Steam Scraper

Steam store data from Python or the command line: search games by name, or pull the full store detail of a list of app ids, with price and discount, developers and publishers, genres and categories, release date, Metacritic score, Steam recommendations, platforms, languages, DLC and achievement counts, screenshots and trailer, as JSON or CSV. The code is free and open source (MIT). It runs on the QuanticData Data API, so there is no Steam API key to request and no proxy to rotate: sign in once and run a command.

pip install git+https://github.com/quantumproxies/steam-scraper
steam-scraper login
steam-scraper games portal --max-results 20 -o portal.csv

login opens the QuanticData sign-in page in your browser. New accounts get $2 of free usage every month, no card required: create one.

What it scrapes

Command	Input	Returns	Per run
steam-scraper games	search term, or --app-ids	Price, discount, genres, developers, release date, Metacritic, platforms, 41 fields per row (fields and price)	up to 50

Two modes: steam-scraper games portal searches the store (rank, name, price, Metacritic, platforms, images); steam-scraper games --app-ids 620 400 returns the full store detail of each game. --country sets the storefront for prices and currency.

Sample output

A real row from steam-scraper games portal --max-results 3 (2026-10-23):

{
  "url": "https://store.steampowered.com/app/620",
  "icon": "https://shared.akamai.steamstatic.com/community_assets/images/apps/620/25a5a16b2423bf7487ac5340b5b0948cef48c5f8.jpg",
  "logo": "https://shared.akamai.steamstatic.com/store_item_assets/steam/apps/620/bd23943dcd0280aa2cdc066e2f86d2185cfd4cce/capsule_231x87.jpg?t=1790187113",
  "name": "Portal 2",
  "rank": 1,
  "type": "app",
  "price": 9.99,
  "app_id": "620",
  "is_free": false,
  "currency": "USD",
  "platforms": [
    "windows",
    "linux"
  ],
  "list_price": 9.99,
  "metacritic": 95,
  "discount_pct": null,
  "controller_support": "full"
}

Python

from quanticdata_steam_scraper import SteamScraper

steam = SteamScraper()  # saved login, or QUANTICDATA_API_KEY

found = steam.games("portal", max_results=10)
for g in found:
    print(g["app_id"], g["name"], g["price"], g["metacritic"])

details = steam.games(app_ids=["620", "400"], country="us")
for g in details:
    print(g["name"], g["release_date"], g["genres"], g["recommendations"])
details.to_csv("portal_details.csv")

Each call returns a Run: iterate it for the rows (plain dicts), take len(), or save it with to_csv(), to_json(), to_jsonl() or to_dataframe() (pandas). Errors are specific: InsufficientCredit, RateLimited, InvalidInput, JobFailed, AuthError.

Examples

• Price and discount tracking: Check the price, list price and discount of a list of games on every run and keep the history in a CSV, to catch every sale. See examples/price_tracker.py.
• Game comparison table: Developers, publishers, genres, release date, Metacritic, recommendations, price, DLC and achievement counts of a list of games side by side, in one CSV sorted by Metacritic. See examples/compare_games.py.
• From search to full detail: Search the store for a few terms, then pull the full detail of every game found, de-duplicated by app id. See examples/search_to_details.py.

Command line

Results print as a table; -o file.csv, -o file.json or -o file.jsonl writes a file. List inputs take a b c, a,b,c, @file.txt (one per line) or - (stdin). --no-wait starts a long run in the background and prints its id; steam-scraper run <id> -o out.csv collects it later.

steam-scraper games

Steam store data: search games by name, or pull the full store detail of a list of app ids (price, discount, genres, developers, publishers, release date, Metacritic, platforms).

steam-scraper games [QUERY] [options]

Option	Type	Default	Description
QUERY	string		Search term, e.g. "portal". Omit it when you pass --app-ids.
--app-ids	string[]		Steam app ids (620) or store URLs, for the full store detail of each game.
--country	string		Storefront country for prices and currency (default us).
--include-reviews	boolean	True	Detail mode: also read Steam's review verdict and totals for each app (one small extra request per app).
--max-results	integer	20	How many apps to deliver at most (1–50). You pay only for delivered apps.

