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Zalando Product Detail Ec Spider

Introduction

The Zalando Product Detail Ec Spider is a powerful tool designed to extract detailed product information from Zalando's website. It efficiently gathers data such as images, attributes, pricing, and stock availability, providing comprehensive insights into each product.

Features

• Comprehensive Data Extraction: Captures detailed product information including images, attributes, prices, and stock status.
• High-Quality Data: Ensures reliable and accurate data extraction for informed decision-making.
• Flexible Configuration: Allows customization of URLs and item limits to suit specific needs.
• Efficient Performance: Optimized for speed and efficiency in data scraping.
• User-Friendly Setup: Easy configuration with clear input parameters.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	The URLs for the spider to scrape.	["https://www.zalando.co.uk/redefined-rebel-fabian-boxy-fit-shirt-turkish-coffee-r0622d06m-o11.html"]
item_limit	integer	No	Maximum items to scrape per actor run. Set to 0 for no limit.	10

Example Usage

Input JSON

{
  "Urls": [
    "https://www.zalando.co.uk/redefined-rebel-fabian-boxy-fit-shirt-turkish-coffee-r0622d06m-o11.html"
  ],
  "item_limit": 10
}

Output JSON

[
  {
    "productUrl": "https://www.zalando.co.uk/redefined-rebel-fabian-boxy-fit-shirt-turkish-coffee-r0622d06m-o11.html",
    "images": [
      "https://img01.ztat.net/article/spp-media-p1/57ec33df4a39446a9b4389fbab0c6f41/6fdf98905ea0440699ecdf8a8e28c2fe.jpg?imwidth=300",
      "https://img01.ztat.net/article/spp-media-p1/a2570262a19841bf83e3b4f821daf4b9/a711ccd3262247a784dfa528defd65f0.jpg?imwidth=300",
      "https://img01.ztat.net/article/spp-media-p1/fa0677094ff3422faf7ea6991bdeba30/6dd350763680491ab9fe6e64e809a44e.jpg?imwidth=300"
    ],
    "attributes": {
      "brand": "Redefined Rebel",
      "color": "turkish coffee",
      "targetGroup": "MEN",
      "productGroup": "CLOTHING",
      "availableSizes": ["L", "M", "S", "XL", "XS", "XXL"]
    },
    "scraperVersion": "1.0.0",
    "productId": "ern:product::R0622D06M-O11",
    "title": "FABIAN BOXY FIT - Shirt - turkish coffee",
    "description": null,
    "category": "Casual Shirts",
    "brand": "Redefined Rebel",
    "currency": "GBP",
    "salePrice": 31,
    "listPrice": 34.99,
    "discountPercentage": 11,
    "isInStock": true,
    "stockQuantity": null,
    "sku": "R0622D06M-O11",
    "upc": null,
    "actor_id": "jEKiUxk44SrYh9YgG",
    "run_id": "rtfZFkrkWGmcnhTVB"
  }
]

Use Cases

• Market Research and Analysis: Gain insights into product offerings and market trends.
• Competitive Intelligence: Monitor competitor pricing and product availability.
• Price Monitoring: Track price changes over time for strategic decision-making.
• Content Aggregation: Aggregate product data for marketing or sales purposes.
• Academic Research: Use detailed product information for research projects.
• Business Automation: Automate data collection processes to enhance efficiency.

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 is a JSON array containing objects with detailed product information:

• productUrl: The URL of the scraped product page.
• images: An array of image URLs.
• attributes: A dictionary of product attributes such as brand, color, and sizes.
• scraperVersion: Version of the scraper used.
• productId: Unique identifier for the product.
• title: Product title.
• description: Product description (if available).
• category: Product category.
• brand: Brand name.
• currency: Currency code.
• salePrice: Current sale price.
• listPrice: Original list price.
• discountPercentage: Discount percentage if applicable.
• isInStock: Boolean indicating stock availability.
• stockQuantity: Available stock quantity (if available).
• sku: Stock Keeping Unit.
• upc: Universal Product Code (if available).
• actor_id: Unique identifier for the actor run.
• run_id: Unique identifier for the specific run.

Error Handling

The spider includes error handling to manage common issues such as network errors, invalid URLs, and data parsing errors. If an error occurs, it will be logged in the Apify console, allowing you to review and address any issues promptly.

Rate Limiting and Best Practices

To ensure optimal performance and avoid being blocked by Zalando's servers:

• Respect Rate Limits: Configure delays between requests if necessary.
• Use Multiple Actor Runs: For large datasets, consider running multiple instances with different URL sets.
• Monitor Logs: Regularly check logs for any rate limiting warnings or errors.

Limitations and Considerations

• Dynamic Content: Some product details may be loaded dynamically via JavaScript, which might not be captured if the page structure changes.
• URL Validity: Ensure URLs are valid and accessible to avoid extraction failures.
• Data Changes: Zalando's website layout or data presentation may change, potentially affecting data accuracy.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: Contact Us

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