# Reclo Japan Luxury Resale Listings Scraper (`maximedupre/reclo`) Actor

Collect public RECLO luxury-resale listings as structured rows. Get product IDs, titles, brands, JPY asking prices, condition grades, product pages, and primary images. Filter by brand or condition, or continue a prior crawl.

- **URL**: https://apify.com/maximedupre/reclo.md
- **Developed by:** [Maxime Dupré](https://apify.com/maximedupre) (community)
- **Categories:** E-commerce, Business, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 1,000 product listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

### 👜 RECLO luxury listings for catalog research

For resale researchers, ecommerce teams, and developers, this Actor reads RECLO's public catalog and saves one structured row for each discovered listing. Each row includes the product ID, title, brand, asking price in Japanese yen, condition grade, product page, and primary image when available. Use the rows to study the public catalog in a dataset. If the same source listing is found more than once during a run, only its first eligible occurrence is saved.

- Collect RECLO luxury listings with **[Reclo Luxury Listings](https://apify.com/maximedupre/reclo/examples/reclo-luxury-listings)** for broad resale catalog research.
- Find Gucci products with **[Reclo Gucci Listings](https://apify.com/maximedupre/reclo/examples/reclo-gucci-listings)** for a focused brand view.
- Find Chanel products with **[Reclo Chanel Listings](https://apify.com/maximedupre/reclo/examples/reclo-chanel-listings)** for a focused brand view.
- Filter the catalog by brand with **[Reclo Brand Listings](https://apify.com/maximedupre/reclo/examples/reclo-brand-listings)** for a targeted listing set.
- Review the source catalog with **[Reclo Catalog Listings](https://apify.com/maximedupre/reclo/examples/reclo-catalog-listings)** for general listing research.

#### 📋 RECLO listing rows you can use

Each saved row is one RECLO luxury-resale product listing. It keeps the source product ID, full title, brand, asking price in whole Japanese yen, RECLO condition grade, canonical product page, and primary image link when RECLO provides one.

#### ▶️ Run a focused RECLO catalog crawl

**How it works**

The Actor discovers RECLO product listings without requiring individual product URLs. It reads the publicly reachable catalog and does not cover private or account-only RECLO pages.

**Run steps**

1. Leave **Maximum listings** at its form value of 50, or enter a positive limit.
2. Add one or more brand labels if you want to focus the catalog on selected brands.
3. Add one or more RECLO condition grades if you want to focus the results on selected grades.
4. Paste a continuation value from an earlier run when you want to continue that catalog crawl.
5. Start the run and open the dataset link in the output.

**Shorten the work**

Set a smaller maximum or use a brand or condition filter when you need fewer listings to review. Leave **Maximum listings** empty to return all available listings until the source is exhausted.

**Continue a crawl**

Paste the continuation value from an earlier run to continue that catalog crawl. Leave it empty to start at the beginning.

**Duplicate listings**

When the same RECLO source listing appears again, the first eligible occurrence is saved and later sightings are ignored.

#### ⚙️ Input

Use the fields below to set the catalog scope and run size.

**Input fields**

| Field | Type | What it does |
| --- | --- | --- |
| `maxItems` | integer, optional | Stops after this many listings. The form starts with 50. Leave it empty to return all available listings until the source is exhausted. |
| `brands` | array of strings, optional | Adds one or more brand labels exactly as RECLO shows them. Leave it empty to include every brand. |
| `conditionGrades` | array of strings, optional | Adds one or more RECLO condition grades exactly as shown on the listing. Leave it empty to include every grade, including listings with no grade. |
| `continuationValue` | string, optional | Continues a catalog crawl from an earlier run. Leave it empty to start at the beginning. |

**Successful default-input example**

This is the public input from the successful current-beta default-input run.

```json
{
  "maxItems": 50
}
```

#### 🧾 Output

The run output gives a link to the dataset. The dataset contains one row for each saved RECLO product listing.

**Run output**

| Field | Type | What it does |
| --- | --- | --- |
| `dataset` | URL string | Links to the product listing rows from this run. |

This genuine link comes from the successful current-beta default-input run.

```json
{
  "dataset": "https://api.apify.com/v2/datasets/fS6rC43E4hhJHG9Vd/items?view=overview"
}
```

**Dataset rows**

| Field | Type | What it does |
| --- | --- | --- |
| `productId` | string, required | RECLO's product identifier for the listing. |
| `title` | string, required | The complete product title published by RECLO. |
| `brand` | string, required | The brand or vendor label shown by RECLO. |
| `priceJpy` | integer, required | The asking price in whole Japanese yen. |
| `conditionGrade` | string or null, required | RECLO's condition grade, or `null` when the listing has no grade. |
| `productUrl` | URL string, required | The canonical RECLO product page. |
| `primaryImageUrl` | URL string, optional | The main product image link when RECLO provides one. |

