Steam Game Store Scraper - Prices & Reviews

Steam Game Store Scraper - Prices & Reviews pulls structured data from Steam Store and returns it as a clean dataset you can export as JSON, CSV or Excel. It pulls live store data for any Steam games - price, discount, release date, developer, genres, Metacritic score and the community review summary with a sample player review.

No API key, no login. Click Start and it works with the prefilled input.

What does Steam Game Store Scraper - Prices & Reviews do?

It queries Steam Store and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• Steam Store data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
appids	string	"570,292030,1091500,413150,105600"	Comma-separated Steam app IDs, e.g. 570,292030,1091500.
maxResults	integer	5	Maximum number of games to return.

Example input:

{
  "appids": "570,292030,1091500,413150,105600",
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "appid": "292030",
  "name": "The Witcher 3: Wild Hunt",
  "type": "game",
  "is_free": false,
  "price": 49.99,
  "initial_price": 49.99
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
appid	string	App ID
name	string	Game
type	string	Type
is_free	boolean	Free
price	number	Price
initial_price	number	List Price
discount_percent	integer	Discount %
currency	string	Currency
release_date	string	Release Date
developer	string	Developer
publisher	string	Publisher
genres	string	Genres
metacritic_score	integer	Metacritic
review_summary	string	Review Summary
review_score	integer	Review Score
review_percent	number	Positive %
total_reviews	integer	Total Reviews
total_positive	integer	Positive Reviews
total_negative	integer	Negative Reviews
sample_review	string	Sample Review
url	string	Store URL
header_image	string	Header Image

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from Steam Store. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Use Steam app IDs (the number in a store URL), e.g. 570 for Dota 2 or 292030 for The Witcher 3. Separate several with commas.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.