Steam Charts Player Count & Topsellers Scraper
Pricing
Pay per event
Steam Charts Player Count & Topsellers Scraper
Scrapes live Steam charts — most played, top sellers, wishlisted, new releases, and specials — combined with per-game concurrent player counts from the official Steam API. Returns time-stamped snapshot rows ideal for trend pipelines, launch benchmarking, and game market intelligence.
Pricing
Pay per event
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BowTiedRaccoon
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Scrape live Steam charts — most played, top sellers, new releases, specials, and coming soon — combined with per-game concurrent player counts from the official Steam API. Returns time-stamped snapshot rows ideal for trend pipelines, launch benchmarking, and game market intelligence.
All data comes from official Valve endpoints (no SteamSpy, no HTML scraping). No API key required.
Features
- Pull the top 100 most-played games ranked by peak concurrent players (weekly rollup)
- Pull top sellers, specials/discounts, new releases, and coming-soon games from the Steam storefront
- Optionally attach live concurrent player counts to every chart row via
ISteamUserStats/GetNumberOfCurrentPlayers - Filter by region/country code for region-specific top sellers and pricing
- Every row is time-stamped at the moment of the snapshot — designed for time-series pipelines
- No API key, no authentication, no proxy needed — pure Valve public endpoints
- Pay-per-event pricing at roughly $0.001 per record
Who Uses Steam Chart Data and Why
- Indie developers and publishers — track your game's chart position and wishlist rank around launch to benchmark against competitors
- Game market intelligence firms — build player-count trend databases across hundreds of titles for investment or licensing decisions
- Community managers — monitor live player counts and weekly rank changes to time announcements and updates
- Price-tracking services — capture the specials/discounts chart on a schedule to identify sale events
- Academic researchers — longitudinal player-count datasets for studying game lifecycle, churn, and seasonal patterns
How It Works
- You specify which chart types to fetch (
most_played,top_sellers,specials,new_releases,coming_soon) and optionally a region code. - The actor queries
ISteamChartsService/GetMostPlayedGamesfor the weekly most-played leaderboard, andstore.steampowered.com/api/featuredcategoriesfor storefront charts — two API calls regardless of how many games are requested. - If
includePlayerCountsis enabled, the actor fans out concurrent requests toISteamUserStats/GetNumberOfCurrentPlayers— one call per unique game — to attach live player counts. - All rows are saved with a
snapshot_tsfield, making repeated runs suitable for time-series ingestion.
Input
Get the top 15 most-played games with live player counts
{"chartTypes": ["most_played"],"maxItems": 15,"includePlayerCounts": true}
Get top sellers (US) plus specials, no player counts (faster)
{"chartTypes": ["top_sellers", "specials"],"maxItems": 30,"includePlayerCounts": false,"region": "us"}
Full snapshot — all chart types with live player counts
{"chartTypes": ["most_played", "top_sellers", "specials", "new_releases", "coming_soon"],"maxItems": 200,"includePlayerCounts": true,"region": "us"}
Coming soon games in Japan
{"chartTypes": ["coming_soon"],"maxItems": 20,"includePlayerCounts": false,"region": "jp"}
Input Fields
| Field | Type | Default | Description |
|---|---|---|---|
chartTypes | array | ["most_played", "top_sellers"] | Which charts to fetch. Options: most_played, top_sellers, specials, new_releases, coming_soon |
maxItems | integer | 100 | Maximum chart rows to return across all enabled chart types |
includePlayerCounts | boolean | true | Fetch live concurrent player counts per game (one extra API call per game) |
region | string | us | Country code for top sellers and pricing (e.g. us, gb, de, jp) |
Output Fields
Each row in the dataset represents one game on one chart at the time of the snapshot.
| Field | Type | Description |
|---|---|---|
chart_type | string | most_played, top_sellers, specials, new_releases, or coming_soon |
rank | integer | Position in the chart (1-based) |
steam_appid | integer | Steam application ID |
name | string | Game name (null for most_played — the weekly-rank API doesn't return names) |
concurrent_players | integer | Live concurrent player count (null if includePlayerCounts is false) |
peak_players_24h | integer | Peak concurrent players in the last 24h (only for most_played) |
last_week_rank | integer | Rank in the previous week; -1 means new chart entry (only for most_played) |
region | string | Country code used for this snapshot |
price_final | integer | Final price in cents, e.g. 3999 = $39.99 (storefront charts only) |
discount_percent | integer | Discount percentage, e.g. 25 (storefront charts only) |
release_date | string | Release date string (storefront charts only, if available) |
coming_soon | boolean | true for coming_soon chart entries |
genres | string | Reserved — null in current version |
header_image | string | URL of the game header image (storefront charts only) |
snapshot_ts | string | ISO 8601 timestamp when this snapshot was taken |
source_url | string | API endpoint the record was sourced from |
Notes
- The
most_playedchart returns exactly 100 entries per run (Valve's weekly rollup size). Game names are not available from this endpoint — only appids, ranks, and peak player counts. - The
top_sellers,specials,new_releases, andcoming_sooncharts come from the Steam storefront API and include names, prices, and header images. concurrent_playersis the live count at the exact moment of the API call. For consistent time-series data, run the actor on a fixed schedule (e.g., hourly or daily) and usesnapshot_tsto align rows.- Some appids (DLC, hardware bundles, non-game items) return an error from
GetNumberOfCurrentPlayers— those rows getconcurrent_players: null. - Prices are in cents (integer). Divide by 100 to get the decimal value.