Platform · Brand D2C stores

Brand D2C Electronics Data

On a brand's own store, the product is often not a product until you choose the memory, the storage and the colour.

Brand D2C electronics data covers electronics manufacturers' own online stores. They set the reference price retailers are measured against. Three things make them different from retailers: many products are configured, so a price belongs to a configuration; education, employee and business prices are gated; and trade-in estimates depend on the device. So configuration, price kind and trade-in terms travel with every record.

Every retailer comparison needs the brand's price. The brand's price needs its configuration.

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Free pilot on your own Brand D2C stores list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

brand_d2c_sample.jsonl LIVE FEED

{"config_id":"base","config_options":"16GB / 512GB","price":1299.00} {"config_id":"cfg-2","config_options":"32GB / 1TB","price":1799.00,"averaged":false} {"price_kind":"education","visible_without_account":false,"status":"measured_gap"}

illustrative sample rows · per brand, per marketa price for a configuration · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Brand D2C stores or its owners. Brand D2C stores 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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Brand D2C stores at a glance

How we handle Brand D2C stores specifically

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

Scope: Electronics brands' own stores
Role: The reference price for retailer comparisons
Configured products: Price belongs to the configuration
Gated prices: Education, employee, business — reported, not substituted
Trade-in: Estimates are terms, not price
Markets: Priced per country
Discovery: Brand list first; site verified as the brand's
Refresh: Daily; at launches and price changes

Platform specifics

A price for a configuration

These are the reasons a Brand D2C stores dataset needs its own handling rather than a shared retail schema.

Configured products

Laptops, phones and tablets on a brand's own store are often sold as a base model plus choices. The price of "the laptop" is the price of one path through those choices.

config_id and config_options recorded with every configured price.
Base configurations are collected by default; others by an agreed list.
A retailer's fixed SKU is matched to the brand configuration with the same options, and match_basis is recorded.
Configurations are never averaged into one product price.

Retailer prices against the brand's are how minimum advertised price monitoring starts.

Gated prices, trade-in and what we do not do

Gated prices

Education, employee and business stores need eligibility. Where their prices are visible without an account, they are recorded as price_kind with gated_share; where they are not, they are a measured gap. No accounts are used.

Trade-in

Trade-in credit depends on the device handed in. Estimates are recorded as terms with the stated device and condition, never subtracted from a price.

Which site is the brand's

Distributors and look-alike sites exist. site_verified and verification_basis travel with every record, as on our fashion brand page.

What we do not do

Average configurations, use accounts to reach gated prices, or subtract trade-in estimates.

Scope

What we collect on Brand D2C stores, 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

config_id and config_options on configured prices
Base configurations by default; others by agreed list
match_basis when matching retailer SKUs to configurations
price_kind for education, employee, business prices
gated_share and measured gaps, no accounts
Trade-in estimates as terms
site_verified and verification_basis
Priced per country, never converted
Collection at launches and price changes

❌ What we do not, and why

Configurations averaged into one price
Accounts used to reach gated prices
Trade-in estimates subtracted from prices
Unverified sites treated as the brand's
Account or customer data

Core Brand D2C stores fields

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

Field	What it is on this platform
brand / market	Which brand, which country
product_id / model_number	As published
config_id / config_options	The configuration
price / currency	As displayed
price_kind	standard, education, employee, business
gated_share	Share of range with a gated price
trade_in_terms	Device, condition, stated estimate
match_basis	When matched to a retailer SKU
site_verified / verification_basis	Is this the brand's site
launch_event / event_date	Launches and price changes
observed_at	Timestamp

Use cases

What teams do with Brand D2C stores data

Reference prices for retailer comparisons

The brand's own price, per configuration and country.

Advertised-price monitoring

Retailer prices against the brand's, matched on configuration.

Launch tracking

New models and configurations, with dates and prices.

Cross-country brand pricing

One configuration across markets, in local currency.

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

Send us a Brand D2C stores 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.

Brand D2C stores is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Brand D2C stores 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 Brand D2C stores-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

Brand D2C stores data scraping: frequently asked questions

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

Because a configured product has no single price. Each configuration has its own.

On the options, with the match basis recorded. A retailer's fixed SKU usually matches one configuration.

Where visible without an account, as their own price kind. Otherwise they are a measured gap. No accounts are used.

No. It depends on the device. It is recorded as terms.

The list you give us, with each site verified as the brand's.

It depends on brands, markets and how many configurations.

Talk to us.

See real Brand D2C stores 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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