# Decathlon Product Search Scraper (`stealth_mode/decathlon-product-search-scraper`) Actor Scrape product listings from Decathlon.com across all regional sites (.es, .nl, .fr, etc.). Collect prices, variants, SKUs, images, sizes, reviews, and availability instantly — perfect for price monitoring, product research, and competitive intelligence in the sports retail sector. - **URL**: https://apify.com/stealth\_mode/decathlon-product-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Developer tools, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Decathlon Product Search Scraper: Extract Sports Gear Data Globally --- ### What Is Decathlon? Decathlon is a global sports retail giant operating in over 50 countries with localized websites (Decathlon.es, Decathlon.nl, Decathlon.fr, etc.). Its product catalog spans thousands of items across categories like footwear, apparel, equipment, and outdoor gear. Manual browsing across regional sites to track pricing, variants, and availability is inefficient — the **Decathlon Product Search Scraper** automates multi-country data collection, delivering structured product intelligence instantly. --- ### Overview The **Decathlon Product Search Scraper** extracts product listings from Decathlon search results pages, capturing 14 essential data points per product. It is ideal for: - **Price monitoring platforms** tracking sports gear costs across regions - **E-commerce aggregators** building multi-brand product databases - **Market researchers** analyzing Decathlon's inventory and pricing strategies - **Retail analysts** monitoring competitor stock and product variants - **Developers** integrating sports product data into marketplace applications Key features include support for multi-country Decathlon domains, configurable item limits per search, and robust error handling via `ignore_url_failures`. --- ### Input Format The scraper accepts a JSON configuration object: ```json { "urls": [ "https://www.decathlon.es/es/search?Ntt=shoe&from=40&size=40" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Field | Description | |---|---| | `urls` | Links to Decathlon product search result pages across any regional domain (.es, .nl, .fr, .de, etc.) | | `max_items_per_url` | Maximum products to scrape per search URL (default: `20`, range: 1–200+) | | `ignore_url_failures` | If `true`, continues scraping remaining URLs if some fail; if `false`, halts on first error | > **Tip:** Use full search URLs with query parameters (e.g., `?Ntt=shoe`) to filter by keyword, category, or price range. Pagination parameters (`from`, `size`) control which results are returned. *** ### Output Format **Example output snippet:** ```json { "id": "0a570b72-078d-4d7c-8960-a02fb36a5d0c_0a570b72-078d-4d7c-8960-a02fb36a5d0c_c251", "supermodel_id": "0a570b72-078d-4d7c-8960-a02fb36a5d0c", "sku_id": "bcb21599-c12c-4d0d-9916-0af3a688dbdb", "label": "Kawasaki Retro 23 Canvas Shoe K23GREY", "images": [ { "src": "https://contents.mediadecathlon.com/m23054215/k$4c0dca987583ae67a5ca58ebad5ad23f/picture.jpg", "alt": "picture" } ], "url": "/es/p/mp/kawasaki-retro-23-canvas-shoe-k23grey/0a570b72-078d-4d7c-8960-a02fb36a5d0c/c251", "variant_type": "color", "product_types": [ "marketplace" ], "models": [ { "available_sizes": [ "36 (UK 3.5)", "37 (UK 5)", "38 (UK 5)", "39 (UK 6)", "40 (UK 6)", "45 (UK 10)" ], "brand": "KAWASAKI", "id": "0a570b72-078d-4d7c-8960-a02fb36a5d0c_c251", "sku_id": "bcb21599-c12c-4d0d-9916-0af3a688dbdb", "images": [ { "src": "https://contents.mediadecathlon.com/m23054215/k$4c0dca987583ae67a5ca58ebad5ad23f/picture.jpg", "alt": "picture" } ], "variant_type": "color", "label": "Kawasaki Retro 23 Canvas Shoe K23GREY", "price": { "currencies": { "main": { "value_with_taxes": 48.97, "currency": "EUR" } }, "is_uniform": true, "price_type": "STANDARD", "is_offer_price_uniform": true }, "available_online": true, "sellable_online": true, "same_fulfiller_seller": true, "thumbnail": { "src": "https://contents.mediadecathlon.com/m23054215/k$4c0dca987583ae67a5ca58ebad5ad23f/picture.jpg", "alt": "picture" }, "nature": "zapatillas de deporte", "url": "/es/p/mp/kawasaki-retro-23-canvas-shoe-k23grey/0a570b72-078d-4d7c-8960-a02fb36a5d0c/c251", "url_with_model_or_supermodel": "/es/p/mp/kawasaki-retro-23-canvas-shoe-k23grey/0a570b72-078d-4d7c-8960-a02fb36a5d0c/c251", "sports": [ { "name": "entrenamiento callejero" } ], "seller": { "name": "SUPERBRANDS", "type": "THIRD_PARTY" } } ], "price": { "currencies": { "main": { "value_with_taxes": 48.97, "currency": "EUR" } }, "is_uniform": true, "price_type": "STANDARD", "is_offer_price_uniform": true }, "available_sizes": [ "36 (UK 3.5)", "37 (UK 5)", "38 (UK 5)", "39 (UK 6)", "40 (UK 6)", "45 (UK 10)" ], "variance_codes": [ { "type": "colors", "count": 1, "channel": "WEB" } ], "reviews": null, "spotlighted": false, "from_url": "https://www.decathlon.es/es/search?Ntt=shoe" } ``` Each scraped product record contains 14 fields with detailed product and variant information: #### Product Identification | Field | Meaning | |---|---| | `ID` | Unique internal Decathlon product identifier | | `Supermodel ID` | Master product ID linking all variants (color, size, material) | | `SKU ID` | Stock Keeping Unit for inventory tracking and POS systems | | `Label` | Official product name as displayed on Decathlon | | `URL` | Direct link to the product detail page | #### Product Classification | Field | Meaning | |---|---| | `Product Types` | Category tags (e.g., "Running Shoes", "Winter Coats") | | `Models` | Product line or model name within