Python Price Tracker: Monitor Any Website for Price Drops

Automating repetitive tasks saves hours every week. Python makes it surprisingly simple.

The Core Pattern

import requests from bs4 import BeautifulSoup import sqlite3 from datetime import datetime

class AutomationTool : def __init__ ( self ): self . conn = sqlite3 . connect ( ' data.db ' ) self . setup ()

def setup ( self ): self . conn . execute ( ''' CREATE TABLE IF NOT EXISTS records ( id INTEGER PRIMARY KEY, data TEXT, timestamp TEXT ) ''' ) self . conn . commit ()

def run ( self , target ): # 1. Fetch data headers = { ' User-Agent ' : ' Mozilla/5.0 ' } response = requests . get ( target , headers = headers ) soup = BeautifulSoup ( response . text , ' html.parser ' )

# 2. Extract what you need result = self . parse ( soup )

# 3. Store and act self . store ( result ) if self . should_alert ( result ): self . alert ( result )

return result

def parse ( self , soup ): # Customize this for your target return soup .…