Platform · Unieuro

Unieuro Data Scraping

An Italian electronics promotion has a start date and an end date printed on it. Those two dates are data.

Unieuro data scraping covers product, price and promotion data from Italy's national electronics chain, taken private by Fnac Darty and Ruby Equity and delisted in January 2025. Unieuro, like most Italian retailers, runs promotions as dated flyers. So the stated window is recorded with every promotional price, and a price observed outside its window is labelled as such, not as a continuing promotion.

The flyer is the Italian retailer's promotion calendar, published in advance. It is the easiest calendar to get right, and the easiest to ignore.

Get a free sample See sample data

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

unieuro_sample.jsonl LIVE FEED

{"promotion_name":"as published","window_stated":"2026-09-10/2026-09-24","price":549.00} {"observed_at":"2026-09-26","price":549.00,"outside_window":true} {"reference_price_displayed":599.00,"our_observed_30d_low":579.00}

illustrative sample rows · ITthe flyer window is data · schema v1.0

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

Unieuro at a glance

How we handle Unieuro specifically

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

Retailer: Unieuro — Italy
Owners: Fnac Darty and Ruby Equity; delisted Jan 2025
Promotions: Dated flyers (volantino)
So: window_stated on every promo price
Outside the window: Labelled, not assumed to continue
Reference price: The retailer's 30-day low, as displayed
Names: Italian, as published
Refresh: Daily; at each flyer's start and end

Platform specifics

The promotion calendar is published

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

A flyer states its own window

An Italian electronics flyer names the dates it runs. Recording those dates turns a pile of prices into a calendar.

promotion_name and window_stated recorded with every promotional price.
Collection is scheduled at each flyer's start and end, not only daily.
A promotional price seen after its window is labelled outside_window — it may be an extension or a new price, and we do not guess which.
Flyer-only and online-only offers are recorded as the page states them.

The reference price

As on our MediaWorld page, the crossed-out price is the retailer's 30-day low under EU rules, recorded as displayed, with our own observed low kept separately.

Ownership, and what we do not do

Fnac Darty and Ruby

Fnac Darty and Ruby Equity reached 91.1% of Unieuro in November 2024, and it was delisted in January 2025. It remains its own retailer with its own range, and is collected as such — see our Fnac page for the group in France.

What we do not do

Assume a promotion continues past its stated end, invent a window where none is stated, or overwrite the retailer's reference price.

Scope

What we collect on Unieuro, 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

promotion_name and window_stated on every promotional price
Collection at each flyer's start and end
outside_window labelled, never assumed extended
Online-only and flyer-only offers as stated
Reference price as displayed; our observed low separate
Italian names kept, translation additive
Model numbers exactly as published
Store collection options as displayed
Daily collection between flyers

❌ What we do not, and why

A promotion assumed to continue past its stated end
A window invented where none is stated
The retailer's reference price overwritten
Italian names replaced by translations
Account or customer data

Core Unieuro 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 / name_it	As published
price / currency	As displayed
promotion_name	As published
window_stated	Start and end as printed
outside_window	true if seen after the end
offer_channel	online, store, flyer, as stated
reference_price_displayed	The retailer's 30-day low
our_observed_30d_low	derived_from_our_observations
stock_status / collection_options	As displayed
name_en	Additive translation
observed_at	Timestamp

Use cases

What teams do with Unieuro data

Promotion calendars

Unieuro's flyers as dated windows, category by category.

Promotion depth

Discounts against the retailer's stated reference, with our observed low beside it.

Italian competitive pricing

Unieuro beside MediaWorld, on one schedule.

Post-promotion behaviour

What happens to prices when a flyer ends, labelled rather than guessed.

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

Send us a Unieuro 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.

Unieuro is usually collected alongside its competitors

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

Unieuro data scraping: frequently asked questions

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

Because it is the retailer's published promotion calendar. With it, a price becomes part of a dated event.

We label it outside_window. It could be an extension or a new price, and we do not guess which.

Fnac Darty and Ruby Equity took it private; it was delisted from Milan in January 2025.

It is the retailer's stated 30-day low. We record it as displayed and keep our own observed low separately.

Yes, on one schedule. That is the usual Italian scope.

It depends on categories and how many flyer cycles. A category pilot is the usual start.

Talk to us.

See real Unieuro 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