How to Scrape Steam in 2026: Games, Reviews, Prices, and Player Data

Steam is the world's largest PC gaming platform with over 70,000 games, millions of user reviews, and real-time player data. Whether you're building a game analytics dashboard, tracking pricing trends, or researching the indie game market, scraping Steam gives you access to data no other source provides. In this guide, I'll walk you through scraping Steam game data, reviews, pricing, and player statistics using Python. What Data Can You Get from Steam? Steam's public pages and unofficial APIs expose a wealth of data: Game info — title, description, genres, tags, release date, developer, publisher Pricing — current price, discounts, historical lowest price, regional pricing Reviews — user review text, rating, playtime, helpfulness votes Player data — current players, peak players, player count history Store data — top sellers, new releases, trending games, wishlisted games Setting Up pip install requests beautifulsoup4 lxml Using Steam's Unofficial API Steam actually has several public