Output fields

steam-scraper games: 41 fields

Field	Type	Description
rank	integer	1-based position.
app_id	string	Steam appid.
name	string or null	Game/app title.
type	string or null	game, dlc, demo… (detail mode).
is_free	boolean	Free-to-play (detail mode).
price	number or null	Final price (detail mode).
price_formatted	string or null	Price as shown (detail mode).
discount_pct	integer or null	Discount % (detail mode).
currency	string or null	Price currency (detail mode).
developers	string[]	Developers (detail mode).
publishers	string[]	Publishers (detail mode).
genres	string[]	Genres (detail mode).
categories	string[]	Store categories (detail mode).
release_date	string or null	Release date as shown (detail mode).
metacritic	integer or null	Metacritic score (detail mode).
recommendations	integer or null	Total recommendations (detail mode).
platforms	string[]	windows/mac/linux (detail mode).
header_image	string or null	Header image URL.
icon	string or null	Icon URL (search mode).
short_description	string or null	Short description (detail mode).
url	string	Store page URL.
logo	string or null	Capsule image (search rows).
coming_soon	boolean or null	Not yet released (detail rows).
required_age	integer or null	Minimum age (detail rows).
list_price	number or null	Price before discount.
controller_support	string or null	full / partial, from the store record or, when that omits it, from its controller-support category.
review_summary	string or null	Steam's review verdict (Very Positive, Mixed…) — detail rows. Null, with the review counts, when Steam's review summary does not answer for the app; the run notes say how many rows that is.
reviews_total	integer or null	Total user reviews.
reviews_positive	integer or null	Positive reviews.
reviews_negative	integer or null	Negative reviews.
reviews_positive_pct	number or null	Share of positive reviews (%).
website	string or null	Official website.
languages	string[] or null	Supported languages.
dlc_count	integer or null	Number of DLCs.
achievements	integer or null	Number of achievements.
age_rating	string or null	ESRB / PEGI rating.
content_notes	string or null	Mature-content note from the store page.
screenshots	string[] or null	Screenshot URLs (up to 5).
trailer	string or null	First trailer stream URL.
metacritic_url	string or null	Metacritic page.
support_url	string or null	Support page.

Sign-in and API keys

• steam-scraper login signs you in with OAuth 2.1 and PKCE in the browser. The token is stored in ~/.config/quanticdata/credentials.json (readable only by you) and refreshed automatically. One login serves every QuanticData tool on the machine.
• No browser on the machine (SSH, Docker, Colab): run steam-scraper login --no-browser, open the link anywhere, then paste back the address the browser ends on.
• Scripts and CI: set QUANTICDATA_API_KEY to a key from the dashboard, or store one with steam-scraper login --api-key.
• steam-scraper logout revokes the token. The connection is listed under API keys in the dashboard as "API · QuanticData CLI"; deleting that key disconnects every machine that uses it.

Pricing

The code is free and MIT-licensed. Runs are billed to your QuanticData account per delivered row, at the price shown on each collector page linked above; $2 of usage is free every month and failed runs are never billed. Plans with higher limits: pricing.

Other ways to call it

The same data over plain HTTP:

curl -X POST https://api.quanticdata.io/v1/scraper/collectors/steam/run \
  -H "Authorization: Bearer $QUANTICDATA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": {"query": "portal", "max_results": 3}}'

• API reference with Python, Node, PHP and curl examples.
• MCP server to give Claude, Cursor or any MCP client the same tools.
• n8n node for no-code workflows.

FAQ

Is this Steam scraper free?

The code is free and MIT-licensed. Scraping runs on your QuanticData account: $2 of usage is free every month with no card, then you pay per delivered row at the price shown on each collector page. Failed runs are never billed.

Do I need a Steam API key or proxies?

No. There is no Steam Web API key to request and no proxy to configure: you send a search term or app ids and get rows back; the requests run on QuanticData's side.

Search or app ids: what is the difference?

A search term returns the store's search results with rank, name, price, Metacritic and platforms. --app-ids returns the full store page of each game: developers, publishers, genres, release date, languages, recommendations, DLC and achievements, screenshots and trailer.

How many games can one run return?

Up to 50 per run; ask for fewer with --max-results and you pay only for what is delivered.

Can I export to CSV or Excel?

Add -o games.csv (or .json, .jsonl). Lists such as genres, developers and platforms are joined with '; ', so the CSV opens cleanly in Excel or Google Sheets.

Can I run it on a schedule?

Yes. Set QUANTICDATA_API_KEY in the environment and call the CLI or examples/price_tracker.py from cron, GitHub Actions or any scheduler.

Related scrapers

• App Store Scraper: App Store scraper for Python and the command line.
• Google Play Scraper: Google Play scraper for Python and the command line.
• Reddit Scraper: Reddit scraper for Python and the command line.

License

MIT. Built and maintained by QuanticData.