
Japan Car Market Mcp
io.github.atushi1841Published by GitHub account atushi1841v1.0.0Updated Nov 2, 2026
Japan used car prices from goo-net.com via Apify + Gumroad
Overview
Scrapes goo-net.com used car listings in Japan, giving an assistant car titles, makers, JPY prices, dealer shops and detail links, plus price statistics.
- What you can do
- Search used car listings by model or brand keyword, optionally limited to one of Japan's 47 prefectures
- Retrieve listing details per car: title, maker, price in JPY, image URL, dealer shop and detail page link
- Return aggregated price statistics (count, min, max, average, median) for a model instead of full listings
- Control crawl size with maximum items and maximum pages settings
- When to use it
- Useful for used car exporters, importers and market researchers who need current Japanese used car inventory and pricing, or for JDM enthusiasts tracking specific models. It suits price benchmarking and market trend work rather than general web research.
- Requirements
- Runs as a local process (stdio) on the desktop; the README shows a Python 3.11 setup and also mentions an Apify actor and Smithery install. Scraping runs through Apify, which requires an Apify account and API token, and results are billed per item.
Installation
In SourceWeft
- Open Japan Car Market Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Goo-net Japan Used Cars Scraper
Scrape used car listings from goo-net.com — one of Japan's largest used car portals — with prices, maker, and dealer information.
Why This Data
- Japan exported a record 1.71 million used vehicles in 2025 (JUMVEA) — a massive global market
- Used car exporters (BE FORWARD, carused.jp, SBT Japan, etc.) constantly need fresh inventory and pricing data
- JDM (Japanese Domestic Market) models are highly valued worldwide
- Zero dedicated cross-listing competitor on Apify Store at launch
Features
- ✅ Server-side rendered pages (no browser needed — fast & cheap)
- ✅ Nationwide inventory (47 prefectures) with pagination
- ✅ Model name, price (JPY), maker, image, dealer shop, and detail URL per listing
- ✅ Prefecture filter (e.g.
01= Hokkaido,13= Tokyo,47= Okinawa) - ✅ EUC-JP encoding handled automatically
- ✅ Runs on Apify proxy — no IP blocking issues
Input
Output
Each item contains: itemId, title, maker, price (JPY), imageUrl, detailUrl, shop, source, scrapedAt.
Example:
Use Cases
- 🚗 Used car exporters & importers (inventory tracking, pricing research)
- 📊 Market researchers (JDM market trends, price analysis)
- 🔍 JDM enthusiasts hunting specific models
Price Stats API Mode (相場統計API)
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):
Response (JSON):
statsKeyword: model name (e.g.N-BOX,ハイエース). Full-width/half-width matching handled automatically- Combine with
bodyTypeto narrow (e.g.KEI,SUV) - Use cases: market research, dealer pricing benchmarks, export valuation
Pricing
Pay per result: $0.002 per item ($2 per 1,000 listings).
Legal
- Respects goo-net's robots.txt (search endpoints excluded; category pages allowed)
- For research and legitimate business use. Check goo-net's terms before commercial use.
- Rate-limited by design (3 retries, exponential backoff).
Tech
- Python 3.11 + httpx + BeautifulSoup
- Apify Actor SDK v3
- EUC-JP decode support
MCP Server & Registry
This scraper is also available as an MCP server for AI agents:
- MCP Registry:
io.github.atushi1841/japan-car-market-mcp - Apify Store: https://apify.com/fruitful_quintessence/goo-net-car-scraper
- Gumroad: https://atushi5.gumroad.com/l/kutuxe
Install via MCP: add to your MCP config:
Smithery
Install via Smithery:
Source: README.md at commit 84082ea
Tools
0Version history
1- v1.0.0LatestOct 19, 2026
Score
40% of the applicable checks met
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- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- Tools listed15 pts
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- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
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