Dominos Pizza remains today a closed system, not officially offering a public API from which to order delicious baked pizzas. However with the invent of their multiple mobile applications and their own website having been reimplemented in AngularJS it was apparent these all used some undocumented API.
This package implements an abstract layer on top the Dominos Pizza (UK) API, returning objects from which data can be read.
Add this line to your application's requirements.txt:
dominos
And then execute:
$ pip install -r requirements.txt
Or install it yourself:
$ pip install dominos
Installing the latest version from Github:
$ git clone https://github.com/tomasbasham/dominos
$ cd dominos
$ python setup.py install
To use this package simply instantiate a Client
object:
from dominos import Client, VARIANT
api = Client()
store = api.get_nearest_store('AB12 000')
print(store.name)
This returns the nearest store for the supplied postcode and prints the name
returned from the API. Additionally it sets the necessary XSRF-TOKEN
required to perform some actions later in the process. These include adding an
item to the basket and processing payments.
To grab the store menu:
menu = api.get_menu(store)
potato_wedges = menu.get_product_by_name('Potato Wedges')
print(potato_wedges.price)
Note: Never call more than one api function in the same line! This causes issues with the API that may result in data being incorrectly processed.
api.add_item_to_basket(item=menu.get_item_by_name("Original Cheese & Tomato"), variant=VARIANTS.MEDIUM)
This code calls two api functions - api.add_item_to_basket
and
menu.get_item_by_name
. Instead it is recommended to store intermediate
values into separate variables:
potato_wedges = menu.get_item_by_name('Original Cheese & Tomato')
api.add_item_to_basket(item=potato_wedges, vairant=VARIANT.PERSONAL)
Having instantiated an API Client
a Store
is needed from which to
retrieve the full list of available items. This can be obtained through
get_nearest_store
:
from dominos import Client, FULFILMENT_METHOD, VARIANT
api = Client(session)
store = api.get_nearest_store('AB12 000')
The nearest store will be returned if and only if one can be found for the
given postcode. It is also possible to pass a more generic search term to
get_nearest_store
, i.e. Cardiff, that will return only stores from which
one may collect. In this instance get_nearest_store
will return None
.
If instead it is more appropriate to return a list of stores use get_stores
which also takes a generic search term and is indexed numerically.
At this point the delivery system should be initialised for the fulfilment method to be processed. This determines if the order will be for collection or delivery.
api.set_delivery_system(store, 'AB12 000', fulfilment_method=FULFILMENT_METHOD.COLLECTION)
In addition to COLLECTION
this method will also accept DELIVERY
indicating the order should be delivered. The default value for this method is
for delivery and may be omitted.
Now that a Store
object has been obtained through either of the above
methods, its menu may be retrieved with get_menu
, taking the store as an
argument.
menu = api.get_menu(store)
This will return a Menu
object that can be search by item name or
alternatively indexed by item ID. The menu item name must be spelled correctly
but is not cases-sensitive. If the item is found io the menu then an Item
object will be returned which may be added to the basket:
pizza = menu.get_product_by_name('Original Cheese & Tomato')
api.add_item_to_basket(pizza, variant=VARIANT.LARGE)
There are four available variants: PERSONAL
, SMALL
, MEDIUM
and
LARGE
. Note that the variant is ignored if adding a side since it must
always be PERSONAL
.
By defaut add_item_to_basket
will add only 1 item to the basket at a time
but this may be changed by passing a quantity
argument.
At this time, the Dominos library does not support order placement, although it should be entirely possible to accept orders that are marked for cash upon delivery (not all stores allow for this). For now the basket information can be printed:
basket = api.get_basket()
print(basket.items)
This project is licensed under the MIT License.