Pull structured product, price, and inventory data from liquor stores, wine retailers, and spirits marketplaces — normalized by SKU, size, ABV, and region, and delivered ready for pricing and compliance workflows.
*Illustrative figures — scoped to your project during onboarding.
Average client rating 4.7 / 5 across Clutch, GoodFirms and Trustpilot
Send a product URL, a category page, or a store locator link and get back the price, size, proof, vintage, region, and stock status the page contains — parsed, validated, and mapped to one schema across every retailer you track.
Watch how retailers and distributors list and price your bottles across states and channels.
Reprice against nearby liquor stores and online sellers without checking pages by hand.
Monitor minimum-price and MAP compliance across the accounts you supply.
Model demand and category trends from public sell-through and assortment signals.
Full detail for one bottle — price, size, ABV, region, tasting notes, images — from a direct URL.
Feed in a category or search page and receive every listed product, paginated automatically.
Capture price and stock as they vary by store, delivery zip, or state-controlled pricing.
Distinguish vintages, cask strengths, and limited releases rather than collapsing them into one SKU.
Collect tasting notes, star ratings, and reviewer text for sentiment and product-quality signals.
Submit thousands of URLs at once, or refresh a portfolio on a recurring interval automatically.
Coverage varies slightly by retailer and by state alcohol-control rules. Anything outside this set — allocation status, age-verification gates, loyalty pricing — can be added as a custom field.
| Category | Fields |
|---|---|
| Product identity | Product name, brand, distillery/producer, category (whiskey, wine, tequila, RTD...), SKU/UPC, vintage or batch |
| Spec & format | Bottle size, ABV/proof, region & appellation, cask type, age statement, pack size |
| Pricing | List price, sale price, price per ml, currency, price-history snapshot, state minimum-price flag |
| Availability | Stock status, store-level availability, delivery/shipping eligibility by state, allocation flag |
| Descriptive content | Tasting notes, producer description, food-pairing notes, category, subcategory, breadcrumb path |
| Media | Bottle/label image URL, gallery images |
| Ratings & reviews | Average rating, review count, review text, reviewer alias, verified-purchase flag |
| Seller / store data | Retailer name, store location, delivery radius, shipping cost, license/permit region |
| Merchandising signals | Badge labels (limited release, staff pick), rank in category, cross-sell items |
Three records from three different retailer types — spirits, wine, and RTD. Values below are illustrative.
{
"product_id": "RDA-LQ-0011923",
"product_name": "Buffalo Trace Kentucky Straight Bourbon",
"brand": "Buffalo Trace",
"category": "Spirits > Whiskey > Bourbon",
"spec": { "size_ml": 750, "abv": 45.0 },
"price": { "currency": "USD", "list_price": 27.99 },
"availability": { "status": "In Stock", "states": 41 },
"ratings": { "average_rating": 4.7, "total_reviews": 2140 },
"retailer": { "name": "Total Wine & More" },
"scraped_at": "2026-09-17T06:42:11Z"
}
# Fetch a single product record
curl -X POST https://api.realdataapi.com/v1/liquor/product \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url": "https://www.totalwine.com/p/EXAMPLE"}'
import requests
resp = requests.post(
"https://api.realdataapi.com/v1/liquor/product",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={"url": "https://www.totalwine.com/p/EXAMPLE"}
)
data = resp.json()
print(data["price"]["list_price"])
const res = await fetch("https://api.realdataapi.com/v1/liquor/product", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
},
body: JSON.stringify({ url: "https://www.totalwine.com/p/EXAMPLE" })
});
const data = await res.json();
Endpoint and key format above are illustrative — your onboarding call includes real credentials.
A product URL, store link, or category page — via API call or bulk upload.
Rendering and rotating IPs handle age-gates and dynamic shelf pages.
Content is mapped to the field set for that retailer's layout and state rules.
Size, ABV, currency, and region are standardized across sources.
As JSON or CSV, or pushed to your webhook, warehouse, or database.
Feed competitor and state-minimum pricing into your repricing engine so shelf prices adjust within your rules.
Flag retailers pricing below policy or minimum-price law across the states you're licensed in.
Fill gaps in your own product data — tasting notes, images, ABV — from retailer and producer listings.
See which SKUs are sold out, newly listed, or allocated across accounts and states.
Mine tasting notes and reviews at scale to surface what drinkers praise or flag before your next release.
Understand pricing bands and assortment depth in a state or region before expanding distribution there.
Exact pricing depends on platforms, cities, and refresh frequency — these tiers describe how engagements are typically structured.
We maintain dedicated coverage across major regional retailers — Total Wine and Drizly in the US, Majestic Wine and The Whisky Exchange in the UK, and more. Visit our region-specific pages for the full retailer list in your target market.
| Format | Best for |
|---|---|
| REST API (JSON) | Live, on-demand lookups embedded in your application |
| CSV / Excel export | Analysts and teams working in spreadsheets |
| Webhook push | Event-driven pipelines reacting to price or stock changes |
| Cloud storage drop (S3, GCS, Azure Blob) | Scheduled bulk feeds into a data warehouse |
| Direct database load | Data landing straight into PostgreSQL, MySQL, or Snowflake |
Schema validation runs on every record before delivery.
Extraction logic updates automatically when a retailer redesigns its pages.
Size, ABV, and currency are standardized for consistent cross-retailer comparison.
From a few hundred lookups a day to portfolios in the millions of SKUs.
Limited to publicly accessible pages, respecting robots.txt guidance and each client's instructions.
HTTPS/TLS delivery and access-key authentication per project, with optional data-retention limits.
Uptime targets, response times, and escalation paths are defined per contract and scale with plan tier — Growth and Enterprise engagements include priority support and a named point of contact. All plans include monitoring for extraction failures, so a broken feed gets flagged before it affects your downstream systems.
The retailers, states, and data fields that matter for your business.
Typically a sample dataset from 2–3 target sites within 2–5 business days.
Adjust fields or frequency until the data matches what you need.
Your feed goes live on the delivery method and schedule you choose.
Extraction is limited to publicly accessible pages, and our pipeline is built to work within each site's age-gate and each state's shipping and pricing rules as scoped during onboarding.
Yes. Store-level and state-level pricing is a core part of the liquor schema, since minimum-price laws and control-state pricing vary widely.
In most cases, yes. New retailer and marketplace integrations are scoped case by case depending on site complexity.
Yes — point-in-time snapshots going forward, and in many cases a historical price-trend feed once tracking begins.
Pricing depends on the number of retailers, states, fields, and refresh frequency you need. Most engagements start with a scoped pilot.
We are eagerly waiting to hear you.
Take to our Social Experts, who are at your service 24x7 worldwide.
Drop us an email at sales@realdataapi.com and you'll receive a reply within 24 hours!
Want to talk? Our support staff on +91 8866656657 is at your service 24x7 support worldwide.
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Disclaimer : RealData API functions solely as an independent data infrastructure and technology solutions provider. We build customized automation workflows designed to collect publicly accessible web data based exclusively on client instructions. RealData API neither owns proprietary datasets nor engages in the sale or redistribution of extracted information. Our operations are limited strictly to lawful public web data processing and never involve unauthorized access to restricted systems or private networks. Any company names, trademarks, logos, or brand references displayed on this website are used purely for demonstrative and illustrative purposes to showcase our technical capabilities and do not imply endorsement, partnership, or affiliation. Use of our platform and services remains subject to our Terms of Service.
