# Watchfinder & Co. Scraper (`crawlergang/watchfinder-scraper`) Actor

Scrape Watchfinder.com - the UK's premier pre-owned luxury watch marketplace. Browse watches by brand, condition, price, and box/papers status. Get detailed watch specifications including reference number, movement, and year.

- **URL**: https://apify.com/crawlergang/watchfinder-scraper.md
- **Developed by:** [Crawler Gang](https://apify.com/crawlergang) (community)
- **Categories:** Automation, E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 11 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

## Watchfinder & Co. Scraper

Extract pre-owned luxury watch listings from [Watchfinder & Co.](https://www.watchfinder.com) — one of the UK's most respected certified pre-owned watch dealers. Browse by brand, search by keyword, explore newly added watches, or filter by price range. Each record includes brand, model, reference, price, condition, box and papers status, year, and images.

### Features

- **Browse by brand** — retrieve all listings for a specific watch brand
- **Search by keyword** — find specific models by name or reference
- **Newly added** — latest watches added to the catalogue
- **Price range** — browse all watches within a budget
- **Filter by box/papers** — narrow to watches with original box or papers
- **Filter by year range** — find watches from specific production periods
- **Filter by price range** — minimum and maximum GBP price
- **Automatic pagination** — fetches across multiple pages up to `maxItems`
- **Omit-empty output** — no null, empty string, or empty array fields in any record

### Input

| Field | Type | Description |
|---|---|---|
| `mode` | select | `byBrand` · `search` · `newlyAdded` · `byPriceRange` |
| `brand` | select | Brand slug for `byBrand` mode (e.g. `Rolex`, `Omega`) |
| `keyword` | string | Search term — model name or reference number |
| `minPrice` | integer | Minimum price in GBP |
| `maxPrice` | integer | Maximum price in GBP |
| `boxRequired` | boolean | Only return watches with original box |
| `papersRequired` | boolean | Only return watches with original papers |
| `minYear` | integer | Minimum production year |
| `maxYear` | integer | Maximum production year |
| `maxItems` | integer | Maximum number of results (1–1000, default 50) |

#### Example inputs

**Browse all Rolex watches:**

```json
{
  "mode": "byBrand",
  "brand": "Rolex",
  "maxItems": 50
}
```

**Search for Omega Seamaster with box and papers:**

```json
{
  "mode": "search",
  "keyword": "Omega Seamaster",
  "boxRequired": true,
  "papersRequired": true,
  "maxItems": 30
}
```

**Browse newly added Breitling watches under £5,000:**

```json
{
  "mode": "newlyAdded",
  "brand": "Breitling",
  "maxPrice": 5000,
  "maxItems": 50
}
```

### Output

Each record represents one watch listing.

| Field | Type | Description |
|---|---|---|
| `stockRef` | string | Watchfinder internal stock reference |
| `brand` | string | Brand name (e.g. `Rolex`, `Omega`) |
| `model` | string | Model name (e.g. `Submariner Date`) |
| `reference` | string | Manufacturer reference number |
| `dialColour` | string | Dial colour |
| `caseMaterial` | string | Case material (e.g. `Steel`, `18ct Gold`) |
| `braceletMaterial` | string | Bracelet/strap material |
| `yearOfProduction` | integer | Year the watch was produced |
| `condition` | string | Condition description |
| `hasBox` | boolean | Whether original box is included |
| `hasPapers` | boolean | Whether original papers are included |
| `price` | integer | Price in GBP |
| `currency` | string | Currency code (`GBP`) |
| `imageUrl` | string | Primary product image URL |
| `watchUrl` | string | Direct link to the listing on Watchfinder |

#### Example record

```json
{
  "stockRef": "WF123456",
  "brand": "Rolex",
  "model": "Submariner Date",
  "reference": "126610LN",
  "dialColour": "Black",
  "caseMaterial": "Oystersteel",
  "yearOfProduction": 2021,
  "condition": "Excellent",
  "hasBox": true,
  "hasPapers": true,
  "price": 12500,
  "currency": "GBP",
  "imageUrl": "https://www.watchfinder.com/media/watches/rolex/submariner.jpg",
  "watchUrl": "https://www.watchfinder.com/Rolex/Submariner-Date/WF123456"
}
```

### Supported Brands

Rolex, Omega, Breitling, TAG Heuer, IWC, Patek Philippe, Audemars Piguet, Jaeger-LeCoultre, Cartier, Longines, Tudor, Panerai, Hublot, A. Lange & Söhne, Vacheron Constantin, and many more.

### FAQs

**Do I need an account or API key?**
No. The scraper accesses Watchfinder's publicly available listing pages.

**What currency are prices in?**
Prices are in GBP (British Pounds) — Watchfinder is a UK-based retailer.

**What does "box and papers" mean?**
Original box and papers (certificates of authenticity, warranty cards) add value to pre-owned watches. Use `boxRequired: true` or `papersRequired: true` to filter for complete sets.

**How is condition described?**
Watchfinder provides detailed condition descriptions for each watch, indicating wear level and any servicing history.

**How many watches are available?**
Watchfinder carries thousands of watches across all major brands. Use `maxItems` to control how many you retrieve.

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

## `brand` (type: `string`):

Watch brand to browse (mode=byBrand), e.g. Rolex, Omega, Breitling.

## `keyword` (type: `string`):

Brand or model name to search.

## `minPrice` (type: `integer`):

Filter: minimum price.

## `maxPrice` (type: `integer`):

Filter: maximum price.

## `boxRequired` (type: `boolean`):

Only include watches with original box.

## `papersRequired` (type: `boolean`):

Only include watches with original papers.

## `minYear` (type: `integer`):

Filter: minimum year of manufacture.

## `maxYear` (type: `integer`):

Filter: maximum year of manufacture.

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

Maximum number of watches to return.

## Actor input object example

```json
{
  "mode": "byBrand",
  "brand": "Omega",
  "boxRequired": false,
  "papersRequired": false,
  "maxItems": 50
}
```

# Actor output Schema

## `watches` (type: `string`):

Dataset containing all scraped Watchfinder watches.

# 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 = {
    "mode": "byBrand",
    "brand": "Omega",
    "boxRequired": false,
    "papersRequired": false,
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlergang/watchfinder-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 = {
    "mode": "byBrand",
    "brand": "Omega",
    "boxRequired": False,
    "papersRequired": False,
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlergang/watchfinder-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 '{
  "mode": "byBrand",
  "brand": "Omega",
  "boxRequired": false,
  "papersRequired": false,
  "maxItems": 50
}' |
apify call crawlergang/watchfinder-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/7GR1ajOJXkPix4iTy/builds/QrPSc7DzkbJrWio5S/openapi.json