Steam Game Reviews Scraper

Extract public Steam game reviews and review-summary signals for player sentiment analysis, game research, competitor monitoring, and gaming AI/RAG datasets.

Why this actor

Steam reviews are one of the clearest public signals for player sentiment, bugs, feature requests, monetization complaints, localization issues, and competitor positioning. Studios, publishers, analysts, and AI teams can use this actor to collect structured review rows for a single title or a recurring game watchlist.

SEO keywords covered by this Store page include Steam reviews scraper, Steam game sentiment data, Steam review API, player feedback dataset, game review text scraper, gaming market research, and Steam AI dataset.

Output

• Recommendation ID, language, review text, positive/negative vote, votes, weighted score, comments, purchase flags, playtime, review timestamps, review-score summary, and Steam URL
• Raw Steam review payload and scrape timestamp

Use cases

• Analyze player sentiment and feature complaints
• Monitor competitor games and community reception
• Build public review datasets for game studios, publishers, and researchers
• Feed AI agents with structured review rows
• Alert support, product, or community teams when new negative-review themes appear

Example input

{
  "appId": 730,
  "language": "english",
  "purchaseType": "all",
  "maxResults": 100
}

Agent and automation workflows

Send rows into a warehouse, vector database, Airtable, Make, n8n, or a customer-feedback tool. Agents can cluster complaints, summarize positive and negative themes, compare recent review changes, or produce weekly competitor sentiment reports.

Responsible use

This actor extracts public review content. Use it for research, moderation support, product analytics, and market intelligence. Do not use the output to harass reviewers, deanonymize users, spam communities, or make decisions that require non-public context.

Pricing

Recommended launch pricing: $3-$4 per 1,000 review rows, increasing toward $5-$7 per 1,000 after recurring sentiment-analysis usage appears.