Steam Games Scraper

Scrape Steam games using public, no-key endpoints — no login, no API key. Three modes, normalized JSON output, charged per successful row only.

Pricing

$2.00 per 1,000 rows ($0.002 each), with no run-start fee. Flat rate — no volume tiers, no plan gates — and you are charged only for rows actually returned. Every diagnostic row (ok:false) is free, so a search that finds nothing, a bad app id, or a rate-limited request costs you nothing at all.

That is the whole price list. There is no second charge event, no per-request fee, no monthly minimum and no compute surcharge on top: the $0.002 per row you see here is what appears on your Apify invoice.

Modes

Mode	Needs	Returns
search	query (game name)	{ appId, name, icon }
app	appIds (numeric ids)	full store details + SteamSpy stats
reviews	appIds (numeric ids)	recent player reviews

Input

Field	Type	Default	Notes
mode	string	search	search | app | reviews
query	string	—	game name (search mode), e.g. portal or counter strike
appIds	array of numeric ids	—	e.g. ["400","620"] (app/reviews modes)
maxItems	integer	50	max output rows, 1–1000. Charged per successful row only
notionConnector	string	—	optional. Authorize a Notion MCP connector once in Settings → API & Integrations, pick it here, and each row is written into Notion when the run finishes
notionParentId	string	—	optional. Notion data source ID to write into; leave empty to create the pages privately in your workspace
proxyConfiguration	object	{ "useApifyProxy": false }	optional; the APIs are public so a proxy is usually unnecessary, and the default routes traffic directly so you spend no proxy credits

Typical flow: run search to find app ids, then app and/or reviews with those ids.

Output

search → { appId, name, icon }

app → { appId, name, type, isFree, price, discountPct, developers, publishers, genres, categories, releaseDate, metacriticScore, recommendations, owners, positiveReviews, negativeReviews, shortDescription, headerImage, platforms, url }

reviews → { appId, reviewId, review, votedUp, votesUp, playtimeForeverMin, gamesOwned, createdAt, url }

url is always https://store.steampowered.com/app/{appId}. Successful rows are flagged ok:true. Failures/empty results are pushed as ok:false diagnostic rows (errorCode of BAD_INPUT / NO_RESULTS / NOT_FOUND / RATE_LIMITED / NETWORK) and are never charged.

What you can do with it

• Price and discount tracking — app mode returns price and discountPct, so a scheduled run gives you a discount history per title.
• Competitive research — genres, categories, developers, publishers and releaseDate on every row, ready for a spreadsheet or a dashboard.
• Sentiment and reception — metacriticScore and recommendations from the store, positiveReviews / negativeReviews and owners from SteamSpy, and the actual review text from reviews mode.
• Player-review mining — each review row carries playtimeForeverMin and gamesOwned for the reviewer, so you can weight opinions by how much they actually played.

Data sources

• Name search — steamcommunity.com/actions/SearchApps
• App details — store.steampowered.com/api/appdetails
• Owner/review stats — steamspy.com/api.php
• Reviews — store.steampowered.com/appreviews (cursor-paginated)

All four are public, unauthenticated JSON endpoints. Nothing here needs a Steam account, a Steam Web API key, or a browser.