We extract furniture listings, material specifications, variant matrices, and campaign pricing from Ellos.se. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from ellos.se. All fields typed and schema-versioned.
"product_id": "1639402", "title": "Soffa Leone 3-sits", "brand": "Ellos Home", "category": "Furniture", "sub_category": "Sofas", "material": "Linen blend", "dimensions": "W220 x D90 x H85 cm", "page_url": "https://www.ellos.se/ellos-home/soffa-leone-3-sits/1639402"
| # | product_id | title | brand | category | sub_category | description |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from ellos.se. All fields typed and schema-versioned.
"product_id": "1639402", "variant_id": "1639402-01", "price_sek": 8999.0, "original_price_sek": 11999.0, "discount_pct": 25, "campaign_name": "Spring Home Sale", "in_stock": true, "delivery_time_days": "5-7"
| # | product_id | variant_id | price_sek | original_price_sek | discount_pct | campaign_name |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Variants objects from ellos.se. All fields typed and schema-versioned.
"product_id": "1639402", "variant_id": "1639402-01", "colour": "Beige", "colour_code": "01", "size": "3-sits", "sku": "ELL-1639402-01", "is_primary_variant": true
| # | product_id | variant_id | colour | colour_code | size | sku |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from ellos.se. All fields typed and schema-versioned.
"review_id": "REV-99281", "product_id": "1639402", "rating": 4.5, "reviewer_name": "Anna S.", "review_date": "2023-10-14", "text": "Valdigt fin och bekvam soffa. Fargen stammer overens med bilden.", "verified_buyer": true
| # | review_id | product_id | rating | reviewer_name | review_date | title |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Category Taxonomy objects from ellos.se. All fields typed and schema-versioned.
"category_id": "CAT-301", "category_name": "Soffor", "parent_category": "Mobler", "url_slug": "/hem-inredning/mobler/soffor", "total_products": 412, "breadcrumb": "Hem & Inredning > Mobler > Soffor"
| # | category_id | category_name | parent_category | url_slug | breadcrumb | total_products |
|---|---|---|---|---|---|---|
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Our Ellos.se scraper handles dynamic variant loading, Swedish localisation, campaign pricing logic, and stock depth tracking - with JavaScript rendering and session management built in.
Title, description, dimensions, materials, care instructions, and brand attribution across all Ellos Home categories.
Extract all colour and size combinations per parent product, linking specific SKUs to their respective images and prices.
Capture base price, discounted price, discount percentage, and active campaign badges in SEK.
Monitor variant-level stock status and estimated delivery windows directly from the Swedish frontend.
Extract primary, gallery, and variant-specific image URLs at maximum resolution.
Aggregate customer feedback, star ratings, and review text to gauge product sentiment and quality.
Map the full Ellos.se site structure, capturing breadcrumbs and category-level product counts.
Native parsing of Swedish date formats, currency symbols, and specific measurement units.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand filters, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for ellos.se.
Schema validation, null-rate checks, price-outlier detection, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
European e-commerce sites employ strict rate limiting and complex front-end architectures. Here is how we ensure reliable data delivery.
Ellos.se serves localised content and blocks aggressive non-Nordic traffic. We route requests through Swedish residential proxies to ensure accurate SEK pricing and avoid geo-blocking.
Selecting a colour or size on Ellos.se triggers asynchronous XHR requests to update price, stock, and images. We use Playwright to simulate these interactions and capture the full variant matrix.
Certain discounts or Klubbpris offers require specific session states or cookies. Our crawlers manage cookie jars to extract both standard and campaign pricing accurately.
E-commerce DOMs change during major sales events. We use multiple fallback chains - CSS, XPath, and JSON-LD - to maintain pipeline integrity.
We maintain a hash index of last-seen values for prices and stock. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Nordic furniture retailers track Ellos Home pricing and discount cadences to adjust their own promotional strategies.
Merchandising teams analyse Ellos.se category depth and material trends to identify gaps in their own product catalogues.
Supply chain analysts monitor out-of-stock rates on key furniture lines to gauge supply chain health and consumer demand.
Third-party brands sold on Ellos.se monitor their product placement, pricing, and review sentiment across the platform.
Interior design platforms ingest colour, material, and category data to identify emerging Nordic home decor trends.
Computer vision teams use categorised high-resolution furniture images to train object detection and style-matching models.
"Ellos.se holds critical pricing and assortment data for the Nordic home and fashion market - but extracting accurate variant-level stock requires precise execution."
Most teams underestimate the complexity of scraping modern e-commerce architectures. Reliable Ellos.se extraction requires Swedish residential proxies, full JavaScript rendering for variant matrices, and continuous selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our ellos.se 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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and variant interaction flows.
We maintain pools of Swedish residential proxies. Rotation happens per-request with sticky sessions where required to maintain currency and regional settings.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About ellos.se scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Ellos.se is generally permissible under applicable EU laws. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
Ellos.se loads variant data asynchronously. We use Playwright to simulate user interactions or intercept the underlying XHR/API requests to capture accurate pricing and stock depth for every SKU combination.
Yes. We route requests through Swedish IPs to ensure prices are returned in SEK and localised text is captured natively.
Full category refreshes complete within a 4-8 hour window depending on scale. Targeted pipelines for specific competitor SKUs can run at hourly cadences.
Yes. We extract the original price, current price, discount percentage, and any promotional badges to track sales velocity and promotional strategies over time.
Yes. We capture the direct CDN URLs for all gallery images, including variant-specific images and zoom-level resolutions, which is highly requested by computer vision teams.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off furniture catalogue dump or a continuous price-monitoring feed across the Nordic market - we scope, build, and operate the pipeline. Tell us what you need.
