You can access the Steam Reviews Scraper — Exact Date Windows, No Key programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "appIds": ["570"],
10    "onlyReviewsAfter": "",
11    "onlyReviewsBefore": "",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("memo23/steam-reviews-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Steam Reviews Scraper API in Python

The Apify API client for Python is the official library that allows you to use Steam Reviews Scraper — Exact Date Windows, No Key API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Steam Reviews Scraper — Exact Date Windows, No Key API in JavaScript

Steam Reviews Scraper — Exact Date Windows, No Key API through CLI

Steam Reviews Scraper — Exact Date Windows, No Key OpenAPI definition

Steam Reviews Scraper — Exact Date Windows, No Key API

Steam Reviews Scraper

alleserojje/steam-reviews-scraper

Scrape Steam game reviews and the positive/negative summary via Steam's official API — rating, playtime, author, sentiment. No key. Pay per review.

Pedro Resende

Steam Game & Reviews Scraper

seemuapps/steam-game-reviews-scraper

Extract Steam game details, pricing, player ratings, and full user reviews for any title by app ID or store URL. No login required.

Andrew

Steam Reviews Scraper

straightforward_hydra/steam-reviews-scraper

Scrape reviews for any Steam game: recommendation (thumbs up/down), text, playtime, helpfulness, author and dates, by app ID or game name. Official Steam API, no key needed.

Dev D

Steam Game Reviews Scraper

literate_universe/steam-reviews-scraper

Scrape Steam user reviews for any game by app ID: review text, recommended or not, playtime, helpful votes, language, purchase type and dates, plus the review score summary. Public JSON endpoint, no login.

John Rutherford

Steam Reviews

scraped/steam-reviews

Scrape reviews from Steam

scraped

Steam Reviews Scraper

foo121/steam-reviews-scraper

Export Steam game reviews by App ID with full author detail — persona name, profile URL, avatar, games owned, and playtime at review — plus the per-game review-score summary. Public Steam API, no key, no proxy.

ziv shay

Steam Reviews Scraper - Game Reviews & Sentiment

logiover/steam-game-reviews-scraper

Steam reviews scraper & API alternative. Scrape Steam game reviews without login, export to CSV/JSON dataset with sentiment and Metacritic data.

Logiover

Steam Reviews Scraper

sync-network/steam-reviews-scraper

Scrape user reviews from the Steam Store for any game by app ID or name. Extracts playtime, ratings, review text, and full game metadata. No proxy or authentication needed.

Alam

Steam Game Reviews Scraper

scrapers_lat/steam-game-reviews-scraper

Scrape Steam game reviews by app ID or game name. Filter by review type, language, purchase type and recency, and export author, playtime, review text, votes, weighted score, timestamps and a per-app review summary. Export to JSON, CSV or Excel.

Scrapers Lat

Steam Game Reviews Scraper

v0iddo/steam-game-reviews

Scrape Steam player reviews by App ID. Returns review text, recommendation, playtime, helpful votes, language, purchase type and timestamps for sentiment analysis and competitor research on PC game titles.