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README.md

Zalando Product Detail EC Spider

Introduction

The Zalando Product Detail EC Spider is a powerful web scraping tool designed to extract detailed product information from Zalando's website. It provides comprehensive data on products such as clothing and footwear, enabling users to gather insights for various business applications.

Features

• Extracts detailed product attributes including title, brand, price, sizes, images, and materials.
• Supports multiple URLs for batch scraping with customizable item limits.
• Ensures high-quality and reliable data extraction through robust parsing techniques.
• Offers flexible output formats like JSON, CSV, and Excel for easy integration.
• Designed for scalability to handle large volumes of product data efficiently.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	The URLs for the spider.	["https://www.zalando.co.uk/product1.html"]
item_limit	integer	No	Maximum number of items to scrape (default is all).	10

Example Usage

Input JSON

{
  "Urls": [
    "https://www.zalando.co.uk/alpha-industries-ma-1-bomber-jacket-black-al521g000-q11.html"
  ],
  "item_limit": 5
}

Output JSON

[
  {
    "url": "https://www.zalando.co.uk/alpha-industries-ma-1-bomber-jacket-black-al521g000-q11.html",
    "title": "Bomber Jacket - black",
    "brand": "Alpha Industries",
    "price": "98.00",
    "currency": "GBP",
    "vat_included": true,
    "color": "Colour",
    "sizes": [
      {"size": "XS", "sku": "AL521G000-Q1100XS000"},
      {"size": "S", "sku": "AL521G000-Q11000S000"}
    ],
    "images": [
      "https://img01.ztat.net/article/spp-media-p1/9a14c013b6fd4c1b90ea0800ffc26fb9/bee6c34aee4b48cf826c31f631edbc83.jpg?imwidth=762"
    ],
    "outer_fabric_material": "100% nylon",
    "lining": "100% nylon",
    "padding_type": "Lightly padded",
    "contains_non_textile_parts_of_animal_origin": "Yes",
    "care_instructions": "Dry clean only, do not wash",
    "neckline": "Crew neck",
    "collar": "Standing collar",
    "fastening": "Zip",
    "pockets": "Inside pocket, sleeve pocket, inseam pockets",
    "sleeve_cuffs": "Elastic",
    "hood_detail": "Lined",
    "pattern": "Plain",
    "details": "Lined fastener",
    "insoles": "Padded",
    "article_number": "AL521G000-Q11",
    "our_model_s_height": "Our model is 5' 9\" tall and is wearing size S",
    "fit": "Slim",
    "shape": "Straight",
    "length": "Normal length",
    "sleeve_length": "25.0 \" (Size S)",
    "back_width": "14.0 \" (Size S)",
    "total_length": "25.0 \" (Size S)"
  }
]

Use Cases

• Market Research and Analysis: Gain insights into product offerings, pricing strategies, and market trends.
• Competitive Intelligence: Monitor competitors' products to understand their positioning and features.
• Price Monitoring: Track price changes over time for strategic decision-making.
• Content Aggregation: Aggregate product data for e-commerce platforms or comparison sites.
• Academic Research: Use detailed product information for studies in consumer behavior or fashion trends.
• Business Automation: Automate the collection of product data to streamline business processes.

Installation and Usage

1. Search for "Zalando Product Detail EC Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
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 data is structured as an array of product objects, each containing detailed attributes such as:

• url: The URL of the product page.
• title: The title of the product.
• brand: The brand name.
• price: The price of the product.
• currency: The currency in which the price is listed.
• sizes: An array of available sizes and their SKUs.
• images: A list of image URLs.
• Additional fields like outer_fabric_material, care_instructions, etc., provide comprehensive details about each product.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Get Data For Me

We're here to help you get the most out of this Actor!