IKEA has shaped home furnishing since 1943. Flat-pack design and value pricing made it a global standard, with country sites across Europe, North America, and beyond. What appears on ikea.com influences how people shop and what they expect from the category. We use our IKEA scraper on your behalf. We collect the data and deliver it ready to use, so you can compare markets, follow range updates, and benchmark against a brand shoppers have trusted for decades.
This is a done-for-you service: we use our IKEA web scraper on your behalf — no software to run and no dashboards to learn. You choose countries, categories, and fields; we handle parsing, monitor site changes, and deliver clean, structured data on your schedule. We can export to CSV, Excel, or JSON, and other formats convenient for you.
We also run our IKEA data scraper for additional context that influences buying decisions:
IKEA was founded in 1943 in Småland, Sweden, and grew into a global home-furnishing icon by popularising flat-pack, self-assembly design. The brand operates via a franchise system: Inter IKEA Systems licenses the concept, while regional partners run retail and e-commerce. Its “democratic design” approach — balancing form, function, quality, sustainability, and low price — shaped expectations for the entire category.
IKEA uses a global gateway at ikea.com with localized country paths (e.g., /us/en/, /gb/en/, /pl/pl/), while some regions operate dedicated domains such as ikea.cn, ikea.com.hk, and ikea.tw. Interfaces are fully localized by market (English, German, French, Polish, and more), and prices are displayed in the local currency — USD, GBP, EUR, PLN, etc.
The range is organised around long-lived, modular systems (BILLY, KALLAX, PAX, BESTÅ, METOD) and distinctive Swedish product names, creating consistency across countries with room for local adaptation. IKEA’s scale, logistics innovation, and circular initiatives (buy-back, “As-Is”) amplify its influence on styles and price tiers worldwide. For anyone tracking the home sector, IKEA’s choices often signal where the market is heading.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for IKEA — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
When you scrape IKEA, you see how a global leader structures ranges, options and services by country, and how that influences shopper expectations. The data helps you benchmark pricing ladders, track regional stock signals and delivery terms, and time your own launches against changes in collections and availability.
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ScrapeIt is a data services company. We collect web data for e-commerce, real estate, job boards, classifieds, marketplaces, and others. We gather data from well-known platforms such as IKEA, Boots, and Zara — and many more — using dedicated scrapers we operate on your behalf, including our IKEA scraper. We run the extractors, handle parsing and monitoring, and deliver clean product data on the cadence you choose. No software to install. You get exactly the fields you request and a single point of contact.
No. This is a managed service — we run the extractor and deliver the files to you.
From one-off pulls to hourly, daily, or weekly runs. We agree the cadence up front.
Core fields such as titles, prices, article numbers, variants, availability, dimensions, packaging, and images.
Yes — where shown, we capture rating averages, review counts, and review text with dates.
Yes. We include product information like materials, care notes, assembly PDFs, and delivery/Click & Collect options.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
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NIP: 5423457175
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