# Reebok Products Scraper (`shahidirfan/reebok-products-scraper`) Actor Scrape Reebok's complete product catalog including prices, descriptions, images, sizes & availability. Ideal for price monitoring, competitive intelligence, market research & dropshipping. Real-time structured data for ecommerce analytics & retail intelligence platforms. - **URL**: https://apify.com/shahidirfan/reebok-products-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Reebok Products Scraper Extract product data from Reebok.com search pages, product pages, and collection pages. Collect prices, availability, descriptions, variants, images, tags, and product URLs for catalog research, price monitoring, and ecommerce analysis. ### Features - **Search products by URL or keyword** - Use a Reebok search URL such as `q=shirt`, a direct product URL, a collection URL, or a plain keyword. - **Collect product details** - Gather names, product types, descriptions, prices, images, tags, variants, SKUs, and availability. - **Handle pagination** - Scan product feed pages for larger collection and keyword runs. - **Clean dataset output** - Empty and always-null values are removed from saved records. - **Ready for exports** - Use the dataset in JSON, CSV, Excel, XML, or connected Apify integrations. --- ### Use Cases #### Product Research Build product lists for Reebok footwear, apparel, and accessories. Compare product types, tags, colors, sizes, and availability before planning assortments. #### Price Monitoring Track current prices and compare-at prices across search terms or collections. Use repeated runs to watch sale changes and product availability. #### Ecommerce Analysis Collect structured catalog data for dashboards, reports, and merchandising reviews. Variant and image data help teams inspect product coverage in detail. #### Competitor Tracking Monitor Reebok.com product pages and collections to understand launches, markdowns, and category movement. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `startUrl` | String | No | - | Reebok search, product, or collection URL. | | `keyword` | String | No | - | Search keyword used when no URL is supplied. | | `results_wanted` | Integer | No | `20` | Maximum number of products to collect. | | `max_pages` | Integer | No | `5` | Maximum product feed pages to scan. | | `proxyConfiguration` | Object | No | Apify Proxy off | Proxy settings for the run. | --- ### Output Data Each dataset item can contain: | Field | Type | Description | |-------|------|-------------| | `product_id` | Integer | Reebok product identifier. | | `title` | String | Product title. | | `handle` | String | Product URL handle. | | `url` | String | Product page URL. | | `vendor` | String | Product vendor. | | `product_type` | String | Product category or type. | | `description_text` | String | Plain text product description. | | `available` | Boolean | Product availability status. | | `price` | Number | Lowest current price. | | `compare_at_price_min` | Number | Lowest compare-at price when available. | | `image_url` | String | Primary product image. | | `tags` | Array | Product tags. | | `variants` | Array | Variant details including SKUs, sizes, colors, and prices. | | `images` | Array | Product image records. | | `published_at` | String | Product publish date when available. | --- ### Usage Examples #### Search URL ```json { "startUrl": "https://www.reebok.com/pages/search-results?q=shirt¤t=3", "results_wanted": 20, "max_pages": 5 } ```` #### Keyword Search ```json { "keyword": "running shoes", "results_wanted": 30, "max_pages": 6 } ``` #### Collection URL ```json { "startUrl": "https://www.reebok.com/collections/shoes", "results_wanted": 100, "max_pages": 4 } ``` *** ### Sample Output ```json { "product_id": 9959857455408, "title": "Men's Identity Small Logo T-Shirt", "handle": "reebok-mens-qt-identity-small-logo-t-shirt-white-166149", "url": "https://www.reebok.com/products/reebok-mens-qt-identity-small-logo-t-shirt-white-166149", "vendor": "Reebok", "product_type": "T-Shirts", "available": true, "price": 19.97, "compare_at_price_min": 25, "currency": "USD", "image_url": "https://cdn.shopify.com/s/files/1/0862/7834/0912/files/100268202_F_Model_eCom.jpg", "variant_count": 6, "skus": ["100268202-S", "100268202-M"] } ``` *** ### Tips for Best Results #### Use Specific Inputs - Use direct product URLs for one item. - Use collection URLs for broad category collection. - Use concise keywords such as `shirt`, `running shoes`, or `club c`. #### Set Practical Limits - Start with `20` results for testing. - Increase `results_wanted` for larger exports. - Raise `max_pages` when a keyword needs broader matching. #### Proxy