Amazon MWS报告响应是否正常？新手求助解析方法

Hey there! I’ve worked with Amazon MWS reports quite a bit, so let’s break down how to make sense of that confusing response you’re getting.

First, let’s clarify: the GET_MERCHANT_LISTINGS_DATA report almost always comes in a tab-separated values (TSV) format (rarely XML, but we’ll cover that too). Here’s a step-by-step guide to parse it:

1. Confirm the Response Format #

When you call the GetReport API, check the response headers first:

• If the Content-Type is text/tab-separated-values, you’re dealing with TSV.
• If it’s application/xml, you’ve got an XML report (less common for this report type).

In the scratchpad, the response will either show raw tab-separated text or XML tags. Copy a small snippet to confirm which one you’re working with.

2. Parsing TSV (Most Common Case) #

TSV is similar to CSV but uses tabs instead of commas. Here’s how to handle it properly:

• Use a dedicated TSV/CSV parser: Don’t try to split lines manually (fields can contain newlines or special characters!). For example:
  • In Python, use the built-in csv module with the tab delimiter:

    import csv
    
    # If you saved the report to a file
    with open('merchant_listings.tsv', 'r', encoding='utf-8') as file:
        reader = csv.DictReader(file, delimiter='\t')
        for row in reader:
            # Access fields like row['seller_sku'], row['asin1'], row['price']
            print(f"SKU: {row['seller_sku']}, ASIN: {row['asin1']}")
    

  • In JavaScript (Node.js), use libraries like csv-parser with separator: '\t'.
• Map fields to their meanings: The first row of the TSV is the header, which includes field names like seller_sku, asin1, price, quantity, product_name, etc. Cross-reference these with MWS’s report field reference to know exactly what each column represents.

3. Parsing XML (Rare Case) #

If you get an XML response, structure your parsing around the report’s XML schema:

• Use an XML parser to traverse nodes. For example, in Python:

  import xml.etree.ElementTree as ET
  
  tree = ET.parse('merchant_listings.xml')
  root = tree.getroot()
  
  for listing in root.findall('.//MerchantListing'):
      seller_sku = listing.find('seller_sku').text
      asin = listing.find('asin1').text
      print(f"SKU: {seller_sku}, ASIN: {asin}")
  

• Each listing will be wrapped in a <MerchantListing> element, with child elements for each data field.

4. Common Pitfalls to Avoid #

• Encoding issues: Reports are usually encoded in UTF-8, but sometimes ISO-8859-1. If you see weird characters, try switching the encoding when reading the file.
• Empty fields: Some columns (like gift_message_available) might be empty. Make sure your parser handles null values gracefully to avoid errors.
• Incomplete reports: Double-check the GetReportRequestList response to ensure the report status is _DONE_—if it’s still _IN_PROGRESS_, the data might be partial.

内容的提问来源于stack exchange，提问作者Designer Coder