Amazon MWS Product Feed Not Submitting: A Solution

Amazon Marketplace Web Service (MWS) is a powerful tool that allows sellers to automate their business processes. However, it can occasionally run into issues, like Amazon MWS product feed not submitting. This post will show you how to tackle this problem.

Amazon MWS Product Feed Not Submitting: A Solution

Amazon Marketplace Web Service (MWS) is a powerful tool that allows sellers to automate their business processes. However, it can occasionally run into issues, like Amazon MWS product feed not submitting. This post will show you how to tackle this problem.

What is an Amazon MWS Product Feed?

An Amazon MWS Product Feed is a data file that contains all the information about a seller’s product. It’s in XML format and can include details such as product title, price, SKU, and more. Sellers submit this feed to Amazon MWS to update their inventory on Amazon’s website.

If the product feed is not submitting correctly, it can disrupt the inventory update process, leading to inaccurate product listings.

Identifying the Problem

If you’re encountering difficulties with your Amazon MWS Product Feed submission, the first step is to identify the problem.

  1. Check your feed file: Ensure your XML file is correctly formatted and does not contain any syntax errors.

  2. Verify your credentials: Make sure you’re using the correct seller ID, MWS Auth Token, and marketplace ID.

  3. Confirm your quota: Amazon MWS has API usage limits. Ensure you haven’t exceeded your quota.

How to Troubleshoot and Fix the Issue

1. Validate Your XML Feed

Use an XML validator tool to check for errors in your XML file. This tool will help identify any inconsistencies or invalid entries in your file.

<!-- Example of a valid XML product feed -->
<?xml version="1.0" encoding="UTF-8"?>
<AmazonEnvelope xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="amzn-envelope.xsd">
    <Header>
        <DocumentVersion>1.01</DocumentVersion>
        <MerchantIdentifier>M_EXAMPLE_123456</MerchantIdentifier>
    </Header>
    <MessageType>Product</MessageType>
    <PurgeAndReplace>false</PurgeAndReplace>
    <!-- More product data here -->
</AmazonEnvelope>

2. Check Your MWS Credentials

Ensure you’re using the correct MWS credentials. The seller ID, MWS Auth Token, and marketplace ID should match your Amazon MWS account.

# Python MWS Example
import mws

# Replace with your own credentials
access_key = "access_key_here"
secret_key = "secret_key_here"
seller_id = "seller_id_here"
auth_token = "auth_token_here"

mws_api = mws.Products(access_key, secret_key, seller_id, auth_token)

3. Review Your API Usage

Amazon has API usage limits for MWS. If you’re making too many requests within a short period, you might exceed your quota and be temporarily blocked. You can check your API usage in the Amazon MWS Developer Central.

# Python MWS example to get service status
service_status = mws_api.get_service_status()
print(service_status)

If you see a throttling error, you’ll need to reduce your request frequency.

4. Use Amazon MWS Scratchpad

Amazon MWS Scratchpad is a valuable tool for troubleshooting. You can submit your feed and see real-time results, including errors.

Conclusion

Troubleshooting Amazon MWS Product Feed submission issues can be complex but is crucial for maintaining accurate product listings. By validating your XML feed, verifying your MWS credentials, reviewing your API usage, and leveraging the Amazon MWS Scratchpad, you can diagnose and resolve these issues effectively.

Don’t forget, when working with Amazon MWS, always keep an eye on your API usage and the format of your XML files to prevent problems before they occur.


Tags: Amazon MWS, Product Feed, Troubleshooting, Data Science, Software Engineering


About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.