# The 1916 Company Luxury Watch Scraper (`lulzasaur/the1916company-scraper`) Actor

Scrape luxury watch listings from The 1916 Company (formerly WatchBox). Per-watch data: title, brand, model, reference number, price, condition, year, box/papers, case size, material, dial, movement, image and URL. Search by keyword or browse the full catalog.

- **URL**: https://apify.com/lulzasaur/the1916company-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 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

## The 1916 Company Luxury Watch Scraper

Scrape **luxury watch listings** from [The 1916 Company](https://www.the1916company.com) (formerly **WatchBox**, merged with Govberg, Hyde Park & Radcliffe) — one of the world's largest retailers of pre-owned, Certified Pre-Owned (including **Rolex CPO**) and new luxury watches: Rolex, Patek Philippe, Audemars Piguet, Omega, Cartier, F.P. Journe, A. Lange & Söhne and dozens more.

Perfect for **watch dealers, collectors, resellers, arbitrage traders, price-comparison sites, and market researchers** who need real-time luxury watch pricing and inventory with box/papers and condition data.

### What it does

- **Search** the catalog by free-text query (`rolex submariner`, `patek philippe nautilus`, `omega speedmaster`, …) — one query or many.
- **Browse the entire catalog** (7,000+ watches) by passing a single empty query `""`.
- **Filter to pre-owned only** with the `preOwnedOnly` toggle.
- Returns clean structured JSON via the site's own product API — no fragile HTML parsing.

### Output fields

Each watch listing includes:

| Field | Description |
|---|---|
| `productId` / `sku` | Site product ID and original SKU |
| `title`, `name`, `brand`, `model`, `collection` | e.g. Rolex / Submariner / Oyster Perpetual Submariner Date |
| `referenceNumber` | Manufacturer reference (e.g. `16610`, `5711/1A`) |
| `price`, `salePrice`, `currency`, `onSale`, `orderable` | Listed price in USD |
| `condition`, `isPreOwned` | `New`, `Pre-Owned`, or `Certified Pre-Owned` (incl. Rolex CPO) |
| `year` | Year of manufacture |
| `hasBox`, `hasPapers`, `hasWarranty`, `warranty` | Original box / papers / warranty flags |
| `caseSize`, `material`, `bandMaterial`, `dialColor`, `movement`, `complication`, `waterResistance`, `powerReserve` | Full specs |
| `gender`, `style`, `manufacturedIn` | Additional attributes |
| `description` | Dealer's condition and inclusion notes |
| `image`, `images` | High-res product photos |
| `url` | Direct product page link |
| `datePosted`, `searchQuery`, `scrapedAt` | Metadata |

### Example output

```json
{
  "productId": "ns-cpo-5065878",
  "title": "Rolex Oyster Perpetual Submariner Date",
  "brand": "Rolex",
  "model": "Submariner",
  "referenceNumber": "16610",
  "price": 11450,
  "currency": "USD",
  "condition": "Certified Pre-Owned",
  "year": 2000,
  "hasBox": false,
  "hasPapers": false,
  "caseSize": "40mm",
  "material": "Stainless Steel",
  "url": "https://www.the1916company.com/shop/ns-cpo-5065878.html"
}
```

### Input

```json
{
  "searchQueries": ["rolex submariner", "patek philippe nautilus"],
  "maxResults": 100,
  "preOwnedOnly": false,
  "scrapeDetails": true
}
```

- **searchQueries** — one or more keyword searches; a single `""` browses everything.
- **maxResults** — cap on total listings returned (across all queries).
- **preOwnedOnly** — exclude brand-new stock.
- **scrapeDetails** — fetch full specs + box/papers flags (batched, adds very little time; recommended on).
- **proxyConfiguration** — off by default; the product API is open and direct access is most reliable.

### Use cases

- **Price arbitrage** — compare 1916 Company asking prices vs Chrono24, Bezel, Bob's Watches, eBay sold comps.
- **Market research** — track Rolex CPO premiums, box/papers price impact, inventory velocity by brand.
- **Inventory feeds** — power price-comparison and alerting tools with structured live listings.
- **Collectors** — monitor for specific references and get notified via scheduled runs.

### Notes

- Data comes from the retailer's public storefront product API (Salesforce Commerce Cloud) — fast and robust.
- Typical run: 100 fully-detailed listings in well under a minute.
- This actor is not affiliated with The 1916 Company. Use responsibly and respect the site's terms of service.

# Actor input Schema

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

One or more free-text searches, e.g. 'rolex submariner', 'patek philippe nautilus', 'omega speedmaster'. Leave a single empty string "" to browse the ENTIRE catalog (7,000+ watches).

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

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

## `preOwnedOnly` (type: `boolean`):

Only return pre-owned / certified pre-owned watches (excludes brand-new stock).

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

Fetch full product details (box/papers flags, dial color, movement, water resistance, long description). Efficient: details are fetched in batches of 24 per API call, so this adds very little time. Recommended ON.

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

Proxy settings. The 1916 Company's Salesforce Commerce API is open and works best with direct access — leave the proxy OFF unless you need to distribute very large volumes.

## Actor input object example

```json
{
  "searchQueries": [
    "rolex submariner"
  ],
  "maxResults": 100,
  "preOwnedOnly": false,
  "scrapeDetails": true,
  "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"
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/the1916company-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"],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/the1916company-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"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call lulzasaur/the1916company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lulzasaur/the1916company-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/qrJD6ZMw6J1kZUGNl/builds/hybF91UkqHi5Y8mee/openapi.json