Steam Game Scraper

Extract game data from Steam Store: title, price, discount, review score, genres, tags, developer, publisher, release date, player count. Browse top sellers, new releases, or search by keyword. Ideal for gaming market analysis, price tracking.

Use cases

• Track a game's price, discount, and platform availability
• Research a genre's pricing and release cadence
• Build a games catalogue or wishlist tracker
• Monitor competitor releases and tags
• Analyse developer and publisher output

Input

Parameter	Type	Required	Default	Description
searchUrl	string	No	—	Custom Steam Store URL to scrape (overrides other parameters)
query	string	No	"action"	Search term to find games on Steam
genre	string	No	—	Filter by genre tag
tag	string	No	—	Filter by Steam tag
onSale	boolean	No	false	Only show games currently on sale
maxResults	integer	No	20	Maximum number of games to scrape

Example input

{
  "query": "action",
  "onSale": false,
  "maxResults": 20
}

Output

Each dataset item looks like this — real output from an actual run of this Actor:

{
  "title": "Action Taimanin",
  "appId": "1335200",
  "url": "https://store.steampowered.com/app/1335200",
  "imageUrl": "https://shared.akamai.steamstatic.com/store_item_assets/steam/apps/1335200/b7f257c61b0b57446b4c22ddb3d2b8995f56ebe3/capsule_231x87.jpg?t=1754155148",
  "headerImageUrl": "https://shared.akamai.steamstatic.com/store_item_assets/steam/apps/1335200/b4451d6a49308f7f76dd11436a6eb027009c62dd/header.jpg?t=1754155148",
  "shortDescription": "An intense, gorgeous hack-and-slash action RPG from the Taimanin fame!",
  "price": 0,
  "currency": "USD",
  "releaseDate": "5 Oct, 2020",
  "developer": "LiLith",
  "publisher": "Infini-Brain inc.",
  "platforms": {
    "windows": true,
    "mac": false,
    "linux": false
  },
  "genres": [
    "Action",
    "Adventure"
  ],
  "tags": [
    "Single-player",
    "Multi-player"
  ]
}

Field	Type
title	string
appId	string
url	string
imageUrl	string
headerImageUrl	string
shortDescription	string
price	number
currency	string
releaseDate	string
developer	string
publisher	string
platforms	object
genres	array
tags	array

The dataset also ships a preset table view (Games), so the key columns are readable straight away in Apify Console, and exportable to JSON, CSV, Excel, or XML.

How to run it

In Apify Console — open the Actor, fill in the input form, click Start, then download the results from the Dataset tab.

With the JavaScript client

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('cloud9_ai/steam-game-scraper').call({
  "query": "action",
  "onSale": false,
  "maxResults": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With the Python client

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('cloud9_ai/steam-game-scraper').call(run_input={
  "query": "action",
  "onSale": False,
  "maxResults": 20
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

With the API — POST https://api.apify.com/v2/acts/cloud9_ai~steam-game-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN with the input JSON as the body.

Notes and limits

• No API key, account, or login is needed — just the input above.
• maxResults caps how much a single run collects, which is also what caps the run's cost.
• Requests are paced and failed requests are retried automatically, so runs stay inside the source's rate limits.
• Only publicly available data is collected. How you use the output is your responsibility, including the source's terms of use and any applicable data-protection law.

Support

Found a bug, or need a field that isn't in the output? Open an issue on the Issues tab of this Actor in Apify Console. Issues there are read and answered.

License

Apache-2.0