Wapy

Wapy is a fully featured Python wrapper for the Walmart Open API.

Features

Easy to use, object oriented interface to the Walmart Open API. (Products and Reviews are retrieved as objects)
Ready to use, parsed attributes. e.g. prices as float, no strings with escaped html entities, numbers as int.
Full support for Walmart Search API, Product Recommendation API, Post Browsed Products API, Trending API and more.
Get all responses with richAttributes='true' by default. This lets you get weight and dimensions right off the shelf.
Proper error handling according to original Walmart API documentation
Helper functions such as bestseller_products() and more from the Special Feeds section.
Silently fails when attribute not found in response
Fully documented source code
Support for Python 2.7, 3.2, 3.3, 3.4 and 3.5

Requirements

Before using Wapy, you want to make sure you have requests installed and a Walmart Open API key:

pip install requests
Register and grab your API key in the Walmart Open API Developer portal.

Installation

Installation via pip is recommended:

pip install wapy

You can also install it from source:

git clone https://github.com/caroso1222/wapy
cd wapy
python setup.py install

Basic usage

from wapy.api import Wapy

wapy = Wapy('your-walmart-api-key') # Create an instance of Wapy.

#### PRODUCT LOOKUP ####
product = wapy.product_lookup('21853453') # Perform a product lookup using the item ID.
print (product.name) # Apple EarPods with Remote and Mic MD827LLA
print (product.weight) # 1.0
print (product.customer_rating) # 4.445
print (product.medium_image) # https://i5.walmartimages.com/asr/6cd9c...

#### PRODUCT SEARCH ####
products = wapy.search('xbox')
for product in products:
    print (product.name)

#### PRODUCT REVIEWS ####
reviews = wapy.product_reviews('21853453')
for review in reviews:
    print (review.reviewer)

This example barely shows the power of Wapy. Read the API documentation to discover all you can achieve with this library.

API documentation

`class Wapy`

This class models the main Walmart API proxy class and offers services such as product lookup, product search, trending products retrieval, and much more.

Methods

`init([api_key], **kwargs)`

Initialize a Walmart API Proxy.

Params#####

api_key A string representing the Walmart Open API key. Can be found in 'My Account' when signing in your Walmartlabs account.
Named optional params passed in kwargs:
- LinkShareID Your own LinkShare ID. It can be found in any link you generate from the LinkShare platform after the 'id=' parameter. It is an 11 digit alphanumeric string.

`product_lookup([item_id], **kwargs)`

Walmart product lookup.

Params

item_id A string representing the product item id.
Named optional params passed in kwargs:
- richAttributes A boolean to specify whether you want to get your reponse with rich attributes or not. It's True by default.

Return

An instance of WalmartProduct. <[WalmartProduct]>

`search([query], **kwargs)`

Search allows text search on the Walmart.com catalogue and returns matching items available for sale online.

This implementation doesn't take into account the start parameter from the actual Walmart specification. Instead, I've abstracted the same concept to a paginated approach. You can specify which 'page' of results you get, according to the numItems you expect from every page.

Params

query Search text - whitespace separated sequence of keywords to search for
Unnamed params passed in kwargs:
- numItems Number of matching items to be returned, max value 25. Default is 10.
- page Number of page retrieved. Each page contains [numItems] elements. If no numItems is specified, a default page contains 10 elements.
- categoryId Category id of the category for search within a category. This should match the id field from Taxonomy API
- sort Sorting criteria, allowed sort types are [relevance, price, title, bestseller, customerRating, new]. Default sort is by relevance.
- order Sort ordering criteria, allowed values are [asc, desc]. This parameter is needed only for the sort types [price, title, customerRating].
- responseGroup Specifies the item fields returned in the response, allowed response groups are [base, full]. Default value is base.
- facet Boolean flag to enable facets. Default value is off. Set this to on to enable facets.
- facet.filter Filter on the facet attribute values. This parameter can be set to : (without the angles). Here facet-name and facet-value can be any valid facet picked from the search API response when facets are on.
- facet.range Range filter for facets which take range values, like price. See usage above in the examples.

Return

A list of WalmartProduct instances. <[WalmartProduct]>

####product_recommendations([item_id]) Returns a list of a product's related products. A maximum of 10 items are returned, being ordered from most relevant to least relevant for the customer.

