Steam Game Reviews Scraper
Pricing
$1.00 / 1,000 result scrapeds
Steam Game Reviews Scraper
Collect real player reviews for any Steam game: text, verdict, hours played, votes and Steam purchaser flag, newest first. No account, no login.
Pricing
$1.00 / 1,000 result scrapeds
Rating
0.0
(0)
Developer
Hamza
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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Collect real player reviews for any Steam game: text, verdict, hours played, votes and Steam purchaser flag, newest first. Paste your inputs and each one comes back complete as a structured row. No account and no login are needed, and reads are direct and fast — no browser, nothing signed in.
What you can do with it
- Hear players in their own words. Read what reviewers praise and complain about after a patch or launch.
- Score sentiment at scale. Push review text into your own sentiment pipeline with hours-played context attached.
- Watch reception over time. Re-run on a schedule and track how the recommendation ratio moves.
- Feed a dashboard or spreadsheet. Every field is a plain column — export to Excel, Google Sheets, CSV or JSON in one click.
What you get
One row per result. Abridged real example:
{"reviewId": "187000001","appId": "730","gameScoreLabel": "Overwhelmingly Positive","content": "Best tactical shooter ever made. Runs great.","positive": true,"date": "2024-07-03T09:46:40.000Z"}
Each row carries a reviewId for deduping across runs.
Input
gameUrls— Steam store links or bare numeric app IDs. Up to 50 games per run.maxReviews— Upper bound of reviews per game rows kept per run (up to 1000).filter— Which review set to read.language— Review language (e.g. all, english, german). Use all for every language.maxConcurrency— How many items to read at the same time. Higher is faster; lower is gentler on the source.proxyCountry— Two-letter region code for routing reads (e.g. us, gb, de). Leave as us unless results look regionally wrong.
Output
Results land in the default dataset, one clean record per row, plus a run
summary in the key-value store (OUTPUT) with per-input counts and any
items that could not be read. Export to Excel, Google Sheets, CSV or JSON
in one click.