We extract technical specifications, pricing signals, store stock depth, and reviews from elkjop.no. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 elkjop.no. All fields typed and schema-versioned.
"sku": "374012", "title": "Samsung 65 QN90B 4K Neo QLED TV", "brand": "Samsung", "category": "TV og bilde", "price": 14990.0, "stock_online": true, "rating": 4.6, "review_count": 142
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from elkjop.no. All fields typed and schema-versioned.
"sku": "374012", "current_price": 14990.0, "previous_price": 18990.0, "discount_pct": 21, "campaign_name": "Black Week", "b2b_price": 11992.0, "currency": "NOK"
| # | sku | current_price | previous_price | discount_pct | campaign_name | outlet_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Inventory objects from elkjop.no. All fields typed and schema-versioned.
"sku": "374012", "store_id": "ELK_OSL", "store_name": "Elkjop Megastore Ullevaal", "stock_status": "in_stock", "stock_quantity": 14, "click_collect_eligible": true, "display_item": false
| # | sku | store_id | store_name | stock_status | stock_quantity | click_collect_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from elkjop.no. All fields typed and schema-versioned.
"sku": "374012", "weight": "24.2 kg", "colour": "Titan Black", "power_consumption": "84 kWh/1000h", "warranty_months": 60, "dimension_w": "144.6 cm"
| # | sku | dimension_h | dimension_w | dimension_d | weight | colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from elkjop.no. All fields typed and schema-versioned.
"review_id": "rev_84921", "sku": "374012", "rating": 5, "author": "Ola N.", "date": "2023-11-04", "verified_buyer": true, "title": "Fantastisk bildekvalitet"
| # | review_id | sku | rating | author | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Elkjop scraper handles every layer of the platform: deep technical specifications, dynamic pricing, store-level inventory APIs, and customer reviews, with full geo-unblocking and JavaScript hydration.
Capture deep technical tables, dimensions, weights, and interface specifications exactly as Elkjop formats them.
Track stock depth and availability status across 140+ physical Norwegian stores via internal API extraction.
Extract Elkjop Bedrift (B2B) pricing alongside standard consumer rates to map wholesale margins.
Monitor open-box, returned, and clearance item discounts across the entire outlet catalogue.
Extract EU energy labels, efficiency classes, and power consumption metrics for compliance tracking.
Monitor weekend sales, Black Week deals, and promotional flags applied to specific SKUs.
Correlate SKUs and pricing strategies across Elgiganten (SE/DK) and Gigantti (FI) regional sites.
Scrape native customer reviews, ratings, and verified buyer badges across all product categories.
Run continuous pipelines with change-detection. We only deliver records that changed since the last run.
Brief in. Clean data out.
Provide category URLs, search terms, or SKU lists. We map the exact data fields required.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for elkjop.no.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Nordic retailers utilise strict geo-blocking and dynamic API hydration. Here is how we maintain stable extraction.
Elkjop restricts traffic originating outside the Nordics. Our crawlers route requests through Norwegian residential ISP proxies with realistic browser fingerprints to bypass geo-fencing.
Pricing, stock levels, and store availability are loaded dynamically via frontend APIs. We run full Playwright browser sessions to trigger lazy-loads and capture fully hydrated states.
Technical specifications vary wildly between TVs, laptops, and white goods. We normalise these nested tables into a flat, predictable schema using fallback CSS and XPath selectors.
Instead of merely scraping the DOM for stock status, we intercept and query Elkjop's internal inventory APIs to extract precise stock quantities across all physical locations simultaneously.
For large SKU catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Retailers monitor Elkjop's pricing and campaign cycles to adjust their own pricing algorithms and protect margins.
Category managers track new product introductions and phase-outs across Elkjop's catalogue to optimise their own mix.
Electronics manufacturers audit Elkjop for MAP violations, incorrect product imagery, and missing technical specifications.
Distributors track store-level stock depletion rates to forecast wholesale replenishment orders.
Analysts compare online availability versus physical store stock depth to understand Elkjop's fulfillment strategy.
Compliance teams extract energy efficiency ratings across entire categories to monitor market shifts towards greener appliances.
"Elkjop dictates consumer electronics pricing across the Nordics. If you do not track their store inventory and campaign cycles, your pricing model operates blind."
Extracting data from elkjop.no requires navigating heavily cached frontends, dynamic inventory API calls, and strict geo-blocking. DataFlirt manages the infrastructure, rotating Norwegian residential IPs and handling JavaScript hydration, so your team receives clean, warehouse-ready records without the maintenance overhead.
Everything supported by our elkjop.no 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 handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across the Nordic region. Rotation happens per-request with sticky sessions where required to maintain location context.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 elkjop.no scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, specification, and inventory data is generally permissible for market research and competitive intelligence. DataFlirt extracts only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
Elkjop restricts access from non-Nordic IP addresses. We utilise strict routing through Norwegian residential proxy networks to ensure all requests appear as legitimate local consumer traffic.
Yes. We query the internal inventory APIs to extract exact stock quantities and display-item statuses across all 140+ physical Elkjop locations in Norway.
Yes. We can configure the pipeline to extract data under the B2B context, capturing wholesale pricing, ex-VAT rates, and business-specific stock availability.
We support daily full-catalogue refreshes or high-frequency intra-day polling for specific high-value SKUs to capture flash sales and campaign changes.
Yes. We can target the Elkjop Outlet section to track pricing and availability of returned, repaired, or open-box inventory.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 80,000 SKUs, we scope, build, and operate the pipeline. Tell us what you need.
