Amazon Seller API Python: How to Create and Manage Listings with the Catalog Items API
Amazon Seller API Python: A Complete Guide for Beginners
If you are an Amazon seller who wants to automate and optimize your business operations, you might be interested in using Amazon Seller API. This is a set of web services that allows you to access various data and functions related to your seller account, such as orders, inventory, reports, feeds, and more.
In this article, we will explain what Amazon Seller API is, how to get started with it, how to use it with Python, and some best practices and tips to make the most out of it. By the end of this article, you will have a clear understanding of how to use Amazon Seller API Python to boost your sales and efficiency.
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What is Amazon Seller API?
Amazon Seller API (also known as Selling Partner API or SP-API) is a REST-based web service that allows you to programmatically access various features and data related to your seller account on Amazon. You can use Amazon Seller API to perform tasks such as:
Manage your orders, shipments, returns, and cancellations
Update your inventory and pricing
Create and download reports on your sales, performance, fees, and more
Submit feeds to upload or update product listings, images, prices, etc.
Send messages to buyers or request reviews
Get notifications on important events or changes
Benefits of using Amazon Seller API
Using Amazon Seller API can bring you many benefits, such as:
Saving time and money by automating repetitive or complex tasks
Improving your customer service and satisfaction by responding faster and more accurately
Gaining insights and intelligence from your data and reports
Integrating your Amazon seller account with other platforms or tools
Scaling your business and expanding your reach
How to get started with Amazon Seller API
To use Amazon Seller API, you need to follow these steps:
Step 1: Register as a developer and create an app
The first step is to register as a developer on the . This will allow you to create an app that will use Amazon Seller API. You can choose to create either a self-authorized app (if you only want to access your own seller account) or a hybrid app (if you also want to access other sellers' accounts).
To create an app, you need to provide some basic information, such as the app name, description, logo, website, etc. You also need to select the regions and marketplaces where you want to sell, and the roles and scopes that define what features and data you want to access with your app.
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Step 2: Obtain credentials and tokens
The next step is to obtain the credentials and tokens that you need to authenticate your app and make requests to Amazon Seller API. There are two types of credentials that you need:
LWA credentials: These are the Login with Amazon (LWA) credentials that allow you to obtain access tokens from LWA. You can get these credentials from the .
AWS credentials: These are the AWS (Amazon Web Services) credentials that allow you to sign your requests with AWS Signature Version 4. You can get these credentials I hope you found the web search results helpful. Here are some tips on how to use pagination and throttling with Amazon Seller API Python: - Pagination is the process of dividing a large set of data into smaller subsets that can be retrieved with multiple requests. Throttling is the mechanism that limits the number of requests that can be made to an API within a certain time period. - To use pagination with Amazon Seller API, you need to check the response headers for the nextToken parameter, which indicates that there are more pages of data available. You can use this parameter as an input for the next request to get the next page of data. For example, to get orders data, you can use the Orders().get_orders() method from the python-amazon-sp-api library, and pass the nextToken parameter if it exists in the previous response. Here is a sample code snippet: ```python from sp_api.api import Orders from sp_api.base import SellingApiException next_token = None # initialize next token as None orders = [] # initialize empty list to store orders while True: # loop until there is no more next token try: if next_token: # if there is a next token, use it as a parameter response = Orders().get_orders(NextToken=next_token) else: # otherwise, use other parameters such as CreatedAfter response = Orders().get_orders(CreatedAfter='2021-10-01') orders.extend(response.payload['Orders']) # append orders to the list next_token = response.headers.get('NextToken') # get next token from headers if not next_token: # if there is no next token, break the loop break except SellingApiException as e: # handle exceptions print(e) break print(orders) # print the list of orders ``` - To use throttling with Amazon Seller API, you need to check the response headers for the x-amzn-RateLimit-Limit and x-amzn-RateLimit-Remaining parameters, which indicate the maximum and remaining number of requests per second that you can make to an API. You also need to handle the 429 Too Many Requests error response, which indicates that you have exceeded the rate limit and need to wait before making another request. You can use a retry strategy or a backoff algorithm to handle throttling errors. For example, you can use the requests library and its built-in retry functionality to make requests with exponential backoff and jitter. Here is a sample code snippet: ```python import requests from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry # define a retry strategy with exponential backoff and jitter retry_strategy = Retry( total=10, # maximum number of retries backoff_factor=1, # multiplier for exponential backoff status_forcelist=[429], # status codes to retry on method_whitelist=["GET", "POST"], # HTTP methods to retry on respect_retry_after_header=True # respect the Retry-After header from server ) # create an adapter with the retry strategy adapter = HTTPAdapter(max_retries=retry_strategy) # create a session object and mount the adapter session = requests.Session() session.mount(" adapter) session.mount(" adapter) # make a request with the session object response = session.get(" # check the rate limit headers rate_limit = response.headers.get('x-amzn-RateLimit-Limit') rate_remaining = response.headers.get('x-amzn-RateLimit-Remaining') print(f"Rate limit: rate_limit, Rate remaining: rate_remaining") # check the response status code and payload if response.status_code == 200: print(response.json()) else: print(response.text) Step 3: Choose a Python library or framework
The last step before you can start using Amazon Seller API with Python is to choose a library or framework that can help you make requests and handle responses. There are several options available, such as:
: A Python wrapper for Amazon Seller API that provides easy access to all the operations and resources.
: The official AWS SDK for Python that can be used to sign requests with AWS Signature Version 4 and interact with AWS services.
: A popular Python library for making HTTP requests that can be used to send and receive da