Steam Game & Reviews Scraper

App Stores & Reviews

Operated by Sourcelane✓ verified

A Steam-focused scraper that extracts comprehensive game metadata and granular user review data for any Steam title by app ID or store URL without login. It collects game-level information such as title, type, app identifier, store URL, release date and coming-soon status, pricing details (currency, final price, formatted price, discount), developers and publishers, genres and feature categories (multiplayer, controller support, trading cards, etc.), platform availability, age and content descriptors, Metacritic linkage, achievement and recommendation counts, and header/screenshot image URLs. For reviews it harvests reviewer identifiers and ownership signals, playtime metrics (at review, total, recent), recommendation polarity (thumbs up/down), helpful/funny vote counts and weighted helpfulness, full review text and language, timestamps and comment counts, purchase vs non-purchase flags and early-access markers, and direct review links. The connector supports configurable review sorting and filtering, automatic pagination up to a per-title limit, and resumable pagination across runs using per-app review cursors; outputs are structured as game-level records and review-level records suitable for large-scale analysis, sentiment mining, pricing and competitor benchmarking, and results building.

Verified Sep 28, 3:55 AM

$0.0007

per result

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Game market research — compare pricing, genres, and ratings across competing titles
Sentiment analysis — pull thousands of reviews to mine player sentiment and feature requests
Competitor & launch benchmarking — track review velocity and score for any game over time
Indie publishing — study what players praise and complain about in your niche
Academic & data science — build review results with playtime and helpfulness signals

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"steam-game-reviews-scraper","params":{"appIds":["730","570"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`appIds`	array	required	One or more Steam app IDs (e.g. 730) or store page URLs (e.g. https://store.steampowered.com/app/730/Counter-Strike_2/).
`includeReviews`	boolean	optional	Fetch user reviews for each game in addition to the game details record.
`maxReviewsPerApp`	integer	optional	Maximum number of reviews to fetch per game. Set 0 for unlimited (paginates until exhausted or the run nears its timeout).
`reviewFilter`	string	optional	How Steam orders the reviews. 'recent' and 'updated' support deep pagination; 'all' is best for a quick helpfulness-ranked sample.
`reviewType`	string	optional	Limit reviews to positive (thumbs up), negative (thumbs down), or include all.
`purchaseType`	string	optional	Limit reviews by how the reviewer obtained the game: bought on Steam, activated a non-Steam key, or all.
`reviewLanguage`	string	optional	Steam language code to filter reviews (e.g. 'english', 'schinese', 'german') or 'all' for every language.
`countryCode`	string	optional	Two-letter country code controlling the currency and price shown in the game record (e.g. 'us', 'gb', 'de').
`language`	string	optional	Steam store language for the game's name and description (e.g. 'english', 'german', 'french').
`pageId`	string	optional	Paste the NEXT_PAGE_ID value from the previous run's Key-value store to resume fetching reviews where you left off.

Each result contains

Field	Type	Description
`recordType`	string	Record Type
`appId`	integer	App Id
`name`	string	Name
`type`	string	Type
`isFree`	boolean	Is Free
`shortDescription`	string	Short Description
`developers`	array	Developers
`publishers`	array	Publishers
`priceCurrency`	string	Price Currency
`priceFinal`	number	Price Final
`priceFinalFormatted`	string	Price Final Formatted
`discountPercent`	integer	Discount Percent
`genres`	array	—
`categories`	array	—
`platformWindows`	boolean	—
`platformMac`	boolean	—
`platformLinux`	boolean	—
`metacriticScore`	integer	—
`metacriticUrl`	string	—
`requiredAge`	integer	—
`controllerSupport`	string	—
`dlcCount`	integer	—
`achievementsTotal`	integer	—
`recommendationsTotal`	integer	—
`releaseDate`	string	—
`comingSoon`	boolean	—
`headerImage`	string	—
`website`	null	—
`supportedLanguages`	string	—
`screenshotUrls`	array	—
`contentDescriptorNotes`	null	—
`reviewScore`	integer	—
`reviewScoreDesc`	string	—
`totalReviews`	integer	—
`totalPositive`	integer	—
`totalNegative`	integer	—
`storeUrl`	string	—

Use Steam Game & Reviews Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “Summarise the one-star reviews for our iOS app from the last 30 days by theme.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"steam-game-reviews-scraper","params":{"appIds":["730","570"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "steam-game-reviews-scraper",
        "params": {"appIds":["730","570"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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