How to Monitor Competitor Pricing 24/7 with Python Automation

Pricing is the most powerful lever in business. Knowing your competitors' prices in real time lets you react instantly — adjust margins, match promotions, and spot trends. Here's how to build automated price monitoring that runs 24/7. Architecture Overview Our system will: Scrape competitor product pages on schedule Extract and normalize prices Detect changes and alert on significant movements Store historical data for trend analysis Building the Price Scraper import requests from bs4 import BeautifulSoup import re import json from datetime import datetime API_KEY = " YOUR_SCRAPERAPI_KEY " class PriceMonitor : def __init__ ( self , api_key ): self . api_key = api_key self . price_history = {} def scrape_price ( self , url , selectors ): params = { " api_key " : self . api_key , " url " : url , " render " : " true " } resp = requests . get ( " https://api.scraperapi.com " , params = params , timeout = 60 ) soup = BeautifulSoup ( resp . text , " html.parser " ) price_el = soup . select_o