Fyndiq Scraper

Scrapes products from fyndiq.se, Sweden's discount marketplace. Covers everything from phone cases to kitchen gadgets at heavily reduced prices.

Input

Field	Type	Required	Description
categoryUrl	String	No	A Fyndiq category page URL
searchQuery	String	No	Search term (default: "skal" if nothing provided)
maxResults	Integer	No	Cap on results (default: 100)
proxyConfiguration	Object	No	Proxy config

Output

Field	Type	Example
name	String	"Silikon Skal till iPhone 15 Pro"
brand	String	"TechCase"
price	Number	49
originalPrice	Number	129
currency	String	"SEK"
productId	String	"abc123def"
inStock	Boolean	true
rating	Number	3.8
reviewCount	Number	56
imageUrl	String	Product image
description	String	Meta description text
category	String	Last breadcrumb category
url	String	Full URL on fyndiq.se

How it works

CheerioCrawler navigates listing pages, follows product links, and extracts data from HTML selectors and microdata. Handles Swedish price formats (e.g., "1 234 kr") and pagination via "Nasta" (next) links.

Cost

HTTP scraper, no browser. Approximately $0.30 per 1,000 products.

Things to know

• Prices are in SEK (Swedish kronor). Fyndiq is a Sweden-only marketplace.
• Product URLs contain /product/ or /produkt/ path segments.
• Stock status is inferred from Swedish text containing "lager" (in stock).

Why use Fyndiq Scraper

• Price monitoring — Track prices, stock, and promotions across Fyndiq at scale
• Competitive intelligence — Compare your catalog against Fyndiq 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 Fyndiq 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 Fyndiq data

This Actor automates the process of extracting structured product data from Fyndiq. 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

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 Fyndiq? 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 in startUrls and the scraper will return one item.

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.