From Scrape to Feed: Building a Google Merchant Center CSV from Zappos Data

Scraping product data is often only the first half of a larger business objective. Whether you are building a price comparison engine, a dropshipping store, or a market research tool, raw data is rarely useful in its initial state. If you want to list products on Google Shopping, you face a significant hurdle: Google Merchant Center (GMC) has incredibly strict formatting requirements. Raw scraped data from Zappos typically arrives as a nested JSON or JSONL file. Google expects a clean CSV or XML feed with specific headers like availability , image_link , and price formatted exactly to their specifications. This guide bridges that gap. We’ll use a production-ready Zappos scraper to extract data and then build a Python transformation pipeline using pandas to convert that raw data into a valid, GMC-compliant product feed. Prerequisites & Setup Ensure you have Python installed on your machine. We will use the playwright library for extraction and pandas for data transformation. First, clon