mounishvatti/SteamScrape
Ever wondered what players really think about a game before you dive in? This project does just that! By scraping Steam game reviews, we not only gather user feedback but also run some sentiment analysis to understand if the community is loving it or hating it.
Want to know if a Steam game is a hit or a miss before buying? This project scrapes Steam game reviews and performs sentiment analysis to tell you what players really think. It takes raw game reviews and provides insights into community reception, helping gamers make informed purchasing decisions.
No commits in the last 6 months.
Use this if you want to quickly understand the overall sentiment of a game's community reviews to guide your purchasing decisions.
Not ideal if you need real-time, large-scale, or programmatic access to Steam review data, as it's designed for individual analysis and ethical scraping practices must be considered.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 30, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mounishvatti/SteamScrape"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
FronkonGames/Steam-Games-Scraper
Extract information from all games published in Steam thanks to its Web API, and store it in JSON format.
AFAgarap/ecommerce-reviews-analysis
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional...
t-shah02/amazon-reviews-nlp-sentiment-analysis
A data science project that utilizes ETL, EDA and ML to analyze sentiments on various Amazon...
goutam16x/FINAL-AI-ML-results
📊 Analyze Airbnb reviews using AI/ML techniques to classify sentiment and enhance your...
taneemishere/Sentiment-Analysis-with-Product-Reviews
Machine learning techniques are used to evaluate a piece of text and determine the sentiment behind it.