# Bob's Watches Scraper - Used Rolex & Luxury Watch Prices (`lulzasaur/bobswatches-scraper`) Actor

Scrape pre-owned luxury watch listings from BobsWatches.com. Get model, reference number, price, condition, year, box & papers, dial, metal, image, and URL. Includes Bob's market price index (retail vs buy price) per reference. Search by brand and model.

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

## Bob's Watches Scraper - Used Rolex & Luxury Watch Prices

Scrape pre-owned luxury watch listings and market price data from [BobsWatches.com](https://www.bobswatches.com), one of the largest used Rolex and luxury watch marketplaces. Perfect for resellers, collectors, watch-flippers, price-tracking apps, and market-research teams.

### What it does

Given one or more brand/model queries (e.g. `rolex submariner`, `omega speedmaster`, `tudor black bay`), the Actor collects:

- **Full watch listings** — name, brand, model, reference number, SKU, asking price, condition, year, dial color, metal, bezel, movement, box & papers, image, and listing URL.
- **Market price index** — for the searched model, Bob's published reference table of retail price vs. Bob's buy price, per reference number. Great for spotting arbitrage and tracking depreciation.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQueries` | array | Brand + model queries, e.g. `["rolex submariner", "omega speedmaster"]`. Also accepts a category path (`used-rolex/datejust`) or a full URL. Brand defaults to Rolex. |
| `maxResults` | integer | Max listings to scrape across all queries. `0` = unlimited. Default `50`. |
| `scrapeDetails` | boolean | Visit each listing page to add the full description. Slower. Default `false`. |
| `includePriceIndex` | boolean | Also output the market price index rows. Default `true`. |
| `proxyConfiguration` | object | Proxy settings. Residential recommended (Cloudflare). Defaults to Apify residential. |

#### Example input

```json
{
    "searchQueries": ["rolex submariner", "rolex datejust"],
    "maxResults": 100,
    "scrapeDetails": false,
    "includePriceIndex": true,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

### Output

Listing record:

```json
{
    "name": "Used Oystersteel & 18k Yellow Gold Rolex Submariner ref 116613LB Bluesy",
    "brand": "Rolex",
    "modelName": "Submariner",
    "referenceNumber": "116613LB",
    "sku": "190567 PL",
    "price": 16995,
    "priceCurrency": "USD",
    "condition": "Used",
    "availability": "InStock",
    "year": "2010 - Present",
    "boxAndPapers": "Box and Papers",
    "hasBox": true,
    "hasPapers": true,
    "metalType": "Steel and Gold",
    "dialColor": "Blue",
    "bezelType": "Timing",
    "movementType": "Automatic",
    "ratingValue": 4.94,
    "ratingCount": 18,
    "imageUrl": "https://www.bobswatches.com/images/zUsed-Rolex-Submariner-116613-SKU190567-PL.jpg",
    "listingUrl": "https://www.bobswatches.com/used-...-bluesy.html",
    "scrapedAt": "2026-06-24T19:00:00.000Z"
}
```

Price-index record (`recordType: "priceIndex"`):

```json
{
    "recordType": "priceIndex",
    "reference": "126613 Blue",
    "retailPriceText": "$119,450",
    "retailPrice": 119450,
    "buyPriceText": "$20,995",
    "buyPrice": 20995,
    "query": "rolex submariner",
    "scrapedAt": "2026-06-24T19:00:00.000Z"
}
```

### Notes

- Data is extracted from the site's embedded JSON-LD structured data, so it is clean and stable.
- Bob's Watches is behind Cloudflare bot protection; the Actor uses Apify residential proxies by default.
- Pricing: pay per result in the default dataset, plus a small per-run start fee.

### Disclaimer

This Actor collects publicly available data for personal and research use. Respect BobsWatches.com's terms of service and applicable laws.

# Actor input Schema

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

Brand + model queries to scrape, e.g. 'rolex submariner', 'omega speedmaster', 'tudor black bay'. You may also pass a category path ('used-rolex/datejust') or a full Bob's Watches URL. Brand defaults to Rolex when omitted.

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

Maximum number of watch listings to scrape across all queries. Set to 0 for unlimited (all available). Price-index rows do not count toward this limit. Default is 50.

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

If enabled, visit each listing's detail page to add the full description. Slower and uses more requests. Most fields are already captured from the listing pages.

## `includePriceIndex` (type: `boolean`):

Also output Bob's Watches market price index rows (reference number, retail price, and Bob's buy price) for the searched model. Emitted as records with recordType 'priceIndex'.

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

Proxy settings. Bob's Watches uses Cloudflare bot protection, so residential proxies are recommended (the Actor defaults to Apify residential proxies when none is set).

## Actor input object example

```json
{
  "searchQueries": [
    "rolex submariner"
  ],
  "maxResults": 50,
  "scrapeDetails": false,
  "includePriceIndex": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 submariner"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/bobswatches-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"] }

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

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/tJ89Mui7PgVcZjCDc/builds/l1vlD4tiDXqNYe5Mt/openapi.json