Steam Reviews API — Reviews & Game Details
Pricing
from $0.18 / 1,000 review returneds
Scrape Steam user reviews as data. One row per review: text, recommended or not, playtime, helpful and funny votes, author, dates. Plus a game row with price, genres, platforms, Metacritic and the review-score summary. By store URL, app ID or game name. No API key, no login.
You can access the Steam Reviews API — Reviews & Game Details 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "apps": ["https://store.steampowered.com/app/413150/Stardew_Valley/"],10 "maxReviewsPerApp": 100,11 "filter": "recent",12 "language": "all",13 "reviewType": "all",14 "purchaseType": "all",15 "dayRange": 0,16 "includeGameDetails": True,17 "country": "us",18 "proxyConfiguration": { "useApifyProxy": True },19}20
21# Run the Actor and wait for it to finish22run = client.actor("insight.solutions/steam-reviews-api").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")26for item in client.dataset(run.default_dataset_id).iterate_items():27 print(item)28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Steam Reviews API — Reviews & Game Details API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: