Platform · Currys

Currys Data Scraping Services

Where a price-match promise makes the shelf price conditional, and the competitor set it names is part of the data.

Currys data scraping is the automated collection of publicly visible Currys data with price-promise terms and the retailers it names captured alongside price, was-pricing recorded as displayed, and store-level click-and-collect availability kept separate from delivery.

A retailer running a price-match promise is not simply setting a price. It is committing to a rule about competitors' prices, and that rule is as much a part of the competitive picture as the number on the page.

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currys_offer.jsonl LIVE FEED

{"product_code":"2617* redacted","model_number":"QE55* redacted", "price":849.00,"was_price":999.00, "was_price_basis":"previous selling price, as displayed", "observed_price_min":829.00,"observed_price_max":999.00, "price_promise_retailers":["Retailer A","Retailer B","Retailer C"], "price_promise_terms":"as displayed, dated", "store_id":"SW1* redacted", "collect_available":true,"collect_window":"today from 4pm", "delivery_available":true,"delivery_window":"3-5 days", "care_plan_options":[{"term":"3yr","price":89.00}]}

2 of 640,300 product-store rowspromise terms captured as dated record · schema v2.0

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.

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Currys at a glance

How we handle Currys specifically

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

Platform: Currys UK, online with store-level availability
Price promise: Terms and named competitor set captured as data
Reference pricing: Was-price and its stated basis, as displayed
Fulfilment: Click-and-collect availability separate from delivery
Store dimension: Per-store collect availability across a store panel
Care plans: Captured as attached services, never folded into price
Refresh: Daily standard; sub-daily on Black Friday and launch weeks
Region: United Kingdom

Platform specifics

What makes Currys data different from general electronics retail

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

A price promise makes the shelf price conditional

Currys operates a price-match promise naming specific competing retailers and conditions. That changes what the listed price means.

The listed price is a ceiling for any shopper willing to present a qualifying competitor price, not a fixed number.
The named competitor set is strategic information. Who is in and who is out tells you which retailers Currys considers itself to be competing against, and it changes over time.
The conditions do the work. Stock requirements, timing windows and exclusions determine how much of the promise is real.

We capture the promise terms as displayed, including the named retailers and the stated conditions, as a dated record. Tracked over time this becomes a genuinely unusual dataset: a series showing how a major retailer's declared competitive set shifts, which no price field can express.

Was-pricing in the UK carries a stated basis

UK pricing-practice conventions mean reference prices on a listing generally come with a basis — a previous selling price, a period, or a comparison of a stated kind. That makes a Currys was-price more meaningful than a bare struck-through figure on a cross-border marketplace.

More meaningful is not the same as verified. We capture was_price and was_price_basis exactly as displayed, and we also maintain our own observed price history so that a discount series can be computed either way.

Where a client needs a defensible depth figure we recommend the observed basis and supply the displayed one alongside, so the two can be compared rather than one silently standing in for the other.

Click-and-collect is a different availability question

For electronics bought to replace something that has broken, same-day collection frequently beats next-day delivery regardless of price. That makes collect availability a competitive field rather than a logistics detail.

We capture collect_available and the stated collect window per store across a store panel, kept separate from delivery_available and its window. An item deliverable in three days but collectable today is a different proposition from one that is only deliverable, and a single in-stock flag makes them identical.

Care plans are attached services, not price components

Currys sells care plans and protection alongside products, and they appear prominently on listings.

They are captured as attached services with their own prices, never folded into the product price. A dataset that blends them produces a product price that no shopper pays and that cannot be compared with a retailer who does not attach services in the same way.

Where a client wants a total-basket view we can build one, with the assumption stated, rather than making it the default.

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

Listed price and was-price with the displayed basis for the was-price
Our own observed price history, so discount depth can be computed either way
Price-promise terms and the named competitor set, as a dated record
Stated conditions and exclusions attached to the promise
collect_available and collect window per store, across a store panel
delivery_available and delivery window, kept separate from collect
Care plans and protection captured as attached services with their own prices
Bundle contents described as displayed, kept out of the product price
Currys product code, brand model number and EAN retained together
Rating, review count and review velocity
Search rank on a fixed query set with sponsored placements flagged

❌ What we do not, and why

Customer identities or any personal data
Anything behind a login, including account or trade pricing
Whether a specific price match would actually be honoured
Care plan terms interpreted or summarised; we record what is displayed
Currys internal cost, margin or vendor terms
Full review text at scale; structured attributes and counts instead

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_code / model_number / ean	The three identifiers, retained together
price / was_price / was_price_basis	Current price, reference price and its stated basis
observed_price_min / max	From our own history, the alternative discount basis
price_promise_terms	The promise as displayed, captured as a dated record
price_promise_retailers	The competitor set the promise names
store_id	Which store the collect record resolves to
collect_available / collect_window	Click-and-collect state and stated timing
delivery_available / delivery_window	Delivery state and timing, kept separate
care_plan_options	Attached services with their own prices
bundle_contents	What is included, as displayed
captured_at	Timestamp at minute precision

Use cases

What teams do with Currys data

Competitive set intelligence

The retailers named in the price promise, tracked over time, show who Currys treats as its competitive set and when that changes. No price field expresses this.

Defensible discount reporting

Displayed was-price and observed price history held side by side let a depth figure be computed on either basis, and stated as such.

Collect-versus-deliver positioning

Store-level collect availability alongside delivery shows where a competitor wins on immediacy rather than on price, which matters most in replacement purchases.

Attached-service benchmarking

Care plans captured with their own prices reveal attach strategy without contaminating the product price series.

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 inside two business days
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.

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.

Yes, as a dated record including the named competitor set and the stated conditions. Tracked over time this becomes an unusual and useful series, because it shows who Currys declares itself to be competing against and when that set changes.

We record the terms as displayed. Whether a specific match would be honoured in practice is not something public data can establish, and we do not imply it.

They generally carry a stated basis, which makes them more meaningful than a bare struck-through figure. More meaningful is not the same as independently verified.

We capture the displayed was-price and its basis, and separately maintain our own observed price history. For a figure that has to survive scrutiny we recommend the observed basis, with the displayed one supplied alongside for comparison.

Yes, per store across a store panel, with the stated collect window, kept separate from delivery availability.

For a replacement purchase, collectable today frequently beats cheaper by next week. A single in-stock flag makes those two situations look identical.

No. They are captured as attached services with their own prices. Folding them in produces a product price no shopper pays and that cannot be compared against a retailer with a different attach model.

Sub-daily on windows agreed in advance. UK electronics pricing concentrates heavily into that period, and a uniform daily crawl under-samples exactly the days that matter.

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.

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