Lidl Belgium Product Scraper

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Harvest Edge / Lidl Belgium Scraper

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Harvest Edge makes business information available to everyone!

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Warning

This scraper returns the results that are available on the lidl.be website. This website returns a lot of false positives. For example a search for 'cola' will usually also return a plant and shampoo. Some searches return no results on the website, for example 'kip'.

Overview

The Lidl Belgium Product Scraper extracts structured grocery and retail product data directly from the Lidl Belgium webshop (lidl.be).

The actor performs a search on Lidl Belgium using a user-defined keyword and scrapes dynamically rendered product cards using Playwright.

The actor extracts rich product data including:

• Product names
• Brands
• Prices
• Promotions
• Original prices
• Quantity / packaging information
• Availability labels
• Product URLs
• Product image URLs

Ideal for:

• Grocery price monitoring
• FMCG analytics
• Retail intelligence
• Promotion tracking
• Ecommerce product aggregation
• Belgian supermarket data collection
• Competitor analysis
• Product catalog enrichment

Keywords:

lidl scraper, lidl belgium scraper, lidl.be scraper, grocery scraper, supermarket scraper, belgium grocery data, ecommerce scraping, retail scraping, product price scraper, FMCG data extraction, online supermarket scraper, grocery API alternative, supermarket pricing, promotion tracking, belgian retail intelligence

boodschappen scraper, supermarkt data, prijsvergelijking, product scraping, retail data extractie, supermarkt prijzen België, FMCG analyse, promoties supermarkt, ecommerce data scraping

scraping supermarché, extraction données produits, scraping ecommerce, scraping alimentaire, prix produits, promotions supermarché, données retail Belgique, données FMCG, comparaison de prix

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Features

• Search-based product scraping
• Automatic cookie acceptance
• Automatic Dutch language selection
• Extracts:
  • Product ID
  • Brand
  • Product name
  • Current price
  • Original / crossed-out price
  • Promotion labels
  • Quantity / packaging info
  • Availability text
  • Product URL
  • Image URL
• Automatic duplicate filtering

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Input

The Actor accepts the following input parameters:

Key	Type	Description	Default	Required
search_term	String	Product search query (e.g. "cola", "shampoo")	cola	Yes
max_products	Integer	Maximum number of products to scrape	500	No

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Example Input

{
  "search_term": "cola",
  "max_products": 100
}

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Output

The Actor outputs a dataset in JSON format with the following fields:

Field	Type	Description
product_id	String	Lidl internal product ID
name	String	Product name
brand	String	Brand name
price	Number	Current product price in euros
original_price	Number	Original crossed-out price if promotion exists
promotion	String	Promotion label text
quantity	String	Quantity / packaging information
availability	String	Availability message shown on product card
product_url	String	Full Lidl product URL
image_url	String	Product image URL
search_term	String	Search query used
scraped_at	String	UTC timestamp of scraping

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Example Output

{
  "product_id": "10016237",
  "name": "Cola zero",
  "brand": null,
  "price": 0.77,
  "original_price": null,
  "promotion": null,
  "quantity": "2 l - 0,39 EUR/l",
  "availability": "Enkel in de winkel",
  "product_url": "https://www.lidl.be/p/nl-BE/cola-zero/p10016237",
  "image_url": "https://imgproxy-retcat.assets.schwarz/example.jpg",
  "search_term": "cola",
  "scraped_at": "2026-05-12T18:42:11.312Z"
}

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Notes

• Promotions are only included when visible on the product card.
• Availability text may contain temporary sales periods.
• Product pricing and promotions can change frequently.
• Lidl Belgium may update frontend structure at any time, which could require scraper updates.
• The scraper automatically removes duplicate products.

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Support

Feel free to contact Harvest Edge at combineharvesterdata@gmail.com for:

• Feature requests
• Bug reports
• Enterprise grocery scraping solutions
• Custom supermarket datasets
• Retail intelligence pipelines
• Ecommerce data extraction projects

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