Steam Store Scraper crawls the Steam front page and extracts data from individual Steam Store pages. The extracted data is stored in a dataset, from where you can extract it in various formats, such as JSON, XML, CSV, and Excel.

Lukas Moucka

297

Steam Reviews Scraper

easyapi/steam-reviews-scraper

🚀 Effortlessly scrape Steam game reviews with our advanced Actor! 🎮 Collect comprehensive review data, including helpfulness, play time, and reviewer details. Perfect for game developers, marketers, and researchers seeking deep insights into player feedback and experiences. 📊🕹️

EasyApi

Steam Store Search Scraper

easyapi/steam-store-search-scraper

🚀 Effortlessly scrape Steam game listings with our advanced Actor! 🎮 Collect comprehensive game data, including titles, prices, platforms, and reviews. Perfect for developers, marketers, and researchers seeking insights into the gaming market. 📊🕹️

EasyApi

Steam Store Scraper

saswave/steam-store-scraper

Steam store scraper. Extract search results from the steam store. Scrap games data: bundle discount, release date, discount, price, image, original_price, platforms types, reviews score, title, url

SASWAVE

Steam Email Scraper

scraper-mind/steam-email-scraper

Steam Email Scraper – Extract verified Steam emails with ease! 🚀 Perfect for game devs, marketers, and researchers, this tool scrapes emails using keywords, locations & custom domains. Supports proxy use for smooth scraping. 📊 Export in JSON, CSV, Excel for outreach & insights!

Scraper Mind

🐺 App Store Reviews Scraper | Pay Per Result

thewolves/appstore-reviews-scraper

App Store Reviews Scraper is your ultimate tool to retrieve the reviews directly from the Apple Store. With extremely capable information retrieval, the lowest price, and lightning speed, this actor is unbeatable. It's priced at just $0.10 per 1000 reviews!

The Wolves

257

1.4

Steam Reviews Actor

getdataforme/steam-reviews-actor

Scrape Steam user reviews from any game page—capture reviewer username, profile link, avatar, total reviews, recommendation (Recommended/Not Recommended), playtime, date posted, and full review text. Simple JSON input with URLs and item limit; outputs ready for analysis.