Chrono24 Listings Scraper — Search & Detail avatar

Chrono24 Listings Scraper — Search & Detail

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from $1.25 / 1,000 results

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Chrono24 Listings Scraper — Search & Detail

Chrono24 Listings Scraper — Search & Detail

Scrape Chrono24 watch listings from search, brand, and detail URLs — price, currency, brand, model, specs, images, and dealer business contact when published on the listing.

Pricing

from $1.25 / 1,000 results

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0.0

(0)

Developer

Bakos Bence

Bakos Bence

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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What does Chrono24 Watch Listings Scraper do?

Scrape Chrono24 watch listings from search, brand, and detail URLs into structured rows: price, currency, brand, model, specs, images, and dealer business contact when the listing or dealer page publishes it.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Chrono24 GmbH. It reads public Chrono24 listing pages only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Export datasets, schedule monitoring runs, or call via API / MCP.

Other price-monitoring scrapers: Shopify Products Scraper for DTC boutiques and eMAG Product Scraper for CEE marketplace SKUs. Fashion resale / retail: Vestiaire Collective Scraper, Grailed Listings Scraper, H&M Product Scraper.

Why use this Chrono24 scraper?

  • ⌚ Search / brand / listing URL support in one Actor
  • 💶 Prices kept with currency
  • 🔧 Spec fields aligned with popular Store Actors (listingId, specs_*, …)
  • 📞 Dealer business contactcontactPhone, contactEmail, and dealer profile URL when the shop publishes them (no private-seller PII)
  • 🔁 Optional detail fetch for richer listing pages
  • 🛡️ Apify Proxy recommended for reliable runs

What data can you extract from Chrono24?

Public listing facts such as listing id, title, brand, model, price, currency, condition, year, location, images, structured spec fields, and dealer business contact when published.

Use cases

WhoWhat they build
Dealers / analystsMarket price tracking
CollectorsWatch for specific references
Data teamsLuxury watch listing feeds

How to scrape Chrono24 listings

  1. Open the Actor in Apify Console.
  2. Paste one or more Chrono24 startUrls (search, brand, or detail).
  3. Set maxItems / maxIndexPages; optionally enable fetchListingDetails.
  4. Enable Apify Proxy.
  5. Run and export JSON/CSV.

How much does it cost?

PPE: Actor start + each listing result. Configured around $2.49 / 1,000 on Free (lower on paid plans) — confirm on the Pricing tab.

Input

startUrls (required), optional filters (priceFrom / priceTo, sortorder, …), fetchListingDetails, maxIndexPages, maxItems, proxy.

Sample output

{
"rowType": "card",
"listingId": "47341084",
"listingUrl": "https://www.chrono24.com/rolex/submariner-date-116610ln--id47341084.htm",
"title": "Rolex Submariner Date 116610LN",
"brand": "Rolex",
"model": "Submariner Date 116610LN",
"price": 11495.0,
"currency": "USD",
"thumbnail": "https://img.chrono24.com/images/uhren/example-ExtraLarge.jpg"
}

Search cards include listingId, price with currency, title/brand/model, and URL. Optional fetchListingDetails adds specs_* and dealer business contact when published.

FAQ

Do you include seller phone or email?

Only dealer business contact published on the listing or dealer profile (contactPhone, contactEmail, sellerProfileUrl). Private-seller names, personal phones, and personal emails are omitted.

Something broke or a field is missing?

Open an Issue on this Actor’s Apify page — we watch that tab.

Can AI agents call this?

Yes — Apify API or MCP with Actor ID bakos_bence/chrono24-listings.

Also tracking Shopify or eMAG prices?

Chrono24 is listing-level watch data. For Shopify product catalogs use Shopify Products Scraper; for eMAG category/search pages use eMAG Product Scraper.

ActorUse together when…
Shopify Products ScraperYou run multi-source retail price monitoring (boutiques + watches)
eMAG Product ScraperYou also scrape CEE ecommerce listings alongside luxury watches
Vestiaire Collective ScraperYou add designer resale next to watches / Shopify catalogs
Grailed Listings ScraperYou add streetwear resale listings
H&M Product ScraperYou anchor against fast-fashion retail prices
Chrono24 Watch Listings Scraper(this Actor) — search/brand/detail URLs, dealer contact when public

Profile: bakos_bence on Apify

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Purpose: Scrape public Chrono24 listings from search/brand/detail URLs with dealer contact when public.

Minimal input:

{
"startUrls": ["https://www.chrono24.com/search/index.htm?query=Rolex&dosearch=true"],
"maxItems": 20,
"proxy": { "useApifyProxy": true }
}

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

  1. In Apify Console, open Settings → Integrations and copy an API token.
  2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
  3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):
https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

  1. Open Power BI Desktop → HomeGet dataWeb.
  2. Paste the CSV URL (including token=).
  3. When asked how to sign in, choose AnonymousConnect.
  4. Confirm the preview is a table (CSV). Load or Transform data as needed.
  5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

  1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
  2. ConnectTo a ServerREST API.
  3. Paste the CSV URL (including token=). Set response format to CSV.
  4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
  5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

  1. Create a Google Sheet. In A1 enter:
=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")
  1. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
  2. In Looker Studio → CreateReportGoogle Sheets → select that spreadsheet / tab.
  3. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

  1. In Qlik Cloud / Qlik Sense → Add dataREST (or create a REST connection in the Data load editor).
  2. URL = the CSV URL including token=. Method GET.
  3. Set the expected response type to CSV (or use format=json and JSON mode).
  4. Test connection, pick the table, Add / Load.
  5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

SEO keywords

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