§ 00 · Cross-Source Pipeline & Flavor Mapping

Direct Roaster
Storefronts,
normalized.

Name: RoasterDB Specialty Coffee Dataset — Full Snapshot 2026.10
Creator: RoasterDB
License: https://creativecommons.org/licenses/by-nc/4.0/

The structured specialty coffee dataset — 12,000+ products from 270+ artisan roasters, with tasting notes mapped to the SCA Flavor Wheel.

Abstract

A structured catalog of 12,000+ specialty-coffee products from 270+ curated artisan roasters across 20+ countries. RoasterDB reads each roaster's live storefront and maps its tasting notes deterministically to standard hierarchical SCA Flavor Wheel nodes — with a source URL on every record so any fact can be re-verified.

Get the Dataset ↗ ↓ Sample Explorer 12,000+ rows

One-time purchase · Instant CSV / SQLite download · Zero recurring fees

12,000+

Specialty Coffees · 270+ Roasters · 20+ Countries

3,400+

Verified-Tier Records (origin + price + SCA flavor, QA-passed)

Coverage: Price 88% · Origin 58% · SCA flavor mapping 55% (11,000+ links) · Source URL on every record. Catalog-depth dataset — see field coverage before you buy.

§ 01 · Headline Metrics · Relational Integrity

4 Tables

Shopify API

Storefront Ingestion Engine

Direct automated extraction across `/products.json` and `/sitemap.xml` feeds without browser rendering latency.

SCA Wheel

3-Tier Hierarchical Taxonomy

Poetic terms (`"Grandma's peach cobbler"`) mapped directly to hierarchical paths (`Fruity > Other Fruit > Peach`).

Bean-Only

Non-Bean Filtering

Multi-layer keyword and product-type boundaries filter out mugs, grinders, apparel, gift cards, subscriptions, and merchandise.

§ 02 · Live Catalog Explorer Preview

Open Source Snapshot

ID	Roaster	Coffee Title	Origin	Elevation (masl)	Process	SCA Flavor Wheel Nodes	Score
7704499585122	Onyx Coffee Lab	Monarch - Cafes Only	Colombia / Ethiopia	1,650 - 2,100m	Natural	`Nutty/Cocoa > Cocoa > Dark Chocolate`	92.5
bean_2078	Verve Coffee Roasters	Streetlevel	Guatemala / Colombia	1,500 - 1,850m	Washed	`Sweet > Brown Sugar > Caramel`, `Fruity > Citrus > Orange`	91.0
9142729113913	Black & White	Edwin Noreña - Fruity Flowers	Colombia (Quindio)	1,600 - 1,750m	Anaerobic	`Fruity > Berry > Strawberry`, `Floral > Floral > Jasmine`	94.0
882194011	Passenger Coffee	Divino Niño 2024	Colombia (Huila)	1,800m	Washed	`Fruity > Stone Fruit > Peach`, `Sweet > Honey > Honey`	93.5
664192018	The Barn	Volcan Azul Geisha	Costa Rica	1,700m	Natural Anaerobic	`Floral > Floral > Rose`, `Fruity > Tropical > Passion Fruit`	95.0

Want to dig deeper? Try the interactive Sample Explorer on 🤗 Hugging Face → or download the free 100-row sample dataset.

§ 03 · Two Ways to Get the Data

Snapshot + Custom

Tier 1 · Self-Serve Snapshot

Full Snapshot Dataset

One-time download · 12,000+ records · Snapshot 2026.10

$49

12,000+ specialty coffees from 270+ curated artisan roasters across 20+ countries.
Relational SQLite + CSV + JSON: normalized tables (`roasters`, `coffee_beans`, `sca_flavor_nodes`, `bean_flavors`), ready for ML, recommendation engines, and B2B apps.
SCA Flavor Wheel mapping: 11,000+ bean→flavor links as 3-tier paths (`Category > Subcategory > Descriptor`).
Full provenance: every record carries its source roaster, source URL, and crawl timestamp — traceable and re-verifiable.
Verified tier included: 3,400+ QA-passed records (origin + sanitized price + flavor) alongside the full catalog.
Snapshot 2026.10 · one-time purchase, no recurring fees. Distributed as derived factual attributes with attribution.

Buy Now · Instant Download · $49 →

Secure card checkout via Stripe · Apple Pay / Google Pay · dataset delivered instantly after payment
Need a company invoice or crypto payment? use the contact form (roasterdb@dataengineered.io)

Custom work (subsets, recurring feeds, schema mapping): from $99 — contact the desk

Prefer live, self-serve data? Run our scraper on Apify →

§ 04 · Frequently Asked Questions

Structured Knowledge Base

Dataset & Taxonomy FAQ

What is the RoasterDB Specialty Coffee Dataset?

RoasterDB is a structured, factual database containing over 12,000 specialty coffee releases from 270+ artisan roasters across 20+ countries. Every entry includes standardized attributes like origin country, altitude (masl), process method, varietals, and tasting notes mapped directly to the SCA Flavor Wheel.

How are tasting notes mapped to the SCA Flavor Wheel?

RoasterDB converts poetic or unstructured roaster descriptions (such as "Grandma's peach cobbler" or "bright clementine acidity") into strict 3-tier hierarchical SCA Flavor Wheel paths (for example: Fruity > Other Fruit > Peach). This enables precise semantic filtering and machine learning feature extraction.

What database formats are included in the download?

The download package includes a normalized relational SQLite database file (.db) with separate tables for roasters, coffee beans, and flavor node linkages, alongside clean CSV and JSON exports for direct import into pandas, R, Python scripts, or web applications.

Can I request custom scraping or real-time API access?

Custom work — subsets, recurring feeds, schema mapping — is quoted per engagement from $99. Use the contact form on this page.

§ 05 · Direct Engineering & Dataset Support

Have Questions or Need Custom Data?

Whether you need custom schema formats, API access, or enterprise invoicing, reach out directly to our desk at roasterdb@dataengineered.io.