Steam game reviews scraper in n8n
Pull Steam customer reviews for any game by URL or name, with thumbs up/down verdicts, reviewer playtime, helpfulness votes, and language filters.
What this workflow does
Import it and n8n runs the Steam Game Reviews & Playtime Extractor Actor on Apify every day at 08:00 with the starter input below. Each row comes back with game, rating, review, author and 9 more. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.
Read from the workflow file, built for Steam Game Reviews & Playtime Extractor version 1.0.2. Updated 2026-11-14.How the rows travel
6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.
- Daily trigger Schedule trigger
- Configure input Code
- Run Apify Actor HTTP Request
- Normalize + dedupe Code
- Rows ready No operation
- Google Sheets (optional) Google Sheets, off until you switch it on
From the Short
This workflow is the one the video points to: the number in each video opens this page.
Input
The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.
{
"startUrls": [
{
"url": "https://store.steampowered.com/app/1174180/Red_Dead_Redemption_2/"
}
],
"maxReviews": 25,
"mode": "reviews"
}| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | reviews | reviews = one row per review; gameSummary = one row per game with metadata and overall score. One of: reviews, gameSummary. |
| appIds | array | No | – | Numeric app IDs, store URLs, community review URLs, or old appreviews URLs. Example: 1174180 or https://store.steampowered.com/app/1174180/ |
| startUrls | array | No | – | Steam store page URLs for the games to scrape. Merged with appIds. |
| gameNames | array | No | – | Search Steam by name. An exact case-insensitive title match is preferred over the first search result. |
| maxReviews | integer | No | 50 | Reviews to collect per game. Use 0 for every matching review (hard safety cap 1,000,000 per game). |
| maxGames | integer | No | 0 | Cap the merged game list. Use 0 for no cap. |
| reviewType | string | No | all | Filter reviews by recommendation verdict. One of: all, positive, negative. |
| language | string | No | all | Steam language code for review text. Select All Languages to include every language. 30 choices. |
| sortBy | string | No | recent | recent and updated walk the full history; helpful is a ranked sample inside the helpfulness window; funny is also ranked and not exhaustive. One of: recent, helpful, updated, funny. |
| helpfulWithinDays | integer | No | 30 | Only for sortBy=helpful: rank reviews from the last 1-365 days. Use recent for full history. |
| purchaseType | string | No | all | Whether the reviewer acquired the game through Steam, outside Steam, or either. One of: all, steam, nonSteamPurchase. |
| minPlaytimeHours | integer | No | 0 | Minimum hours played at the time of review. Use 0 for no minimum. |
| maxPlaytimeHours | integer | No | 0 | Maximum hours played at the time of review. Use 0 for no maximum. |
| steamDeckOnly | boolean | No | false | Only reviews written while playing primarily on a Steam Deck. |
| includeOffTopic | boolean | No | false | Include reviews Steam hides as off-topic review-bomb activity. Off by default, matching the store. |
| useReviewQuality | boolean | No | true | Only for sortBy=helpful: rank low-quality reviews lower. |
| reviewsFromDate | string | No | – | Include reviews created on or after this UTC date. |
| reviewsToDate | string | No | – | Include reviews created on or before this UTC date. |
| includeGameDetails | boolean | No | false | mode=reviews: attach game metadata, price and overall review summary to every review row. |
What each row holds
Every field the Actor returns stays in the row (13 in its dataset schema). Normalize + dedupe trims text, drops empty fields and adds _source and _scrapedAt. The main fields:
| Field | What it is |
|---|---|
| gameTitle | Game |
| rating | Rating |
| reviewText | Review |
| authorName | Author |
| authorSteamId | Author ID |
| authorPlaytimeForever | Playtime (hrs) |
| votesHelpful | Helpful Votes |
| timestampCreated | Date |
| language | Language |
| steamPurchase | Steam Purchase |
| primarilySteamDeck | Steam Deck |
What the first run costs
Each run starts at $0.40 on the Free plan (4 GB of memory), then $0.99 per 1,000 results, plus platform usage.
The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.
The Actor behind it
Steam Game Reviews & Playtime Extractor: Pull Steam customer reviews for any game by URL or name, with thumbs up/down verdicts, reviewer playtime, helpfulness votes, and language filters.
The same job from an AI agent
The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:
npx skills add https://scraperfinder.com --skill steam-game-reviews-and-playtime-extractor The steam game reviews scraper skill, with manual install and run steps
Questions people ask
How do I import this workflow into n8n?
Copy https://scraperfinder.com/n8n/steam-game-reviews-and-playtime-extractor.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.
Do I need an Apify account?
Yes. The workflow calls the Steam Game Reviews & Playtime Extractor Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.
What does a run cost?
Each run starts at $0.40 on the Free plan (4 GB of memory), then $0.99 per 1,000 results, plus platform usage. The Actor's Store page shows the current price.
Can I change what it collects?
Yes: edit the input object in the Configure input node. The Actor takes 19 settings; the table on this page lists each one with its default. Raise maxReviews once the first rows look right.
Does it work without Google Sheets?
Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.
Workflow updated 2026-11-14