Steam Reviews Scraper — Playtime, Votes, Languages, No Login

Get the reviews of any Steam game — by store URL, app ID or just the game's name — with the reviewer's playtime, helpful and funny votes, purchase type, language and Steam Deck flag, plus the game's price, genres, Metacritic and overall Steam score on every row. Newest first, recently updated, or Steam's "most helpful" ranking; positive-only or negative-only; per language. JSON, CSV, Excel or API.

Uses Steam's public review endpoint: exact data, no login, no proxies.

Why this Actor

• Games by store URL, app ID or just the name
• Reviewer playtime (total and at review time), helpful and funny votes, purchase type, language, Steam Deck flag
• Game price, genres, Metacritic and Steam's overall score on every row
• Newest, recently updated or most helpful; positive-only or negative-only
• Checked every day by an automated run

Sample output

One item of the dataset (long values shortened):

{
  "gameName": "Dota 2",
  "reviewScoreDesc": "Very Positive",
  "totalReviews": 839203,
  "reviewId": "235717536",
  "language": "english",
  "recommended": true,
  "text": "adictivo xd",
  "createdAt": "2026-09-20T20:00:53.000Z",
  "votesHelpful": 0,
  "author": {
    "steamId": "76561199473778746",
    "name": "Please, please, please",
    "profileUrl": "https://steamcommunity.com/profiles/76561199473778746/",
    "gamesOwned": 30,
    "reviewsWritten": 11,
    "playtimeHours": 52.9,
    "playtimeAtReviewHours": 52.9,
    "playtimeLastTwoWeeksHours": 41.1
  },
  "url": "https://steamcommunity.com/profiles/76561199473778746/recommended/570"
}

What you get

Field	Description
appId, gameName, gameUrl, developers, publishers, releaseDate, genres, price, currency, isFree, metacritic	The game
reviewScore, reviewScoreDesc, totalPositive, totalNegative, totalReviews	Steam's overall verdict at scrape time
reviewId, url, language, recommended, text, createdAt, updatedAt	The review
votesHelpful, votesFunny, helpfulnessScore, commentCount	Community reaction
steamPurchase, receivedForFree, earlyAccess, steamDeck, refunded	Context flags
author	Steam ID, name, profile URL, games owned, reviews written, playtime (total, at review, last two weeks), last played

A per-game summary (name, total reviews on Steam, reviews fetched, errors) is saved as SUMMARY.

Input

• Games — URLs, app IDs or names (resolved through Steam search).
• Max reviews per game, Language (all or a Steam language name), Order (newest / recently updated / most helpful), Review type (all / positive / negative), Purchase type, Only reviews newer than, Store country (for the price).

Limits and notes

• "Most helpful" order covers the last 365 days (Steam's all filter); newest and updated orders reach the whole history.
• Steam paginates with cursors; very large games (millions of reviews) simply take longer — about 100 reviews per request.
• Public data only; the Actor stores nothing beyond the dataset of your run.

Input example

{
  "games": [
    "https://store.steampowered.com/app/413150/Stardew_Valley/"
  ],
  "maxReviewsPerGame": 500,
  "language": "english",
  "filter": "recent",
  "reviewType": "all",
  "purchaseType": "all",
  "country": "us"
}

How much does it cost?

Pay per review — no subscription, no minimum, no charge for platform usage.

Volume	Price
1,000 reviews	$0.50
10,000 reviews	$5.00
100,000 reviews	$50.00

The Apify free plan includes $5 of usage every month — about 10,000 reviews with this Actor, no card needed. Nothing else is charged: platform usage is included in the price, and Apify Bronze, Silver and Gold subscribers get 10%, 20% and 30% off these prices.

Use it from code, n8n, Make, Zapier or an AI agent

Run the Actor and download the dataset in one call (JSON by default; add &format=csv or xlsx):

curl -X POST "https://api.apify.com/v2/acts/chorelet~steam-reviews-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"games": ["https://store.steampowered.com/app/413150/Stardew_Valley/"], "maxReviewsPerGame": 500, "language": "english", "filter": "recent", "reviewType": "all", "purchaseType": "all", "country": "us"}'

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("chorelet/steam-reviews-scraper").call(run_input={"games": ["https://store.steampowered.com/app/413150/Stardew_Valley/"], "maxReviewsPerGame": 500, "language": "english", "filter": "recent", "reviewType": "all", "purchaseType": "all", "country": "us"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

• n8n, Make, Zapier — use the Apify node/module: run the Actor, then "get dataset items".
• Google Sheets, Slack, webhooks — add an integration on the run's Integrations tab.
• AI agents — the Actor is available as a tool through the Apify MCP server; the dataset schema describes every field for the model.
• Schedules — run it hourly, daily or weekly from the Schedules tab.

FAQ

How many reviews can I get per game?

All of them — Steam paginates with cursors, about 100 reviews per request. Games with millions of reviews simply take longer.

Can I get only negative reviews?

Yes — reviewType: negative (or positive). Combine with postedAfter to see what changed after an update.

Which languages are supported?

all or any Steam language name (english, german, schinese, japanese, brazilian…).

Is the reviewer's playtime included?

Yes — total playtime, playtime at the time of the review and in the last two weeks, in hours.

What does a run cost?

$0.50 per 1,000 reviews. The free plan's $5 a month covers about 10,000 reviews.

Support

Questions, missing fields or a source that changed? Open an issue on the Issues tab or write to support@chorelet.app — problems are usually fixed within a day, and the Actor is checked every morning by an automated test run. If the Actor saved you time, a short review on its Store page helps other people find it.