Platform · Wine.com

Wine.com Data Scraping

The listed price is one number. What you pay depends on your state and your subscription.

Wine.com is a large US online wine retailer whose catalogue is state gated for shipping: the same bottle shows as shippable in one state and not in another, because direct-to-consumer rules differ by state and by category. A shipping subscription changes the effective price without changing the listed price, so both are stored. Vintage is part of the SKU key, since a 2019 and a 2021 of the same label are different products. 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.

Averaging vintages produces a price that describes no bottle anyone can buy.

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wine_com_sample.jsonl LIVE FEED

{"price_listed":24.99,"price_effective":22.49,"subscription_flag":true} {"vintage":2021,"appellation":"as listed","ships_to_state":"as published"} {"critic_score":92,"scoring_body":"as displayed","review_count":148}

illustrative sample rows · USlisted and effective · schema v1.0

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

How we handle Wine.com specifically

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

Model: Online retailer, ships direct
Gating: By state, per category
Subscription: Changes effective price
Vintage: In the SKU key
Critic scores: Only as the listing displays them
Reviews: Counts and ratings, no identities
Formats: Distinct SKUs
Refresh: Daily on price, weekly on attributes

Platform specifics

Listed price and effective price

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

Shipping and price fields

A site-wide subscription is a pricing mechanism, not a discount on a bottle, and the two have to be separable in the data.

ships_to_state exactly as the page states it.
price_listed and price_effective kept apart.
subscription_flag where a membership price is shown publicly.
vintage and appellation from the listing.

Critic scores, and what we do not do

Critic scores

Scores and awards are taken only where the retailer displays them on the listing, with the scoring body named; proprietary critic databases are not ours to hold. See our Vivino 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

Republish a critic database, infer shipping eligibility, use an account, place an order, or take reviewer identities.

Scope

What we collect on Wine.com, 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

Shipping eligibility as published
Listed and effective price separated
Vintage in the SKU key
Appellation and varietal as labelled
Critic scores attributed to their source
Review counts without identities
Per-litre beside observed price
Delisting detection
Daily price refresh

❌ What we do not, and why

Critic databases republished
Inferred shipping eligibility
Accounts or orders
Reviewer identities
Vintages merged

Core Wine.com 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
vintage / appellation	As listed
varietal / origin_region	As labelled
price_listed / price_effective	Kept apart
subscription_flag	Where shown
ships_to_state	As published
price_per_litre	Derived
critic_score / scoring_body	Where displayed
review_count / rating	Aggregate only
listed / delisted_at	Presence
source / captured_at	Per record

Use cases

What teams do with Wine.com data

Vintage pricing

How a label prices across vintages.

Shipping coverage

Which states can receive what.

Assortment tracking

New listings and delistings.

Score visibility

Which wines carry displayed scores.

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

Send us a Wine.com 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.

Wine.com is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Wine.com 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 Wine.com-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

Wine.com data scraping: frequently asked questions

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

No. We record what the listing states for each state.

Where it is shown publicly, as a separate field.

Never. Vintage is part of the SKU key.

No. Only scores the retailer displays, with the body named.

No. Counts and ratings only.

It depends on catalogue size and states.

Talk to us.

See real Wine.com 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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