Params

item_id The id of the product from which the related products are returned

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`post_browsed_products([item_id])`

Returns a list of recommended products based on their product viewing history. A maximum of 10 items are returned, being ordered from most relevant to least relevant for the customer.

Params

item_id The id of the product from which the post browsed products are returned

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`product_reviews([item_id])`

Returns the list of reviews written by Walmart users for a specific item.

Params

item_id The id of the product which reviews are returned from

Return

A list of WalmartProductReview instances. <[WalmartProductReview]>

`trending_products()`

Returns a list of items according to what is bestselling on Walmart.com right now. The items are curated on the basis of user browse activity and sales activity, and updated multiple times a day.

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`bestseller_products([category])`

Return a list of bestselling items in their respective categories on Walmart.com. This method is part of the Special Feeds section of the Walmart API.

Params

category The number id of the category from which the products are retrieved.

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`clearance_products([category])`

Return a list of all items on clearance from a category. This method is part of the Special Feeds section of the Walmart API.

Params

category The number id of the category from which the products are retrieved.

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`special_buy_products([category])`

Return a list of all items on Special Buy on Walmart.com, which means there is a special offer on them. This method is part of the Special Feeds section of the Walmart API.

Params

category The number id of the category from which the products are retrieved.

Return

A list of WalmartProduct instances. <[WalmartProduct]>

`class WalmartProduct`

This class models a Walmart Product as an object. A WalmartProduct instance will be returned when performing a product_lookup from your Wapy instance.

Methods

`get_attribute([name])`

Returns any of the product attributes from the Full Response group. When using this method to get attribute values, you must parse the response to float or integer whenever needed. I don't recommend accessing attributes using this method. Direct attribute access is preferred. See Atributes section below.

Params

name Product attribute's name. Check out the Atributes section below to see allowed names.

Return

The product attribute value. <string>

`get_images_by_size([size])`

A list with all the images URLs. Primary image is always returned in the first position of the list.

Params

size Size of the desired images: possible options are: 'thumbnail', 'medium', 'large'.

Return

List with all the images URLs. <[string]>

Attributes

All properties return None if not found in the Walmart API response.

`item_id`

A positive integer that uniquely identifies an item. <string>

`parent_item_id`

Item Id of the base version for this item. This is present only if item is a variant of the base version, such as a different color or size. <string>

`name`

Standard name of the item. <string>

`msrp`

Manufacturer suggested retail price. <string>

`sale_price`

Selling price for the item in USD. <float>

`upc`

Unique Product Code. <string>

`category_path`

Product Category path: Breadcrumb for the item. This string describes the category level hierarchy that the item falls under. <string>

`category_node`

Category id for the category of this item. This value can be passed to APIs to pull this item's category level information. <string>

`short_description`

Short description for the item. <string>

`long_description`

Long description for the item. <string>

`brand_name`

Item's brand name. <string>

`thumbnail_image`

URL for the small sized image. This is a jpeg image with dimensions 100 x 100 pixels. <string>

`medium_image`

URL for the medium sized image. This is a jpeg image with dimensions 180 x 180 pixels. <string>

`large_image`

URL for the large sized image. This is a jpeg image with dimensions 450 x 450 pixels. <string>

`images`

A list with all the large size images URLs. Primary image is always returned in the first position of the list. <[string]>

`product_tracking_url`

Deep linked URL that directly links to the product page of this item on walmart.com. This link uniquely identifies the affiliate sending this request via a linkshare tracking id |LSNID|. The LSNID parameter needs to be replaced with your linkshare tracking id, and is used by us to correctly attribute the sales from your channel on walmart.com. Actual commission numbers will be made available through your linkshare account. <string>

Note: If you created a Wapy instance without explicitly setting LinkShareID, you'll get a NoLinkShareIDException exception when trying to access this property.

`size`

Size attribute for the item. <string>

`color`

Color attribute for the item. <string>

`model_number`

Model number attribute for the item. <string>

`product_url`

Walmart.com url for the item. <string>

`available_online`

Whether or not the item is currently available for sale on Walmart.com. <boolean>

`stock`

Indicative quantity of the item available online. Possible values are [Available, Limited Supply, Last few items, Not available]. <string>

Limited supply: can go out of stock in the near future, so needs to be refreshed for availability more frequently.

