.txt

Usage

1. You can use the sample CSV File named "input.csv" to add the inputs The CSV File has the following inputs:

• company_name - The company name the code is for (just a visual signifier when the script runs so you know what organization is running in the list of codes)
• contract_number - The organization code, the website calls these account numbers and the app calls them contract IDs
• pickup_dt - Pickup date and time (Enter the time in 24 hours format)
  • Example - 22nd September 2022 4:30 PM = 2022-09-22T16:30
• dropoff_dt - Dropoff date and time (Enter the time in 24 hours format)
  • Example - 24th September 2022 9:00 AM = 2022-09-24T09:00
• location_name - Airport code of the location you're looking for the prices.

You can enter multiple company_name/contract_number / pickup_dt / dropoff_dt / location_name so that you can research prices at different points of a single trip in different cities or even at different airports for any number of organization codes.

2. After creating the CSV File, run the below command:

python main.py

3. After fetching and processing all the data, it will create a results.csv file in the same directory.

The results.csv will company_name contract_number location_name pickup_dt dropoff_dt car_type total_price using these values you can filter through to see what locations are the cheapest with a given code.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.