Steam Game Data Scraper — Global Pricing, Reviews & Metadata

Scrape Steam game data across 60 countries in a single run — regional pricing, user reviews, Metacritic scores, genres, and metadata. An affordable, export-first alternative to SteamDB and Gamalytic — pipe results straight into your spreadsheet, database, or BI tool.

✨ What does this scraper do?

This Actor returns Steam game listings filtered by tag (genre), enriched with regional pricing across up to 60 countries — delivered as a flat table ready for Google Sheets, BigQuery, or any CSV tool.

Feature	Details
🏷️ Browse by tag	27 popular tags — Roguelike, Action, Indie, RPG, Souls-like, and more
🌍 60 countries	US, Japan, Germany, UK, Brazil, India, and more — one row per game × country
💲 Regional pricing	Current price, original price, discount %, and currency per country
⭐ User reviews	Total reviews, positive %, and summary (e.g. "Very Positive")
🎮 Metadata	Platforms, release date, tags, store URL, header image
🧩 Optional enrichment	Developer, publisher, Metacritic, genres, description, screenshots
🔍 Filters & sort	Min reviews, max price (USD), sort by Top Sellers / Release Date / etc.
⚡ Zero config	Pick a tag, click Start — sensible defaults everywhere

Zero-config start

Click Start with default settings — you'll immediately get the Top 100 Roguelike games in the US, fully enriched with pricing, reviews, and metadata.

💰 Cost comparison

Feature	SteamDB	Gamalytic	This Actor
💳 No monthly commitment	✅ (free)	❌ subscription	✅
📤 Bulk export (CSV / JSON / Excel)	❌ view only	✅	✅
🔗 Google Sheets / BigQuery sync	❌	❌	✅
⏰ Automated scheduling	❌	❌	✅
Score	1 / 4	1 / 4	4 / 4

Plus, this Actor delivers multi-country pricing across 60 regions in a single run — the same global coverage as Gamalytic and SteamDB, without their subscription or web-only limitations.

For users who need structured, exportable Steam data — not real-time sales estimates or revenue models — this Actor delivers catalog, pricing, and review data without a seat-based subscription, starting from ~$0.30 per run.

🎯 Use cases

• Indie developers — Track competitor pricing, discount patterns, and review momentum across your genre to price your own game confidently.
• Publishers — Benchmark regional pricing strategies (US vs JP vs BR) for localization and launch planning.
• Market researchers — Analyze genre trends, review distributions, and price tiers with structured, timestamped data.
• Steam key resellers & deal sites — Monitor discount rotations and currency-adjusted pricing across markets.
• Data journalists — Build stories on platform economics (price parity, regional discounting, indie vs AAA review gaps).

📖 How to use

Step 1: Configure input

1. Tags — Pick one or more genres (multiple = AND filter). Default: Roguelike.
2. Countries — Choose regions for pricing. Default: US. Each country adds one row per game.
3. Max games — 1 to 10,000. Default: 100.
4. Sort by (optional) — Relevance / Release Date / User Reviews / Top Sellers / Name.
5. Enriched fields (optional) — Toggle on for developer, publisher, Metacritic, genres, description, screenshots.
6. Filters (optional) — Minimum reviews, Max price (USD).

Step 2: Run

Click Start. Runtime scales with games × countries and enrichment toggle.

Step 3: Export

Download as CSV, JSON, Excel, or auto-sync to Google Sheets / BigQuery / a webhook via Apify integrations.

Input example: Compare Roguelike pricing across JP / US / BR

{
  "tags": ["Roguelike"],
  "countryCodes": ["us", "jp", "br"],
  "maxResults": 50,
  "sortBy": "Top Sellers",
  "includeEnrichedFields": true,
  "minReviews": 500
}

This produces: 50 games × 3 countries = 150 rows with full enrichment — ready to analyze regional discount spreads and pricing parity.

📊 Output

Each row represents one game in one country. The flat structure is ideal for pivot tables, time-series tracking, and direct import into analytical tools.

Field	Type	Description	Example
appId	integer	Steam App ID	1245620
name	string	Game title	"ELDEN RING"
headerImage	string	Header image URL	"https://cdn.cloudflare.steamstatic.com/..."
storeUrl	string	Steam store page URL	"https://store.steampowered.com/app/1245620/"
countryCode	string	ISO country code (lower)	"jp"
price	string | null	Displayed price (Free → "Free")	"¥9,020"
priceRaw	integer | null	Price × 100 (Steam convention, currency-adjusted)	902000
priceOriginal	string	Pre-discount price (= price when no discount)	"¥9,020"
priceOriginalRaw	integer	Pre-discount raw value (= priceRaw when no discount)	902000
currency	string	ISO 4217 currency code	"JPY"
discountPercent	integer	Discount % (0 if not on sale)	33
reviewScoreDesc	string	Review summary (e.g. "Very Positive", or "No user reviews")	"Very Positive"
reviewScorePercent	integer | null	Positive review %	95
totalReviews	integer	Total user review count	812411
releaseDate	string	ISO date (YYYY-MM-DD), or original string if unparseable (e.g. "Coming soon")	"2022-02-24"
platforms	object	{ windows, mac, linux } booleans	{"windows": true, "mac": false, "linux": false}
tagIds	integer[]	Steam tag IDs	[1716, 9]
tagNames	string[]	Human-readable tag names	["Roguelike", "Souls-like"]
developer	string | null	(enriched) Developer name	"FromSoftware Inc."
publisher	string | null	(enriched) Publisher name	"Bandai Namco Entertainment"
genres	string[]	(enriched) Official Steam genres	["Action", "RPG"]
metacriticScore	integer | null	(enriched) Metacritic score (only for reviewed titles)	94
shortDescription	string | null	(enriched) Steam short description	"THE CRITICALLY ACCLAIMED..."
screenshots	string[]	(enriched) Screenshot URLs	["https://cdn/...1.jpg", ...]
scrapedAt	string	UTC timestamp (ISO 8601)	"2026-04-15T12:00:00.000Z"

