# Clarks Profile Scraper (`getdataforme/clarks-profile-scraper`) Actor Extract detailed product data from Clarks' website, including names, SKUs, ratings, reviews, and images. Leverages Playwright for reliable scraping, handles multiple URLs concurrently, and outputs clean JSON. Ideal for market research, competitive analysis, and price monitoring on Apify.... - **URL**: https://apify.com/getdataforme/clarks-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 4 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## Clarks Profile Scraper ### Introduction The Clarks Profile Scraper is a powerful Apify Actor designed to extract detailed product information from Clarks' website, including names, brands, SKUs, ratings, reviews, and more. It leverages Playwright for reliable web scraping, ensuring accurate data collection from product pages. Ideal for e-commerce professionals, researchers, and businesses needing structured data for analysis, pricing, or inventory management. ### Features - **Comprehensive Data Extraction**: Scrapes key product details such as name, brand, SKU, GTIN, images, ratings, and customer reviews with full metadata. - **High Reliability**: Uses Playwright for headless browsing, handling dynamic content and anti-scraping measures effectively. - **Scalable Performance**: Processes multiple URLs concurrently, with built-in error handling for efficient batch scraping. - **Structured Output**: Delivers clean JSON data, easily integrable with databases, analytics tools, or APIs. - **Review Insights**: Captures detailed review data, including author, rating, date, text, and images for sentiment analysis. - **Customizable Inputs**: Accepts a list of start URLs for targeted scraping of specific products. - **Apify Integration**: Seamlessly runs on the Apify platform with monitoring, scheduling, and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs pointing to Clarks product pages to scrape. Each URL should be a valid product page link. | `[{"url": "https://www.clarks.com/en-us/desert-trek-older/26168046-p"}]` | ### Example Usage To run the Actor, provide input in JSON format. Here's an example: ```json { "startUrls": [ { "url": "https://www.clarks.com/en-us/desert-trek-older/26168046-p" } ] } ```` The Actor will output a JSON array of product objects. Example output: ```json [ { "name": "Danyelle Skip Black Leather", "brand": "Clarks", "sku": "26184231", "gtin13": "5063421490084", "url": "https://www.clarks.com/en-ca/danyelle-skip/26184231-p", "image": "https://cdn.media.amplience.net/i/clarks/26184231_GW_1", "rating": "4.0", "reviewCount": "1", "reviews": [ { "author": "Clemence Rannou", "rating": "4", "date": "2025-10-14T14:20:35.471Z", "review": "A bit slippery (I nearly fell twice on my living room/corridor flooring) but super comfy and seems to be good quality", "images": [] } ] } ] ``` ### Use Cases - **Market Research**: Analyze product trends, ratings, and reviews to understand consumer preferences in the footwear industry. - **Competitive Intelligence**: Gather data on Clarks products for comparison with competitors' offerings. - **Price Monitoring**: Track pricing and availability for dynamic pricing strategies. - **Content Aggregation**: Collect product images and descriptions for e-commerce platforms or catalogs. - **Academic Research**: Study customer feedback and ratings for studies on consumer behavior. - **Business Automation**: Automate data feeds for inventory management or marketing campaigns. ### Installation and Usage 1. Search for "Clarks Profile 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 of objects, each representing a scraped product. Key fields include: - `name`: Product name (string) - `brand`: Brand name, typically "Clarks" (string) - `sku`: Stock Keeping Unit (string) - `gtin13`: Global Trade Item Number (string) - `url`: Product page URL (string) - `image`: Main product image URL (string) - `rating`: Average rating (string, e.g., "4.0") - `reviewCount`: Number of reviews (string) - `reviews`: Array of review objects with `author`, `rating`, `date`, `review`, and `images` fields. Data is structured for easy parsing and integration. ### 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! *** Extract comprehensive product data from Clarks with ease! Features reliable scraping, detailed reviews, and structured JSON output. Perfect for market research, price monitoring, and competitive analysis. Run now on Apify! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.clarks.com/en-us/desert-trek-older/26168046-p" } ] } ``` # 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.clarks.com/en-us/desert-trek-older/26168046-p" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/clarks-profile-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.clarks.com/en-us/desert-trek-older/26168046-p" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/clarks-profile-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.clarks.com/en-us/desert-trek-older/26168046-p" } ] }' | apify call getdataforme/clarks-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/clarks-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Clarks Profile Scraper", "description": "Extract detailed product data from Clarks' website, including names, SKUs, ratings, reviews, and images. Leverages Playwright for reliable scraping, handles multiple URLs concurrently, and outputs clean JSON. Ideal for market research, competitive analysis, and price monitoring on Apify....", "version": "0.0", "x-build-id": "OeSRkb4Q4MjepFOTY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~clarks-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-clarks-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~clarks-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-clarks-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~clarks-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-clarks-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Enter the urls of the Product", "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 } } } } } } } } } } ```