Last few items: can go out of stock very quickly, so could be avoided in case you only need to show available items to your users.

`customer_rating`

Average customer rating out of 5. <float>

`num_reviews`

Number of customer reviews available on this item on Walmart.com. <int>

`weight`

Indicates the weight of the item. <float>

`length`

Indicates the length of the item. First dimension returned by attribute dimensions e.g. dimensions: "2.0 x 3.0 x 4.0" would return 2.0 as length. <float>

`width`

Indicates the width of the item. Second dimension returned by attribute dimensions e.g. dimensions: "2.0 x 3.0 x 3.0" would return 3.0 as width. <float>

`height`

Indicates the height of the item. Third dimension returned by attribute dimensions e.g. dimensions: "2.0 x 3.0 x 4.0" would return 4.0 as height. <float>

`color`

Color attribute for the item. <string>

`class WalmartProductReview`

This class models a Walmart Product review as an object. A list containing WalmartProductReview instances will be returned when calling the method product_reviews from your Wapy instance.

Attributes

All properties return None if not found in the Walmart API response.

`reviewer`

Name/alias of the reviewer. <string>

`review`

The complete product review. <string> ####date The product review date. <string>

`up_votes`

Number of up votes for this review. <int>

`down_votes`

Number of down votes for this review. <int>

`rating`

Overall rating given by the reviewer. <int>

Contribution

There are still some things to do to make Wapy a super badass Python wrapper for the Walmart Open API:

Return reviews statistics
Return all the Special Feeds. Already implemented: Bestsellers, Clearance, Special Buy. Still not implemented:
- preOrder
- rollback
Get the categories taxonomy. Not sure whether or not this would be useful at all
Support for Data Feed API. Similar results can be achieved through the search method by passing a categoryId as an argument.
Unit testing

Please open up an issue and let me know what you're working on. Feel free to make a PR.

Credits

Wapy was inspired by this awesome Python wrapper for the Amazon product API. I took from it some of the code structure, several design parameters and best practices.
Most of the documentation is based on the original Walmart API specification.

License

Wapy is under MIT licence

Name		Name	Last commit message	Last commit date
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wapy		wapy
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
LICENCE.md		LICENCE.md
README.md		README.md
requirements.txt		requirements.txt
setup.cfg		setup.cfg
setup.py		setup.py

License

caroso1222/wapy

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Wapy

Features

Requirements

Installation

Basic usage

API documentation

class Wapy

Methods

__init__([api_key], **kwargs)

Params#####

product_lookup([item_id], **kwargs)

Params

Return

search([query], **kwargs)

Params

Return

Params

Return

post_browsed_products([item_id])

Params

Return

product_reviews([item_id])

Params

Return

trending_products()

Return

bestseller_products([category])

Params

Return

clearance_products([category])

Params

Return

special_buy_products([category])

Params

Return

class WalmartProduct

Methods

get_attribute([name])

Params

Return

get_images_by_size([size])

Params

Return

Attributes

item_id

parent_item_id

name

msrp

sale_price

upc

category_path

category_node

short_description

long_description

brand_name

thumbnail_image

medium_image

large_image

images

product_tracking_url

size

color

model_number

product_url

available_online

stock

customer_rating

num_reviews

weight

length

width

height

color

class WalmartProductReview

`class Wapy`

`init([api_key], **kwargs)`

`product_lookup([item_id], **kwargs)`

`search([query], **kwargs)`

`post_browsed_products([item_id])`

`product_reviews([item_id])`

`trending_products()`

`bestseller_products([category])`

`clearance_products([category])`

`special_buy_products([category])`

`class WalmartProduct`

`get_attribute([name])`

`get_images_by_size([size])`

`item_id`

`parent_item_id`

`name`

`msrp`

`sale_price`

`upc`

`category_path`

`category_node`

`short_description`

`long_description`

`brand_name`

`thumbnail_image`

`medium_image`

`large_image`

`images`

`product_tracking_url`

`size`

`color`

`model_number`

`product_url`

`available_online`

`stock`

`customer_rating`

`num_reviews`

`weight`

`length`

`width`

`height`

`color`

`class WalmartProductReview`

`reviewer`

`review`

`up_votes`

`down_votes`

`rating`

Packages