orangearrow

A Python library for interacting with the Amazon Product Advertising API.

What is it?

orangearrow is a Python library that simplifies usage of the Amazon Product Advertising API. It aims to be easy to use, flexible and gets out of your way when you need it to.

What do I need to get started?

You will need an Amazon Associate Tag and Amazon API credentials. All of that is covered here.

How do I use it?

To use Search or Lookup functionality, first create an instance of the AmazonProductAPI class. You will need to pass your Amazon API credentials like so:

from orangearrow import AmazonProductAPI

amazon_api = AmazonProductAPI(
    access_key='AKIAIOSFODNN7EXAMPLE',
    secret_key='1234567890',
    associate_tag='mytag-20'
)

Search

To search for items, use the item_search method with a valid Search Index and a list of keywords:

search_response = amazon_api.item_search(
    'Electronics',
    ['Television', 'Flatscreen',]
)

You can also optionally pass a page parameter to paginate results:

search_response = amazon_api.item_search(
    'Electronics',
    ['Television', 'Flatscreen',],
    page=2
)

As well as specifying Response Groups to filter the information that you want returned:

search_response = amazon_api.item_search(
    'Electronics',
    ['Television', 'Flatscreen',],
    page=2,
    response_groups=['Variations', 'Reviews',],
)

To customize the request even further, you can add any ItemSearch parameters supported by the Amazon API into a parameters dictionary:

search_response = amazon_api.item_search(
    'Electronics',
    ['Television', 'Flatscreen',],
    parameters={
        'Brand': 'Sony',
        'MaximumPrice': '50000',
    }
)

Item Lookup

The item_lookup method can be used to look up individual items by their ASIN ID:

product_response = amazon_api.item_lookup('B07D4FQB8S')

Or by a different supported IdType and Search Index:

product_response = amazon_api.item_lookup(
    '602498631416',
    search_index='Music',
    id_type='UPC'
)

Similar to the search method, response_groups and extra parameters supported by ItemSearch may also be used:

product_response = amazon_api.item_lookup(
    '602498631416',
    search_index='Music',
    id_type='UPC',
    response_groups=['Reviews'],
    parameters={'TruncateReviewsAt': 200}
)

Similarity Lookup

The similarity_lookup method can be used to find similar items for one or more ASIN values:

similarities_response = amazon_api.similarity_lookup(['B00JFC9ALE', 'B06XY1YTMJ'])

This method will also accept response_groups and additional parameters that are supported by Similarity Lookup:

similarities_response = amazon_api.similarity_lookup(
    ['B00JFC9ALE', 'B06XY1YTMJ'],
    response_groups=['EditorialReview'],
    parameters={'MerchantId': 'Amazon'}
)

Responses

In the Search and Lookup examples above, an instance of AmazonProductAPIResponse will be returned. The returned data can be accessed in a dictionary via the data property of the response:

search_response.data

Or the raw XML can be accessed via the raw_response_content property:

search_response.raw_response_content

If any errors occurred, the following properties will contain error information:

search_response.is_error
search_response.error_code
search_response.error_msg

The instance will also contain the response's status code and headers:

search_response.status_code
search_response.headers