Game Deals Scraper - Prices Across 30+ Stores

Scrape live PC game deals across more than thirty stores in bulk. Extract title, sale price, normal price, savings percentage, store, Steam rating, Metacritic score and deal link to CSV/JSON. No API key.

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What does the CheapShark Scraper do?

This Actor turns any CheapShark search into a structured dataset. You give it every store or filtered by store and rating, it walks the result pages one after another, and it writes one clean row per deal into your dataset — ready to export as JSON, CSV or Excel, or to pull straight from the Apify API.

CheapShark aggregates live pricing from more than thirty PC game stores behind one keyless REST API, and the Actor reads it directly. Every row already carries both the sale and the normal price, so the saving is a fact from the source rather than a calculation. Pagination is followed automatically until it runs out of results, hits your page limit or hits your Max items cap, whichever comes first. Every row is de-duplicated across the whole run, so you are never billed twice for the same deal.

There is no API key, no login and no browser involved. That keeps runs fast and cheap, and it means you can schedule the Actor without worrying about credentials expiring.

Who is it for?

• Price-comparison products that need a cross-store game pricing feed.
• Deal and coupon sites sourcing live discounts automatically.
• Game publishers watching where their titles are discounted and by whom.
• Analysts studying how discounting differs between storefronts.
• Affiliate marketers building deal feeds without manual curation.

Use cases

• Export every live deal and rank by savings percentage.
• Track one store's discounting behaviour over time.
• Find titles below a price threshold with a strong Steam rating.
• Compare the same game's price across competing storefronts.
• Build a historical deal dataset by scheduling repeated runs.

Why use this CheapShark Scraper?

• 🔑 Keyless — no account, no API token, no cookies to paste.
• 📦 18 fields per deal — everything the result page exposes, already typed.
• 📄 Real pagination — it walks page after page instead of returning the first screen.
• 🎯 Precise caps — Max items stops the run exactly where you want it, so the bill is predictable.
• 📊 Export anywhere — JSON, CSV, Excel or HTML, plus the Apify API and integrations.
• 💸 Pay per result — you pay for rows you actually receive, with no platform fees to calculate.

What data can you extract?

Every run produces one row per deal, with these fields:

Field	Type	Description
dealId	string	CheapShark deal ID
title	string	Game title
dealUrl	string	Link that redirects to the store offer
storeId	string	Store identifier
salePrice	number	Current sale price
normalPrice	number	Normal price before the discount
savingsPercent	number	Percentage saved against the normal price
isOnSale	boolean	Whether the listing is currently discounted
steamAppId	string	Matching Steam application ID when known
steamRatingPercent	number	Percentage of positive Steam reviews
steamRatingCount	number	Number of Steam reviews
steamRatingText	string	Steam review summary, e.g. Very Positive
metacriticScore	number	Metacritic score when available
dealRating	number	CheapShark's own 0-10 rating of the deal
releaseDate	string	Release date of the title
thumbnailUrl	string	Thumbnail image URL
page	number	Result page the deal appeared on
scrapedAt	string	ISO timestamp of extraction

Output example

{
  "dealId": "ognJ9LfwN74A5N2nMqzcLqKjKobCdudf7BmpU2ON0qw%3D",
  "dealRating": 10,
  "dealUrl": "https://www.cheapshark.com/redirect?dealID=ognJ9LfwN74A5N2nMqzcLqKjKobCdudf7BmpU2ON0qw%253D",
  "isOnSale": true,
  "metacriticScore": 86,
  "normalPrice": 24.99,
  "page": 1,
  "releaseDate": "2023-11-14",
  "salePrice": 0,
  "savingsPercent": 100,
  "scrapedAt": "2026-09-14T07:51:50.311Z",
  "steamAppId": "1280930",
  "steamRatingCount": 1811,
  "steamRatingPercent": 95,
  "steamRatingText": "Overwhelmingly Positive",
  "storeId": "25",
  "thumbnailUrl": "https://shared.fastly.steamstatic.com/store_item_assets/steam/apps/1280930/8326b5c061ca3c8eb24ee9a45d4b5a93f379067c/capsule_231x87.jpg?t=1788164581",
  "title": "Astral Ascent"
}

How to use

Option A — every store

{
  "maxItems": 900,
  "maxPagesPerSearch": 15
}

1. Open the Actor and fill in the every store field.
2. Set Max pages per search and Max items to bound the run.
3. Click Start, then export from the Output tab.

Option B — filtered by store and rating

{
  "maxItems": 500,
  "maxPagesPerSearch": 10,
  "maxPrice": 20,
  "minSteamRating": 80,
  "storeId": "1"
}

Paste one or more CheapShark URLs into Start URLs and the Actor paginates each of them independently.

