Platform · Currys

Currys Data Scraping

Currys' price promise tells you which of its prices it treats as different kinds. We take it at its word.

Currys data scraping covers product, price and availability data from the UK and Ireland's largest specialist electricals retailer. Currys' own price promise excludes paid membership prices, loyalty prices and third-party marketplace sellers from what it will match. That is the retailer saying these are different kinds of price, so price_kind is recorded on every row and they never share a series. Currys plc also owns the Nordic Elkjøp group, which is a separate collection.

Most price data goes wrong by averaging things that were never the same kind of number. Here the retailer has already listed them.

Get a free sample See sample data

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

currys_sample.jsonl LIVE FEED

{"market":"GB","model_number":"as published","price":499.00,"price_kind":"standard"} {"market":"GB","model_number":"as published","price":469.00,"price_kind":"member","gated_share":0.18} {"attach_item":"care_plan_3yr","attach_price":79.00,"in_product_price":false}

illustrative sample rows · GB / IEone price kind per series · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Currys or its owners. Currys 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

Currys at a glance

How we handle Currys specifically

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

Retailer: Currys — UK and Ireland
Group: Currys plc, which also owns Elkjøp in the Nordics
Price kinds kept apart: Standard, member, loyalty, marketplace
Why: Currys' price promise treats them as different
Attach products: Care plans, installation and recycling as separate lines
Price promise: Recorded as terms. Never applied by us
Ireland: Its own site, currency and VAT
Refresh: Daily; hourly around sale events

Platform specifics

The retailer has already told you what differs

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

Four price kinds, one product page

Currys' price promise matches another UK retailer's price for an identical in-stock item. Its terms exclude paid membership prices, loyalty prices and third-party marketplace sellers. So even Currys does not treat those as the same thing as a shelf price.

Standard price — what anyone pays.
Member price — open only to a paid membership. Reported with gated_share, never substituted.
Loyalty price — open only to scheme members.
Marketplace offer — another seller's, recorded with seller_name, wherever one is displayed.

price_kind on every row. A series is always one kind. We record the price promise's terms as text and dates; we never decide whether a particular price would qualify.

Attach, Ireland and the Nordic sibling

What gets sold with the product

Care and repair plans, installation, set-up and recycling are priced as separate lines. They are recorded as attach_items beside the product, and never folded into its price.

Ireland

currys.ie is its own site, in euro, with its own VAT and range. market on every row; never converted.

Elkjøp and Elgiganten

Currys plc owns the Nordic group trading as Elkjøp, Elgiganten and Gigantti. Same owner, different markets, different sites — see our Elgiganten page.

What we do not do

Decide whether a price qualifies for the price promise, merge member and standard prices, or collect account data.

Scope

What we collect on Currys, 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

price_kind on every row: standard, member, loyalty, marketplace
gated_share reported for member and loyalty prices
seller_name wherever a non-Currys seller is displayed
attach_items recorded beside the product, never in its price
Price promise terms recorded as text with dates
currys.co.uk and currys.ie as separate markets
Model numbers kept exactly as published
Stock and delivery or collection options as displayed
Hourly collection around major sale events

❌ What we do not, and why

Member or loyalty prices mixed into the standard series
Judging whether a price qualifies for the price promise
Care plans folded into the product price
Sterling and euro converted into one currency
Account or customer data

Core Currys fields

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

Field	What it is on this platform
product_id / model_number / brand	As published
market	GB or IE
price / currency	As displayed
price_kind	standard, member, loyalty or marketplace
gated_share	Share of range with a gated price
seller_name	Where not Currys
was_price / was_price_basis_text	As displayed, with its stated basis
attach_items	Care, installation, recycling, priced separately
stock_status / fulfilment_options	As displayed
price_promise_terms_version	Text and date of the terms observed
observed_at	Timestamp

Use cases

What teams do with Currys data

Clean UK electricals price series

One price kind per series, so member and loyalty offers do not drag the average.

Membership pricing strategy

How much of the range carries a member price and how deep it goes, as a measured share.

Attach-rate pricing

Care-plan and installation prices by product and price band, kept beside the product.

UK versus Ireland

Two markets from one retailer, in their own currencies.

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

Send us a Currys 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

REST endpoints on the same pipeline, with sandbox keys for testing.

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 fixed-scope extraction for a single project or research question.

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

Pricing is quoted individually, based on category scope, number of markets, cadence and ongoing identity maintenance. After a scoping call and free pilot, we quote a fixed monthly figure, with no per-request metering.

Book a 20-min scoping call Request a quote Talk to an engineer

Currys is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Currys 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 Currys-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

Currys data scraping: frequently asked questions

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

Because Currys' own price promise treats member prices, loyalty prices and marketplace sellers as different from a standard price. Mixing them would produce a series nobody actually paid.

No. We record the terms and dates as published. Whether a particular price qualifies is Currys' decision under its terms.

No. They are separate lines and recorded beside the product, so the product price stays the product price.

Same owner, different markets and sites. It is scoped separately.

Yes, as its own market in euro. Nothing is converted.

It depends on categories, markets and frequency. Most clients start with a category pilot.

Talk to us about scope.

See real Currys 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.

Get a free sample Talk to an engineer

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

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!"

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."

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."

Febbin Chacko

-Fin, Small Business Owner