We extract product listings, regional pricing, store-level inventory, dimensions, and assembly metadata from Ikea. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Details objects from ikea.com. All fields typed and schema-versioned.
"article_number": "802.758.87", "name": "KALLAX", "product_family": "KALLAX", "category": "Shelving units", "price": 39.99, "currency": "USD", "designer": "Tord Björklund", "material": "Particleboard, Fibreboard"
| # | article_number | name | product_family | category | description | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions & Packaging objects from ikea.com. All fields typed and schema-versioned.
"article_number": "802.758.87", "width": "41 cm", "height": "16 cm", "length": "81 cm", "weight": "13.10 kg", "package_count": 1, "assembled_width": "77 cm", "assembled_height": "77 cm"
| # | article_number | width | height | length | weight | package_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Inventory objects from ikea.com. All fields typed and schema-versioned.
"article_number": "802.758.87", "store_id": "412", "store_name": "Burbank", "stock_status": "IN_STOCK", "quantity": 42, "aisle": "14", "bin": "02", "checked_at": "2026-05-12T10:15:00Z"
| # | article_number | store_id | store_name | country | stock_status | quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from ikea.com. All fields typed and schema-versioned.
"article_number": "802.758.87", "region": "us/en", "base_price": 49.99, "current_price": 39.99, "currency": "USD", "ikea_family_price": 34.99, "discount_pct": 20, "price_timestamp": "2026-05-12T10:15:00Z"
| # | article_number | region | base_price | current_price | currency | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Navigation objects from ikea.com. All fields typed and schema-versioned.
"category_id": "10382", "category_name": "Bookcases", "parent_category": "Living room storage", "url": "/us/en/cat/bookcases-10382/", "product_count": 142, "sort_order": 1, "scraped_at": "2026-05-12T10:15:00Z"
| # | category_id | category_name | parent_category | url | product_count | banner_image |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ikea scraper navigates regional domains, GraphQL endpoints, and store-specific inventory APIs to extract the full product catalogue with precise local availability.
Extract article numbers, product families, descriptions, and metadata across all categories.
Track exact stock quantities, restock dates, and physical aisle and bin locations per store.
Monitor price variations across different countries and states, including Ikea Family discounts.
Capture assembled dimensions, packaging sizes, weights, and detailed material compositions.
Extract direct links to assembly PDFs and part lists for every article number.
Map individual article numbers to their parent families like BILLY, HEMNES, or KALLAX.
Extract tagged products and coordinates from Ikea's room inspiration photographs.
Scrape data from ikea.com/us/en, ikea.com/gb/en, ikea.com/in/en, and other regional variants.
Run daily catalogue refreshes or configure hourly pipelines for fast-moving inventory tracking.
Brief in. Clean data out.
Provide target regions, categories, or specific article numbers. We design the extraction schema together.
We configure Scrapy crawlers, intercept GraphQL API calls, and manage session headers for local inventory access.
Schema validation, null-rate checks, and cross-region price normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed cadence.
Ikea uses complex regional routing, GraphQL APIs, and strict rate limits on inventory endpoints. We handle the complexity.
Ikea routes traffic based on IP geolocation and strict cookie policies. Our residential proxies ensure requests hit the correct regional endpoint without being redirected or blocked by edge protection networks.
Instead of parsing complex DOM structures, we intercept Ikea's backend GraphQL queries to extract clean, structured product data directly from the source API.
Accessing local store inventory requires specific store IDs and session headers. We maintain active sessions across hundreds of store endpoints to query exact stock quantities and bin locations concurrently.
We bypass lazy-loading scripts to extract direct URLs for high-resolution product images, lifestyle photos, and assembly PDFs hosted on Ikea's global CDN.
Ikea updates its frontend framework frequently. By targeting backend APIs and maintaining fallback CSS selectors, we ensure your data pipeline remains stable during site overhauls.
Furniture retailers track Ikea's baseline pricing across categories to adjust their own promotional strategies.
Merchandising teams analyse Ikea's product families, dimensions, and material choices to identify market gaps.
Analysts monitor store-level stockouts and restock dates to gauge global supply chain health and consumer demand.
3D planning tools and design apps ingest exact dimensions and image assets to populate their digital catalogues.
Used furniture marketplaces use current retail prices and product families to automate valuation models for sellers.
Agencies track the introduction of new materials and sustainability metrics across Ikea's global product lines.
"Ikea's catalogue is the global baseline for furniture pricing and design trends, but accessing store-level inventory requires navigating fragmented regional APIs."
Extracting data from Ikea at scale means dealing with edge bot protection, undocumented GraphQL endpoints, and complex regional routing. DataFlirt manages this infrastructure so your team can focus on assortment analysis and pricing strategy, not HTTP headers.
Everything supported by our ikea.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright manages token generation and API interception for local inventory checks.
We maintain pools of residential ISP proxies mapped to specific Ikea regions to prevent edge routing blocks and rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About ikea.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and store inventory data from Ikea is generally permissible. DataFlirt targets only public data and does not extract personal user information or breach authentication walls.
We use location-specific residential proxies and strict cookie management to ensure our crawlers are routed to the correct regional endpoint, bypassing edge protection systems.
Yes. We can target specific store IDs to extract exact stock quantities, restock dates, and physical aisle and bin locations for any given article number.
We support all major regions including US, UK, India, Germany, Australia, and Canada. The schema is normalised across regions to allow for direct price and assortment comparisons.
We can run daily full-catalogue refreshes or configure hourly pipelines for specific high-priority article numbers to track fast-moving inventory.
Our minimum engagement covers one specific region (e.g., ikea.com/us/en) with weekly delivery. Pricing scales based on the number of regions, update frequency, and store-level inventory requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous store-level inventory tracking — we scope, build, and operate the pipeline. Tell us what you need.
