Operated by Sourcelane✓ verified
Extract Steam game details, pricing, player ratings, and full user reviews for any title by app ID or store URL. No login required.
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.
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
One or more Steam app IDs (e.g.
Steam language code to filter reviews (e.g.
Two-letter country code controlling the currency and price shown in the game record (e.g.
Optional settings
| Window | Uptime | Success rate | p50 | p95 | Calls |
|---|---|---|---|---|---|
| 24h | — | — | — | — | 0 |
| 7d | — | — | — | — | 0 |
| 30d | — | — | — | — | 0 |
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 | — |
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. One click, then confirm.
Adds the Sourcelane MCP server with your key as a header.
claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
--header "Authorization: Bearer sl_live_your_agent_key"Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.
{
"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"
}
}
}
}Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).
{
"mcpServers": {
"sourcelane": {
"url": "https://api.usesourcelane.com/mcp",
"headers": {
"Authorization": "Bearer sl_live_your_agent_key"
}
}
}
}Save as .vscode/mcp.json. VS Code prompts for your key once.
{
"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
}
]
}Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.
https://usesourcelane.com/openapi.jsonOne POST. Pass maxResults to cap cost.
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}'Wrap the REST call as a tool, or point an MCP client at the endpoint.
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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