Platform · BevMo

BevMo Data Scraping

One catalogue, two fulfilment models, and prices that do not have to agree.

BevMo was bought by Gopuff in December 2020 in a deal reported at around $350 million covering roughly 161 stores, and ownership is recorded as a dated fact rather than a standing claim. What matters for collection is that the catalogue appears under two fulfilment models — store pickup and local delivery priced by store, and rapid delivery from micro-fulfilment. The two are separate price surfaces and are stored that way. 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.

Ownership is a dated claim. Fulfilment is an observable field.

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bevmo_sample.jsonl LIVE FEED

{"channel":"off_trade","store_id":"as published","price":29.99} {"channel":"delivery","delivery_zone":"as resolved","price":33.49} {"fee_minimum":"as published","ownership_claim":"acquired 2020","claim_date":"2020-12-01"}

illustrative sample rows · UStwo surfaces, two prices · schema v1.0

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

How we handle BevMo specifically

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

Owner: Gopuff, from December 2020
Deal: Reported around $350m, about 161 stores
Paths: Store pickup and rapid delivery
Prices: Kept apart by surface
Footprint: Western US, as the store finder lists
Ownership: Recorded as a dated claim
Availability: By store and by delivery zone
Refresh: Daily on price and availability

Platform specifics

Two surfaces, two prices

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

Fulfilment paths

A delivery price and a shelf price for the same bottle are different observations, and averaging them produces a number that describes neither.

channel — off_trade or delivery — on every price.
store_id where the price came from a store.
delivery_zone where availability is zone-gated.
fee_minimum for delivery fees and order minimums where published.

Ownership facts, and what we do not do

Ownership facts

Corporate ownership, store counts and closures are recorded with the date and the source that stated them, never inferred from a site layout. See our Total Wine 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

Assert a current store count without a source, place an order, use an account, or merge the store price with the delivery price.

Scope

What we collect on BevMo, 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

Channel on every record
Store and delivery prices kept apart
Delivery fees and minimums where published
Zone-level availability
Ownership as a dated claim
Store counts sourced or omitted
Formats as distinct SKUs
Per-litre beside observed price
Daily refresh

❌ What we do not, and why

Merged store and delivery prices
Unsourced store counts
Accounts or orders
Inferred ownership
Delivery slot booking

Core BevMo 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, vintage, format, ABV
channel	off_trade, delivery
price / price_per_litre	Observed and normalised
store_id	Where store priced
delivery_zone	Where zone gated
fee_minimum	Delivery fee and minimum
state	Jurisdiction
abv_pct / volume_ml	As labelled
listed / delisted_at	Presence per surface
ownership_claim / claim_date	Sourced
source / captured_at	Per record

Use cases

What teams do with BevMo data

Channel pricing

Delivery premium against shelf price.

Availability mapping

Which zones carry which SKUs.

Promotion tracking

Offers by surface.

Competitive review

Against other western US chains.

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

Send us a BevMo 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.

BevMo is usually collected alongside its competitors

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

BevMo data scraping: frequently asked questions

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

Gopuff bought it in December 2020. We record that as a dated claim with its source.

No. Store and delivery prices are separate records.

No. Fees and minimums are read where published, nothing is reserved.

Only with a dated source. Otherwise the field stays empty.

Whatever the store finder lists at the time of collection.

It depends on stores, zones and refresh.

Talk to us.

See real BevMo 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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