How to Export Depop Listings to a Shopify CSV Using Python

For many resellers, moving from a marketplace like Depop to a dedicated Shopify store is a major milestone. However, growth often hits a technical wall: inventory migration. Manually copy-pasting titles, descriptions, and high-resolution images for hundreds of items is a bottleneck that prevents you from scaling. This guide solves that problem by building an automated pipeline. We’ll use Python to scrape your Depop listings, transform that data into a Shopify-compatible format using Pandas, and generate a CSV file ready for instant import. Prerequisites Before starting, ensure you have the following: Python 3.8+ installed on your machine. A ScrapeOps API Key : Depop uses aggressive anti-bot measures. We use the ScrapeOps proxy aggregator to bypass these blocks. You can sign up for a free ScrapeOps account here . Pandas & Playwright : These libraries handle data manipulation and browser automation. Setup Instructions Clone the Depop.com-Scrapers repository , which contains the core scra