# BIGLEMON Japan Used Construction Machinery (`fruitful_quintessence/biglemon-machinery-scraper`) Actor

Scrape used construction machinery listings from BIGLEMON (biglemon.kenkey.jp): forklifts, wheel loaders, dump trucks, crawler cranes and more, with price, year, maker and category.

- **URL**: https://apify.com/fruitful\_quintessence/biglemon-machinery-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

## BIGLEMON Japan Used Construction Machinery Scraper

Scrape used construction machinery, forklifts, and trucks from **[biglemon.kenkey.jp](https://biglemon.kenkey.jp)** — a Japanese marketplace for used heavy equipment.

### Features

- ✅ Server‑side rendered page – fast and cheap
- ✅ Extracts item ID, title, maker, model, year, price, category, image, detail URL
- ✅ Optional category filter (e.g., `建設機械`, `運搬車両`, `農業機械`)
- ✅ Runs on Apify proxy – reduces IP blocking
- ✅ Works without a browser (Python + httpx + BeautifulSoup)

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `maxItems` | integer | 50 | Maximum number of items to collect |
| `categoryFilter` | string | empty | Substring filter for the category field (e.g. `建設機械`). Empty = all |
| `proxyConfiguration` | object | auto | Apify proxy setting |

### Output

Each item contains: `itemId`, `title`, `maker`, `model`, `year`, `price` (JPY), `category`, `imageUrl`, `detailUrl`, `listedAt`, `source`, `scrapedAt`.

Example:

```json
{
  "itemId": "162468",
  "title": "マツダ TKG-LKR85AD",
  "maker": "マツダ",
  "model": "TKG-LKR85AD",
  "year": "2013",
  "price": 0,
  "category": "ダンプ車",
  "detailUrl": "https://biglemon.kenkey.jp/item/162468",
  "source": "biglemon"
}
```

### Use Cases

- 🏗️ Heavy equipment inventory tracking
- 📊 Pricing research for used forklifts, excavators, wheel loaders, etc.
- 🚛 Import/export business research

### Tech

- Python 3.11 + httpx + BeautifulSoup
- Apify Actor SDK v3

# Actor input Schema

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

取得する最大台数

## `categoryFilter` (type: `string`):

建設機械 or 運搬車両 or 農業機械 などで部分一致フィルタ。空欄=全件

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

Apifyプロキシ設定（自動）

## Actor input object example

```json
{
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `itemId` (type: `string`):

Item ID from BIGLEMON

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

Combined maker + model

## `maker` (type: `string`):

Manufacturer name

## `model` (type: `string`):

Machine model designation

## `year` (type: `string`):

Manufacturing year (4-digit)

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

Total price in yen

## `currency` (type: `string`):

JPY

## `category` (type: `string`):

Machine category

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

Machine image URL

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

Listing page URL

## `listedAt` (type: `string`):

Publish date (if available)

## `source` (type: `string`):

biglemon

## `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 = {
    "categoryFilter": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("fruitful_quintessence/biglemon-machinery-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 = { "categoryFilter": "" }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fruitful_quintessence/biglemon-machinery-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/W9cXhDckzHd9RZWnQ/builds/NvcqjEgW5uL4NWMGg/openapi.json