⌚ Bob's Watches Rolex Scraper [From πŸ’°$0.60/1K] avatar

⌚ Bob's Watches Rolex Scraper [From πŸ’°$0.60/1K]

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from $3.00 / 1,000 results

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⌚ Bob's Watches Rolex Scraper [From πŸ’°$0.60/1K]

⌚ Bob's Watches Rolex Scraper [From πŸ’°$0.60/1K]

[From $0.60/1K] Scrape pre-owned Rolex, Omega, Tudor, and luxury watch inventory from BobsWatches.com β€” including model names, reference numbers, prices, condition, and product URLs.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Khan

Khan

Maintained by Community

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0

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6

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3

Monthly active users

4 hours ago

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[From $0.60/1K] Scrape pre-owned Rolex, Omega, Tudor, and luxury watch inventory from BobsWatches.com β€” including model names, reference numbers, prices, condition, and product URLs.

Extract certified pre-owned watch listings from BobsWatches.com 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
Reference & SKU ExtractionCaptures exact Rolex/Omega model numbers (e.g. 16610, 126610LN), SKUs, and product categories.
Real-Time Pricing & StockExtracts live USD asking prices, watch condition grades, and in-stock status across paginated categories.
Zero Proxy ConfigurationBuilt-in residential routing and anti-blocking included automatically at no extra proxy cost.

🧭 How to Use

  1. Open ⌚ Bob's Watches Rolex 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.bobswatches.com/rolex-submariner-1.html).
  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)arrayBob's Watches category, brand, or search URLs (e.g. https://www.bobswatches.com/rolex-submariner-1.html).
Max Watches (maxItems)integerMaximum number of watch listings to extract.

Example Input JSON

{
"startUrls": [
{
"url": "https://www.bobswatches.com/rolex-submariner-1.html"
}
],
"maxItems": 50
}

πŸ“¦ Output Schema & Sample Record

Each item saved to the default Dataset follows a consistent structure:

{
"id": "bw_16610_99281",
"itemId": "99281",
"sku": "16610-SS",
"name": "Rolex Submariner 16610 Black Dial",
"brand": "Rolex",
"category": "Submariner",
"modelNumber": "16610",
"price": 8995,
"currency": "USD",
"condition": "Pre-Owned",
"inStock": true,
"url": "https://www.bobswatches.com/rolex-submariner-16610.html",
"image": "https://images.bobswatches.com/rolex-submariner-16610.jpg",
"scrapedAt": "2026-10-15T12:00:00Z"
}

  • Secondary Watch Market Index β€” Track daily pre-owned Rolex, Omega, and Patek Philippe asking prices by reference number
  • Dealer Arbitrage & Inventory Alerts β€” Compare Bob's Watches retail pricing against Chrono24 and Watchfinder
  • Collector Portfolio Valuation β€” Feed live reference prices into Google Sheets, Airtable, or PostgreSQL

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/bobswatches-listing-scraper").call(run_input={
"startUrls": [
{
"url": "https://www.bobswatches.com/rolex-submariner-1.html"
}
],
"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/bobswatches-listing-scraper").call({
"startUrls": [
{
"url": "https://www.bobswatches.com/rolex-submariner-1.html"
}
],
"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
⌚ Watchfinder Luxury Watch ScraperPre-owned luxury watch inventory across global Watchfinder domains β€” box/papers & yearFrom 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 BobsWatches.com. Users are responsible for complying with applicable laws and website terms of use.