We extract product catalogues, Klubi pricing, store-level stock depth, and technical specifications from Gigantti. 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 gigantti.fi. All fields typed and schema-versioned.
"sku": "374021", "ean": "8806091496924", "title": "Samsung 65 QN90A 4K Neo QLED TV", "brand": "Samsung", "price": 1299.0, "currency": "EUR", "rating": 4.6, "review_count": 342, "energy_class": "F"
| # | sku | ean | title | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Campaigns objects from gigantti.fi. All fields typed and schema-versioned.
"sku": "374021", "current_price": 1299.0, "original_price": 1799.0, "discount_pct": 27, "is_klubi_offer": true, "campaign_name": "Klubi-viikonloppu", "currency": "EUR", "timestamp": "2023-11-14T08:30:00Z"
| # | sku | current_price | original_price | discount_pct | is_klubi_offer | campaign_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Stores objects from gigantti.fi. All fields typed and schema-versioned.
"sku": "374021", "online_stock_status": "in_stock", "store_id": "GIG014", "store_name": "Gigantti Helsinki Forum", "store_stock_status": "low_stock", "pickup_available": true, "display_item_available": false
| # | sku | online_stock_status | store_id | store_name | store_stock_status | pickup_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from gigantti.fi. All fields typed and schema-versioned.
"sku": "374021", "weight_kg": 24.4, "display_technology": "Neo QLED", "refresh_rate_hz": 120, "warranty_months": 24, "color": "Titan Black"
| # | sku | weight_kg | dimensions_cm | display_technology | refresh_rate_hz | processor |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from gigantti.fi. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "374021", "rating": 5, "title": "Loistava kuvanlaatu", "date": "2023-10-12", "verified_buyer": true, "helpful_votes": 14
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Gigantti scraper handles the Elkjøp platform intricacies: dynamic pricing, regional stock levels, detailed technical specifications, and Klubi campaign data.
Title, brand, description, and every metadata field Gigantti surfaces scraped at SKU level with EAN/GTIN mapping.
Capture current price, original price, discount percentages, and outlet deals timestamped per crawl.
Extract inventory status across all physical store locations in Finland, including click-and-collect availability.
Identify member-only Klubi prices and specific campaign tags attached to products.
Extract deeply nested technical specifications including dimensions, power consumption, and processor details.
Capture EU energy efficiency classes and related compliance documentation links.
Full review text, star ratings, helpful vote counts, and verified buyer flags paginated across all review pages.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Track returned and refurbished items in the Gigantti Outlet with condition grading and reduced pricing.
Brief in. Clean data out.
Provide SKU lists, category URLs, or brand names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for gigantti.fi.
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 on agreed cadence.
Gigantti's SPA architecture and bot protection require more than simple HTTP GET requests. Here is how we maintain data integrity.
Gigantti blocks aggressive datacentre IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management trained on real user behaviour patterns.
The Elkjøp platform relies heavily on client-side rendering. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering to capture dynamic pricing and stock data.
Extracting store-specific stock requires setting correct location cookies and intercepting specific API calls. We manage this state automatically across all Finnish store locations.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops and respond before you notice.
Retailers monitor Gigantti pricing and campaign windows to adjust their own pricing algorithms.
Merchandising teams analyse Gigantti catalogue additions to identify trending electronics and gaps in their own offerings.
Suppliers track stock levels across physical stores to optimise their own distribution and supply chain.
Consumer electronics brands audit pricing to ensure compliance with Minimum Advertised Price agreements.
Analysts track discount depths and promotional frequency during key periods like Black Friday.
Rival retailers compare their technical specification completeness and review volumes against Gigantti listings.
"Gigantti holds the definitive electronics catalogue for the Finnish market, but extracting accurate store-level stock and Klubi pricing requires full browser emulation."
Most teams underestimate the investment required: reliable Gigantti scraping requires residential proxies, full JavaScript rendering for the Elkjøp platform, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our gigantti.fi 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 and SPA navigation for the Elkjøp platform.
We maintain pools of residential ISP proxies across European regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About gigantti.fi scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from gigantti.fi is generally permissible for public data. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use full Playwright browser sessions to render the SPA architecture properly, ensuring all dynamic pricing API calls and stock hydration events complete before extraction.
Yes. We can iterate through store IDs and intercept the relevant stock APIs to provide a complete matrix of inventory across all Finnish retail locations.
Pipelines can be configured to run daily or multiple times per day to capture flash sales and weekend Klubi campaigns promptly.
Yes. We extract standard product identifiers from the technical specifications or page metadata to allow easy matching against your existing product database.
Our smallest packages start at a defined SKU list or specific categories with weekly delivery. Contact us with your use case for a scoped quote.
Absolutely. 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 continuous price-monitoring across the entire electronics range, we scope, build, and operate the pipeline. Tell us what you need.