This complete row is from the same successful current-beta default-input run.

```json
{
  "productId": "15217992302964",
  "title": "ヴァーティカルロゴ Matty Boy 半袖Tシャツ コットン グレー クロムハーツ",
  "brand": "Chrome Hearts",
  "priceJpy": 84000,
  "conditionGrade": "B",
  "productUrl": "https://reclo.jp/products/1103116",
  "primaryImageUrl": "https://reclo.jp/cdn/shop/files/1103116_original.jpg?v=1786487365&width=1920"
}
```

#### 💳 Pricing

**How charging works**

This Actor uses pay-per-event pricing. The primary event charges for each product listing saved to your dataset. The Store shows the current price for your account tier.

#### 🔌 Integrations

**Dataset access**

Run the Actor in Apify Console, then use the dataset link in the output to browse or read the rows through the Apify API.

https://www.youtube.com/watch?v=bNACk1\_S\_6w\&list=PLObrtcm1Kw6MUrlLNDbK9QRg8VDJg0gOW\&index=4

#### ❓ FAQ

##### Does the Actor authenticate products or verify condition?

No. It returns RECLO's own listing data and condition grades. It does not authenticate products or provide an independent appraisal or condition check.

##### Can I collect sold or buyback records?

No. This Actor collects public RECLO product listings. It does not collect historical sold listings, buyback records, or a price history database.

##### Can I filter by more than one brand or condition grade?

Yes. Add one or more brand labels or condition grades to one catalog run. The run does not create several independently configured search batches.

##### What happens when Maximum listings is empty?

The Actor returns all available listings until the source is exhausted. Set a positive number when you want to stop earlier.

##### Can I continue an earlier catalog crawl?

Yes. Paste the continuation value from an earlier run into **Continuation value**. Leave it empty to start at the beginning.

##### What happens if the same listing is found more than once?

The first eligible occurrence is saved. Later sightings of that same RECLO source listing are ignored.

##### Do I need to add product URLs?

No. The Actor discovers RECLO listings without requiring individual product URLs.

##### What currency does `priceJpy` use?

It uses whole Japanese yen, as shown by RECLO. The Actor does not convert the asking price to another currency.

##### What is RECLO?

RECLO is the source catalog for the public luxury-resale listings collected by this Actor. The Actor keeps the listing details and links that RECLO provides.

### 📝 Changelog

**0.0: Initial release**

### 🆘 Support

For issues, questions, or feature requests, [file a ticket](https://console.apify.com/actors/maximedupre~reclo/issues) and I'll fix or implement it in less than 24h 🫡

### 🔗 Related Actors

- [Brandear Japan Luxury Buyback Price Database Scraper](https://apify.com/maximedupre/brandear) collects Brandear's public luxury buyback entries with model references and yen amounts for appraisal history.
- [Reclo Japan Luxury Resale Listings Scraper](https://apify.com/jungle_synthesizer/reclo-japan-luxury-resale-listings-scraper) provides another RECLO listing collection for comparing source data.
- [Rebag Luxury Resale Listings Scraper](https://apify.com/jungle_synthesizer/rebag-luxury-resale-listings-scraper) adds US luxury resale listings for cross-market brand and price research.
- [Vestiaire Collective Scraper — Luxury Resale Listings](https://apify.com/bovi/vestiaire-collective-scraper) adds international luxury resale listings for price and condition comparisons.
- [Ragtag Japan Designer Resale Listings Scraper](https://apify.com/jungle_synthesizer/ragtag-japan-designer-resale-listings-scraper) adds Japanese designer resale listings and yen prices for source comparisons.

**Made with ❤️ by Maxime Dupré**

# Actor input Schema

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

Stop after this many listings. Leave it empty to return all available listings until the source is exhausted.

## `brands` (type: `array`):

Optional. Add one or more brand labels exactly as RECLO shows them. Leave it empty to include every brand.

## `conditionGrades` (type: `array`):

Optional. Add one or more RECLO condition grades exactly as shown on the listing. Leave it empty to include every grade, including listings with no grade.

## `continuationValue` (type: `string`):

Optional. Paste a continuation value from an earlier run to continue that catalog crawl. Leave it empty to start at the beginning.

## Actor input object example

```json
{
  "maxItems": 50
}
```

# Actor output Schema

## `dataset` (type: `string`):

A link to the product listings from this run.

# 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 = {
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("maximedupre/reclo").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 = { "maxItems": 50 }

# Run the Actor and wait for it to finish
run = client.actor("maximedupre/reclo").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 '{
  "maxItems": 50
}' |
apify call maximedupre/reclo --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,maximedupre/reclo"
        }
    }
}

```

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/0lrlN57cBEwxb6tz0/builds/ACh4YqLk5wKD7pfce/openapi.json