⌚ Watchfinder Luxury Watch Scraper [From πŸ’°$0.60/1K] avatar

⌚ Watchfinder Luxury Watch Scraper [From πŸ’°$0.60/1K]

Pricing

from $3.00 / 1,000 results

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⌚ Watchfinder Luxury Watch Scraper [From πŸ’°$0.60/1K]

⌚ Watchfinder Luxury Watch Scraper [From πŸ’°$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

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0.0

(0)

Developer

Khan

Khan

Maintained by Community

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0

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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.


✨ Key Features

FeatureWhy It Matters
Complete Watch ProvenanceExtracts brand, series, exact reference number, production year, and box/papers inclusion status.
Multi-Region Domain SupportSupports Watchfinder US (.com), UK (.co.uk), DE (.de), FR (.fr), CH (.ch), and HK (.com.hk).
Zero Proxy SetupAutomatic anti-bot handling and regional currency extraction with zero external proxy configuration.

🧭 How to Use

  1. Open ⌚ Watchfinder Luxury Watch Scraper [From πŸ’°$0.60/1K] in Apify Console.
  2. Enter your target URL(s) or parameters in the input form (for example: https://www.watchfinder.com/Rolex/Submariner/watches).
  3. Set the maximum number of items you want to collect.
  4. Click Start and wait for the run to complete.
  5. Download your dataset in JSON, CSV, Excel (.xlsx), or HTML table format from the Output or Dataset tab.

βš™οΈ Input Parameters

FieldTypeDescription
Start URLs (startUrls)arrayWatchfinder category, brand, or search URLs (e.g. https://www.watchfinder.com/Rolex/Submariner/watches).
Max Watches (maxItems)integerMaximum number of watch listings to collect.

Example Input JSON

{
"startUrls": [
{
"url": "https://www.watchfinder.com/Rolex/Submariner/watches"
}
],
"maxItems": 50
}

πŸ“¦ 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"
}

  • 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

πŸ’° 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 PlanPrice per 1,000 ResultsPrice per ResultPer-Run Limit
Free Plan$5.00 / 1K$0.0050Up to 40 results / run
Starter (Bronze)$1.20 / 1Kβ€”Unlimited
Scale (Silver)$0.85 / 1Kβ€”Unlimited
Business+ (Gold / Platinum / Diamond)$0.60 / 1Kβ€”Unlimited

πŸ”Œ API Integration Examples

Python (apify-client)

from apify_client import ApifyClient
client = 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);

❓ 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.


Combine this Actor with our other 128 MB Pay-Per-Event (PPE) tools in the same workflow ($0.00 start fee):

Related ActorBest ForStarting Price
πŸ•°οΈ Chrono24 Listings ScraperGlobal luxury watch marketplace listings β€” brand, reference number, price & dealerFrom πŸ’°$0.80 / 1K
⌚ Bob's Watches Rolex ScraperCertified pre-owned Rolex inventory β€” reference numbers, condition, year & USD pricesFrom πŸ’°$0.60 / 1K

πŸ‘‰ See all Actors by misterkhan on Apify Store β†’


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.