# LDLC Product Scraper (Pay Per Result) (`123webdata/ldlc-scraper`) Actor
A scraper for LDLC to collect electronics product data, specifications, and prices from both category and item pages. Great for price monitoring, reporting, and AI model training. Pricing: $0.005/result. 10 results on free trial.
- **URL**: https://apify.com/123webdata/ldlc-scraper.md
- **Developed by:** [Milán Vásárhelyi](https://apify.com/123webdata) (community)
- **Categories:** E-commerce, Other
- **Stats:** 8 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$5.00 / 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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## LDLC.com Scraper
This actor scrapes product data from [LDLC.com](https://www.ldlc.com/), a leading French computer and electronics retailer.
### Issues and feature requests
If you encounter any issue, or you'd like us to change or add anything, please open an issue in the actor page or write to us directly at hello@123webdata.com
### Output Example (simplified)
The actor provides a convenient overview mode that displays the most important product information in a tabular format. Here's an example of how the data looks in the overview mode:
| Image | Product URL | Product Name | Current Price | Regular Price | Currency | Description | Scraped At |
|-------|-------|-------|-------|-------|-------|-------|-------|
| 
| https://www.ldlc.com/en/product/PB00612912.html | Intel Core i7-14650HX 16 GB... | 1499.00 | 0 | EUR | High performance and perfec... | 2025-07-21 |
| 
| https://www.ldlc.com/en/product/PB00690429.html | Intel Core i3-1220P 16 GB S... | 719.00 | 0 | EUR | Altyk, keeping mobile compu... | 2025-07-21 |
| 
| https://www.ldlc.com/en/product/PB00581496.html | Intel Core i3-1315U 8GB SSD... | 659.00 | 0 | EUR | A powerful laptop for profe... | 2025-07-21 |
### Features
- Scrapes detailed product information from LDLC.com product pages
- Extracts data from both individual product URLs and category pages
- Follows pagination links on category pages (optional)
- Supports various product categories with specific fields like brand, price, and category
### Input
The actor accepts the following input parameters:
| Field | Type | Description |
|-------|------|-------------|
| `productUrls` | array | List of LDLC.com product URLs to scrape |
| `categoryUrls` | array | List of LDLC.com category URLs to scrape |
| `maxResultsPerScrape` | integer | Maximum number of results to extract (default: 1000) |
| `usePagination` | boolean | Whether to follow pagination links on category pages (default: true) |
### Output Example (full)
The actor outputs data in the following structure:
```json
{
"url": "https://www.ldlc.com/en/product/PB00612912.html",
"name": "Intel Core i7-14650HX 16 GB SSD 1 TB 16\" LED QHD+ 165 Hz NVIDIA GeForce RTX 4070 8 GB DLSS 3 Wi-Fi 7/Bluetooth Webcam Windows 11 Home",
"price": 1499,
"regular_price": 0,
"currency": "EUR",
"in_stock": true,
"sku": "AORUS 16X ASG-53FRC54SH",
"mpn": "AORUS 16X ASG-53FRC54SH",
"gtin": "4719331759179",
"brand": "AORUS",
"breadcrumbs": [
"Gaming laptop",
"Office laptop",
"Professional laptop",
"Ultrabook",
"2-in-1 laptop",
"VR Ready laptop",
"Touchscreen laptop",
"OLED laptop",
"SSD laptop",
"13 inch laptop",
"14 inch laptop",
"15 to 16 inch laptop",
"17 inch laptop",
"4K laptop",
"i3 laptop",
"i5 laptop",
"i7 laptop",
"i9 laptop",
"ASUS ROG",
"ASUSPRO",
"ASUS ZenBook",
"Asus Vivobook",
"ASUS TUF",
"Acer Swift",
"Microsoft Surface Pro",
"Lenovo IdeaPad",
"Lenovo ThinkPad",
"MSI Katana"
],
"main_image": "https://media.ldlc.com/r705/ld/products/00/06/10/50/LD0006105014_0006132914.jpg",
"images": [
"https://media.ldlc.com/r80/ld/products/00/06/10/50/LD0006105016_0006132916.jpg",
"https://media.ldlc.com/r80/ld/products/00/06/10/50/LD0006105014_0006132914.jpg",
"https://media.ldlc.com/r80/ld/products/00/06/10/50/LD0006105017_0006132917.jpg",
"https://media.ldlc.com/r80/ld/products/00/06/10/50/LD0006105015_0006132915.jpg",
"https://media.ldlc.com/r80/ld/products/00/06/13/78/LD0006137839.jpg",
"https://media.ldlc.com/bo/images/fiches/pc_portables/gigabyte/aorus_16x/802.jpg",
"https://media.ldlc.com/bo/images/fiches/pc_portables/gigabyte/aorus_16x/801.jpg",
"https://media.ldlc.com/bo/images/fiches/pc_portables/gigabyte/aorus_16x/803.jpg",
"https://media.ldlc.com/r705/ld/products/00/06/10/50/LD0006105016_0006132916.jpg",
"https://media.ldlc.com/r705/ld/products/00/06/10/50/LD0006105014_0006132914.jpg",
"https://media.ldlc.com/r705/ld/products/00/06/10/50/LD0006105017_0006132917.jpg",
"https://media.ldlc.com/r705/ld/products/00/06/10/50/LD0006105015_0006132915.jpg",
