游戏目录和定价采集
Use Steam endpoints to turn 游戏目录和定价采集 into repeatable API requests with documented inputs and JSON responses.
将任意公开的 Steam 商店或社区页面转化为结构化游戏数据——应用详情和定价、带评分直方图的评价分数、实时同时在线人数、成就、新闻、精选列表以及 SteamSpy 拥有量估计，均为规范化 JSON，用于游戏市场仪表盘和研究。无需凭证。
从公开的 Steam 页面提取游戏详情、评价分数、在线人数、成就、新闻、商店搜索及 SteamSpy 统计数据，转换为 JSON。
Endpoint families
6
Documented params
101
Examples
21
Live catalog snapshot
Active endpoints
21
Methods
GET
Required params
33
Schema refs
21
{
"platform": "Steam",
"endpoint": "steam-app",
"method": "GET",
"path": "/steam/app",
"auth": "apiKey"
}Ready-made datasets
Crawlora has already indexed the demand-weighted head of Steam — price, review tier, owner band, genres and community tags per game — plus a daily time series of Steam’s live charts (concurrent players, most played and top sellers). Browse the interactive studies or query them through the Datasets API.
Open the Steam games datasetUse cases
从公开的 Steam 页面提取游戏详情、评价分数、在线人数、成就、新闻、商店搜索及 SteamSpy 统计数据，转换为 JSON。
Use Steam endpoints to turn 游戏目录和定价采集 into repeatable API requests with documented inputs and JSON responses.
Use Steam endpoints to turn 评价分数和在线人数监控 into repeatable API requests with documented inputs and JSON responses.
Use Steam endpoints to turn 游戏市场和竞品研究 into repeatable API requests with documented inputs and JSON responses.
Managed execution
Every figure below is read from the live Steam endpoint catalog — 21 endpoints, 101 documented request parameters, and 21 published response schemas — the same catalog Docs and Playground run against.
21 documented Steam endpoints, grouped into 16 request families — Charts, Reviews and Search, plus 13 more.
101 request parameters are documented across those Steam endpoints, 33 of them required — the full input contract is public before you write any integration code.
21 of the 21 Steam endpoints ship a recorded example response, and 21 carry a documented response schema — you can code against the real JSON before the first request.
Steam endpoints document their error responses (400, 404 and 503) alongside the success schema, so a block, a rate limit, or a missing record comes back as a typed error rather than silently empty data.
21 hosted MCP tools back the Steam endpoints, so an agent can call the same routes with the same parameters and the same JSON contract, with no custom glue.
Coverage map
These cards are generated from the active endpoint catalog, so the landing page reflects the same API surface used by Docs and Playground.
/steam/charts/concurrent
/steam/reviews
/steam/search
/steam/tags
/steam/achievements
/steam/app
Featured endpoints
/steam/appReturns normalized store metadata for a single Steam app (title, type, price, developers/publishers, platforms, genres, categories, release date, metacritic, recommendation and achievement counts). cc selects the store region (and price currency) and l the text language. filters is a comma-separated subset of allowed fields to shrink the payload. Credential-free public Steam storefront JSON.
MCP tool steam_app
/steam/searchResolves a search term to Steam apps via the store typeahead JSON (title, appid, price, platforms, metascore). Best for title -> appid lookup; returns roughly ten results. For faceted, paginated search use /steam/search/results. Credential-free public Steam storefront JSON.
MCP tool steam_search
/steam/search/resultsRuns the Steam store search with pagination and sorting and returns the result rows (appid, title, release date, review summary, price, platforms). Supports start/count paging and sort_by. Credential-free public Steam storefront JSON.
MCP tool steam_search_results
/steam/reviewsReturns a page of user reviews for an app with cursor pagination and an aggregate query_summary (score, positive/negative totals). Aggregate totals populate only on the first page (cursor=*). Pass the returned cursor back to page. Credential-free public Steam storefront JSON.
MCP tool steam_reviews
/steam/reviews/histogramReturns the positive/negative recommendation counts over time (the store review graph): weekly/monthly rollups plus recent daily buckets. Credential-free public Steam storefront JSON.
MCP tool steam_reviews_histogram
/steam/playersReturns the official current concurrent-players count for an app. Credential-free public Steam WebAPI JSON.
MCP tool steam_players
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How to scrape Steam
Steam 通过公开的商店和社区页面暴露游戏详情、用户评价和实时在线人数。Crawlora 的 Steam 端点将其规范化为 JSON——覆盖搜索、应用详情、评价、评分直方图、在线人数、成就、新闻和 SteamSpy 统计——无需 Steamworks 密钥，也无需处理速率限制或配置代理。
某款游戏的商店详情、其用户评价和评分直方图、实时及峰值在线人数，或商店搜索。
将应用 ID 或搜索查询传给 Crawlora 的 Steam 端点（例如 /steam/app、/steam/reviews、/steam/players）。
获取标题、价格、标签、评价分数和直方图、同时在线和峰值人数、成就以及 SteamSpy 拥有量估计，均为整洁的 JSON。
将数据接入游戏市场仪表盘和 AI 流水线，或定期重新运行以跟踪评价情绪、价格变化和在线人数趋势。
FAQ
将应用 ID 发送给 Crawlora 的 /steam/reviews 端点，即可获得用户评价、评价分数和评分直方图，均为结构化 JSON，分页已为你处理好，且无需 Steamworks 密钥。请采集公开数据并遵守 Steam 的条款。
Steam 的公开 JSON 端点适合小规模任务，但存在速率限制、默认不分页，且分散在商店、社区和 SteamSpy 等多个主机上。Crawlora 将全部 12 个 Steam 端点规范化为一套统一的 JSON 格式，在大规模场景下处理分页、速率限制和代理，并作为托管 MCP 工具向 AI 智能体开放。
在遵守 Steam 使用条款、robots 指令、速率限制和适用法律的前提下，采集公开可访问的游戏、评价和在线人数数据通常是被允许的。这适用于你有权采集的公开数据。
基本没有。Valve 从未发布过官方的市场价格 API——每一个第三方价格和市场工具都依赖未文档化的端点，这些端点带有未公开且执行严格的按 IP 速率限制，频繁出现 429 错误也很常见。Steam 的评价数据是公开的，但同样未被文档化，也没有官方的批量导出方式。Crawlora 将评价、评分直方图和在线人数规范化为一套统一、文档化、支持分页的 JSON 接口。