Scraping SteamDB and Video Game Price History

Gamers love deals, and video game prices fluctuate constantly across Steam, Epic Games Store, and other platforms. SteamDB tracks historical pricing data that's invaluable for building deal-finding tools. In this tutorial, we'll build a video game price tracker using Python. Why Track Game Prices? Find the best time to buy — games go on sale in predictable patterns Set price alerts — get notified when a game hits your target price Analyze pricing trends — understand publisher pricing strategies Compare across stores — Steam vs Epic vs GOG Setting Up pip install requests beautifulsoup4 pandas Using the Steam Store API Steam provides a free API for current pricing: import requests import json def get_steam_price ( app_id , country = " us " ): url = f " https://store.steampowered.com/api/appdetails " params = { " appids " : app_id , " cc " : country , " filters " : " price_overview " } response = requests . get ( url , params = params ) data = response . json () app_data = data . get ( st