Enriched fields (marked (enriched)) only populate when Include enriched fields is ON.

Output example (Roguelike, Japan, on sale)

{
  "appId": 646570,
  "name": "Slay the Spire",
  "headerImage": "https://cdn.cloudflare.steamstatic.com/steam/apps/646570/header.jpg",
  "storeUrl": "https://store.steampowered.com/app/646570/",
  "countryCode": "jp",
  "price": "¥1,650",
  "priceRaw": 165000,
  "priceOriginal": "¥3,300",
  "priceOriginalRaw": 330000,
  "currency": "JPY",
  "discountPercent": 50,
  "reviewScoreDesc": "Overwhelmingly Positive",
  "reviewScorePercent": 96,
  "totalReviews": 108742,
  "releaseDate": "2019-01-23",
  "platforms": { "windows": true, "mac": true, "linux": true },
  "tagIds": [1716, 3859],
  "tagNames": ["Roguelike", "Deckbuilding"],
  "developer": "Mega Crit",
  "publisher": "Mega Crit",
  "genres": ["Indie", "Strategy"],
  "metacriticScore": 89,
  "shortDescription": "We fused card games and roguelikes together to make the best single player deckbuilder we could.",
  "screenshots": ["https://cdn.cloudflare.steamstatic.com/..."],
  "scrapedAt": "2026-04-15T12:00:00.000Z"
}

📅 Daily scheduling for trend tracking

This Actor is optimized for daily scheduled runs. Set up an Apify Schedule to build a historical pricing and review dataset.

Recommended workflow:

1. Configure your target tags, countries, and filters
2. Set a daily schedule (e.g. 09:00 UTC)
3. Connect a Google Sheets or BigQuery integration
4. Track discount cycles, review momentum, and regional pricing shifts over weeks and months

💵 Pricing

This Actor uses pay-per-event pricing — you pay only for the rows you extract.

Event	Charge	Description
Game data row	$0.003	One game entry per country (price, reviews, metadata)

Cost examples

Use case	Configuration	Rows	Cost / run	Monthly (daily)
🟢 Light	Roguelike, US only, Top 100	100	~$0.30	~$9
🔵 Standard	Roguelike, 3 countries, Top 100	300	~$0.90	~$27
🟣 Full catalog sweep	3 tags, 10 countries, 1,000 games	10,000	~$30	—

With Apify's free tier ($5 credit), you can run the Standard daily schedule for ~5 days — or the Light setup for ~16 days — completely free.

🏷️ Supported tags (27)

Multiple tags apply an AND filter — a game must match all selected tags to appear.

🌍 Supported countries (60)

💡 Notes & tips

• Regional result differences: Steam ranks tag-search results per country, so selecting multiple countries may return partially different game sets — a title popular in Japan may not appear in the US top results. Raise Max games to improve overlap.
• Metacritic sparseness: Metacritic scores only populate for titles actually reviewed by Metacritic (mostly AAA). Indie titles will show metacriticScore: null — this is not a scraper issue; Steam has no Metacritic data for those games.
• Free-to-play: price displays "Free" and priceRaw is 0.
• No discount: priceOriginal equals price (not empty) — easy to compare without null handling.
• No reviews yet: reviewScoreDesc shows "No user reviews" instead of null.
• Max price filter: Applied per game using the base USD price (not per country). If a game passes the filter, rows for all selected countries are returned — regardless of each country's local price.
• No price data: For some titles (unreleased, region-locked, or delisted) Steam returns no price. In those rows price, priceRaw, priceOriginal, and priceOriginalRaw are all null.

⚙️ Technical details

Aspect	Details
Data freshness	Real-time — data is fetched directly from Steam at the time of each run
Error handling	Partial failure tolerance — a failure on one game or country does not abort the run; successful rows are saved
Memory	256–2048 MB (default: 512 MB)
Proxy support	Optional Apify proxy for large-scale runs

📬 Feedback & support

Have a feature request, need another tag or country added, or hit an issue? Open an issue on the Actor's page in Apify Console — we'd love to hear from you.