Steam Reviews Scraper - Game Reviews & Sentiment
Steam Reviews Scraper - Game Reviews & Sentiment — a Python client for the Apify Actor. Pull Steam Reviews data at scale with no API-key hassle: thousands of clean, structured results you can export to JSON, CSV or Excel.
▶️ Run it on Apify: https://apify.com/logiover/steam-game-reviews-scraper
Install
pip install steam-game-reviews-scraper
Usage
from steam_game_reviews_scraper import scrape
items = scrape({}, token="YOUR_APIFY_TOKEN")
print(len(items), "results")
print(items[0])
Get your free Apify token at https://console.apify.com/account/integrations.
Input
| Field | Type | Description |
|---|---|---|
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 |
All fields optional — run with empty input {} for a broad default result set.
Output
Each result item includes fields such as: type, appId, name, genres, priceCurrent, metacriticScore, releaseDate, recommended, reviewText, language, reviewerPlaytimeTotal, votesHelpful, timestampCreated, scrapedAt, gameName, url, gameUrl, gameType, shortDescription, isFree.
Why use this
- ⚡ Thousands of results per run, auto-paginated
- 🔑 No Steam Reviews login or reverse-engineering — just call the Actor
- 📦 Export to JSON, CSV, Excel, JSONL, XML
- ☁️ Runs on Apify cloud — schedule it, add webhooks, wire into Make / Zapier / n8n
FAQ
Do I need an API key?
Only a free Apify token (grab one at https://console.apify.com/account/integrations). No Steam Reviews login and no scraping setup on your side.
How many results can I get?
Thousands per run. Raise the limit in the input to pull more — the Actor paginates for you.
What export formats are supported?
Results are plain JSON in code; from the Apify dataset you can export CSV, Excel, JSON, JSONL or XML.
Is this an official Steam Reviews API?
No. It is an unofficial Steam Reviews data client on the Apify platform — a maintained alternative when there is no official or affordable API.
Links
- ▶️ Run the Actor: https://apify.com/logiover/steam-game-reviews-scraper
- 📚 Docs & examples: https://github.com/logiover/steam-game-reviews-scraper
- 🧰 More scrapers by logiover: https://apify.com/logiover
MIT © 2026 logiover · Client library for the hosted Apify Actor. Not affiliated with Steam Reviews.
1 maintainer
Release files for steam-game-reviews-scraper 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| steam_game_reviews_scraper-1.0.0.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| steam_game_reviews_scraper-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / steam_game_reviews_scraper-1.0.0.tar.gz
| Download URL | steam_game_reviews_scraper-1.0.0.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
Release files / steam_game_reviews_scraper-1.0.0-py3-none-any.whl
| Download URL | steam_game_reviews_scraper-1.0.0-py3-none-any.whl |
|---|---|
| Size | 4.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.6
|
