Steam Listing Search By Keyword

Scrapes Steam game listings based on search keywords, returning structured data for market research, price tracking, and analysis.

Overview

This actor searches the Steam store for games matching provided keywords. It extracts comprehensive details for each game, including pricing, reviews, release dates, and platform support. Results are returned as structured JSON. Pricing is pay-per-result.

Key Features

• Keyword Search: Searches across game titles, descriptions, and tags.
• Comprehensive Data Extraction: Captures:
  • Game ID, name, and store URL.
  • Pricing: original price, discounted price, and discount percentage.
  • Release date.
  • Review summary and rating.
  • Supported platforms (Windows, Mac, Linux, VR).
  • Extraction timestamp and the search term used.
• Multiple Keywords: Process an array of search terms in a single run.
• Configurable Limits: Control results per keyword (max_results), which must be a multiple of 10 (e.g., 10, 50, 100).
• Automatic Pagination: Handles browsing through multiple pages of search results automatically.

Input/Output

Input

Provide a JSON object with the search terms and desired result limit.

{
  "search_terms": ["ninja", "assassin", "RPG"],
  "max_results": 100
}

Note: max_results applies to each keyword independently. The example above could return up to 300 total results (100 per keyword).

Output

A JSON dataset containing an array of game objects.

[
  {
    "id": "123456",
    "name": "Ninja Assassin: Shadow Strike",
    "url": "https://store.steampowered.com/app/123456/Ninja_Assassin_Shadow_Strike/",
    "price": "$29.99",
    "discount_price": "$14.99",
    "discount_percentage": "-50%",
    "release_date": "Dec 15, 2024",
    "reviews_summary": "Very Positive (1,234 reviews)",
    "platforms": ["WIN", "MAC", "LINUX"],
    "extraction_date": "2025-12-02",
    "extraction_datetime": "2025-12-02T10:30:45.123456+00:00",
    "search_term": "ninja"
  }
]

How to Use

In Apify Console

1. Click "Run" on the actor page.
2. Provide your input in the JSON format shown above.
3. The actor will run, with results available in the Dataset tab.

From Code (Python Example)

Use the Apify API or SDK.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("your-actor-id").call(
    run_input={
        "search_terms": ["ninja", "assassin", "RPG"],
        "max_results": 100
    }
)
# Fetch and process results from the run's dataset