β Watchfinder Luxury Watch Scraper [From π°$0.60/1K]
Pricing
from $3.00 / 1,000 results
β Watchfinder Luxury Watch Scraper [From π°$0.60/1K]
[From $0.60/1K] Scrape pre-owned luxury watches from Watchfinder & Co. (.com, .co.uk, .de, .fr, .ch, .hk) β including brand, series, reference number, year, box/papers, and price.
Pricing
from $3.00 / 1,000 results
Rating
0.0
(0)
Developer
Khan
Maintained by CommunityActor stats
0
Bookmarked
7
Total users
3
Monthly active users
4 hours ago
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[From $0.60/1K] Scrape pre-owned luxury watches from Watchfinder & Co. (.com, .co.uk, .de, .fr, .ch, .hk) β including brand, series, reference number, year, box/papers, and price.
Extract pre-owned luxury watch listings from Watchfinder & Co. in clean, structured format. Export results to Excel, CSV, JSON, or connect directly via the Apify API, Google Sheets, Make, Zapier, or n8n.
β¨ Key Features
| Feature | Why It Matters |
|---|---|
| Complete Watch Provenance | Extracts brand, series, exact reference number, production year, and box/papers inclusion status. |
| Multi-Region Domain Support | Supports Watchfinder US (.com), UK (.co.uk), DE (.de), FR (.fr), CH (.ch), and HK (.com.hk). |
| Zero Proxy Setup | Automatic anti-bot handling and regional currency extraction with zero external proxy configuration. |
π§ How to Use
- Open β Watchfinder Luxury Watch Scraper [From π°$0.60/1K] in Apify Console.
- Enter your target URL(s) or parameters in the input form (for example:
https://www.watchfinder.com/Rolex/Submariner/watches). - Set the maximum number of items you want to collect.
- Click Start and wait for the run to complete.
- Download your dataset in JSON, CSV, Excel (
.xlsx), or HTML table format from the Output or Dataset tab.
βοΈ Input Parameters
| Field | Type | Description |
|---|---|---|
Start URLs (startUrls) | array | Watchfinder category, brand, or search URLs (e.g. https://www.watchfinder.com/Rolex/Submariner/watches). |
Max Watches (maxItems) | integer | Maximum number of watch listings to collect. |
Example Input JSON
{"startUrls": [{"url": "https://www.watchfinder.com/Rolex/Submariner/watches"}],"maxItems": 50}
π¦ Output Schema & Sample Record
Each item saved to the default Dataset follows a consistent structure:
{"id": "wf_289104","stockId": "289104","brand": "Rolex","series": "Submariner","model": "126610LN","name": "Rolex Submariner 126610LN","price": "$12,850","priceNumeric": 12850,"currency": "USD","year": "2023","box": "Yes","papers": "Yes","url": "https://www.watchfinder.com/Rolex/Submariner/126610LN/item/289104","image": "https://images.watchfinder.co.uk/watch/289104.jpg","scrapedAt": "2026-10-15T12:00:00Z"}
π― Popular Use Cases
- Cross-Market Luxury Watch Arbitrage β Compare Watchfinder inventory (with box & papers) against Chrono24 and Bob's Watches
- Reference Price Tracking β Monitor price movements by reference number and production year across US, UK, and EU markets
- Automated Dealer Feeds β Export clean watch inventory tables directly to Excel, CSV, BigQuery, or Airtable
π° Pricing & Free Tier
This Actor uses Pay-Per-Event (Pay-Per-Result) pricing with a $0.00 Actor start fee β you only pay for results successfully delivered to your dataset:
| Apify Plan | Price per 1,000 Results | Price per Result | Per-Run Limit |
|---|---|---|---|
| Free Plan | $5.00 / 1K | $0.0050 | Up to 40 results / run |
| Starter (Bronze) | $1.20 / 1K | β | Unlimited |
| Scale (Silver) | $0.85 / 1K | β | Unlimited |
| Business+ (Gold / Platinum / Diamond) | $0.60 / 1K | β | Unlimited |
π API Integration Examples
Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("misterkhan/watchfinder-listing-scraper").call(run_input={"startUrls": [{"url": "https://www.watchfinder.com/Rolex/Submariner/watches"}],"maxItems": 50})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Node.js (apify-client)
import { ApifyClient } from "apify-client";const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });const run = await client.actor("misterkhan/watchfinder-listing-scraper").call({"startUrls": [{"url": "https://www.watchfinder.com/Rolex/Submariner/watches"}],"maxItems": 50});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
β FAQ
Q: Do I need to configure proxies? A: No. Anti-blocking and regional proxy routing are handled automatically with zero proxy setup required.
Q: Can I schedule recurring runs? A: Yes. Use Apify Schedules to run this Actor hourly, daily, or weekly and push updates via webhook or integration.
Q: What formats can I export data to?
A: Every run produces a structured Apify Dataset that can be downloaded as JSON, CSV, Excel (.xlsx), XML, or RSS.
π Related Actors from Our Store
Combine this Actor with our other 128 MB Pay-Per-Event (PPE) tools in the same workflow ($0.00 start fee):
| Related Actor | Best For | Starting Price |
|---|---|---|
| π°οΈ Chrono24 Listings Scraper | Global luxury watch marketplace listings β brand, reference number, price & dealer | From π°$0.80 / 1K |
| β Bob's Watches Rolex Scraper | Certified pre-owned Rolex inventory β reference numbers, condition, year & USD prices | From π°$0.60 / 1K |
π See all Actors by misterkhan on Apify Store β
π§ββοΈ Legal Disclaimer
This Actor extracts publicly available web data and is not affiliated with, endorsed by, or sponsored by Watchfinder & Co.. Users are responsible for complying with applicable laws and website terms of use.