Japan used car prices from goo-net.com via Apify + Gumroad
Scrape used car listings from goo-net.com — one of Japan's largest used car portals — with prices, maker, and dealer information.
01 = Hokkaido, 13 = Tokyo, 47 = Okinawa)| Field | Type | Default | Description |
|---|---|---|---|
searchKeyword | string | empty | Car model / brand keyword (e.g. ハイエース, アクア). Empty = full scan |
statsMode | boolean | false | true = return aggregated price stats instead of listings |
statsKeyword | string | empty | Model name to aggregate (e.g. N-BOX, ハイエース) |
prefecture | string | empty | Prefecture code 01–47. Empty = all Japan |
maxItems | integer | 100 | Maximum number of listings to collect |
maxPages | integer | 5 | Maximum number of pages to crawl |
proxyConfiguration | object | auto | Apify proxy (auto) |
Each item contains: itemId, title, maker, price (JPY), imageUrl, detailUrl, shop, source, scrapedAt.
Example:
{
"itemId": "988026080400207235003",
"title": "ハイエースバン スーパーGL",
"maker": "トヨタ",
"price": 2796000,
"detailUrl": "https://www.goo-net.com/usedcar/spread/goo/15/988026080400207235003.html",
"shop": "ハイエース/キャラバン専門店 ファイントラスト土岐店",
"source": "goo-net"
}
Same Actor doubles as a price stats API for market research — returns aggregated price statistics for a car model without downloading the full listing data.
Request (Apify synchronous API):
curl -X POST "https://api.apify.com/v2/acts/bgm5Gxn4BeBmoO7xD/run-sync-get-dataset-items?token=YOUR_TOKEN&timeout=120" \
-H "Content-Type: application/json" \
-d '{"statsMode": true, "statsKeyword": "N-BOX", "maxItems": 30, "maxPages": 1}'
Response (JSON):
{
"statsType": "goo-net-car-price",
"keyword": "N-BOX",
"count": 5,
"priceMin": 230000,
"priceMax": 1907000,
"priceAvg": 974400,
"priceMedian": 596000,
"sampleItems": [{"title": "...", "price": 230000, "detailUrl": "...", "shop": "..."}]
}
statsKeyword: model name (e.g. N-BOX, ハイエース). Full-width/half-width matching handled automaticallybodyType to narrow (e.g. KEI, SUV)Pay per result: $0.002 per item ($2 per 1,000 listings).
This scraper is also available as an MCP server for AI agents:
io.github.atushi1841/japan-car-market-mcpInstall via MCP: add to your MCP config:
{"mcpServers": {"japan-car-market-mcp": {"command": "python3", "args": ["src/stdio_main.py"]}}}
Install via Smithery:
npx @smithery/cli install atushi1841/japan-car-market-mcp --client claude
This listing does not have a supported local package template. Use the maintainer’s documentation for its hosted endpoint, authentication, and client-specific setup. No install command has been inferred.
https://github.com/atushi1841/goo-net-car-scraper/releases/download/v1.0.0/server.mcpbotherio.github.atushi1841/japan-car-market-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.