Collectors · Gaming
Steam store API in Python
Steam store data — search games or pull full detail: price, genres, Metacritic, reviews. One POST from Python with the input, rows back as JSON with 41 fields, $0.0008 per delivered app. No proxies or parsers to maintain.

First call
Install, call, read the rows.
pip install requestsimport os, requests
r = requests.post(
"https://api.quanticdata.io/v1/scraper/collectors/steam/run",
headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
json={
"query": "portal",
"max_results": 10,
},
timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
print(row.get("app_id"), row.get("name"), row.get("type"), row.get("is_free"))The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.
Request parameters
What the collector takes.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
query | string | no | Search term (search mode). Use this OR app_ids. |
app_ids | array | no | Steam appids or store URLs for full detail. Use this OR query. |
country | string | no | Storefront country for pricing (default us). |
include_reviews | boolean | no (default true) | Detail mode: also read Steam's review verdict and totals for each app (one small extra request per app). |
max_results | integer | no (default 20) | How many apps to deliver at most (1–50). You pay only for delivered apps. |
Response fields
41 fields per app.
| Field | Type | What it holds |
|---|---|---|
rank | integer | 1-based position. |
app_id | string | Steam appid. |
name | string, nullable | Game/app title. |
type | string, nullable | game, dlc, demo… (detail mode). |
is_free | boolean | Free-to-play (detail mode). |
price | number, nullable | Final price (detail mode). |
price_formatted | string, nullable | Price as shown (detail mode). |
discount_pct | integer, nullable | Discount % (detail mode). |
currency | string, nullable | 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, nullable | Release date as shown (detail mode). |
metacritic | integer, nullable | Metacritic score (detail mode). |
recommendations | integer, nullable | Total recommendations (detail mode). |
platforms | string[] | windows/mac/linux (detail mode). |
header_image | string, nullable | Header image URL. |
icon | string, nullable | Icon URL (search mode). |
short_description | string, nullable | Short description (detail mode). |
url | string | Store page URL. |
logo | string, nullable | Capsule image (search rows). |
coming_soon | boolean, nullable | Not yet released (detail rows). |
required_age | integer, nullable | Minimum age (detail rows). |
list_price | number, nullable | Price before discount. |
controller_support | string, nullable | full / partial. |
review_summary | string, nullable | Steam's review verdict (Very Positive, Mixed…) — detail rows. |
reviews_total | integer, nullable | Total user reviews. |
reviews_positive | integer, nullable | Positive reviews. |
reviews_negative | integer, nullable | Negative reviews. |
reviews_positive_pct | number, nullable | Share of positive reviews (%). |
website | string, nullable | Official website. |
languages | string[], nullable | Supported languages. |
dlc_count | integer, nullable | Number of DLCs. |
achievements | integer, nullable | Number of achievements. |
age_rating | string, nullable | ESRB / PEGI rating. |
content_notes | string, nullable | Mature-content note from the store page. |
screenshots | string[], nullable | Screenshot URLs (up to 5). |
trailer | string, nullable | First trailer stream URL. |
metacritic_url | string, nullable | Metacritic page. |
support_url | string, nullable | Support page. |
Add ?format=csv to the runs endpoint to get the same rows as CSV.
Long runs
Run in the background, then poll.
A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.
import os, time, requests
H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/steam/run", headers=H,
json={**{"query":"portal","max_results":10}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
if run["status"] in ("done", "failed"):
break
time.sleep(5)
print(run["status"], run["count"])Errors
What can come back, and what is billed.
| Status | Meaning | Billed |
|---|---|---|
400 | The input does not match the collector (payload.errors) | No |
401 | Missing or wrong API key | No |
402 | Balance and free credit do not cover the run: top up | No |
422 | The input can never resolve; retrying the same input cannot help | No |
424 | The run failed at the source (blocked, timed out, layout changed); safe to retry | No |
429 | Rate limit or a per-account brake; wait for Retry-After | No |
Only delivered rows are billed: a run that delivers nothing costs nothing.
Price
$0.0008 per delivered app.
| Rows | Cost |
|---|---|
| 1 | $0.0008 |
| 1,000 | $0.80 |
| 10,000 | $8.00 |
Up to 50 apps per run; split larger jobs into several runs. The $2 free credit every month covers about 2,500 apps. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.
Before you run it
Questions developers ask
Is there a free Steam game data API?
Every account gets $2 of free usage each month, about 2,500 apps of this collector at $0.0008 each, with no card.
Do I have to handle proxies, retries or blocks?
No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.
How many rows can one run return?
Up to 50 apps per run (the max_results input, where the collector has one).
Can an AI agent run it?
Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.
Run it on the free credit.
Create an API key, export it as QD_API_KEY and run the example. $0.0008 per delivered app, no subscription.