# Torfs Scraper — Belgian Shoes, Sneakers & Footwear Prices (`studio-amba/torfs-scraper`) Actor Scrape products, prices, and availability from Torfs.be. Belgium's largest shoe retailer. Supports category browsing, search, and bilingual output (NL/FR). - **URL**: https://apify.com/studio-amba/torfs-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 ## Torfs Scraper Scrape product data, prices, and availability from [Torfs.be](https://www.torfs.be) — Belgium's largest family shoe retailer. No cookies or login required. ### Why use this actor? Torfs is the #1 shoe retailer in Belgium, carrying Nike, Adidas, New Balance, Birkenstock, and hundreds of other brands. If you need shoe price comparisons, brand monitoring, sneaker availability tracking, or product feeds for the Belgian footwear market, this actor delivers structured data from every product listing. ### Features - **Three scraping modes** — search by keyword, browse by category, or scrape all main shoe categories automatically - **Bilingual** — supports both Dutch (`nl`) and French (`fr`) versions of the site - **Rich product data** — names, brands, prices, sale prices, product IDs, images, and category paths - **Detail page enrichment** — when visiting product pages, adds SKU, EAN, stock status, ratings, and descriptions via JSON-LD - **Smart price detection** — correctly identifies sale vs. original prices from Salesforce Commerce Cloud analytics data - **No cookies, no login required** — works out of the box ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | String | No | Search term (e.g. `"Nike Air Max"`) | | `categoryUrl` | String | No | Category path (e.g. `/nl/dames/schoenen/sneakers/`) | | `maxResults` | Integer | No | Maximum products to return (default: 100) | | `language` | String | No | `nl` (default) or `fr` | | `proxyConfiguration` | Object | No | Proxy settings (recommended for large runs) | Without input, the scraper browses all main shoe categories: dames, heren, jongens, meisjes. ### Output Each result contains: | Field | Type | Example | |-------|------|---------| | `name` | String | `"Nike Air Max 90 Sneakers Wit"` | | `brand` | String | `"Nike"` | | `price` | Number | `139.95` | | `originalPrice` | Number | `149.95` | | `currency` | String | `"EUR"` | | `productId` | String | `"386501"` | | `url` | String | Full product URL | | `imageUrl` | String | Product image URL | | `category` | String | `"Dames > Schoenen > Sneakers"` | | `language` | String | `"nl"` | ### Example output ```json { "name": "Nike Air Max 90 Sneakers Wit", "brand": "Nike", "price": 139.95, "originalPrice": 149.95, "currency": "EUR", "productId": "386501", "url": "https://www.torfs.be/nl/nike-air-max-90-sneakers-wit/386501.html", "imageUrl": "https://www.torfs.be/on/demandware.static/-/Sites-torfs-master-catalog/default/dw.../386501.jpg", "category": "Dames > Schoenen > Sneakers", "language": "nl", "scrapedAt": "2026-04-06T10:00:00.000Z" } ```` ### Cost estimate This actor uses approximately **1 compute unit per 1,000 products**. Listing pages return 48 products each, so a full category scrape is very efficient. A complete run across all shoe categories costs roughly **$0.50**. ### How it works Torfs runs on Salesforce Commerce Cloud (SFCC). The scraper reads product tiles with embedded analytics meta tags for structured data, and uses SFCC's `start`/`sz` pagination parameters to navigate through results. Product detail pages are parsed via JSON-LD `ProductGroup` schema for additional fields like SKU, EAN, and ratings. ### Limitations - Listing pages provide core data (name, brand, price, image); visit detail pages for full data (SKU, EAN, stock, ratings) - Sale price logic follows SFCC conventions: `sale_price` in analytics is the current price, `price` is the original - Data is scraped from the public website and may change without notice # Actor input Schema ## `categoryUrl` (type: `string`): A Torfs.be category page URL to scrape. Example: https://www.torfs.be/nl/dames/schoenen/. If empty and no search query, scrapes main categories. ## `searchQuery` (type: `string`): Search for products by keyword (e.g., 'nike', 'adidas sneakers'). Uses Torfs search. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `language` (type: `string`): Language for product data. Affects URL prefix (/nl/ or /fr/). ## `proxyConfiguration` (type: `object`): Proxy settings. Usually not needed for Torfs.be. ## Actor input object example ```json { "categoryUrl": "https://www.torfs.be/nl/dames/schoenen/", "maxResults": 100, "language": "nl" } ``` # 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 = { "categoryUrl": "https://www.torfs.be/nl/dames/schoenen/" }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/torfs-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 = { "categoryUrl": "https://www.torfs.be/nl/dames/schoenen/" } # Run the Actor and wait for it to finish run = client.actor("studio-amba/torfs-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 '{ "categoryUrl": "https://www.torfs.be/nl/dames/schoenen/" }' | apify call studio-amba/torfs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/torfs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Torfs Scraper — Belgian Shoes, Sneakers & Footwear Prices", "description": "Scrape products, prices, and availability from Torfs.be. Belgium's largest shoe retailer. Supports category browsing, search, and bilingual output (NL/FR).", "version": "0.1", "x-build-id": "LHRKTiFwE7bx8xgKH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~torfs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-torfs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~torfs-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-torfs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~torfs-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-torfs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categoryUrl": { "title": "Category URL", "type": "string", "description": "A Torfs.be category page URL to scrape. Example: https://www.torfs.be/nl/dames/schoenen/. If empty and no search query, scrapes main categories." }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for products by keyword (e.g., 'nike', 'adidas sneakers'). Uses Torfs search." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "language": { "title": "Language", "enum": [ "nl", "fr" ], "type": "string", "description": "Language for product data. Affects URL prefix (/nl/ or /fr/).", "default": "nl" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Usually not needed for Torfs.be." } } }, "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 } } } } } } } } } } ```