How to Scrape Steam Reviews — Free No-Code Guide (2026)

#steam #webscraping #api #python

If you need to pull Steam Reviews data at scale and there's no clean official API, this guide shows how to export it to JSON, CSV or Excel in a couple of minutes — with no scraping code to maintain.

We'll use the Steam Reviews Scraper - Game Reviews & Sentiment, a hosted scraper on the Apify platform. You only need a free Apify token — no Steam Reviews login, no proxies, no reverse-engineering.

What data you get

Each run returns structured records with fields like:

type
appId
name
genres
priceCurrent
metacriticScore
releaseDate
recommended
reviewText
language
reviewerPlaytimeTotal
votesHelpful
timestampCreated
scrapedAt

Results are paginated automatically — you can pull thousands of rows per run and export them as JSON, CSV, Excel, JSONL or XML.

Option 1 — No code (Apify Console)

Open the actor: https://apify.com/logiover/steam-game-reviews-scraper
Click Try for free.
Leave the input empty for a broad sample, or set the fields below.
Run it, then Export the dataset as CSV/JSON/Excel.

Option 2 — Node.js

npm install steam-game-reviews-scraper

const scrape = require("steam-game-reviews-scraper");

(async () => {
  const items = await scrape({}, { token: process.env.APIFY_TOKEN });
  console.log(items.length, "results");
  console.log(items[0]);
})();

Option 3 — Python

pip install steam-game-reviews-scraper

from steam_game_reviews_scraper import scrape

items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])

Grab a free token at https://console.apify.com/account/integrations.

Input options

Field	Type	What it does
`startUrls`	array	Steam Store URLs
`appIds`	array	App IDs
`searchQueries`	array	Search Queries
`scrapeGameDetails`	boolean	Scrape Game Details
`scrapeReviews`	boolean	Scrape Reviews
`maxReviews`	integer	Max Reviews per Game
`reviewLanguage`	string	Review Language
`reviewFilter`	string	Review Sort Order
`reviewType`	string	Review Type
`maxGames`	integer	Max Games
`proxyConfiguration`	object	Proxy Configuration

Common use cases

Build a fresh Steam Reviews dataset for analysis or dashboards
Feed Steam Reviews records into your own app, CRM or spreadsheet
Monitor changes on a schedule and get alerts via webhooks
Enrich leads or research with up-to-date Steam Reviews data

Automation & export

Because it runs on Apify, you can schedule it, trigger it via webhook, and pipe results into Google Sheets, S3, Zapier, Make or n8n. Every run's dataset is downloadable as CSV, JSON, JSONL, Excel or XML.