Building a Personalized Deal Finder Across 50+ Retail Sites

Everyone loves a good deal, but nobody has time to check 50 websites daily. Let's build a deal finder that scrapes retail sites, learns your preferences, and alerts you when prices drop on items you care about. How Deal Finders Work The best deal finders combine three things: Price scraping across multiple retailers Historical price tracking to identify real deals vs fake markdowns Personalization to surface deals you actually want Setting Up pip install requests beautifulsoup4 pandas scikit-learn schedule We'll use ScraperAPI to handle anti-bot protections on major retail sites: import requests from bs4 import BeautifulSoup import json import re SCRAPER_KEY = " YOUR_SCRAPERAPI_KEY " def scrape ( url , render = True ): """ Fetch page through ScraperAPI. """ params = { " api_key " : SCRAPER_KEY , " url " : url , " render " : str ( render ). lower () } resp = requests . get ( " http://api.scraperapi.com " , params = params , timeout = 60 ) return BeautifulSoup ( resp . text , " html.pars