# Chronext Scraper — Watch Prices, Brand, Ref & Condition (`memo23/chronext-scraper`) Actor

Unlock the vault of luxury timepieces: Chronext Scraper delivers precision data on exclusive watches, empowering your market analysis and decision-making in the high-end horological world.

- **URL**: https://apify.com/memo23/chronext-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Lead generation, E-commerce
- **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.25 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Chronext.de Scraper

### Overview

This scraper is designed to extract watch data from the Chronext website (https://www.chronext.de/kaufen). It collects detailed information about luxury watches, including their specifications, pricing, and availability.

### How it works

The scraper starts from the provided URL and navigates through the product listings, extracting data for each watch. It handles pagination automatically and respects the site's structure and any rate limiting requirements.

### Features

- Extracts detailed watch information including name, price, condition, specifications, and images
- Handles pagination to scrape multiple pages of results
- Configurable maximum number of items to scrape
- Adjustable concurrency settings for optimal performance
- Proxy support for improved reliability and to avoid IP blocks

### How to Use

1. Set up the Chronext Scraper in your Apify account.
2. Configure the input parameters as needed:
   - Set the Start URLs (default is https://www.chronext.de/kaufen)
   - Adjust Max Items if you want to limit the number of scraped watches
   - Modify Max Concurrency and Min Concurrency based on your needs
   - Configure concurrency settings based on your needs and the website's limitations
3. Set up proxy configuration if needed (recommended for large-scale scraping)
4. Run the actor and wait for it to finish
5. Retrieve the scraped data from the actor's dataset in your preferred format (JSON, CSV, etc.)

### Available Input Parameters

- **Start URLs**: The initial URL(s) to start scraping from. Default: https://www.chronext.de/kaufen
- **Max Items** (optional): Maximum number of items to scrape. Default: 100
- **Max Concurrency** (optional): Maximum number of concurrent requests. Default: 2
- **Min Concurrency** (optional): Minimum number of concurrent requests. Default: 1
- **Max Request Retries** (optional): Maximum number of retries for failed requests. Default: 8

### Input Data

Here's a simple example of how to set up input parameters for the Chronext Scraper:

```json
{
    "startUrls": [
        {
            "url": "https://www.chronext.de/kaufen"
        }
    ],
    "maxItems": 50,
    "maxConcurrency": 10,
    "minConcurrency": 1,
    "maxRequestRetries": 3,
    "proxy": {
        "useApifyProxy": true
    }
}
```

### Output Structure

The scraper outputs data in JSON format. Here's an example of the structure for each watch:

```json
{
    "name": "Rolex Explorer II 16570 (A10372_V65900)",
    "sku": "A10372_V65900",
    "price": 924000,
    "strikePrice": "UNKNOWN",
    "discountedPrice": "UNKNOWN",
    "currency": "EUR",
    "isOnStock": true,
    "images": [
        "https://cdn-products.chronext.com/V/6/V65900/V65900_1_det.png",
        "https://cdn-products.chronext.com/V/6/V65900/V65900_1.png",
        "https://cdn-products.chronext.com/V/6/V65900/V65900_2.jpg",
        "https://cdn-products.chronext.com/V/6/V65900/V65900_3.jpg",
        "https://cdn-products.chronext.com/V/6/V65900/V65900_4.jpg"
    ],
    "condition": "Sehr Gut",
    "reference": "16570",
    "model": "Explorer II",
    "brand": "rolex",
    "diameter": 40,
    "year": 1993,
    "box": "Original-Box",
    "papers": "Originalpapiere CHRONEXT-Zertifikat",
    "url": "https://www.chronext.de/rolex/explorer-ii/16570/V65900"
}
```

