Steam concurrent-player API

Steam player-interest trends via the Trends API. Monthly CCU history, growth, and live most-played. No Steam Web API key.

Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.

Authentication

Terminal

pip install trendsapi-steam
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts

from trendsapi_steam import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

Keyword helpers default to source: "steam". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.

Methods

Method	REST `mode`	Returns
`get_time_series(keyword, source=, data_mode=)`	`get_time_series`	`list[TrendsDataPoint]`
`get_growth(keyword, percent_growth=, source=, data_mode=)`	`get_growth`	`GetGrowthResponse`
`get_live(limit=, offset=, category=)`	`get_top_trends`	`GetTopTrendsResponse`
`get_top_trends(type=, ...)`	`get_top_trends`	`GetTopTrendsResponse`

source is lowercase (steam). type is exact (Steam Most Played). Mixing them is a 400.

server.ts

from trendsapi_steam import TrendsAPI

client = TrendsAPI()                    # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")

series = client.get_time_series("counter-strike 2")
print(series[-1].date, series[-1].value)

growth = client.get_growth("counter-strike 2", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)

hot = client.get_live(limit=10)
print(hot.data)                         # [[1, "..."], ...]

get_time_series

python

points = client.get_time_series("counter-strike 2")

Each point:

Field	Always	Meaning
`date`	yes	`YYYY-MM-DD`
`value`	yes	0-100 index for this series
`keyword`	yes	Echo
`volume`	no	Absolute volume when available
`source` or `datatype`	no	Pipeline label

Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"]. JS returns the same fields as object properties.

get_growth

python

g = client.get_growth("counter-strike 2", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.

Field	Meaning
`search_term`	Keyword
`data_source`	Source
`results`	One object per window (`period`, `growth`, `direction`, dates, values)
`metadata`	Counts / success flag

Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.

get_live

python

hot = client.get_live(limit=10)

Field	Meaning
`as_of_ts`	Snapshot time
`type`	Feed name
`limit`, `offset`, `count`	Pagination
`data`	`[rank, label]` rows

Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).

Async

server.ts

import asyncio
from trendsapi_steam import AsyncTrendsAPI

async def main():
    c = AsyncTrendsAPI()
    return await asyncio.gather(
        c.get_time_series("counter-strike 2"),
        c.get_time_series("counter-strike 2", source="google search"),
    )

asyncio.run(main())

Each 200 is one billed request.

Pandas

server.ts

from dataclasses import asdict
import pandas as pd
from trendsapi_steam import TrendsAPI

df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("counter-strike 2"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())

Call (curl)

Field	Value
Endpoint	`POST https://api.trendsapi.ai/api`
Auth	`Authorization: Bearer $TRENDSAPI_KEY`
History	`source: steam` with `get_time_series` or `get_growth`
Keyword	Game display name, e.g. counter-strike 2
Live `type`	Steam Most Played

Terminal

curl -sS -X POST https://api.trendsapi.ai/api \
  -H "Authorization: Bearer $TRENDSAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"mode":"get_time_series","source":"steam","keyword":"counter-strike 2"}'

Source notes

The backend resolves the name via Steam store search. AppIDs are not a request field.
Series is monthly. value is 0-100 vs that title, not raw CCU.
type: steam is 400.

Errors

HTTP	Client
200	Parsed payload. Python dataclasses / JS typed objects
400	Raises. Fix `source` or `type` spelling
401	Raises. Check `TRENDSAPI_KEY`
404	Raises. No series for that keyword. Do not retry
429	Raises. Quota
5xx	Client retries, then raises

The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.

Site: https://trendsapi.ai/trends/steam-trends.

License

MIT. See LICENSE.