Pricing

from $3.50 / 1,000 games

Steam Games Scraper - Prices, Reviews & Details (No API Key)

Scrape Steam games into a clean dataset: search by keyword, pass app IDs, or pull top sellers, new releases and specials. Get price, discount, genres, developer, publisher, release date, platforms, Metacritic, review score and recent reviews. Keyless public Steam API — no key, no proxy.

Pricing

from $3.50 / 1,000 games

Rating

0.0

(0)

Developer

Flash Scrape

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Bookmarked

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a day ago

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Steam Games Scraper — Prices, Discounts, Reviews & Details (No API Key)

Turn the Steam store into a clean, structured dataset. Search by keyword, hand it exact app IDs, or pull a ready-made discovery list (top sellers, new releases, specials, coming soon) — and get one tidy row per game: price, discount, genres, tags, developer, publisher, release date, platforms, Metacritic score, review score + counts, and (optionally) recent reviews.

Runs on Steam's public storefront APIs — no API key, no login, no proxy.

What you can do with it

💸 Price & discount monitoring — track sale prices across a watchlist of games.
📊 Market / competitor research — pull top sellers or a genre and compare pricing, tags, and reviews.
💬 Review-sentiment analysis — grab review scores, positive %, and recent review texts.
🗂️ Catalog building — export a genre or search into a spreadsheet or JSON feed.

Input

Field	Type	Description
`searchTerms`	array	Keywords to search the Steam store (e.g. `Hades`, `roguelike`).
`appIds`	array	Exact Steam app IDs (from `store.steampowered.com/app/<APP_ID>`).
`discover`	select	`top_sellers` / `new_releases` / `specials` / `coming_soon` (or `none`).
`countryCode`	string	Region for pricing (Steam `cc`), e.g. `us`, `gb`, `de`. Default `us`.
`language`	string	Content language, e.g. `english`, `french`. Default `english`.
`includeReviews`	boolean	Attach a review summary (and optional review texts) to each game.
`maxReviewsPerGame`	integer	Recent reviews per game when reviews are on (0 = summary only).
`maxItems`	integer	Max games to return (1–200).

You can combine inputs — e.g. a couple of searchTerms plus discover: specials.

Example

{
  "searchTerms": ["Hades", "Stardew Valley"],
  "discover": "specials",
  "countryCode": "us",
  "includeReviews": true,
  "maxReviewsPerGame": 5,
  "maxItems": 25
}

Output (one row per game)

app_id, name, type, is_free, price_formatted, price_final_cents, price_initial_cents, discount_percent, currency, on_sale, short_description, developers, publishers, genres, categories, release_date, coming_soon, windows / mac / linux, required_age, metacritic_score, recommendations_total, header_image, steam_url, country.

With includeReviews: review_score_desc, total_reviews, total_positive, total_negative, positive_pct, and reviews[] (voted_up, playtime_hours, review, created_at, votes_up).

Notes

Pricing reflects the countryCode you choose — Steam localizes prices per region.
Some titles are region-locked or delisted and return no store data; those are skipped.
Data comes from Steam's public endpoints; be reasonable with volume. The actor paces requests and retries automatically on rate limits.

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