# Bezel Luxury Watch Marketplace Scraper (`lulzasaur/bezel-scraper`) Actor

Scrape pre-owned luxury watch listings from Bezel (getbezel.com). Per-listing data: title, brand, model, reference number, price, condition, year, box/papers, specs, seller ID, image and listing URL. Search by query like 'rolex submariner' or browse the whole marketplace.

- **URL**: https://apify.com/lulzasaur/bezel-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 96.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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

## Bezel Luxury Watch Marketplace Scraper

Scrape pre-owned **luxury watch listings** from [Bezel](https://getbezel.com) — a curated, authenticated marketplace for Rolex, Patek Philippe, Omega, Cartier, Audemars Piguet, Tudor and 60+ other brands. Get clean, structured, per-listing data for every live watch for sale.

Perfect for **watch dealers, collectors, resellers, arbitrage traders, price-comparison sites, and market researchers** who need real-time pre-owned watch pricing and inventory.

### What it does

- **Search** the Bezel catalog by free-text query (`rolex submariner`, `patek nautilus`, `omega speedmaster`, …) — one query or many.
- **Browse the entire marketplace** by passing a single empty query `""`.
- Returns **every live listing** for each matching model, with price, condition, year, box/papers, reference number, specs, seller ID, image, and a direct listing URL.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQueries` | array of strings | Free-text searches. Use `[""]` to browse the whole marketplace. Default `["rolex submariner"]`. |
| `maxResults` | integer | Max listings across all queries combined. Default `100`. |
| `scrapeDetails` | boolean | Fetch each listing's full detail record (extra call per listing). Usually unnecessary — the list payload is already rich. Default `false`. |
| `proxyConfiguration` | object | Proxy settings. Residential recommended for large runs. |

#### Example input

```json
{
  "searchQueries": ["rolex submariner", "omega speedmaster"],
  "maxResults": 200,
  "scrapeDetails": false,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Output

Each dataset item is one watch listing:

```json
{
  "listingId": 284703,
  "title": "Prince Oysterdate Submariner Snowflake 40 Steel / Black / Strap",
  "brand": "Tudor",
  "model": "Prince Oysterdate Submariner Snowflake 40 Steel / Black / Strap",
  "series": "Princess Oysterdate",
  "referenceNumber": "9411/0",
  "priceUsd": 9575,
  "priceCents": 957500,
  "currency": "USD",
  "condition": "PREOWNED",
  "year": 1982,
  "boxPapers": false,
  "accessories": [],
  "offersAllowed": true,
  "pricingModel": "FIXED_PRICE",
  "status": "PUBLISHED",
  "caseSizeMm": 40,
  "caseMaterial": "Steel",
  "dialColor": "Black",
  "movementType": "Automatic",
  "gender": "Unisex",
  "sellerId": 2538,
  "image": "https://getbezel.mo.cloudinary.net/production/....jpeg",
  "url": "https://shop.getbezel.com/watches/tudor/prince-oysterdate-submariner-snowflake-40-steel-black-strap/ref-9411-0/listing/id-284703",
  "modelId": 29302,
  "listed": "2026-05-06T06:08:58.000+00:00",
  "updated": "2026-06-30T17:05:48.000+00:00",
  "searchQuery": "submariner",
  "source": "getbezel.com",
  "scrapedAt": "2026-07-03T00:00:00.000Z"
}
```

#### Field notes

- **`priceUsd`** — the listed asking price (USD). `priceCents` is the raw integer.
- **`condition`** — Bezel's condition label (e.g. `PREOWNED`, `NEW`).
- **`boxPapers`** — `true` if the listing includes original box and/or papers/warranty. Full items are in `accessories`.
- **`sellerId`** — Bezel exposes only the numeric seller id publicly (no seller name).
- **`url`** — direct link to the public listing page.

### How it works

Bezel's shop (`shop.getbezel.com`) is a Next.js app backed by a public JSON API. This Actor calls `catalog/search` to resolve models, then `listingsForModel` for every live listing per model — no headless browser, no HTML parsing, fast and stable.

### Notes

- Data belongs to Bezel and its sellers. Respect their terms; use responsibly.
- Prices and inventory change frequently — re-run to refresh.

# Actor input Schema

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

One or more free-text searches, e.g. 'rolex submariner', 'patek nautilus', 'omega speedmaster'. Each query is matched against Bezel's catalog and every live listing for the matching models is returned. Leave a single empty string "" to browse the entire marketplace.

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

Maximum number of watch listings to return across all queries combined. Default 100.

## `scrapeDetails` (type: `boolean`):

Fetch each listing's full detail record (extra API call per listing). The list payload is already rich (price, condition, year, box/papers, images), so this is usually unnecessary — enable only if you want the most complete data. Slower.

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

Proxy settings. Bezel's JSON API is open, but residential proxy is recommended for large runs to avoid rate limits.

## Actor input object example

```json
{
  "searchQueries": [
    "rolex submariner",
    "omega speedmaster"
  ],
  "maxResults": 100,
  "scrapeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (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 submariner",
        "omega speedmaster"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/bezel-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 submariner",
        "omega speedmaster",
    ],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/bezel-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 submariner",
    "omega speedmaster"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call lulzasaur/bezel-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lulzasaur/bezel-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mVAkUJtRtxCFWtPYK/builds/eJIBqlkjfU4Xy9ks1/openapi.json