Configuration ```json { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` *** ### Integrations Connect your data with: - **Google Sheets** - Review products in spreadsheets. - **Airtable** - Build a searchable product catalog. - **Slack** - Send run notifications. - **Webhooks** - Push results to your own systems. - **Make** - Automate ecommerce workflows. - **Zapier** - Trigger actions from new datasets. #### Export Formats - **JSON** - For apps and data pipelines. - **CSV** - For spreadsheet analysis. - **Excel** - For business reporting. - **XML** - For system imports. *** ### Frequently Asked Questions #### Can I scrape a Reebok search URL? Yes. Paste a Reebok search URL with a `q` parameter, and the actor will collect products for that search. #### Can I use only a keyword? Yes. Provide `keyword` when you don't want to paste a URL. #### Can I scrape collection pages? Yes. Collection URLs such as `/collections/shoes` are supported and can return many products through pagination. #### Why do some fields not appear in every item? Only values provided by Reebok.com are saved, and empty fields are removed from each record. #### How many products can I collect? You can set `results_wanted` to the number you need. Larger runs should use a reasonable `max_pages` value. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [API Reference](https://docs.apify.com/api/v2) - [Scheduling Runs](https://docs.apify.com/schedules) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits. # Actor input Schema ## `startUrl` (type: `string`): A Reebok search, product, or collection URL. Search URLs can include q and current parameters. ## `keyword` (type: `string`): Search keyword to use when no URL is provided. ## `results_wanted` (type: `integer`): Maximum number of products to collect. ## `max_pages` (type: `integer`): Maximum number of product feed pages to scan for collection URLs or keyword fallback. ## `proxyConfiguration` (type: `object`): Use Apify Proxy if requests are blocked from your run location. ## Actor input object example ```json { "startUrl": "https://www.reebok.com/pages/search-results?q=shirt¤t=3", "keyword": "shirt", "results_wanted": 20, "max_pages": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (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 = { "startUrl": "https://www.reebok.com/pages/search-results?q=shirt¤t=3", "keyword": "shirt", "results_wanted": 20, "max_pages": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/reebok-products-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 = { "startUrl": "https://www.reebok.com/pages/search-results?q=shirt¤t=3", "keyword": "shirt", "results_wanted": 20, "max_pages": 5, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/reebok-products-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 '{ "startUrl": "https://www.reebok.com/pages/search-results?q=shirt¤t=3", "keyword": "shirt", "results_wanted": 20, "max_pages": 5 }' | apify call shahidirfan/reebok-products-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/reebok-products-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reebok Products Scraper", "description": "Scrape Reebok's complete product catalog including prices, descriptions, images, sizes & availability. Ideal for price monitoring, competitive intelligence, market research & dropshipping. Real-time structured data for ecommerce analytics & retail intelligence platforms.", "version": "0.0", "x-build-id": "MHucD3d1mGG8RYO9d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~reebok-products-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-reebok-products-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/shahidirfan~reebok-products-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-reebok-products-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/shahidirfan~reebok-products-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-reebok-products-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": { "startUrl": { "title": "Reebok URL", "type": "string", "description": "A Reebok search, product, or collection URL. Search URLs can include q and current parameters." }, "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword to use when no URL is provided." }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of products to collect.", "default": 20 }, "max_pages": { "title": "Maximum pages", "minimum": 1, "type": "integer", "description": "Maximum number of product feed pages to scan for collection URLs or keyword fallback.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Proxy if requests are blocked from your run location.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```