A Python wrapper around the IFood API.
This library provides a pure Python interface for the IFood API. It was tested with Python 3.
IFood provides a service that allows people to order food from restaurants in their app. IFood exposes a web services API, that was found during a network analysis on their website and this library is intended to make it easier for all people to access these provided data.
The code is hosted at https://github.com/Kcpf/foodata
Check out the latest development version anonymously with:
$ git clone git@github.com:Kcpf/foodata.git
$ cd foodata
To install dependencies, run:
$ pip install -r requirements.txt
To run the unit tests with a single Python version:
$ python -m unittest discover
TODO
The library provides a Python wrapper around the IFood API and the IFood data model. To get started, check out the examples in the examples/ folder.
Also, you will need to get authentication from their website (see .env.example). The easiest way, that I found until now, is to get the authentication from requests sent when using their services.
The library utilizes models to represent various data structures returned by IFood. Those models are:
- foodata.classes.Category
- foodata.classes.Merchant
- foodata.classes.Item
- foodata.classes.Facet
- foodata.classes.Choice
- foodata.classes.Garnish
The API is exposed via the foodata.api package.
You will need to get authentication from their website (see .env.example). The easiest way, that I have found until now, is to get the authentication from requests sent when using their services.
Patches, pull requests, and bug reports are welcome, just please keep the style consistent with the original source.
In particular, having more example scripts would be a huge help. Also, creating an useful documentation.
It's a full-on open source project. So, if you want to colaborate, feel free to fork our repository and send a PR.