"https://media.ldlc.com/r705/ld/products/00/06/13/78/LD0006137839.jpg"
],
"description": "High performance and perfect gaming comfort\n\nThe AORUS 16X Gamer laptop offers high performance and a comfortable display. Thanks to the use of generative artificial intelligence, it offers improved efficiency. Ai Nexus, a seamless AI experience for gamers and creators, takes power management, gaming performance and generative AI software to a new level.\n\nIntel Core i7-14650HX processor\n\nThe 14th-generation Intel Core HX series processors deliver an outstanding immersive experience for intensive gaming and creation, with extended core technology, immersive experiences, and more.core technology, enhanced immersive experiences and platform acceleration innovations. These processors offer enhanced performance designed to deliver immersive experiences. They use a high-performance hybrid architecture that combines two microarchitectures of cores on a single chip.\n\nNVIDIA GeForce RTX 4070\n\nNVIDIA GeForce RTX 40 series notebook graphics chips are perfect for gamers and creators. Built with the ultra-efficient NVIDIA Ada Lovelace architecture, they deliver a quantum leap in performance with AI-powered DLSS 3 and enable realistic virtual worlds with full ray tracing. In addition, the Max-Q technology suite optimises system performance, power, battery life and acoustics for maximum efficiency.\n\nGamer QHD+ display with 165 Hz frame rate\n\nWith an image frequency of 165 Hz, the screen of the AORUS 15 notebook PC offers a highly fluid display. By combining high-performance components with an ultra-smooth display, this Gamer laptop will give you the gaming experience you're looking for, with fast, detailed movement and improved gaming performance. With the added bonus of a slim 3mm bezel, immersion is total!\n\nKey features :\n\nIntel Core i7-14650HX processor (8 Performance-Cores 2.2 GHz / 5.2 GHz Turbo + 8 Efficient-Cores 1.6 GHz / 3.7 GHz Turbo - 24 Threads - 30 MB Cache)\n16 GB DDR5 5600 MHz SO-DIMM memory (2 slots for a maximum of 64 GB)\n16\" screen in 16/10 format with QHD+ resolution and 165 Hz display frequency\nNVIDIA GeForce RTX 4070 graphics chip with 8 GB GDDR6 memory (2175 MHz - 140W)\n1 TB M.2 PCIe SSD + 1 free M.2 PCIe 4.0 x4 slot\nGamer keyboard with 3-zone RGB backlighting\nHigh-performance wireless communication Wi-Fi 7 + Bluetooth 5.4\nWINDFORCE Infinity high-performance heat dissipation system\n240 watt power adapter (100 watt power delivery)\nWindows 11 Home",
"color": null,
"size": "16 GB",
"weight": "2.3 kilogram",
"material": null,
"style": null,
"features": [
"Intel Core i7-14650HX processor (8 Performance-Cores 2.2 GHz / 5.2 GHz Turbo + 8 Efficient-Cores 1.6 GHz / 3.7 GHz Turbo - 24 Threads - 30 MB Cache)",
"16 GB DDR5 5600 MHz SO-DIMM memory (2 slots for a maximum of 64 GB)",
"16\" screen in 16/10 format with QHD+ resolution and 165 Hz display frequency",
"NVIDIA GeForce RTX 4070 graphics chip with 8 GB GDDR6 memory (2175 MHz - 140W)",
"1 TB M.2 PCIe SSD + 1 free M.2 PCIe 4.0 x4 slot",
"Gamer keyboard with 3-zone RGB backlighting",
"High-performance wireless communication Wi-Fi 7 + Bluetooth 5.4",
"WINDFORCE Infinity high-performance heat dissipation system",
"240 watt power adapter (100 watt power delivery)",
"Windows 11 Home"
],
"attributes": {
"general information product name aorus 16x asg": "53FRC54SH",
"brand": "AORUS AORUS",
"model": "AORUS 16X ASG-53FRC54SH",
"os family": "Microsoft Windows 11",
"os language": "French",
"operating system provided": "Yes",
"processor": "Intel Core i7",
"cpu frequency": "2.2 GHz",
"number of cores": "24",
"number of modules": "2",
"memory type": "DDR5",
"memory frequency(ies)": "DDR5 5600 MHz",
"max memory size": "64 GB",
"graphics chipset": "NVIDIA GeForce RTX 4070",
"video memory size": "8 GB",
"video memory type": "GDDR6",
"tgp (total graphics power)": "140 W",
"max-q (gpu design)": "No",
"nvidia studio": "Yes",
"panel type": "IPS display",
"screen type": "LED",
"screen size": "16 inches",
"max resolution": "2560 x 1600 pixels",
"screen format 16": "10",
"widescreen": "Yes",
"matte/anti-glare panel": "Yes",
"glossy panel": "No",
"nvidia g-sync": "No",
"vr ready (virtual reality)": "Yes",
"refresh rate": "165 Hz",
"hard drive": "SSD 1TB",
"secondary hard drive": "Without secondary hard drive",
"hard drive type": "SSD (Solid State Drive)",
"hard drive interface": "M.2 - PCI-E NVMe",
"number of discs": "1",
"max number of discs": "2",
"free hard drive slot(s)": "1 X M.2 - PCI-E",
"optical drive": "None",
