Steam Review Analysis: Game Reviews, Playtime & Sentiment

Scrape Steam game reviews by game name, store link or app id, with no login and no API key, and get a report for every game:

• Every review: full text, recommended or not, hours played at review and in total, language, helpful and funny votes, dates, Steam Deck, early access, bought on Steam or not, developer reply
• Filters: newest, recently updated or most helpful; positive or negative only; any Steam language; reviews since a date
• Report per game: Steam score and totals, reviews by month since launch, the last 30 days, hours played by happy and unhappy players, languages, OS and Steam Deck share, top complaint and praise phrases, plus price, discount, release date, developers, genres and Metacritic score

What does this Steam review scraper do?

Cities: Skylines II · Mixed · 93,580 reviews · 56% positive
 Last 30 days: 739 reviews, 70% positive (recovering)
 Unhappy players: median 36 h played before the thumbs down
 Complaints: "without mods", "performance issues", "steam workshop"
 $49.99 · Iceflake Studios, Colossal Order · Simulation

1. Enter games: names, Steam links or app ids.
2. Pick the order, positive / negative, language and how many reviews.
3. You get one row per review and one report per game.

flowchart LR
    A[Game names,<br/>links or ids] --> B[Steam store<br/>search]
    B --> C[Reviews<br/>100 per page]
    B --> D[Review history<br/>by month]
    B --> E[Price, genres,<br/>developers]
    C --> F[Report per game]
    D --> F
    E --> F

Who is it for?

• Game developers and publishers: what players complain about after a patch, and whether recent reviews are recovering
• Indie studios and marketers: what players praise in competing games before you build or pitch yours
• Market and investment analysts: review momentum by month as a proxy for sales and player interest
• Journalists and content creators: the real player verdict on a launch, by language and playtime
• Data scientists: labelled sentiment data (thumbs up or down) in 25+ languages for training and testing models

What data do you get?

Reviews (dataset, one row per review)

Field	What it tells you
game, appId, reviewId, url	The game and the review
recommended, review, reviewLength, language	Thumbs up or down, and the full text
createdAt, updatedAt, edited	When it was written and last changed
helpfulVotes, funnyVotes, helpfulnessScore, comments	How other players rated the review
hoursAtReview, hoursTotal, hoursLastTwoWeeks	How long the reviewer had played
reviewerGamesOwned, reviewerReviews	How experienced the reviewer is (no name or id)
boughtOnSteam, receivedForFree, earlyAccessReview, steamDeck, refunded	Steam's review flags
os, gpu	The reviewer's system, when Steam shows it
developerResponse, developerRespondedAt	The developer's public reply

Report (REPORTS, one per game; REPORTS_CSV as a flat sheet)

Field	What it tells you
steamScore, totalReviews, totalPositive, totalNegative, positivePercent	Steam's own score and counts
reviewsByMonth, last30DaysReviews, last30DaysPositivePercent, last3MonthsPositivePercent	Every review over time, all languages
reviewsRead, readPositivePercent, readFrom, readTo	The reviews this run read
medianHoursAtReview, medianHoursPositive, medianHoursNegative, negativeUnder2HoursPercent	Who leaves which verdict, and when
languages, operatingSystems, steamDeckPercent, earlyAccessReviewsPercent, developerRepliedPercent	Who the reviewers are
negativeTerms, positiveTerms, mostHelpfulNegative	What players complain about and praise
price, discountPercent, releaseDate, developers, publishers, genres, features, platforms, metacritic	Store details

Example: 1 November 2026

Five games, the 1,000 newest reviews each (5,000 reviews in 90 seconds):

Game	Steam score	All reviews	Positive	Last 30 days	Median hours: happy / unhappy
Hades	Overwhelmingly Positive	310,565	98%	1,551 reviews, 96%	25 / 22
Baldur's Gate 3	Overwhelmingly Positive	864,046	97%	3,732 reviews, 95%	126 / 41
Counter-Strike 2	Very Positive	9,957,945	86%	72,613 reviews, 79%	100 / 262
Cities: Skylines II	Mixed	93,580	56%	739 reviews, 70%	33 / 36
Starfield	Mixed	175,906	57%	335 reviews, 64%	83 / 29

Counter-Strike 2's unhappy players had played 262 hours (cheaters and bans are the top complaint), while Starfield's gave up after a median 29 hours, with "loading screens" and "main quest" among the top complaints.

Pricing

Pay per event:

Event	Price
Review saved	$0.0005
Game report	$0.01

1,000 reviews with a report cost $0.51. Platform usage is small: 5,000 reviews used about $0.02 of compute.

Good to know

• Speed: Steam returns 100 reviews per request and the Actor sends one request a second, so a run reads up to 6,000 reviews a minute.
• Totals and filters: totalReviews and positivePercent are Steam's own counts for your language, review type and purchase filters. reviewsByMonth and the last 30 days always cover every review in every language.
• Phrases: complaint and praise phrases are counted over the English reviews read (termsFromEnglishReviews says how many). For other languages, use the review text directly.
• Most helpful: this order covers reviews from the last helpfulDays days (up to a year). reviewsSince works with the newest-first and recently-updated orders.
• Free games have no price; isFree is true.
• No personal data: reviewer names, Steam ids, profile links and avatars are not collected.

Input

Field	Default	What it does
games	–	Game names, Steam links or app ids
maxReviewsPerGame	200	Most reviews per game (0 = report only, up to 100,000)
sort	recent	recent, updated or helpful
reviewType	all	all, positive or negative
language	all	A Steam language name, e.g. english, schinese, russian, brazilian
purchaseType	all	all, steam or other (keys bought elsewhere)
reviewsSince	–	Only reviews written on or after this date
helpfulDays	365	Days covered by the most-helpful order
country	us	Store country for prices
includeGameDetails	true	Price, genres, developers and more in each report
includeReports	true	One report per game

{
  "games": ["Starfield", "https://store.steampowered.com/app/1086940/"],
  "maxReviewsPerGame": 2000,
  "reviewType": "negative",
  "language": "english",
  "reviewsSince": "2026-10-01"
}

Integrations

Run it weekly after each patch to track sentiment, send reviews to Google Sheets, BigQuery or a sentiment model, or call it from Make, Zapier, n8n or the Apify API. The REPORTS_CSV record opens directly in any spreadsheet.

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