# 日本二手乐器市场 — 跨店比价（Digimart+Ishibashi） (`fruitful_quintessence/japan-used-instrument-market-cn`) Actor

- **URL**: https://apify.com/fruitful\_quintessence/japan-used-instrument-market-cn.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/actors/running/actors-in-store.md#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

## 日本二手乐器市场 — 跨店比价（Digimart+Ishibashi）

**日本最大の楽器ECデジマートとイシバシ楽器の中古楽器価格を横断比較。Fender、Gibsonなどのギター・ベース・アンプ。**

> 🇯🇵 English/日本語版: [Japan Market](https://apify.com/fruitful_quintessence)

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `searchKeyword` | string | `Fender` | 搜索关键词 |
| `maxItems` | integer | 100 | 最大获取件数 |
| `maxPages` | integer | 2 | 每个来源的最大页数 |
| `sources` | string | `digimart,ishibashi` | 数据来源（逗号分隔） |
| `proxyConfiguration` | object | — | Apify proxy |

### Output Sample

```json
{
  "productId": "DS10679928",
  "title": "Made in Japan Limited Active Modern Stratocaster HSS フェンダー",
  "brand": "Fender",
  "category": "エレキギター",
  "price": 275000,
  "condition": "新品",
  "inStock": true,
  "shopName": "イシバシ楽器 デジマート店",
  "imageUrl": "https://img.digimart.net/prdimg/s/2b/daef69e60a8b5ba9d6147894732cc4f424264d.jpg",
  "productUrl": "https://www.digimart.net/",
  "source": "ishibashi",
  "shop": "Ishibashi",
  "scrapedAt": "2026-08-10T10:00:00Z"
}
```

### Use Cases

- 代购/转卖: 发现低价商品，赚取差价
- 行情调研: 追踪特定型号的市场价格走势
- 库存监控: 监控店铺的库存变化

### Pricing

按事件计费 — $0.00005/次运行 + **$0.002/条数据**

### Data Source

仅收集公开的商品信息（名称、价格、品牌、库存状态）。

# Actor input Schema

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

Search keyword

## `statsMode` (type: `boolean`):

ON にすると個別データをスキップして相場統計のみ出力します

## `statsKeyword` (type: `string`):

タイトル部分一致でフィルタ（statsMode时に使用）

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

Max items to collect

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

Max pages per source

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

Comma-separated sources

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

Apify proxy configuration

## Actor input object example

```json
{
  "searchKeyword": "Fender",
  "statsMode": false,
  "statsKeyword": "",
  "maxItems": 100,
  "maxPages": 2,
  "sources": "digimart,ishibashi",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Title

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

Price

## `detailUrl` (type: `string`):

Detailurl

## `shop` (type: `string`):

Shop

## `statsType` (type: `string`):

Statstype

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

Keyword

## `count` (type: `string`):

Count

## `priceMin` (type: `string`):

Pricemin

## `priceMax` (type: `string`):

Pricemax

## `priceAvg` (type: `string`):

Priceavg

## `priceMedian` (type: `string`):

Pricemedian

## `sampleItems` (type: `string`):

Sampleitems

## `collectedAt` (type: `string`):

Collectedat

# 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": "Fender",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/japan-used-instrument-market-cn").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": "Fender",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("fruitful_quintessence/japan-used-instrument-market-cn").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": "Fender",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call fruitful_quintessence/japan-used-instrument-market-cn --silent --output-dataset

```

## MCP server setup

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

```

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/p279xuzqUvvLROE7O/builds/Z6uPpiksCoJ4TCHvr/openapi.json