# Rue du Commerce Scraper — French Electronics & Tech Products (`studio-amba/rueducommerce-scraper`) Actor Scrape product listings, prices, and details from rueducommerce.fr. France's popular electronics, computing, and general e-commerce retailer. Search by keyword or browse categories. - **URL**: https://apify.com/studio-amba/rueducommerce-scraper.md - **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Rue du Commerce Scraper Extract product data from rueducommerce.fr, a French electronics and tech e-commerce marketplace. Covers computers, smartphones, TVs, appliances, and peripherals. ### How it works The scraper handles both listing pages and individual product pages. On listings, it first tries JSON-LD (ItemList format), then falls back to HTML card parsing. Product detail pages are scraped via JSON-LD Product schema with BreadcrumbList for categories. ### Input | Field | Type | Description | |-------|------|-------------| | `searchQuery` | string | French search term (e.g., `"ordinateur portable"`) | | `categoryUrl` | string | Category page URL | | `maxResults` | integer | Limit (default: 100) | | `proxyConfiguration` | object | Proxy settings | Defaults to "ordinateur portable" search if no input. ### Output | Field | Type | Example | |-------|------|---------| | `name` | string | `"Lenovo IdeaPad 3 15ITL6"` | | `brand` | string | `"Lenovo"` | | `price` | number | `549.99` | | `originalPrice` | number | `699.99` | | `currency` | string | `"EUR"` | | `sku` | string | `"82H801234"` | | `ean` | string | `"0195891234567"` | | `inStock` | boolean | `true` | | `rating` | number | `4.3` | | `reviewCount` | number | `67` | | `url` | string | Product URL | | `imageUrl` | string | Product image | | `category` | string | `"Ordinateurs portables"` | | `categories` | array | Full breadcrumb | | `language` | string | `"fr"` | ### Notes - Product URLs match `/p/slug.html` pattern - Search pagination: `/recherche/{query}/page{N}/` - Category pagination: `/r/{id}/{slug}/p{N}/` - French price format: "1.299,99 EUR" - Breadcrumbs skip "Accueil" and "Rue du Commerce" entries ### Why use Rue du Commerce Scraper - **Price monitoring** — Track prices, stock, and promotions across Rue du Commerce at scale - **Competitive intelligence** — Compare your catalog against Rue du Commerce pricing and assortment - **Market research** — Analyze category trends, new arrivals, and rating distributions - **Lead generation** — Build product datasets for affiliate sites, comparison tools, or feeds - **No login or cookies required** — Authenticated access not needed; works out of the box ### How to use Rue du Commerce Scraper 1. Open the **Input** tab and provide a search query, category URL, or product list 2. Adjust optional filters such as `maxResults` or proxy settings 3. Click **Start** and wait for the run to complete 4. Download results from the **Output** tab in JSON, CSV, Excel, XML, or HTML 5. Schedule recurring runs from the **Schedule** tab if you need ongoing data ### How to scrape Rue du Commerce data This Actor automates the process of extracting structured product data from Rue du Commerce. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles pagination, retries, and rate limiting so you can focus on the data, not the plumbing. Typical workflows: - **One-off export**: paste a category URL or keyword, set `maxResults`, and run - **Scheduled monitoring**: set a daily cron in the Schedule tab to track prices over time - **Programmatic integration**: trigger runs from your backend via the Apify API and pull the dataset when finished - **Webhook automation**: receive a callback the moment a run completes and pipe the results into Zapier, Make, n8n, BigQuery, or Google Sheets ### Cost estimate Pricing on the Apify platform is usage-based — you only pay for the compute time and proxy traffic you actually use. As a rough guide for this Actor: - **100 products**: a few cents - **1,000 products**: typically under $1 USD - **10,000 products**: a few dollars, depending on site complexity and proxy mix Costs are dominated by proxy usage on sites with anti-bot protection. The Apify free plan includes $5/month of platform credits, enough to evaluate the scraper on small datasets. ### Tips for best results - **Start small** — run with `maxResults: 10` before launching large jobs - **Use proxies** — residential proxies reduce blocking on protected sites - **Throttle on big jobs** — keep `maxConcurrency` modest (5–10) for stability - **Schedule runs** — daily runs are usually enough for price monitoring - **Inspect the dataset schema** — the Storage tab shows the full output structure ### FAQ and support **Is it legal to scrape Rue du Commerce?** This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits. **Why am I getting fewer results than expected?** Some categories have hidden pagination or load more on scroll. Increase `maxResults` and verify your filters. **Can I extract data for a single product?** Yes — provide the full product URL in `startUrls` and the scraper will return one item. **The site blocks me — what should I do?** Enable Apify residential proxies in the input. Datacenter IPs are blocked by many e-commerce sites. For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support@apify.com. We monitor every actor and ship fixes quickly when sites change. # Actor input Schema ## `searchQuery` (type: `string`): Search term to look for products (e.g., 'ordinateur portable', 'smartphone samsung'). Leave empty if providing category URLs. ## `categoryUrl` (type: `string`): A category or listing page URL to scrape (e.g., 'https://www.rueducommerce.fr/r/70151/pc-portable/'). Overrides searchQuery if both are provided. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings. Recommended for large runs to avoid rate limiting. ## Actor input object example ```json { "searchQuery": "ordinateur portable", "maxResults": 100 } ```` # 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 = { "searchQuery": "ordinateur portable" }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/rueducommerce-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 = { "searchQuery": "ordinateur portable" } # Run the Actor and wait for it to finish run = client.actor("studio-amba/rueducommerce-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 '{ "searchQuery": "ordinateur portable" }' | apify call studio-amba/rueducommerce-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/rueducommerce-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Rue du Commerce Scraper — French Electronics & Tech Products", "description": "Scrape product listings, prices, and details from rueducommerce.fr. France's popular electronics, computing, and general e-commerce retailer. Search by keyword or browse categories.", "version": "0.1", "x-build-id": "T77jPaJLAzdinLp81" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~rueducommerce-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-rueducommerce-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~rueducommerce-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-rueducommerce-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~rueducommerce-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-rueducommerce-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to look for products (e.g., 'ordinateur portable', 'smartphone samsung'). Leave empty if providing category URLs." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "A category or listing page URL to scrape (e.g., 'https://www.rueducommerce.fr/r/70151/pc-portable/'). Overrides searchQuery if both are provided." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Recommended for large runs to avoid rate limiting." } } }, "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 } } } } } } } } } } ```