Input parameters

Parameter	Type	Default	Description
storeId	string	``	CheapShark store ID to restrict the run to, e.
minSteamRating	integer	0	Drop deals whose Steam positive-review percentage is below this.
maxPrice	integer	0	Only return deals at or below this price.
maxPagesPerSearch	integer	4	How many result pages to walk for each search.
maxItems	integer	200	Stop after this many deals.
maxConcurrency	integer	2	Parallel requests.
proxyConfiguration	object	{"useApifyProxy": true}	Proxy used to fetch pages.

Tips for best results

• Leave the store filter empty to sweep every store CheapShark tracks.
• 60 deals come back per page, so a 20-page run yields roughly 1,200 rows.
• dealRating blends price and quality — sort by it to surface genuinely good offers.
• savingsPercent is supplied by the source, so it is consistent across stores.
• Use the minimum-Steam-rating filter to drop shovelware from a deal feed.
• Deals change constantly; schedule hourly or daily runs to build a price history.
• steamAppId lets you join these rows to the Steam store scraper's output.
• A null metacriticScore simply means the title was never scored there.
• Keep Max concurrency low — the API is free and politeness keeps it that way.
• Pair with the Steam and GOG scrapers to see list price against street price.

Integrations

Send results straight into the tools you already use: Google Sheets, Slack, Zapier, Make, Airtable or any Webhook. You can also schedule the Actor to run hourly, daily or weekly and have each run append to the same dataset, which is how you build a price or availability history rather than a one-off snapshot.

API usage

Run the Actor and collect results from any language. Replace <YOUR_TOKEN> with your Apify API token.

cURL

curl -X POST "https://api.apify.com/v2/acts/logiover~cheapshark-game-deals-scraper/run-sync-get-dataset-items?token=<YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 900, "maxPagesPerSearch": 15}'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_TOKEN>' });
const run = await client.actor('logiover/cheapshark-game-deals-scraper').call({"maxItems": 900, "maxPagesPerSearch": 15});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient('<YOUR_TOKEN>')
run = client.actor('logiover/cheapshark-game-deals-scraper').call(run_input={"maxItems": 900, "maxPagesPerSearch": 15})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Use with AI agents (MCP)

This Actor is available through the Apify MCP server, so an AI agent can call it as a tool. Point your agent at https://mcp.apify.com and it can run the CheapShark Scraper on demand — for example: "Pull the first 500 deals from CheapShark and summarise the price distribution." The agent receives the same structured rows you would get from the UI.

FAQ

Do I need a CheapShark account or API key?

No. The Actor reads publicly available pages only. There is nothing to authenticate and no credentials to rotate.

How many deals can I get in one run?

As many as the search exposes. Raise Max pages per search and Max items together; the run stops at whichever limit it reaches first.

Why did I get fewer rows than I asked for?

The search ran out of deals. That is normal for narrow queries — broaden the search or add more searches to one run.

Are results de-duplicated?

Yes. Each deal is emitted once per run, even when it appears on several pages, so you are never billed twice for the same record.

Why are some fields empty?

CheapShark does not publish every attribute for every deal. Empty means the source did not show it, not that extraction failed.

What export formats are supported?

JSON, CSV, Excel, HTML and RSS from the Output tab, plus the Apify API and any integration you connect.

How fast is it?

It is pure HTTP with no browser, so a page of results typically takes a second or two. Raise Max concurrency carefully — the source rate-limits aggressive crawling.

Can I schedule it?

Yes. Use the Apify scheduler to run it on any interval and append each run to the same dataset for time-series analysis.

Does it work behind a proxy?

It uses Apify Proxy automatically. You can switch groups or supply your own proxies in Proxy configuration.

How often does the data change?

CheapShark updates continuously. Re-run whenever you need current data; the Actor always reads the live pages, never a cache.

Is the output schema stable?

Yes. Field names and types are fixed, so downstream pipelines will not break between runs.

What if the site changes its layout?

Open an issue on the Issues tab and it gets fixed. The Actor is actively maintained.

Is it legal?

This Actor reads only publicly available pages on CheapShark — the same content any visitor sees without logging in. It does not bypass authentication, does not collect private data and does not attempt to defeat access controls. You are responsible for how you use the output: respect the source's terms of service, applicable copyright, and data-protection law such as GDPR where personal data is involved. Scraping public data is generally lawful in the EU and the US, but the responsibility for the downstream use of that data sits with you.

Related scrapers

• Steam Store Scraper — List prices straight from Steam
• GOG Scraper — DRM-free pricing
• Idealo Scraper — General price comparison
• Amazon Product Scraper — Retail pricing