Pricing

$1.00 / 1,000 result items

Steam Reviews Scraper

Export Steam game reviews by App ID with full author detail — persona name, profile URL, avatar, games owned, and playtime at review — plus the per-game review-score summary. Public Steam API, no key, no proxy.

Pricing

$1.00 / 1,000 result items

Rating

0.0

(0)

Developer

ziv shay

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

What you get (one review per result)

Field	Description
`appId`, `gameName`	Steam App ID and resolved game name
`voteUp`	`true` = Recommended, `false` = Not Recommended
`review`	Full review text
`votesUp`, `votesFunny`, `weightedVoteScore`, `commentCount`	Community engagement signals
`language`	Review language
`steamPurchase`, `receivedForFree`, `earlyAccess`, `primarilySteamDeck`	Provenance flags
`createdAt`, `updatedAt`	ISO timestamps
`authorSteamId`, `authorName`, `authorProfileUrl`, `authorAvatar`	Author identity
`authorNumGamesOwned`, `authorNumReviews`	Author reputation
`authorPlaytimeForever`, `authorPlaytimeAtReview`, `authorPlaytimeLast2Weeks`	Playtime (minutes) — credibility signal
`reviewUrl`	Link back to the review

Example input

{
  "appIds": ["570", "730"],
  "language": "english",
  "reviewType": "all",
  "filter": "recent",
  "maxItemsPerApp": 1000
}

Example output (1 row)

{
  "appId": "570",
  "gameName": "Dota 2",
  "voteUp": false,
  "review": "constantly crashing after the last patch",
  "votesUp": 3,
  "language": "english",
  "authorName": "Ben",
  "authorPlaytimeAtReview": 12480,
  "authorNumGamesOwned": 214,
  "createdAt": "2026-06-19T11:02:13.000Z",
  "reviewUrl": "https://steamcommunity.com/profiles/7656.../recommended/570/"
}

Use cases

Game studios / publishers — track player sentiment after a patch or launch.
Market researchers — competitive reception analysis across titles.
Store-page / ASO — mine common praise/complaints for copy and roadmap.
ML / sentiment datasets — labelled reviews with playtime-weighted credibility.

Why this one

Most Steam-review actors return the bare review text and a thumbs-up flag. This actor ships the full author panel — including authorPlaytimeAtReview, the single strongest signal of whether a review came from someone who actually played the game — alongside the per-game review-score summary, all from a public source with no key and no proxy. Multi-app batch in one run; cursor pagination handles long histories.

How it works

Calls store.steampowered.com/appreviews/<appid>?json=1 with cursor pagination, resolving the game name via the public appdetails endpoint. One review per dataset item (pay-per-result).

Keywords: steam reviews scraper, steam review api, steam game reviews, steam sentiment, steam player feedback, steam store reviews export.

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