How to Monitor Amazon Product Prices in Python (Without Getting Blocked in 2026)

Price tracking is a billion-dollar industry. From Keepa to CamelCamelCamel, hundreds of tools monitor Amazon prices — and behind each one is a scraper that needs to survive Amazon's anti-bot defenses. In this guide, I'll show you how to build a working Amazon price monitor in Python, why naive approaches fail, and how to actually keep it running in 2026. The Basic Approach (And Why It Breaks) Let's start with the simplest possible scraper: import requests from bs4 import BeautifulSoup def scrape_amazon_product ( url ): headers = { ' User-Agent ' : ' Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 ' , ' Accept-Language ' : ' en-US,en;q=0.9 ' , ' Accept ' : ' text/html,application/xhtml+xml ' } response = requests . get ( url , headers = headers ) if response . status_code != 200 : print ( f ' Blocked! Status: { response . status_code } ' ) return None soup = BeautifulSoup ( response . text , ' html.parser ' ) title = soup .