Steam Game Data Scraper

Scrape comprehensive game data from Steam's store including pricing, ratings, reviews, tags, and system requirements. Perfect for gaming industry analysis, market research, and game development intelligence.

Features

• Game Information: Titles, descriptions, release dates, developers, and publishers
• Pricing Data: Current prices across regions, historical pricing, discount tracking
• Rating & Reviews: User ratings, review counts, positive/negative percentages
• Game Tags: Genre tags, gameplay features, and thematic tags
• System Requirements: Minimum and recommended Windows, Mac, and Linux specs
• Popular Features: Multiplayer, achievements, trading cards, controller support status
• Screenshots & Media: Links to game artwork and media assets
• Developer Profile: Developer name, publisher, and other published games
• Flexible Search: Search by title, tags, category, or direct Steam URLs

Input Parameters

Parameter	Type	Required	Description	Default
searchTerm	String	No	Game title or keyword to search	""
steamUrls	Array	No	Direct Steam game page URLs	[]
maxResults	Integer	No	Maximum games to return (1-500)	50
includeReviews	Boolean	No	Include detailed review data	true
includeSystemReqs	Boolean	No	Include system requirements	true

Output

Field	Type	Description
appId	String	Steam App ID
title	String	Game title
developer	String	Developer name
publisher	String	Publisher name
releaseDate	String	Release date (YYYY-MM-DD)
price	Number	Price in USD
discount	Object	Current discount percentage and original price
rating	Number	User rating (0-100)
reviewCount	Integer	Total number of reviews
positivePercentage	Number	Percentage of positive reviews
tags	Array	Genre and feature tags
platforms	Object	Available on Windows, Mac, Linux
systemRequirements	Object	Min and recommended specs
features	Array	Game features (multiplayer, achievements, etc.)
screenshots	Array	Screenshot image URLs
url	String	Steam store page URL

Use Cases

• Game Market Research: Analyze pricing trends, popular genres, and market saturation
• Competitive Analysis: Monitor competitor game releases, pricing, and player reception
• Gaming Analytics: Track rating distributions, review sentiment, and player preferences
• Publisher Intelligence: Profile developer output, pricing strategies, and release patterns
• Investment Analysis: Evaluate gaming market trends and developer performance
• Data Science: Collect gaming industry datasets for ML model training
• Trend Analysis: Identify emerging game genres and feature preferences

Example Output

{
  "appId": "730",
  "title": "Counter-Strike 2",
  "developer": "Valve",
  "publisher": "Valve",
  "releaseDate": "2023-09-01",
  "price": 0.0,
  "discount": {
    "percentage": 0,
    "originalPrice": 0.0
  },
  "rating": 83,
  "reviewCount": 847293,
  "positivePercentage": 83.5,
  "tags": ["Action", "FPS", "Competitive", "Multiplayer"],
  "platforms": {
    "windows": true,
    "mac": false,
    "linux": true
  },
  "systemRequirements": {
    "minimum": {
      "os": "Windows 10 64-bit",
      "processor": "Intel Core 2 Duo E8400",
      "memory": "2 GB RAM",
      "graphics": "Intel UHD Graphics 630"
    },
    "recommended": {
      "os": "Windows 10 64-bit",
      "processor": "Intel Core i5-4670",
      "memory": "8 GB RAM",
      "graphics": "NVIDIA GTX 970"
    }
  },
  "features": ["Multiplayer", "Steam Achievements", "Steam Cloud", "Trading Cards"],
  "screenshots": ["https://cdn.cloudflare.steamstatic.com/..."],
  "url": "https://steampowered.com/app/730/CounterStrike_2/"
}

Limitations

• Price data may vary by region and timezone
• User reviews and ratings are updated periodically, not real-time
• Some games may have restricted data or region-specific limitations
• Upcoming/unreleased games may have incomplete information
• Free-to-play games may show different data structure
• Large search result sets may require multiple API requests

Cost & Performance

Typical runs cost $0.10-$0.50 in platform credits for 50-200 games. Processing time: ~1-3 minutes depending on search result count and data complexity.

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Built by nexgendata. Need help? Check the documentation or open an issue on the actor page.