Chrono24 Watch Scraper

$2.50 / 1 000 results — pay only for results, no credit card to try.

Scrape Chrono24 luxury watch listings by brand or specific model page: model name, reference number, price, condition, year of production, and seller location. Point it at a brand slug and it does the dirty work so your dataset stays clean.

🔎 What this scrapes

Chrono24 brand and model index pages, plus (optionally) each listing's detail page — one row per watch listing, with brand, model, reference number, price, condition, year, seller location, and a canonical listing URL.

🔥 Features

• Discover listings by brand slug (rolex, omega, patek-philippe, …) or scope to a specific model taxonomy page.
• Optional detail-page enrichment for reference number, condition, year of production, and seller country/city.
• 🌐 We rotate residential proxies through Apify Proxy on every block — fresh session, fresh exit IP, pinned to your chosen country.
• 🔁 We retry with exponential backoff and rotate browser fingerprints when the target pushes back.
• 🧊 Clean, Pydantic-validated rows with stable ids and ISO-8601 timestamps — dedup'd automatically within a run.

💡 Use cases

• Watch dealers and appraisers tracking active listing pools for a brand or reference.
• Insurers building resale/replacement-value comparables.
• Market researchers monitoring pricing trends across watch brands.

⚙️ How to use it

1. Add one or more brand slugs (or specific model URLs) to the input.
2. Choose whether to enrich each listing with its detail page.
3. Run the Actor — results land in the default dataset.

📥 Input

Field	Type	Default	Description
brands	array of strings	[]	Chrono24 brand URL slugs, e.g. "rolex". At least one of brands / modelUrls is required.
modelUrls	array of strings	—	Specific Chrono24 model taxonomy pages to scope discovery.
maxResultsPerTarget	integer	120	Cap on rows collected per brand or model URL.
enrichDetails	boolean	true	Fetch each listing's detail page for reference/condition/year/location.
proxyCountryCode	string	"US"	ISO-3166 alpha-2 pinned to the proxy session.
runTimeoutSeconds	integer	1200	Wall-clock budget for the run.
proxyConfiguration	object	RESIDENTIAL	Apify Proxy configuration.

{
  "brands": ["rolex"],
  "maxResultsPerTarget": 120,
  "enrichDetails": true,
  "proxyCountryCode": "US",
  "runTimeoutSeconds": 1200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

📤 Output

One dataset row per watch listing:

{
  "id": "47176512",
  "brand": "rolex",
  "model_name": "Rolex Datejust Datejust Factory Grey Tapestry Dial Steel 36mm Jubilee 16234",
  "reference_number": "16234",
  "price": 6999.0,
  "currency": "USD",
  "condition": "Very good",
  "year_of_production": 1990,
  "seller_country": "United States",
  "seller_city": "New York",
  "image_url": "https://cdn2.chrono24.com/images/uhren/47176512-abc123.jpg",
  "listing_url": "https://www.chrono24.com/rolex/datejust--id47176512.htm",
  "source_target": "rolex",
  "scraped_at": "2026-08-10T14:32:07.512381+00:00"
}

💰 Pricing

Pay-Per-Event — you're only charged for what lands in your dataset.

Event	Price
Actor start	$0.01 per run
Result scraped	$0.00249 per listing row

At 1,000 rows: $2.50 — no subscription, no per-page fees.

🚧 Limitations

• Free-text search on Chrono24 is not a usable data source (client-rendered); discovery is by brand slug or model taxonomy page only.
• Only the .com English/US storefront is covered in this version.
• No price-history or sold-listing archives — active listings only.
• No seller-profile enrichment (ratings, response time, inventory count).

❓ FAQ

Can I scrape a specific model instead of a whole brand? Yes — pass a Chrono24 model taxonomy URL (--mod<N>.htm) in modelUrls.

Why is a field null? Enrichment fields (reference_number, condition, year_of_production, seller_country, seller_city) are only populated when enrichDetails is true, and are best-effort per listing — one unparseable detail page never blocks the rest of your run.

Do I need my own proxy? No — Apify Proxy (residential) is wired in by default.

🗣️ Your feedback

Found a bug or have a feature request? Open an issue via apify.com/DevilScrapes — we read every message and ship fixes fast.