# The Luxury Closet Scraper - Pre-Owned Luxury Prices (`lulzasaur/theluxurycloset-scraper`) Actor

Scrape TheLuxuryCloset.com pre-owned luxury listings: Hermes, Chanel, Louis Vuitton, Rolex handbags, watches, jewelry & more. Get title, brand, category, condition, price, retail price, discount, images, URL. Filter by brand, category, condition. Fast JSON API. Structured output.

- **URL**: https://apify.com/lulzasaur/theluxurycloset-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 listing scrapeds

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

## The Luxury Closet Scraper — Pre-Owned Luxury Listings & Prices

Scrape **[The Luxury Closet](https://theluxurycloset.com)**, one of the largest pre-owned luxury resale marketplaces (~580,000 live listings): **Hermès, Chanel, Louis Vuitton, Rolex, Cartier, Gucci, Dior** handbags, watches, fine jewelry, shoes, clothes and accessories.

Get clean, structured JSON for every listing: title, brand, category, condition grade, asking price, original retail price, computed discount, images and direct product URL.

### Why this scraper?

- **Fast & reliable** — reads the site's own JSON listing API. No browser, no HTML parsing fragility.
- **Search anything** — free-text search ("hermes birkin", "chanel classic flap", "rolex datejust").
- **Filter server-side** — by brand (1,300+ brands resolved by name), category (women's handbags, men's watches, fine jewelry...) and condition (Pristine / Excellent / Good / Fair).
- **Price intelligence** — asking price in USD plus original retail price and discount % when available. Perfect for resale comps, arbitrage and luxury market analytics.

### Use cases

- **Resale price comps** for Hermès/Chanel/LV handbags and Rolex watches
- **Arbitrage monitoring** — find under-priced listings vs. retail or other resale platforms
- **Luxury market research** — brand mix, condition distribution, price ranges over time
- **Inventory feeds** for aggregators, deal alert bots and dropshipping tools

### Input

| Field | Type | Description |
|---|---|---|
| `searchQueries` | array | Free-text searches, e.g. `["hermes birkin", "rolex"]`. Optional if filters are set. |
| `category` | select | Site section: `women-handbags`, `men-watches`, `women-fine-jewelry`, `women`, `men`, ... (default `all`). |
| `brands` | array | Brand names, e.g. `["Chanel", "Louis Vuitton"]` — resolved to site brand IDs automatically. |
| `conditions` | array | Any of `Pristine`, `Excellent`, `Good`, `Fair`. |
| `maxResults` | integer | Max listings per query (default 100). |
| `minPrice` / `maxPrice` | number | Price bounds in USD. |
| `onSaleOnly` | boolean | Only listings with a known retail price above asking (computable discount). |

#### Example input

```json
{
    "searchQueries": ["chanel classic flap"],
    "category": "women-handbags",
    "conditions": ["Pristine", "Excellent"],
    "maxResults": 100
}
```

### Output

One dataset record per listing:

```json
{
    "productId": 1234567,
    "title": "Hermes Birkin 30 Vert Platane Togo Leather Gold Hardware",
    "brand": "Hermes",
    "category": "Women",
    "subcategory": "Women's Handbags",
    "productType": "Totes",
    "condition": "Excellent",
    "color": "Green",
    "price": 18754.5,
    "originalRetailPrice": 24500,
    "discountPercent": 23.45,
    "currency": "USD",
    "availability": "Available",
    "image": "https://cdn.theluxurycloset.com/uploads/opt/products/full/....jpg",
    "images": ["..."],
    "url": "https://theluxurycloset.com/women/hermes-birkin-30-...-p1234567",
    "searchQuery": "hermes birkin",
    "scrapedAt": "2026-08-12T00:00:00.000Z"
}
```

### FAQ

**Do I need proxies?** No — the actor talks to the site's public JSON API directly.

**What currency are prices in?** USD (US storefront pricing).

**How many results can I get?** Up to ~580k listings site-wide; use `maxResults` plus search/filters to scope runs.

**Is this legal?** The actor only collects publicly visible listing data (no accounts, no personal data). You are responsible for how you use the data.

# Actor input Schema

## `searchQueries` (type: `array`):

Search terms (e.g. 'rolex', 'hermes birkin', 'chanel classic flap', 'louis vuitton neverfull'). Leave empty to browse by category/brand filters only.

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

Restrict results to one category section of the site.

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

Filter by brand names (e.g. 'Chanel', 'Hermes', 'Louis Vuitton', 'Rolex', 'Cartier', 'Gucci', 'Dior'). Resolved server-side against The Luxury Closet's brand list.

## `conditions` (type: `array`):

Filter by condition. Valid values: Pristine, Excellent, Good, Fair.

## `maxResults` (type: `integer`):

Maximum number of listings to scrape per query (each API page returns up to 60).

## `minPrice` (type: `number`):

Only return listings at or above this price in USD.

## `maxPrice` (type: `number`):

Only return listings at or below this price in USD.

## `onSaleOnly` (type: `boolean`):

Only return listings with a known original retail price higher than the asking price (i.e. a computable discount).

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

Proxy settings. The Luxury Closet's JSON API normally works without proxies.

## Actor input object example

```json
{
  "searchQueries": [
    "rolex"
  ],
  "category": "all",
  "maxResults": 100,
  "onSaleOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "searchQueries": [
        "rolex"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/theluxurycloset-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 = { "searchQueries": ["rolex"] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/theluxurycloset-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 '{
  "searchQueries": [
    "rolex"
  ]
}' |
apify call lulzasaur/theluxurycloset-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/theluxurycloset-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/y4EWikZxyQ8EExUdH/builds/jtWVqnmqljvPEzgqR/openapi.json