# Jackroad Watches Scraper — Japan Used & Resale Market Data API (`fruitful_quintessence/jackroad-used-watch-scraper`) Actor

Jackroad Used Luxury Watch Scraper — A scraper for Jackroad (a major Japanese used-luxury-watch dealer) that extracts structured listing data for pre-owned and vintage watches—brands include Rolex, Omega, Cartier and others—optimized for price monitoring, reseller arbitrage, and market research.

- **URL**: https://apify.com/fruitful_quintessence/jackroad-used-watch-scraper.md
- **Developed by:** [atushi ino](https://apify.com/fruitful_quintessence) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Jackroad Used Luxury Watch Scraper

**Scrape pre-owned Rolex, Omega, Cartier and more from one of Japan's largest watch dealers – Jackroad. Ideal for price monitoring, reseller arbitrage, and market research.**

> 💡 **For cross-shop comparison**, use the [Japan Watch Market Scraper](https://apify.com/fruitful_quintessence/japan-watch-market-scraper) — it compares Jackroad against Kitamura used watches in a single dataset.

### Output Sample

```
{"productId": "ABC123", "title": "Rolex Submariner", "price": "1,234,000", "brand": null, "condition": "中古", "stockStatus": "在庫あり", "productUrl": "https://www.jackroad.co.jp/shop/g/gABC123/", "imageUrl": "https://example.com/img.jpg", "scrapedAt": "2024-05-01T12:00:00.000Z"}

{"productId": "DEF456", "title": "OMEGA Speedmaster", "price": "850,000", "brand": null, "condition": "ヴィンテージ", "stockStatus": "商談中", "productUrl": "https://www.jackroad.co.jp/shop/g/gDEF456/", "imageUrl": null, "scrapedAt": "2024-05-01T12:05:00.000Z"}
```

### Input

- `keyword` (string, required): Brand name or keyword to search. Examples: `ROLEX`, `OMEGA`, `カルティエ`
- `classification` (string, optional): `"0"` for new items (新品), `"2"` for used/vintage (中古/ヴィンテージ). Default: `"2"`
- `maxItems` (integer, optional): Maximum number of products to scrape (1–500). Default: `100`
- `proxyConfiguration` (object, optional): Apify proxy configuration for reliable scraping

### Use Cases

- **Rolex price monitoring** – Track daily price changes for used Rolex models.
- **Japan used luxury watch arbitrage** – Identify underpriced vintage watches for resale.
- **Vintage watch inventory tracking** – Keep an eye on stock status and availability of hard‑to‑find pieces.

### Integrations

- **Apify + Google Sheets** – Export scraped data to a Google Sheet for live price analysis.
- **Apify + Slack** – Send alerts when a specific watch drops below your target price.
- **Apify + Postgres** – Store historical price data for long‑term market research.

### Pricing

This actor runs on Apify’s **pay‑per‑use** model. You are charged based on compute units consumed. Visit [Apify Pricing](https://apify.com/pricing) for details.

### Limitations

- Only listing page data is extracted. Product detail pages are **not** fetched.
- The parser relies on the current HTML structure of Jackroad. If the site changes its markup, the actor may require updates.
- Product condition detection is basic and may not capture all possible variants.

### FAQ

#### Can I scrape Rolex prices?

Yes. Enter `ROLEX` as the `keyword`, adjust `maxItems`, and run the actor. Prices are collected from the listing pages.

#### Is this allowed?

The actor is designed for personal research and price monitoring. Always respect the target website's terms of service and robot.txt. Use official APIs where available.

#### Can I get individual watch specifications like movement or serial number?

Not with this actor. It only extracts what is visible on the search result listing. For detailed specifications, consider an additional detail‑page scraper.

### Changelog

- **v0.0.1** – Initial release
  - Scrape Jackroad search result listings
  - Extract product ID, title, price, condition, stock status, URL, image URL, and timestamp
  - Supports keyword search, classification filter, and max items limit
  - Optional proxy support via Apify proxy configuration

# Actor input Schema

## `keyword` (type: `string`):

Brand name or keyword to search. Examples: ROLEX, OMEGA, カルティエ

## `classification` (type: `string`):

Select product condition. 0 = New (新品), 2 = Used/Vintage (中古/ヴィンテージ). Note: classification=2 on Jackroad returns vintage/used watches.

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

Maximum number of products to scrape (up to 500).

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

Proxy servers used for scraping. Use Apify proxy or custom proxies.

## Actor input object example

```json
{
  "classification": "2",
  "maxItems": 100
}
```

# Actor output Schema

## `productId` (type: `string`):

Product ID

## `title` (type: `string`):

Product title

## `price` (type: `string`):

Price in JPY

## `brand` (type: `string`):

Watch brand

## `condition` (type: `string`):

Product condition

## `stockStatus` (type: `string`):

Stock status

## `productUrl` (type: `string`):

Product URL

## `imageUrl` (type: `string`):

Image URL

## `scrapedAt` (type: `string`):

Scrape timestamp

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/jackroad-used-watch-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("fruitful_quintessence/jackroad-used-watch-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 '{}' |
apify call fruitful_quintessence/jackroad-used-watch-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fruitful_quintessence/jackroad-used-watch-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/nWf9BR2ndMTYqKxNB/builds/RH36zqjzGTHEA1DEv/openapi.json