Cyberpunk 2077 Steam Reviews as Structured Rows
Recent reviews for app 1091500 with the review text, thumbs up or down, playtime and date posted. Reviewer names are not part of the row.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Mode | reviews | What to scrape. |
App IDs (app / reviews modes) | 1091500 | List of numeric Steam app ids to fetch in "app" or "reviews" mode, e.g. ["400","620"] (Portal, Portal 2). |
Max items | 200 | Maximum number of output rows to return (apps in search mode, app rows in app mode, reviews total in reviews mode). |
Pricing
$0.002 per item = $2 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Item returned | Charged per game/result returned. | $0.002 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-13, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
appIdcategoriescreatedAtdevelopersdiscountPctgamesOwnedgenresheaderImageiconisFreemetacriticScorenamenegativeReviewsownerspriceurlExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Steam Games Scraper
Built on Steam Games Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Media & Entertainment Data
- Platforms
- Steam