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🕷️ Lundsandberlys Parser Spider

The Lundsandberlys Parser Spider is an Apify Actor built to extract detailed product information from Lunds & Byerlys — a well-known U.S. grocery retailer. It accurately parses product details from individual product URLs, returning rich structured data ideal for analytics, monitoring, and product catalog management.

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📘 How It Works

Provide one or more product URLs, and the Actor will scrape detailed data such as the product name, brand, pricing (list/sale), category, availability, and image URL.

This Actor is perfect for:

• Tracking grocery product details and discounts
• Market and competitor price monitoring
• Product catalog enrichment for retail analytics

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⚙️ Input Example

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  },
  "Urls": [
    "https://www.lundsandbyerlys.com/sm/pickup/rsid/1007/product/l&b-ready-to-heat-chicken-tenders-id-00262689000000"
  ]
}

Input Fields

Field	Type	Description
proxy	object	Proxy configuration for accessing product pages safely.
useApifyProxy	boolean	Enables Apify Proxy; recommended to set as true.
apifyProxyGroups	array	Recommended: ["RESIDENTIAL"] for stable scraping performance.
apifyProxyCountry	string	Sets the proxy country (e.g., "US").
Urls	array	List of full product URLs to scrape data from.

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📤 Output Example

The Actor returns structured product data like this:

[
  {
    "source_metadata": {
      "source_id": "www.lundsandbyerlys.com",
      "source_url": "https://www.lundsandbyerlys.com/sm/pickup/rsid/1007/product/l&b-ready-to-heat-chicken-tenders-id-00262689000000",
      "extraction_timestamp": "2025-10-19T12:07:51.776720Z",
      "scraper_version": "1.0.0"
    },
    "product": {
      "product_id": "00262689000000",
      "title": "L&B Ready To Heat Chicken Tenders",
      "description": "Pre-cooked, boneless, skinless deep fried all white meat chicken tenders crafted from hand-cut chicken breast...",
      "category": "Departments, Deli, Prepared Foods, Entrees",
      "brand": "Lunds & Byerlys",
      "sku": "00262689000000"
    },
    "pricing": {
      "currency": "USD",
      "list_price": "was $8.99 avg/ea",
      "sale_price": "$4.49 avg/ea",
      "discount_percentage": 50.06
    },
    "availability": {
      "is_in_stock": true,
      "stock_quantity": 0
    },
    "images": "https://storage.googleapis.com/images-lnb-prd-8936dd0.lnb.prd.v8.commerce.mi9cloud.com/product-images/detail/00262689000000.png",
    "attributes": null,
    "actor_id": "s9Zm33uTRqZFe1Elc",
    "run_id": "SoyBVBFrKfAoAUgqK"
  }
]

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🌟 Features

• 🛒 Extracts comprehensive product data from Lunds & Byerlys product pages
• 💲 Captures both regular and sale pricing including discount percentage
• 🏷️ Retrieves product metadata such as category, brand, SKU, and ID
• 🖼️ Collects clean image URLs for all product listings
• ⏱️ Includes timestamp and versioning for traceable data extractions

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💡 Use Cases

• Grocery Retail Analytics: Monitor product listings, sales, and discount trends
• Price Comparison Tools: Keep tabs on local or national grocery pricing
• E-commerce Enrichment: Add missing product info to internal databases
• Retail Intelligence: Understand category-wise product positioning and stock

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🧠 Notes

• Residential proxies are strongly recommended for stable and accurate scraping.
• The scraper supports multiple URLs per run.
• Output is in structured JSON format, easy to integrate into pipelines or APIs.
• All timestamps are in UTC (ISO 8601) format.

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🛠️ Support

For bug reports, feature requests, or custom output needs, please contact: 📧 support@getdataforme.com 🌐 https://getdataforme.com/contact/

Email Subject: Lundsandberlys Parser Spider - Support Request

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🧩 Version

Current release: v1.0.0 Maintainer: GetDataForMe Team Source: https://getdataforme.com

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