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Rakuten Japan

@atushi1841MCP server · External

Search Rakuten Ichiba products and rankings via official Rakuten APIs.

Market researchv0.1.0Python
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

MCP Bundlehttps://github.com/atushi1841/rakuten-japan-mcp/releases/download/v0.1.0/rakuten-japan-mcp.mcpbv0.1.0

Distributed as an MCP bundle (`https://github.com/atushi1841/rakuten-japan-mcp/releases/download/v0.1.0/rakuten-japan-mcp.mcpb`) — download it and import the bundle in your MCP client.

README2 min read

Rakuten Japan MCP — 楽天市場商品検索・ランキング

Search Rakuten Ichiba (楽天市場) products and fetch the current ranking via the official Rakuten APIs.
Extract item names, prices, URLs, shop info, reviews, and images in clean structured JSON.

Apify Store


🚀 What This Does

This actor wraps the official Rakuten APIs and makes them available two ways:

  1. A traditional Apify actor — run it from the Apify Console, API, or schedule
  2. An MCP server — connect AI agents (Claude, Cursor, ChatGPT) to query Rakuten in real-time

Two data access modes:

  • Product search — IchibaItem/Search official API (keyword search)
  • Ranking — IchibaItem/Ranking official API (what's hot, genre ranking, historical eras)

Why use this? Rakuten is Japan's largest e-commerce platform with millions of products. This actor gives you programmatic access to product and ranking data without scraping HTML or managing proxies — both via TOS-compliant official APIs.


🔧 Usage

As an Apify Actor

1. Product Search — set searchKeyword (e.g. "ポケモン", "フィギュア", "PS5") and optional filters.

2. Ranking — set ranking to true, optionally narrow with genreId:

ParameterTypeDefaultDescription
rankingbooleanfalseSet true to fetch ranking instead of search
genreIdinteger—Restrict to genre (e.g. 101269=本・雑誌, 101347=おもちゃ)
rankingTypeselectitemitem, male, or female
erastring—Past-ranking era YYYYMMDD (e.g. 20190601)
maxResultsint30Max results (ranking max 30 per call)

As an MCP Server

Connect any MCP-compatible client to the actor's standby endpoint.

Tools:

  • search_rakuten — keyword product search, returns title/price/URL/shop/review/image
  • search_rakuten_ranking — current Rakuten ranking (genre / male / female / historical era)
  • get_actor_info — list of tools and pricing

🧹 Official API Details

  • Search: https://openapi.rakuten.co.jp/ichibams/api/IchibaItem/Search/20260701
  • Ranking: https://app.rakuten.co.jp/services/api/IchibaRanking/Ranking/20220601

Search requires RAKUTEN_APP_ID and RAKUTEN_ACCESS_KEY; ranking requires only RAKUTEN_APP_ID. These are Secret environment variables set on the Apify actor.


🧪 Tests & Type Checking

bash
python -m pytest tests/ -v
python -m mypy src/ --strict

Deploy happens automatically on push to master/main via GitHub Actions.


🔒 Pricing (pay-per-event)

  • rakuten-search: $0.001 / search
  • rakuten-ranking: $0.001 / ranking

MCP Registry

This server is registered on the official MCP Registry. Find it via search: rakuten-japan-mcp

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