Core services
Enterprise Data Extraction

Scalable web, app and AI-powered collection across 40+ countries.

All 58 services →
New 2026
AI Training Data

Corpus building with provenance and opt-out compliance.

Learn more →
Free pilot
24-hour sample

We run collection on your own sources before you commit.

Get a sample →
58Services
40+Countries
DEVELOPER

Ready-Made Scrapers

Pre-built for top platforms. Self-serve, no setup.

View All →
TRY FREE

API Playground

Test endpoints instantly. No credit card.

Start Free →
28Tools
2SDKs
icons Delivery & SDKs
Streaming Crawl API Scheduler Realtime Alerts Webhook Delivery 🐍 Python SDK 💚 Node.js SDK
Need it managed instead?

Fixed monthly retainer, named engineer, no per-request metering.

Managed Data API →
HOT

Case Studies

How brands use Actowiz, with named outcomes.

Read →
FREE

Sample Datasets

Real output, no signup.

Download →
NEW

ROI Calculator

Model the return on a data engagement.

Calculate →
Platform · Elgiganten

Elgiganten Data Scraping

Ask for Elgiganten and you get two countries. The group behind it trades under three names in four.

Elgiganten data scraping covers product and price data from the Nordic electronics group owned by Currys plc. The group trades as Elkjøp in Norway, Elgiganten in Sweden and Denmark, and Gigantti in Finland. So the collection is scoped by market, with the local brand recorded, and each market keeps its own currency — NOK, SEK, DKK or EUR — never converted.

Same principle as a food delivery group that trades under a different name in each country: a brand is not a market.

Free pilot on your own Elgiganten list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

elkjop_nordic_sample.jsonl LIVE FEED
{"market":"NO","market_brand":"Elkjøp","price":9990,"currency":"NOK"} {"market":"SE","market_brand":"Elgiganten","price":9490,"currency":"SEK"} {"market":"FI","market_brand":"Gigantti","price":849.00,"currency":"EUR","converted":false}
illustrative sample rows · NO / SE / DK / FIa brand is not a market · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Elgiganten or its owners. Elgiganten and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers
B2C Marketplace
amazon
D2C + Marketplace
NYKAA
D2C + Marketplace
Walmart
FMCG Marketplace
udaan
Food Delivery
Uber Eats
Quick Commerce
blinkit
Taxi Aggregator
Uber
E-Commerce
Tmall
Elgiganten at a glance

How we handle Elgiganten specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Group
Elkjøp Nordic — owned by Currys plc
Norway
Elkjøp — NOK
Sweden
Elgiganten — SEK
Denmark
Elgiganten — DKK
Finland
Gigantti — EUR
So
Scoped by market, brand recorded
Currencies
Never converted
Recent
Elkjøp cleared to acquire Eplehuset (Norway), July 2026
Platform specifics

A brand is not a market

These are the reasons a Elgiganten dataset needs its own handling rather than a shared retail schema.

Four markets, three names

Asking for "Elgiganten" gets Sweden and Denmark. Asking for "the group" gets four markets under three names. We scope by market, and record the brand each market trades under.

  • market and market_brand on every row.
  • Currency stays local. A Norwegian and a Swedish price are not compared by converting either.
  • VAT and ranges differ by market, and are observed rather than assumed.
  • Iceland and other smaller markets are scoped on request.

A cross-market comparison, when asked for, is a separate derived view that states the exchange rate and date it used — never a replacement for the local prices.

Sellers, acquisitions and what we do not do

Seller on every row

The group runs a marketplace programme in at least some markets. seller_name is recorded wherever a non-group seller is displayed.

Eplehuset

Norway's competition authority cleared Elkjøp to acquire the Apple reseller Eplehuset in July 2026. If Eplehuset is also collected, overlap is measured rather than assumed.

Currys

Same owner as Currys in the UK. Different markets, sites and ranges.

What we do not do

Treat a brand as a market, convert currencies in place, or merge group companies into one retailer.

