Very Categories Parser Spider

Introduction

The Very Categories Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product category information from Very.co.uk using Playwright for reliable, headless browsing. It enables users to gather structured data on categories efficiently, supporting market research, competitive analysis, and e-commerce automation. By leveraging advanced scraping techniques, this Actor ensures high-quality data extraction with minimal setup.

Features

• Efficient Category Parsing: Quickly extracts category details from Very.co.uk, handling dynamic content with Playwright's robust rendering capabilities.
• Customizable Inputs: Supports multiple categories via an array input, allowing targeted scraping for specific product lines.
• Proxy Integration: Built-in proxy configuration using Apify's residential proxies to avoid IP blocks and ensure anonymous, reliable scraping.
• High Performance: Optimized for speed and scalability, processing categories in parallel for faster results.
• Data Reliability: Delivers clean, structured JSON output with error handling to minimize data loss.
• Flexible Output: Exports data in multiple formats (JSON, CSV, Excel) for easy integration into workflows.
• User-Friendly: Simple configuration through the Apify platform, with no coding required.

Input Parameters

Parameter	Type	Required	Description	Example
Category	array	No	An array of category names to scrape from Very.co.uk. Defaults to a single category for focused extraction.	["momcozy", "electronics"]
proxyConfiguration	object	No	Configures proxy settings to mask the scraper's IP and enhance anonymity. Uses Apify's proxy by default with residential groups.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

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

{
  "Category": ["momcozy", "home"],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output (structured JSON data extracted from categories):

{
  "category": "momcozy",
  "products": [
    {
      "name": "Sample Product",
      "price": 29.99,
      "url": "https://www.very.co.uk/sample-product"
    }
  ]
}

Use Cases

• Market Research and Analysis: Analyze product trends and pricing in specific categories to inform business strategies.
• Competitive Intelligence: Monitor competitors' offerings on Very.co.uk for insights into market positioning.
• Price Monitoring: Track price changes across categories to optimize pricing or identify deals.
• Content Aggregation: Collect category data for building product catalogs or comparison sites.
• Academic Research: Gather data on consumer goods categories for studies in economics or marketing.
• Business Automation: Automate data feeds for inventory management or e-commerce platforms.

Installation and Usage

1. Search for "Very Categories Parser Spider" 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 data in JSON format, structured as an array of objects. Each object represents a scraped category, containing fields like category (string), products (array of product objects with name, price, url, etc.). This format ensures easy parsing and integration, with each product entry providing key details for analysis.

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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