How to Build a Cross-Border E-commerce Arbitrage Finder with Python

Price differences between Amazon US, UK, DE, and JP can exceed 50% for the same product. Build a scraper that finds these arbitrage opportunities automatically. The Arbitrage Opportunity Cross-border e-commerce arbitrage exploits price differences for identical products across regional marketplaces. Currency fluctuations and regional pricing create persistent gaps. Scraping Multi-Region Product Prices import requests from bs4 import BeautifulSoup import pandas as pd from datetime import datetime API_KEY = " YOUR_SCRAPERAPI_KEY " # Get one at https://www.scraperapi.com?fp_ref=the52 REGIONS = { ' US ' : { ' domain ' : ' amazon.com ' , ' currency ' : ' USD ' , ' rate_to_usd ' : 1.0 }, ' UK ' : { ' domain ' : ' amazon.co.uk ' , ' currency ' : ' GBP ' , ' rate_to_usd ' : 1.27 }, ' DE ' : { ' domain ' : ' amazon.de ' , ' currency ' : ' EUR ' , ' rate_to_usd ' : 1.09 }, ' JP ' : { ' domain ' : ' amazon.co.jp ' , ' currency ' : ' JPY ' , ' rate_to_usd ' : 0.0067 }, } def scrape_amazon_price (