IKEA sells the same series through dozens of country storefronts at different prices. We run the IKEA scraper for you and hand over product, price and availability data ready to use.
Plans from €169/month · Free project assessment · Reply within 1 business day
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, article lists and fields; we handle parsing, monitor the site for template changes, and deliver clean, structured data on your schedule. Anti-bot handling, proxy rotation and CAPTCHA solving are part of the service. We can export to CSV, Excel, or JSON, and other formats convenient for you, and every row keeps the article number, the market and the capture time. We collect public product information only - no sign-in, no accounts, and no personal data.
An IKEA product page is addressed as /p/ plus a slug and the article number, and that number is the identifier the rest of the site keys on. It is eight digits, printed on the page grouped as 502.638.38 and carried in the URL as the same digits without the dots. Every colour and every size is a separate article: the white BILLY at 40x28x202 cm and the same shelf in oak effect are different numbers. Combination products take their own identifier with a leading s in the URL and print a component list, each component with its own article number. These are the fields we extract from IKEA.
We also run the IKEA data scraper for the parts that need design work rather than a selector.
Stock is a store question, not a country question. The page asks for a postcode and a store before it reports anything, and shows a checking state until one is chosen. Once a store is set, IKEA says whether the article is there, and for larger furniture it prints the aisle and bin in the self-serve warehouse; smaller items get a marketplace department instead, such as Cooking and Eating. Store-level work multiplies the run, so the store list is agreed up front and every reading is timestamped.
Buying options. Delivery and collection choices appear once a postcode is entered, and the British site prints loyalty points beside the price. An in-store-only price is a separate figure from the online one and belongs in its own column.
The rest of the page. Accessory blocks, related products, the wider series listing and the component list on combinations all carry article numbers you can follow to build the series graph. Category listings state a total item count and load in blocks behind a show-more control, so coverage is driven by the crawler rather than by a next-page link.
IKEA has sold flat-pack, self-assembly furniture since 1943, when it started in southern Sweden. The business runs as a franchise: Inter IKEA Systems licenses the concept, and franchisee groups operate the stores and the online shops in their own markets. That is why ikea.com behaves like several dozen shops sharing one brand rather than a single catalogue.
Addresses follow a country and language pattern - ikea.com/us/en/, ikea.com/gb/en/, ikea.com/de/de/, ikea.com/pl/pl/ - while a few markets sit on their own domain, such as ikea.com.hk. Each storefront carries its own assortment, currency in USD, GBP, EUR or PLN, and language. The series name survives translation and the type descriptor does not: the same shelf is billy-bookcase-white in the British address and billy-buecherregal-weiss in the German one. Units switch with the market, centimetres and kilograms in Europe against inches and pounds in the United States.
The assortment is built from long-lived named series - BILLY, KALLAX, PAX, MALM, METOD - under the principle IKEA calls democratic design, balancing form, function, quality, sustainability and low price. Circular programmes such as buy-back and the in-store As-is corner sit beside the main range. The consequence for a data buyer is blunt: a series name is stable across borders, the articles inside it are not.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Teams scrape IKEA because the same shelf is not the same offer in two countries. The white BILLY at 40x28x202 cm is article 502.638.38 in both the United Kingdom and Germany, at 35 pounds against 39.99 euros, and the British page adds an in-store-only price of 25 pounds while stock lasts. Repeat that across a category and you have a cross-country price comparison no single storefront will show you.
The article number is what makes the comparison exact, and also what limits it. Where an article is sold in two markets it is the same product, so matching needs no fuzzy title logic. Where it is not, the comparison has to stop: the American range is not the European one, and the comparable US bookcase carries its own number, 505.220.40, at its own price. Measuring that overlap is usually the first thing a client learns from IKEA price data.
Past price, IKEA scraping answers assortment questions: which articles entered and left a series between two runs, which finishes were dropped, when a Last chance label appeared and how long it stayed. Furniture price monitoring against IKEA is a standing job for anyone selling into the same shelf.
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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.
Yes. The ScrapeIt IKEA API returns article numbers, series names, prices in the market currency, promotion labels, measurements and store availability as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files or straight into your database.
Yes, and the article number is what makes it exact. Where the same eight-digit article is sold in two markets it is the same product, so nothing has to be matched on title: 502.638.38 is the white 40x28x202 cm BILLY in the United Kingdom and in Germany alike. Where an article exists in one market only, we report that rather than pair it with a look-alike, because assortments genuinely differ and the United States range is not the European range. You get one row per article per market, with currency, local price, promotion and capture date, so the overlap between markets is measurable instead of assumed.
Yes, with the scope agreed in advance. IKEA availability is not a national figure: the site asks for a postcode and a store before it reports anything, and for larger furniture it also shows the aisle and bin in the self-serve warehouse. That makes store-level work a multiplier, because every article has to be checked against every store on your list, so we size it together, agree the store list and the rate, and run it at a pace the site tolerates. Availability moves through the day, so each reading carries its own timestamp.
Core fields such as titles, prices, article numbers, variants, availability, dimensions, packaging, and images. Alongside those we take the series name and translated type descriptor, colour or finish, the regular price and any reduction, the IKEA Family price where shown, promotion labels such as Last chance and Clearance, maximum shelf load and ceiling-height notes, the materials and care breakdown, safety and compliance warnings, the assembly and care PDFs, the designer credit, and the category path. Ratings, review counts and review text with dates come with it. If you need a field that is not on that list, ask before the build and we will check whether the page carries it.
From one-off pulls to hourly, daily, or weekly runs. We agree the cadence up front. Prices, promotion windows and store availability move fastest and usually justify a daily panel, while measurements, materials and packaging are stable enough for a monthly full sweep. This is a managed service, so you do not run the extractor or maintain it - we do, and we repair it when IKEA changes a template. Delivery is CSV, Excel, JSON or an API endpoint, on your schedule, with the same column names every run.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
IKEA data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
