Clarks Category Scraper

The Clarks Category Scraper is a powerful Apify Actor designed to extract detailed product information from the Clarks website based on user-defined search keywords. It leverages Playwright for reliable web scraping, ensuring high-quality data on shoes and accessories. This tool is ideal for e-commerce professionals, researchers, and businesses seeking accurate, up-to-date product insights to inform decisions and strategies.

Features

• Keyword-Based Search: Easily scrape products by entering specific search terms like "shoes" or "boots" for targeted results.
• Comprehensive Data Extraction: Captures essential details including product names, brands, SKUs, GTINs, URLs, images, ratings, review counts, and full review data.
• Paginated Scraping: Supports scraping multiple pages to gather extensive datasets without manual intervention.
• High Performance: Utilizes Playwright Crawler for fast, headless browsing that handles dynamic content and anti-bot measures.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis, export, or integration into other systems.
• Configurable Limits: Set maximum pages and crawl requests to control resource usage and avoid overloading the target site.
• Reliable and Scalable: Built for robustness, with error handling to manage site changes or temporary issues.

Input Parameters

Parameter	Type	Required	Description	Example
searchkeyword	string	Yes	Keywords to search for on the Clarks website, such as product types or categories.	"shoes"
maxpages	number	No	Maximum number of pages to scrape from search results.	5
maxCrawlRequests	number	No	The maximum number of requests the crawler will process to limit resource usage.	10

Example Usage

To run the Actor, provide input parameters in JSON format. Here's an example:

{
  "searchkeyword": "shoes",
  "maxpages": 3,
  "maxCrawlRequests": 20
}

This will scrape up to 3 pages of shoe products, processing no more than 20 requests.

Example output (array of product objects):

[
  {
    "name": "Roamer Stomp Toddler Tan",
    "brand": "Clarks Children's",
    "sku": "26183911",
    "gtin13": "5063421509915",
    "url": "https://www.clarks.com/en-gb/roamer-stomp-toddler/26183911-p",
    "image": "https://cdn.media.amplience.net/i/clarks/26183911_GW_1",
    "rating": "5.0",
    "reviewCount": "1",
    "reviews": [
      {
        "author": "Bianca",
        "rating": "5",
        "date": "2025-10-07T10:20:31.965Z",
        "review": "Cute little shoes, great quality, beautiful design ",
        "images": []
      }
    ]
  }
]

Use Cases

• Market Research and Analysis: Gather data on product trends, pricing, and customer feedback to identify market gaps.
• Competitive Intelligence: Monitor Clarks' offerings to compare with competitors and track new releases.
• Price Monitoring: Track product prices and availability for dynamic pricing strategies in e-commerce.
• Content Aggregation: Collect product details and reviews for blogs, comparison sites, or affiliate marketing.
• Academic Research: Study consumer preferences and brand performance through review analysis.
• Business Automation: Automate data collection for inventory management or supplier negotiations.

Installation and Usage

1. Search for "Clarks Category 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 Actor outputs an array of JSON objects, each representing a product. Key fields include:

• name: Product title.
• brand: Associated brand (e.g., "Clarks Children's").
• sku: Stock keeping unit for identification.
• gtin13: Global trade item number.
• url: Direct link to the product page.
• image: URL of the product image.
• rating: Average customer rating.
• reviewCount: Number of reviews.
• reviews: Array of review objects with author, rating, date, text, and images.

This structured format ensures 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!

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