the brand | | `Variant Type` | Distinguishing attributes (color, size, material variant) | #### Availability & Inventory | Field | Meaning | |---|---| | `Available Sizes` | Array of sizes currently in stock (e.g., \["40", "41", "42", "43"]) | | `Variance Codes` | Internal codes identifying each size/color/material combination | #### Pricing & Commerce | Field | Meaning | |---|---| | `Price` | Current selling price in the regional currency | #### Media & Social | Field | Meaning | |---|---| | `Images` | URLs to product images (typically multiple angles and variants) | | `Reviews` | Aggregated rating or review count from customer feedback | #### Promotion & Features | Field | Meaning | |---|---| | `Spotlighted` | Boolean flag indicating if the product is featured, promoted, or on sale | *** ### How to Use 1. **Build search URLs** — Visit Decathlon.es (or any regional domain) and perform a search. Copy the URL from the search results page. You can modify query parameters to filter by keyword, category, or price. 2. **Configure input** — Paste URLs into the `urls` array. Set `max_items_per_url` based on how many products you need (200 is common for comprehensive monitoring). 3. **Set error handling** — Enable `ignore_url_failures: true` to ensure the scraper continues if individual pages are unreachable. 4. **Run the scraper** — Initiate the run and monitor the log for progress and any warnings. 5. **Export data** — Download results as JSON, CSV, or Excel for analysis, price comparison, or database ingestion. **Best practices:** - Use specific search queries (e.g., `Ntt=running+shoes`) to target relevant products. - Monitor `Available Sizes` and `Spotlighted` fields to track inventory and promotional activity. - Combine data from multiple regional sites (.es, .nl, .fr) to build a cross-border price intelligence dataset. - Store `Supermodel ID` to identify products across variants and regional updates. *** ### Use Cases & Business Value - **Price monitoring:** Track product prices across Decathlon's regional sites in real-time - **Competitive analysis:** Compare your sports brand's pricing against Decathlon's offerings - **Inventory insights:** Monitor available sizes and stock status to forecast demand - **Marketplace integration:** Auto-populate product catalogs with Decathlon's sports data - **Promotion tracking:** Identify spotlighted and sale items to analyze promotional strategies - **Market research:** Build historical datasets to analyze sports retail trends by region and product category The **Decathlon Product Search Scraper** delivers clean, structured data that integrates into price monitoring systems, databases, dashboards, and business intelligence platforms — turning raw listings into actionable competitive intelligence. *** ### Conclusion The **Decathlon Product Search Scraper** is an essential tool for price analysts, e-commerce developers, and retail researchers. By automating data collection across Decathlon's global domains, it saves hours of manual work while providing accurate, consistent product intelligence. Whether you're tracking prices, monitoring inventory, or building product aggregators, this scraper delivers the data you need. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## `proxy` (type: `object`): Select proxies to be used by your scraper. ## Actor input object example ```json { "urls": [ "https://www.decathlon.es/es/search?Ntt=shoe&from=40&size=40" ], "ignore_url_failures": true, "max_items_per_url": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "urls": [ "https://www.decathlon.es/es/search?Ntt=shoe&from=40&size=40" ], "ignore_url_failures": true, "max_items_per_url": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/decathlon-product-search-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 = { "urls": ["https://www.decathlon.es/es/search?Ntt=shoe&from=40&size=40"], "ignore_url_failures": True, "max_items_per_url": 20, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/decathlon-product-search-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 '{ "urls": [ "https://www.decathlon.es/es/search?Ntt=shoe&from=40&size=40" ], "ignore_url_failures": true, "max_items_per_url": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call stealth_mode/decathlon-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/decathlon-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Decathlon Product Search Scraper", "description": "Scrape product listings from Decathlon.com across all regional sites (.es, .nl, .fr, etc.). Collect prices, variants, SKUs, images, sizes, reviews, and availability instantly — perfect for price monitoring, product research, and competitive intelligence in the sports retail sector.", "version": "0.0", "x-build-id": "DuefvqcFSDbca9E3z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~decathlon-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-decathlon-product-search-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/stealth_mode~decathlon-product-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-decathlon-product-search-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/stealth_mode~decathlon-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-decathlon-product-search-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": { "urls": { "title": "URLs of the product search list urls to scrape", "type": "array", "description": "Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your scraper." } } }, "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 } } } } } } } } } } ```