# Japan Watch Market — Cross-Shop Price Comparison (`fruitful_quintessence/japan-watch-market-scraper`) Actor

- **URL**: https://apify.com/fruitful\_quintessence/japan-watch-market-scraper.md
- **Developed by:** [atushi ino](https://apify.com/fruitful_quintessence) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Japan Watch Market — Cross-Shop Price Comparison

**Compare used luxury watch prices across Japan's top watch retailers in a single dataset.**

Scrapes listings from **Jackroad (ジャックロード)** — Tokyo's leading pre-owned luxury watch dealer — and **Kitamura (キタムラ)** — Japan's largest camera chain with a 395+ used watch inventory (Rolex, Citizen, Seiko, Grand Seiko, etc.). Each item is tagged with its `source` and `shop` so you can compare prices for the same model across shops.

### Why this is useful

- **Cross-shop price comparison** — the same Rolex Explorer often differs by 5-15% between shops
- **Resale arbitrage** — find underpriced watches, sell at market rate
- **Price monitoring** — track market moves before buying/selling
- **Condition & rank tracking** — compare condition labels (新品/中古/ヴィンテージ) and ranks across shops

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `searchKeyword` | string | `ROLEX` | Brand/model keyword (required for Jackroad) |
| `maxItems` | integer | 100 | Max items to collect |
| `maxPages` | integer | 2 | Max pages per source |
| `sources` | string | `jackroad,kitamura` | Comma-separated source list |

### Output fields

| Field | Description |
|---|---|
| `productId` | Product ID at source shop |
| `title` | Product title |
| `price` | Price in JPY |
| `brand` | Brand (ROLEX, OMEGA, SEIKO...) |
| `shop` | Source shop name |
| `category` | Category label |
| `condition` | Condition (新品/中古/ヴィンテージ, kitamura rank) |
| `stockStatus` | Jackroad stock status |
| `source` | `jackroad` or `kitamura` |
| `imageUrl` | Product image URL |
| `productUrl` | Product page URL |
| `scrapedAt` | Scrape timestamp |

### Output sample

```json
{
  "productId": "6341419",
  "title": "ロレックス エアキング",
  "price": 848000,
  "brand": "ロレックス",
  "condition": "ヴィンテージ",
  "stockStatus": "在庫あり",
  "productUrl": "https://www.jackroad.co.jp/shop/g/g6341419/",
  "imageUrl": "https://www.jackroad.co.jp/img/goods/S/6341419.jpg",
  "shop": "Jackroad",
  "source": "jackroad",
  "category": "中古時計",
  "scrapedAt": "2026-08-10T09:54:53.747321+00:00"
}
```

The `source` + `shop` fields let you compare the same watch model across shops: run once with `searchKeyword: "ROLEX"` and get Jackroad and Kitamura prices side by side.

### Pricing

Pay per event — $0.00005/run + **$0.002/item**.

### Data source notes

- **Jackroad**: server-side rendered search (30 items/page), brand extraction from title prefix.
- **Kitamura**: internal used-goods search API, filtered to used watch category (中古時計).

Both sources are public web data; only factual product information (name, price, brand, condition) is collected.

# Actor input Schema

## `searchKeyword` (type: `string`):

ROLEX、OMEGA、SEIKOなど。空欄だとキタムラは時計全体、ジャックロードはスキップ

## `maxItems` (type: `integer`):

取得する最大商品数

## `maxPages` (type: `integer`):

各ソースで取得する最大ページ数

## `sources` (type: `string`):

カンマ区切り（jackroad,kitamura）

## `proxyConfiguration` (type: `object`):

Apifyプロキシ設定（自動）

## Actor input object example

```json
{
  "searchKeyword": "ROLEX",
  "maxItems": 100,
  "maxPages": 2,
  "sources": "jackroad,kitamura",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchKeyword": "ROLEX"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/japan-watch-market-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "searchKeyword": "ROLEX" }

# Run the Actor and wait for it to finish
run = client.actor("fruitful_quintessence/japan-watch-market-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchKeyword": "ROLEX"
}' |
apify call fruitful_quintessence/japan-watch-market-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fruitful_quintessence/japan-watch-market-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gMqdrS2evpcybSZc2/builds/SD9GoP1PoZIxfqbMV/openapi.json