Platform · Manufacturer store locators

Manufacturer Store Locator Data

A brand's "where to buy" page is a list of who the brand says sells its products. That is valuable, and it is a statement.

Manufacturer store locator data covers the store, dealer and "where to buy" locators electronics brands publish. Many label tiers — brand stores, authorised retailers, authorised online sellers, specialist dealers. That label is the brand's statement, recorded with the date it was seen. A locator says who is listed, not what is in stock, and every entry is a business; no personal data is collected.

Distribution mapping starts here. The discipline is to record what the brand said, when, and nothing it did not say.

Get a free sample See sample data

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

locators_sample.jsonl LIVE FEED

{"tier_label":"Authorized Retail Store","label_source":"brand","first_seen":"2026-09-01"} {"business_name":"as published","absent_since":"2026-09-15","called_unauthorised":false} {"stock_inferred":false,"personal_data":false}

illustrative sample rows · per brand, per countrywhat a brand says about who sells it · schema v1.0

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

Manufacturer store locators at a glance

How we handle Manufacturer store locators specifically

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

Scope: Brands' store and dealer locators
Tier labels: Brand store, authorised retail, authorised online, specialist
"Authorised": The brand's statement, dated
A locator is: A list of who is listed, not stock
Entries: Businesses only; no personal data
Change: Entries added and removed, as events
Markets: Each country's locator separately
Refresh: Weekly, or monthly for stable networks

Platform specifics

What a brand says about who sells it

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

Tiers are the brand's labels

Some locators are explicit. Sony India, for example, separates its brand stores, authorised retail stores, authorised online stores and specialist dealers, and warns that products bought from unauthorised sellers may not get warranty cover.

tier_label recorded exactly as the brand publishes it, with label_source: brand.
first_seen and last_seen on every entry, so additions and removals are events.
Absence from a locator is recorded as absence on that date — not as "unauthorised".
Third-party dealer directories are not a brand's statement, and are never used as one.

Not stock, only businesses, and what we do not do

A locator is not a stock feed

A listed store may not carry every product, and some locators filter by category or show pickup flags. Those filters and flags are recorded as displayed; stock is never inferred from a listing.

Businesses only

Store names, addresses, phone numbers and opening hours as the brand publishes them for businesses. No names of individuals, even where a locator shows a contact person.

Against what retailers sell

Locator entries beside retailer listings and the brand's own store show where the brand's statement and the market differ, with each labelled.

What we do not do

Call a seller unauthorised because it is not listed, infer stock from a listing, use third-party directories as the brand's word, or collect personal data.

Scope

What we collect on Manufacturer store locators, 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

tier_label exactly as published, with label_source: brand
first_seen and last_seen on every entry
Additions and removals as events
Category filters and pickup flags as displayed
Business name, address, hours as published
Each country's locator scoped separately
Geocodes derived and labelled, if requested
Online authorised sellers recorded as listed
Weekly or monthly refresh by network stability

❌ What we do not, and why

A seller called unauthorised because it is not listed
Stock inferred from a locator listing
Third-party directories used as the brand's statement
Names of individuals or contact persons
Account or customer data

Core Manufacturer store locators 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	Whose locator, which country
entry_id / business_name	As published
tier_label / label_source	As published; brand
address / city / postcode	As published
phone_business / opening_hours	As published, businesses only
category_filters	As displayed
pickup_flag	As displayed
online_seller_url	For authorised online sellers
first_seen / last_seen	When listed
geocode_derived	Only if requested, labelled
observed_at	Timestamp

Use cases

What teams do with Manufacturer store locators data

Distribution mapping

Who each brand lists, by tier, country and city.

Network change tracking

Dealers added and removed, dated.

Channel checks

Retailer listings beside the brand's own list, each labelled.

Retail footprint analysis

Where brand stores and authorised dealers cluster.

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

Send us a Manufacturer store locators 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.

Manufacturer store locators is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Manufacturer store locators 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 Manufacturer store locators-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

Manufacturer store locators data scraping: frequently asked questions

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

No. It is the brand's statement, recorded with the date it was seen.

We do not say so. Absence is recorded as absence on that date, nothing more.

No. It lists who the brand names. Filters and pickup flags are recorded as displayed, and stock is never inferred.

No. Businesses only.

Not as the brand's statement. Only the brand's own locator is.

It depends on brands, countries and refresh frequency. Locators are usually weekly or monthly.

Talk to us.

See real Manufacturer store locators 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