"card reader": "None",
"wireless network standard(s)": "Wi-Fi 7",
"bluetooth technology": "Bluetooth 5.4",
"intel vpro technology": "No",
"wireless": "Yes",
"speaker type": "Integrated",
"type of activities": "Gamer",
"intel evo": "No",
"keyboard standard": "AZERTY",
"location": "French",
"backlit keyboard": "Yes",
"rgb keyboard": "Yes",
"numeric keypad": "No",
"biometric reader": "No",
"office provided": "No",
"1 x": "HDMI 2.1 Female",
"depth": "254 mm",
"width": "356 mm",
"front thickness": "20 mm",
"rear thickness": "27 mm",
"weight": "2.3 kg",
"ultrabook": "No",
"hybrid / convertible": "No",
"trunk sar": "0.426 W/kg",
"extremities sar": "0.426 W/kg",
"repairability index (out of 10)": "6.1",
"removable battery": "No",
"usb-c mains charger": "No",
"legal warranty": "See terms & conditions",
"safety information responsible person giga": "Byte Technology BV",
"postal address": "Steenoven 24, 5626 DK Eindhoven, Netherlands",
"electronic address": "EU.grp@gigabyte.com",
"product referenced on": "10 May 2024"
},
"rating_value": 9,
"review_count": 21,
"canonical_url": "https://www.ldlc.com/en/product/PB00612912.html",
"scraped_at": "2025-07-21T12:10:29.433Z"
}
````
### Use Cases
- Monitoring electronics and computer product prices in the French market
- Analyzing product availability and trends
- Tracking price changes over time
- Market research and competitive analysis in the tech retail sector
# Actor input Schema
## `productUrls` (type: `array`):
List of LDLC.com product URLs to scrape.
## `categoryUrls` (type: `array`):
List of LDLC.com category URLs to scrape. The scraper will extract all product URLs from these pages.
## `maxResultsPerScrape` (type: `integer`):
Maximum number of results to extract. Default is 20.
## `usePagination` (type: `boolean`):
Whether to follow pagination links on category pages.
## Actor input object example
```json
{
"productUrls": [
"https://www.ldlc.com/en/product/PB00612912.html"
],
"categoryUrls": [
"https://www.ldlc.com/en/computing/laptop-computer/laptop/c4265/"
],
"maxResultsPerScrape": 20,
"usePagination": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"productUrls": [
"https://www.ldlc.com/en/product/PB00612912.html"
],
"categoryUrls": [
"https://www.ldlc.com/en/computing/laptop-computer/laptop/c4265/"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("123webdata/ldlc-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"productUrls": ["https://www.ldlc.com/en/product/PB00612912.html"],
"categoryUrls": ["https://www.ldlc.com/en/computing/laptop-computer/laptop/c4265/"],
}
# Run the Actor and wait for it to finish
run = client.actor("123webdata/ldlc-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"productUrls": [
"https://www.ldlc.com/en/product/PB00612912.html"
],
"categoryUrls": [
"https://www.ldlc.com/en/computing/laptop-computer/laptop/c4265/"
]
}' |
apify call 123webdata/ldlc-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=123webdata/ldlc-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LDLC Product Scraper (Pay Per Result)",
"description": "A scraper for LDLC to collect electronics product data, specifications, and prices from both category and item pages. Great for price monitoring, reporting, and AI model training. Pricing: $0.005/result. 10 results on free trial.",
"version": "0.1",
"x-build-id": "e1cXhP1nbFmGpbNPk"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/123webdata~ldlc-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-123webdata-ldlc-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/123webdata~ldlc-scraper/runs": {
"post": {
"operationId": "runs-sync-123webdata-ldlc-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/123webdata~ldlc-scraper/run-sync": {
"post": {
"operationId": "run-sync-123webdata-ldlc-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"productUrls": {
"title": "Product URLs",
"type": "array",
"description": "List of LDLC.com product URLs to scrape.",
"default": [],
"items": {
"type": "string"
}
},
"categoryUrls": {
"title": "Category URLs",
"type": "array",
"description": "List of LDLC.com category URLs to scrape. The scraper will extract all product URLs from these pages.",
"default": [],
"items": {
"type": "string"
}
},
"maxResultsPerScrape": {
"title": "Maximum Results",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Maximum number of results to extract. Default is 20.",
"default": 20
},
"usePagination": {
"title": "Use Pagination",
"type": "boolean",
"description": "Whether to follow pagination links on category pages.",
"default": true
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```