### Output Fields Explanation

- `name`: Full name of the watch
- `sku`: Stock Keeping Unit, a unique identifier for the product
- `price`: Price in cents (divide by 100 to get the actual price)
- `strikePrice`: Original price if discounted, "UNKNOWN" if not applicable
- `discountedPrice`: Discounted price if available, "UNKNOWN" if not applicable
- `currency`: Currency of the price (e.g., "EUR")
- `isOnStock`: Boolean indicating if the watch is in stock
- `images`: Array of image URLs for the watch
- `condition`: Condition of the watch (e.g., "Sehr Gut" meaning "Very Good")
- `reference`: Reference number of the watch model
- `model`: Model name of the watch
- `brand`: Brand of the watch (lowercase)
- `diameter`: Diameter of the watch face in millimeters
- `year`: Year of manufacture
- `box`: Information about the box included
- `papers`: Information about papers or certificates included
- `url`: URL of the specific watch listing

### Support

- Me: <https://muhamed-didovic.github.io/>
- [Report an issue](https://console.apify.com/actors/uPE5wAyaxhWiacZp3/issues)
- [Share your experience](https://console.apify.com/actors/uPE5wAyaxhWiacZp3/issues)
- Request customization or whole dataset: [muhamed.didovic@gmail.com](mailto:muhamed.didovic@gmail.co)
- If you need anything else scraped, or this actor customized email me: <muhamed.didovic@gmail.com>
- If you'd like an API of this service (no apify fee, just usage fee for the API), contact me: <muhamed.didovic@gmail.com>

### 🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the [Apify MCP server](https://mcp.apify.com) or the Apify API (actor: `memo23/chronext-scraper`).

**Purpose:** Extract luxury watch listings from Chronext.de (chronext.de/kaufen) — one dataset row per watch with pricing, condition, reference, and images.

**Minimal input:**

```json
{
    "startUrls": [{ "url": "https://www.chronext.de/kaufen" }],
    "maxItems": 20,
    "proxy": { "useApifyProxy": true }
}
```

**Output:** one dataset row per watch — name, sku, price, strikePrice, discountedPrice, currency, isOnStock, images, condition, reference, model, brand, diameter, year, box, papers, url.

**Behaviors an agent should know:**

- Always set maxItems; an uncapped run paginates the entire /kaufen catalog (thousands of watches).
- startUrls drives the crawl — point it at /kaufen for the full catalog, or a filtered brand/model listing URL to narrow scope.
- price is an integer in minor units (cents): 924000 = EUR 9240.00.
- Tune throughput with maxConcurrency / minConcurrency; enable proxy (useApifyProxy) for reliable access.
- Billing: Pay-per-event billing — see the Pricing tab on the actor page.

### ⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by CHRONEXT Service Germany GmbH or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

The scraper accesses only publicly available watch listing pages on chronext.de — no authenticated endpoints, paid features, or content behind a login wall. Users are responsible for ensuring their use complies with chronext.de's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organization.

### SEO Keywords

chronext scraper, scrape chronext, chronext.de scraper, chronext API, Apify chronext, luxury watch scraper, watch listing scraper, watch price scraper, pre-owned watch data, watch marketplace scraper, Rolex price data, watch inventory export, luxury goods data, watch resale intelligence, watch market analysis, secondhand watch data

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxItems` (type: `integer`):

Maximum number of items to scrape.

## `maxConcurrency` (type: `integer`):

Maximum number of pages that can be processed at the same time.

## `minConcurrency` (type: `integer`):

Minimum number of pages that will be processed at the same time.

## `maxRequestRetries` (type: `integer`):

Number of times the crawler will retry a failed request before giving up.

## `proxy` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.<br><br>For details, see <a href='https://apify.com/apify/web-scraper#proxy-configuration' target='_blank' rel='noopener'>Proxy configuration</a> in README.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.chronext.de/kaufen"
    }
  ],
  "maxItems": 50,
  "maxConcurrency": 10,
  "minConcurrency": 1,
  "maxRequestRetries": 8,
  "proxy": {
    "useApifyProxy": true
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.chronext.de/kaufen"
        }
    ],
    "proxy": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("memo23/chronext-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.chronext.de/kaufen" }],
    "proxy": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("memo23/chronext-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.chronext.de/kaufen"
    }
  ],
  "proxy": {
    "useApifyProxy": true
  }
}' |
apify call memo23/chronext-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,memo23/chronext-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/uPE5wAyaxhWiacZp3/builds/XrATIaQcod0CZYC7G/openapi.json