Megekko Scraper

Scrape product data from Megekko.nl, the Dutch electronics and computer hardware retailer. Get structured product listings — name, brand, price, stock, EAN/GTIN, manufacturer part number, specifications, and images — straight from any category or product page.

This is the most complete Megekko scraper available: every field the site exposes, from list-page essentials to the full grouped specification table on each product page.

What it does

• Scrape any category — paste a category URL (e.g. graphics cards, laptops, processors) and the scraper paginates through every product.
• Scrape specific products — paste product URLs directly.
• Optional deep detail — turn on fetchDetails to pull the full specification table, product description, and complete image gallery from each product page.

How to use

You can scrape in three ways — by keyword, by category URL, or by direct product URL. Combine them or use any one on its own.

1. Search by keyword — enter a term under Search keyword (e.g. samsung 990 pro, rtx 4070, ddr5). Megekko is searched across all categories and results are paginated automatically.
2. Category or product URLs — add one or more Megekko category or product URLs under Category or product URLs.
3. Set Max results (use 0 for unlimited).
4. Turn on Fetch detail pages if you want full specifications, descriptions, and image galleries.
5. Run.

Example category URL: https://www.megekko.nl/Computer/Componenten/Videokaarten/Nvidia-Videokaarten

Filtering & sorting

Narrow results without post-processing:

• Sort order — relevance, price low to high, price high to low, newest, or biggest discount. Applies to category listings; keyword search always uses relevance. Price sort plus a Max results limit is the cheapest way to grab the lowest- or highest-priced items.
• Minimum / maximum price — keep only products within a price band, in euros.
• In stock only — drop unavailable products.
• Brands — keep only the brands you list (e.g. Samsung, Corsair).
• Minimum wishlist count — a popularity floor, using how many shoppers saved the product.
• Exclude keywords — drop products whose name contains a term (e.g. refurbished, open box).

Brand and stock status come from the detail page, so turn on Fetch detail pages when filtering on those. Price, wishlist, and keyword filters work on listings alone.

Output

Every product returns the fields below. List-page fields are always present. The detail fields are populated only when Fetch detail pages is enabled.

Always present

Field	Type	Description
productId	string	Megekko internal product ID
sku	string	Stock keeping unit (same as product ID)
gtin13	string	EAN/GTIN-13 barcode
mpn	string	Manufacturer part number
name	string	Full product name
brand	string	Brand or manufacturer
url	string	Product page URL
price	number	Current price in euros
priceText	string	Price as shown on site (e.g. "629,-")
currency	string	Currency code (EUR)
condition	string	Product condition (e.g. NewCondition)
availability	string	Stock state (e.g. InStock)
inStock	boolean	True when the product is in stock
priceValidUntil	string	Date the listed price is valid until
deliveryText	string	Delivery line shown on the card (e.g. stock and lead time)
wishlistCount	number	Number of customers who wishlisted the product
thumbnail	string	Product thumbnail image URL
categoryId	string	Megekko category ID from the product URL
keySpecs	object	Headline specifications shown on the list card
scrapedAt	string	Timestamp when the product was scraped (ISO 8601)
descriptionMarkdown	string	Description in Markdown/plain text.

With fetchDetails: true

Field	Type	Description
description	string	Full product description
specs	object	Complete specification table, grouped by section (Design, Performance, Ports, etc.)
specCount	number	Total number of specification rows extracted
images	array	All product gallery image URLs
breadcrumb	array	Category breadcrumb path

Notes

• Prices and stock are read live at run time and reflect what the site shows at that moment.
• The scraper reads publicly available product data only. It does not collect personal data.

Pricing

$0.99 per 1,000 results. Volume discounts apply automatically based on your Apify subscription, down to $0.69 per 1,000 results. You only pay for results.

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