Steam Reviews Scraper 🎮

Scrape Steam game reviews at scale — recommendation rating, full review text, playtime hours, helpful/funny votes, purchase type and language — as clean, flat JSON. No API key. No login. Datacenter-proxy friendly.

Point it at one or more Steam App IDs (the number in a store URL, e.g. 570 = Dota 2, 730 = Counter-Strike 2) and get structured review data ready for analysis, dashboards or ML.

---

✨ Why this actor

• No API key, no cookies — uses Steam's public store review endpoint.
• Cheap — priced to undercut everyone at ~$0.50 / 1,000 reviews.
• Rich per-review fields — rating, text, playtime (hours), votes, weighted helpfulness, Steam-purchase & received-free flags, language, ISO date.
• Robust — Chrome impersonation + urllib fallback, cursor pagination, de-duplication, fail-loud on empty results.
• Clean schema — every field nullable, tidy dataset views, export to JSON/CSV/Excel.

---

💸 Pricing

Pay-per-result at roughly $0.50 per 1,000 reviews — one of the cheapest Steam review scrapers on the store. Scrape a full sentiment sample for pennies.

---

🚀 Input

{
  "mode": "reviews",
  "appIds": ["570", "730"],
  "filter": "recent",
  "language": "all",
  "maxItems": 200
}

Field	Type	Default	Description
mode	select	reviews	What to scrape (reviews).
appIds	array	["570","730"]	Steam App IDs — the number in store.steampowered.com/app/<ID>.
filter	select	recent	recent, updated, or all (helpfulness ranking).
language	string	all	Steam language code (english, german, schinese, …) or all.
maxItems	integer	200	Max total reviews across all apps (1–2000).

---

📤 Output

Each dataset item:

{
  "app_id": "570",
  "review_id": "230527392",
  "author_steamid": "76561198326697527",
  "recommended": true,
  "review": "Best MOBA, 5000 hours and counting.",
  "votes_up": 12,
  "votes_funny": 3,
  "weighted_score": 0.75,
  "playtime_hours": 5231.4,
  "playtime_at_review_hours": 4980.0,
  "games_owned": 142,
  "steam_purchase": true,
  "received_free": false,
  "language": "english",
  "date": "2026-07-14T20:14:12+00:00",
  "scraped_at": "2026-07-16T09:00:00+00:00"
}

---

🎯 Use cases

• Game feedback mining — surface what players love and hate about a title.
• Sentiment analysis — feed recommended + review text into an NLP pipeline.
• Reputation / brand monitoring — track review score trends over patches and launches.
• QA & bug triage — spot recurring crash/bug complaints early.
• Market & competitor research — benchmark your game against rivals' review sentiment.

---

🔍 How it works

The actor calls Steam's public store.steampowered.com/appreviews/{appid}?json=1 endpoint, impersonating Chrome via curl_cffi (with a plain urllib fallback). It paginates using the endpoint's cursor token — URL-encoded on every request — de-duplicating by recommendationid until reviews run out or maxItems is reached.

---

📊 Comparison

	This actor	Steam Web API	Manual export
API key needed	❌ No	✅ Yes	—
Full review text	✅	✅	Copy/paste
Playtime in hours	✅	Minutes only	❌
Ready JSON/CSV/Excel	✅	Raw JSON	❌
Price	~$0.50/1k	Free but rate-limited & keyed	Free but manual

---

🔗 Related actors by ninhothedev

• Steam Games Scraper
• App Store Reviews Scraper
• GOG Games Scraper
• Trustpilot Scraper

---

Keywords: steam reviews scraper, steam game reviews, steam review api, game sentiment analysis, steam playtime, steam ratings, gaming reputation monitoring, steam appreviews, video game feedback, steam data export