JYSK Hungary Scraper

Scrapes furniture, mattresses, and home goods from jysk.hu (Hungary). Discovers products from JYSK's sitemap and extracts page-level JSON-LD for detailed product data in HUF.

Input

Field	Type	Required	Description
searchQuery	String	No	Search term (e.g., "ágy", "matrac", "kanapé")
categoryUrl	String	No	JYSK.hu category URL
maxResults	Integer	No	Max products (default: 100)
proxyConfiguration	Object	No	Proxy settings

Without input, the scraper fetches sitemap.xml and crawls product pages from there.

Output

Field	Type	Example
name	String	"Ágyrács 90x200 cm BALKJOSEN"
brand	String	"JYSK"
price	Number	12500
originalPrice	Number	14990
currency	String	"HUF"
ean	String	"5709132891234"
sku	String	"3554132"
productId	String	"BALKJOSEN"
inStock	Boolean	true
rating	Number	3.2
reviewCount	Number	242
imageUrl	String	Product photo
imageUrls	Array	Gallery images
description	String	Product description
category	String	"Hagyományos ágyrácsok"
categories	Array	["Hálószoba", "Ágyak", "Ágyrácsok", "Hagyományos ágyrácsok"]
language	String	"hu"

Two discovery strategies

1. Sitemap (default): Parses sitemap.xml, filters product URLs by your searchQuery slug, and scrapes each product page.
2. Category crawl: Provide a categoryUrl and the scraper follows product links on that category page (URLs with 3+ path segments) with pagination.

Product pages are parsed from JSON-LD and enriched with sale prices and online stock indicators pulled from the HTML.

Notes

• Hungarian JYSK site (jysk.hu). Content in Hungarian, prices in Hungarian forint (HUF, whole numbers with no decimals).
• JYSK product URLs have at least 3 path segments: /{category}/{subcategory}/{product-slug}.
• jysk.hu serves two JSON-LD shapes depending on the product. Single-variant products (most accessories, textiles, small furniture) use @type: "Product" with the offer, image, and SKU directly on the top-level object. Multi-variant products (e.g. bed frames sold in several sizes) use @type: "ProductGroup" with a hasVariant array — the scraper reads the group-level fields when present and falls back to the first variant's offer/image/SKU/EAN otherwise.
• jysk.hu emits @id and offers.url as absolute URLs with a stray double slash after the domain (e.g. https://jysk.hu//kert/...). The scraper uses the clean, already-normalized crawled request URL as the canonical url field instead of trying to repair those.
• Hungarian URL slugs strip diacritics (á, é, í, ó, ö, ő, ú, ü, ű become plain a, e, i, o, u), so the sitemap keyword filter diacritic-folds both the search query and the URL slug before matching — searching "ágy" correctly matches slugs containing "agy".
• Categories come straight from the JSON-LD category string; breadcrumb labels like "Főoldal" are filtered out as a fallback when JSON-LD has no category.

Why use JYSK Hungary Scraper

• Price monitoring — Track prices, stock, and promotions across JYSK Hungary at scale
• Competitive intelligence — Compare your catalog against JYSK Hungary pricing and assortment
• Market research — Analyze category trends, new arrivals, and rating distributions
• Lead generation — Build product datasets for affiliate sites, comparison tools, or feeds
• No login or cookies required — Authenticated access not needed; works out of the box

How to use JYSK Hungary Scraper

1. Open the Input tab and provide a search query, category URL, or product list
2. Adjust optional filters such as maxResults or proxy settings
3. Click Start and wait for the run to complete
4. Download results from the Output tab in JSON, CSV, Excel, XML, or HTML
5. Schedule recurring runs from the Schedule tab if you need ongoing data

How to scrape JYSK Hungary data

This Actor automates the process of extracting structured product data from JYSK.hu. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles pagination, retries, and rate limiting so you can focus on the data, not the plumbing.

Typical workflows:

• One-off export: paste a category URL or keyword, set maxResults, and run
• Scheduled monitoring: set a daily cron in the Schedule tab to track prices over time
• Programmatic integration: trigger runs from your backend via the Apify API and pull the dataset when finished
• Webhook automation: receive a callback the moment a run completes and pipe the results into Zapier, Make, n8n, BigQuery, or Google Sheets

Cost

About $0.25 per 1,000 products (roughly $0.00025 per result). Apify's usage-cost figure for a run only settles to its final value after the run reports SUCCEEDED — reading the dataset while a run is still in progress will show a cost far below the real total, so wait for SUCCEEDED before comparing cost per result.

Tips for best results

• Start small — run with maxResults: 10 before launching large jobs
• Use proxies — residential proxies reduce blocking on protected sites
• Throttle on big jobs — keep maxConcurrency modest (5–10) for stability
• Schedule runs — daily runs are usually enough for price monitoring
• Inspect the dataset schema — the Storage tab shows the full output structure

FAQ and support

Is it legal to scrape JYSK Hungary? This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits.

Why am I getting fewer results than expected? Some categories have hidden pagination or load more on scroll. Increase maxResults and verify your filters.

Can I extract data for a single product? Yes — provide the full product URL as a categoryUrl and the scraper will follow the links it finds on that page.

The site blocks me — what should I do? Enable Apify residential proxies in the input. Datacenter IPs are blocked by many e-commerce sites.

For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support@apify.com. We monitor every actor and ship fixes quickly when sites change.