# Nike productInfo Scraper (`getdataforme/nike-productinfo-scraper`) Actor The Nike productInfo Scraper efficiently extracts detailed product data from Nike's website, including titles, prices, descriptions, and images.... - **URL**: https://apify.com/getdataforme/nike-productinfo-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Nike productInfo Scraper ### Introduction The Nike productInfo Scraper is a powerful tool designed to extract detailed product information from Nike's website. This Actor is ideal for businesses and researchers who need reliable and structured data on Nike products for market analysis, competitive intelligence, and more. ### Features - **Comprehensive Data Extraction**: Retrieves product titles, prices, descriptions, style codes, images, and colorways. - **High Data Quality**: Ensures accurate and up-to-date information directly from Nike's official site. - **Efficient Performance**: Optimized for fast and reliable data scraping. - **User-Friendly**: Easy to configure and run with minimal setup. - **Versatile Output**: Supports multiple formats for data export, including JSON, CSV, and Excel. - **Scalable**: Handles multiple URLs simultaneously for large-scale data collection. - **Error Handling**: Robust mechanisms to manage and report errors during scraping. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|--------|----------|-------------------------|-------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `["https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS"]` | ### Example Usage #### Example Input JSON ```json { "startUrls": [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS" } ] } ```` #### Example Output JSON ```json [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS", "title": "FFF 2026/27 Match Away - Men's Nike Aero-FIT Soccer Authentic Custom Jersey By You", "price": "$210$210", "description": "A new era of breathability has just stepped onto the field. Introducing Nike Aero-FIT technology. It brings lightweight stretch to this authentic FFF jersey, giving you the same extraordinary airflow as the pros.", "color": "Igloo", "styleCode": "NN203939011-CUS", "images": [ "https://static.nike.com/a/images/t_web_pdp_535_v2/f_auto,u_9ddf04c7-2a9a-4d76-add1-d15af8f0263d,c_scale,fl_relative,w_1.0,h_1.0,fl_layer_apply/59a2f235-b3d6-44ea-a090-139a6be69e37/NIK+SU26+M+MATCH+AUTH+JERSEY.png", "https://static.nike.com/a/images/t_web_pdp_936_v2/f_auto,u_9ddf04c7-2a9a-4d76-add1-d15af8f0263d,c_scale,fl_relative,w_1.0,h_1.0,fl_layer_apply/59a2f235-b3d6-44ea-a090-139a6be69e37/NIK+SU26+M+MATCH+AUTH+JERSEY.png" ], "colorways": [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-jersey-fmPWPIJd/IB5200-394", "image": "https://static.nike.com/a/images/t_PDP_144_v1/f_auto,q_auto:eco/e3e7c303-fa6d-4ab4-85d5-9e1b1b00ff67/FFF+M+NK+DFADV+JSY+SS+MATCH+AW.png", "name": "Igloo/Monarch/Monarch" } ], "availability": "unavailable" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather comprehensive product data for market trends. - **Competitive Intelligence**: Monitor competitor offerings and pricing strategies. - **Price Monitoring**: Track price changes and promotions over time. - **Content Aggregation**: Collect product details for content creation and curation. - **Academic Research**: Analyze product data for academic studies and reports. - **Business Automation**: Automate data collection for business intelligence systems. ### Installation and Usage 1. Search for "Nike productInfo Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array where each object contains: - `url`: The product page URL. - `title`: The product title. - `price`: The product price. - `description`: A brief description of the product. - `color`: The primary color of the product. - `styleCode`: The product's style code. - `images`: An array of image URLs. - `colorways`: An array of available color variations with URLs and images. - `availability`: The availability status of the product. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS" } ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/nike-productinfo-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 = { "startUrls": [{ "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/nike-productinfo-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 '{ "startUrls": [ { "url": "https://www.nike.com/t/fff-2026-27-match-away-mens-aero-fit-soccer-authentic-custom-jersey-by-you-fmPWPIJd/NN203939011-CUS" } ] }' | apify call getdataforme/nike-productinfo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/nike-productinfo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nike productInfo Scraper", "description": "The Nike productInfo Scraper efficiently extracts detailed product data from Nike's website, including titles, prices, descriptions, and images....", "version": "0.0", "x-build-id": "7aIb3VblRMYYfMQxB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~nike-productinfo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-nike-productinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~nike-productinfo-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-nike-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~nike-productinfo-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-nike-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```