Scope

What we collect on Elgiganten, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

  • market and market_brand on every row
  • Local currency kept: NOK, SEK, DKK, EUR
  • Each market's range and VAT observed
  • seller_name wherever a non-group seller is shown
  • Cross-market views derived separately, rate and date stated
  • Overlap measured if Eplehuset is also collected
  • Model numbers exactly as published
  • Member prices as their own kind where shown
  • Local-language names kept as published

❌ What we do not, and why

  • A brand treated as a market
  • Currencies converted in place
  • Group companies merged into one retailer
  • Member prices substituted for standard prices
  • Account or customer data

Core Elgiganten fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

FieldWhat it is on this platform
market / market_brandNO Elkjøp, SE/DK Elgiganten, FI Gigantti
product_id / model_number / brandAs published
name_localAs published
price / currencyLocal
price_kindstandard or member
seller_nameWhere not the group
was_price / was_price_basis_textAs displayed
stock_status / fulfilment_optionsAs displayed
fx_rate / fx_observed_atOnly in derived cross-market views
category_pathFor scoping
observed_atTimestamp
Use cases

What teams do with Elgiganten data

Nordic price monitoring

One group across four markets, each in its own currency.

Cross-market pricing

Derived comparisons that state their exchange rate, beside the local prices.

Competitive benchmarking against Power

The two Nordic chains, market by market.

Group-wide view with Currys

UK and Nordic ranges side by side, each in its own market.

The 24-hour sample — run on your sources, not ours

Send us a Elgiganten item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

  • Real extraction from your actual sources
  • Returned within 24 hours
  • Coverage and QA note included
  • You keep the data either way
  • No card, no trial clock
  • Named engineer on the call
Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.
How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

  • Dedicated engineer assigned to your account
  • Site changes fixed by us, not reported to you
  • Scheduled delivery to your warehouse or S3
  • Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

  • On-demand and scheduled endpoints
  • Rate limits agreed to your load profile
  • Sandbox keys for integration testing
  • Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

  • Fixed scope agreed in writing upfront
  • Single delivery with full QA report
  • Methodology documented for your records
  • Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Elgiganten is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Elgiganten data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what consumer electronics data covers, and a Elgiganten-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Elgiganten data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Same group. Elkjøp in Norway, Elgiganten in Sweden and Denmark, Gigantti in Finland.

Not in place. A cross-market view can be derived separately, stating the rate and date used.

Currys plc, which also trades as Currys in the UK and Ireland.

The group runs a marketplace programme in at least some markets. Every row carries its seller where one is shown.

Elkjøp was cleared to acquire it in July 2026. If both are collected, overlap is measured.

It depends on markets and categories. One market as a pilot is the usual start.

Talk to us.

See real Elgiganten data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶
1 min
★★★★★
"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"
TG
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
▶
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
II
Iulen Ibanez
CEO / Datacy.es
▶
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

→
LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
→
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
→
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
→
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How Quick Commerce GCC Dashboard 2026 Helps Businesses Overcome Pricing, Competitor, and Demand Visibility Gaps

Quick Commerce GCC Dashboard 2026 delivers market, pricing, competitor, assortment, and demand insights for smarter quick-commerce decisions across GCC markets.

thumb
Case Study

How We Helped a Brand Optimize Availability Tracking Using Zepto/Instamart pincode stock — India

Track product availability across Indian pincodes with Zepto/Instamart pincode stock — India for better inventory, assortment, and regional insights.

thumb
Report

The 2026 AI Training Data Market Report: Demand, Pricing & Sourcing Trends

Actowiz Solutions' 2026 AI training data market report — demand drivers, pricing models, sourcing trends, compliance economics & what data buyers should know.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.
Get in Touch
Let's Talk About
Your Data Needs
Tell us what data you need — we'll scope it for free and share a sample within hours.
  • icons
    Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
  • icons
    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
  • icons
    US-Based SupportOffices in New York & California. Aligned with your timezone.
  • icons
    ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.
Request Free Sample Data
Fill the form below — our team will reach out within 2 hours.
+1 ▼
✓ Free 500-row sample · No credit card · Response within 2 hours

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1 ▼
✓ Free 500-row sample · No credit card · Response within 2 hours