Klarna Category Products Scraper

Klarna Category Products Scraper

by m3web

Extract product prices & data by category from Klarna. Great for retail analysis, market tracking & competitive insights.

199 runs
4 users
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Opens on Apify.com

About Klarna Category Products Scraper

Extract product prices & data by category from Klarna. Great for retail analysis, market tracking & competitive insights.

What does this actor do?

Klarna Category Products Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Klarna Category Products Scraper ## Overview This scraper extracts product data from Klarna's "Shop & Compare Prices" sections, available in multiple countries. It collects results from category and subcategory pages, including optional filters like brand, retailer, price, rating, availability, and sorting preferences. You can use this scraper to collect product listings, analyze retailer pricing, and monitor filtered Klarna categories across their price comparison platform. > 👉 Looking to extract all retailer offers for a single product instead? > Check out the companion tool: Klarna Product Offers Scraper --- ## Supported Domains Currently works with category URLs from these Klarna domains: | Website | Country | | :--------------------------------------------------------------------- | :------------------ | | www.klarna.com/at/ | Austria | | www.klarna.com/fi/ | Finland | | www.klarna.com/fr/ | France | | www.klarna.com/de/ | Germany | | www.klarna.com/ie/ | Ireland | | www.klarna.com/it/ | Italy | | www.klarna.com/nl/ | Netherlands | | www.klarna.com/no/ | Norway | | www.klarna.com/es/ | Spain | | www.klarna.com/us/ | United States | > 🌍 Need to scrape category product data for other European markets like the UK, Denmark, or Sweden? > Check out the companion scraper built for PriceRunner’s platform: PriceRunner Category Products Scraper ## 🧭 What Filters and Sorting Does This Scraper Support? This tool understands and copies the filters you use on Klarna’s shopping website. That means — if you’re browsing Klarna and you click on: - Sort by (price, popularity, rating, price drop, etc.) ### Filters: - Subcategories - Brands (like adidas, Nike, Asics, etc. ) - Retailers (like Amazon, StockX, etc.) - Minimum and maximum price - Only show items in stock - Minimum rating (1 to 4 stars) …this scraper sees all of that and automatically adds those settings when collecting the product data. You don’t have to configure anything manually — just copy the URL of the page after you’ve applied your filters on Klarna, and paste it into the input. The scraper takes care of the rest behind the scenes. ### Example If you go to Klarna https://www.klarna.com/us/shopping/cl/cl337/Shoes/ and select: - Sort by lowest price - Subcategory: Sneakers - Brand: adidas - Retailer: Amazon - Price between $50 and $200 - Show only items in stock Your browser URL might look something like: https://www.klarna.com/us/shopping/cl/cl337/Shoes/?cat=30298883-30298901&man_id=4697#price_max=200&price_min=50&retailer=259493&onlyInStock=true Just copy that and give it to the scraper. It will include all those settings while fetching the data. No special setup, no tech know-how — just use Klarna as usual, and this tool will follow your filters. 🧠💡 --- ## Sample Output json { "category": "Shoes", "id": "3400061600", "name": "adidas Samba OG Shoes - White/Night Indigo/Cream", "lowestPrice": "55.00", "currency": "USD", "oldPrice": "64.00", "priceDropPercent": "14.06", "retailer": "StockX", "retailerID": "258064", "brand": "adidas", "description": "Sneaker, Man", "url": "https://www.klarna.com/us/shopping/pl/cl337/3400061600/Shoes/adidas-Samba-OG-Shoes-White-Night-Indigo-Cream/", "image": "https://owp.klarna.com/product/3206770878/adidas-Samba-OG-Shoes-White-Night-Indigo-Cream.jpg" } > Note on “Retailer” Filtering: > When selecting a specific retailer in the Klarna URL, the filter applies only to products offered by that retailer. However, the scraper always returns the lowest-priced offer for each product — regardless of who the seller is. > > This behavior is useful for sellers listed on Klarna’s shopping section who want to: > - Analyze pricing competitiveness > - Benchmark against market-wide prices for the products they stock --- ## Important Notice on Disallowed URLs This scraper is designed to fully respect Klarna’s robots.txt rules. According to these guidelines, certain types of pages are disallowed and will be automatically skipped, including: - URLs containing /shopping/results/ - Any link using a search= parameter - Klarna’s /sale/ pages or URLs that include s_price_drop= These pages represent dynamic search or promotional views that are not permitted for automated access. Users are advised not to generate input URLs using Klarna’s on-site search function or the “Sale” section. However, if you wish to retrieve sale or discounted products, you can still use “Sort by price drop” inside any allowed category page. This is supported and respects the rules defined in Klarna’s robots.txt file. > 🛡️ No worries — any disallowed URL will be automatically skipped by the scraper. Your inputs remain safe and compliant. --- ## Compliance with Klarna Robots.txt This scraper was designed to comply with the directives specified in the klarna.com robots.txt file as of 25.06.2025. It targets only publicly available category data via approved API endpoints and avoids all disallowed paths or dynamic search result pages. URL validation is built into the scraper to help ensure respectful and rule-aligned usage.

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

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Actor Information

Developer
m3web
Pricing
Paid
Total Runs
199
Active Users
4
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