Steam Scraper — Games, Prices & Reviews (No Login)

Scrape the Steam store: search for games, pull full app details and collect player reviews — without logging in, without an API key and without a browser.

Every row is normalized, de-duplicated and carries provenance, ready for spreadsheets, databases, dashboards or LLM pipelines.

What you get

• Store search — give search terms and get matching games, each enriched with full details.
• Direct apps — pass app IDs or store URLs to fetch specific games.
• Full details — price + discount, genres, categories, platforms, release date, developers/publishers, Metacritic, recommendation counts, achievements, screenshots, DLC, languages.
• Player reviews — cursor-paginated, with votes, weighted score, playtime, purchase type and per-app review summary.

All rows live in one dataset, tagged by record_type (game or review).

Output fields

Games (record_type: "game")

Field	Description
app_id / name / app_type	Identity
release_date / is_coming_soon / required_age	Release info
developers / publishers	Studios
genres / categories	Tags
platforms_windows / platforms_mac / platforms_linux	Platforms
price_currency / price_initial / price_final / price_discount_percent / price_formatted / is_discounted	Price (minor units, e.g. cents)
metacritic_score / recommendations_total / achievements_total	Scores & counts
short_description / detailed_description / about_the_game	Text (detail optional)
header_image / capsule_image / background / screenshots / movie_count / dlc	Media
store_url / source_type / source_input / schema_version / fetched_at	Provenance

Reviews (record_type: "review")

Field	Description
recommendation_id / app_id	Identity
review_text / language / voted_up	Content
votes_up / votes_funny / weighted_vote_score / comment_count	Engagement
timestamp_created / timestamp_updated	ISO-8601 UTC + epoch
steam_purchase / received_for_free / refunded / written_during_early_access / primarily_steam_deck	Flags
author_steamid / author_personaname / author_profile_url / author_num_games_owned / author_num_reviews / author_playtime_forever / author_playtime_at_review	Author
review_score_desc / review_score / total_positive / total_negative / total_reviews	Summary

Use cases

• Game market research — pricing, discounts, genre trends, release cadence.
• Publisher & studio analytics — reception and sentiment per title.
• Review sentiment / AI datasets — clean, structured review text with metadata.
• Price tracking & deal monitoring — watch discounts across regions.
• Player/author profiling — playtime and ownership for market studies.

Input

{
  "searchQueries": ["co-op roguelike", "city builder"],
  "appIds": [1145360],
  "includeReviews": true,
  "maxReviewsPerApp": 200,
  "reviewFilter": "recent",
  "country": "US"
}

Pricing

Pay per result. You are charged only for rows delivered to your dataset (games and reviews), plus a small per-run fee. No subscription, no minimum.

Notes

• Uses Steam's public store endpoints (/search/results/, /api/appdetails, /appreviews/); store.steampowered.com/robots.txt allows these paths.
• De-duplicated across searches and app IDs.
• Steam occasionally rate-limits high request volumes; the Actor paces its requests. Intended for research and analytics — use in line with Steam's terms.

Sample output

{"record_type": "game", "app_id": 1145360, "name": "Hades", "release_date": "Sep 17, 2020", "price_final": 2499, "price_currency": "USD", "metacritic_score": 93, "recommendations_total": 287151}

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