CCC Profile Scraper

Introduction

The CCC Profile Scraper is a powerful Apify Actor designed to extract detailed product information from CCC.eu, Poland's leading footwear and apparel retailer. It efficiently scrapes product profiles, including names, prices, images, and availability, enabling seamless data collection for e-commerce analysis. This tool empowers businesses and researchers to gather accurate, structured data without manual effort, saving time and ensuring up-to-date insights.

Features

• Comprehensive Data Extraction: Scrapes key product details like name, GTIN, category, brand, price, and availability from CCC.eu product pages.
• High Reliability: Built on CheerioCrawler for fast, robust scraping with error handling to manage dynamic web content.
• Structured Output: Delivers clean JSON data, easily integrable into databases, analytics tools, or spreadsheets.
• Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale data needs.
• Real-Time Crawling: Captures current data with timestamps, ideal for monitoring price changes or stock levels.
• User-Friendly: Simple input configuration via start URLs, no coding required.
• Data Quality Assurance: Filters and validates extracted fields to minimize incomplete or erroneous data.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	An array of URLs to start scraping from. Each URL should point to a CCC.eu product page.	[{"url": "https://ccc.eu/pl/damskie/buty/sneakersy/obuwie-sportowe-reebok-ceo-fiori-ar30309wecq-brazowy"}]

Example Usage

Input JSON

{
  "startUrls": [
    {
      "url": "https://ccc.eu/pl/damskie/buty/sneakersy/obuwie-sportowe-reebok-ceo-fiori-ar30309wecq-brazowy"
    }
  ]
}

Output JSON

[
  {
    "name": "Reebok CEO-FIORI AR30309WECQ Brązowy",
    "gtin13": "5906751752289",
    "category": "Sneakersy",
    "image": "https://ccc.eu/media/cache/gallery/rc/f2lbqwxt/images/39/3975398/CCC_5906751752241_01.jpg",
    "brand": "Reebok",
    "sku": "",
    "color": "Brązowy",
    "description": "",
    "price": " 249.99",
    "currency": "PLN",
    "availability": "InStock",
    "itemCondition": "NewCondition",
    "crawlUrl": "https://ccc.eu/pl/damskie/buty/sneakersy/obuwie-sportowe-reebok-ceo-fiori-ar30309wecq-brazowy",
    "crawledAt": "2026-03-16T06:43:10.236Z"
  }
]

Use Cases

• Market Research: Analyze product trends, pricing strategies, and brand popularity on CCC.eu.
• Competitive Intelligence: Monitor competitors' offerings and stock levels for strategic insights.
• Price Monitoring: Track price fluctuations to optimize purchasing or sales decisions.
• Content Aggregation: Build product catalogs or databases for e-commerce platforms.
• Academic Research: Study consumer goods data for studies on fashion and retail economics.
• Business Automation: Automate data feeds for inventory management or marketing campaigns.

Installation and Usage

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

• name: Product title.
• gtin13: Global Trade Item Number.
• category: Product category (e.g., "Sneakersy").
• image: URL to the product image.
• brand: Manufacturer name.
• sku: Stock Keeping Unit (may be empty).
• color: Product color.
• description: Product details (may be empty).
• price: Current price as a string.
• currency: Currency code (e.g., "PLN").
• availability: Stock status (e.g., "InStock").
• itemCondition: Condition (e.g., "NewCondition").
• crawlUrl: Original URL scraped.
• crawledAt: Timestamp of scraping.

Data is validated for completeness, but some fields like description or sku may be absent if not available on the page.

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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