Platform · BWS

BWS Data Scraping

Same group, different job. A convenience range is not a smaller version of a big-box range.

BWS is the convenience-format chain in the same group as its big-box sibling, with a narrower range, heavier weighting to chilled beer, wine and ready-to-drink lines, and price and stock resolved per store. Because the two banners serve different missions, their prices are collected as separate banners and never averaged into a single group figure, even where both carry the same SKU. Jurisdiction, channel and the price surface sit on every record, the SKU key carries vintage or age statement, format and ABV, and no age gate is passed by misrepresenting who is asking.

Merging the two banners hides the one comparison that is actually interesting.

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

bws_sample.jsonl LIVE FEED

{"banner":"convenience","store_id":"as published","price":22.99,"state":"VIC"} {"pack_size":"as published","units_per_pack":10,"price_per_litre":6.90} {"chilled_flag":true,"promo_price":19.99}

illustrative sample rows · AUbanner stays on · schema v1.0

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

BWS at a glance

How we handle BWS specifically

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

Format: Convenience
Range: Narrower, with a chilled weighting
Price and stock: Per store
Banners: Never averaged together
Group: Shared with a big-box banner
Pack sizes: Multi-packs as distinct SKUs
States: Availability differs under local rules
Refresh: Daily on price and stock

Platform specifics

Banner separation

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

Banner fields

Multi-packs dominate this format, so pack composition has to be explicit before any per-litre comparison means anything.

banner on every record.
pack_size and units_per_pack for multi-packs.
store_id and state on every price.
chilled_flag where the listing distinguishes it.

Group comparisons, and what we do not do

Group comparisons

A cross-banner comparison is run explicitly, with the banner kept on every row, rather than by blending the two into an average nobody can unpick. See our Dan Murphy's page.

Price surfaces

Per-litre normalisation is carried beside the observed price rather than replacing it, and the jurisdiction that produced the price stays on the record, as the wine, spirits and liquor hub describes.

What we do not do

Average across banners, use an account, place an order, collect customer information, or infer a pack composition the page does not state.

Scope

What we collect on BWS, 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

Banner on every record
Pack composition explicit
Store on every price
State recorded
Chilled lines flagged where shown
Banners compared, not merged
Per-litre beside observed price
Delisting detection per store
Daily refresh

❌ What we do not, and why

Banners averaged together
Inferred pack composition
Accounts or orders
Customer information
National price claims

Core BWS fields

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

Field	What it is on this platform
sku_key	Brand, expression, format, ABV, pack
banner	Retail banner
pack_size / units_per_pack	As published
price / price_per_litre	Observed and normalised
store_id / state	Context
in_stock	Where published
chilled_flag	Where shown
abv_pct / volume_ml	As labelled
promo_price	Where shown
listed / delisted_at	Presence per store
source / captured_at	Per record

Use cases

What teams do with BWS data

Format comparison

Convenience against big-box pricing.

Pack analysis

Multi-pack economics per litre.

Availability mapping

Chilled range by store.

Regional review

State differences in range.

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

Send us a BWS 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.

BWS is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. BWS 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 wine, spirits & liquor data covers, and a BWS-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

BWS data scraping: frequently asked questions

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

They serve different missions, so blending them hides the comparison.

Yes, with pack size and units per pack as explicit fields.

Where the listing distinguishes chilled lines.

No.

Daily on price and stock.

It depends on store count and range.

Talk to us.

See real BWS 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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