The structured specialty coffee dataset — 8,000+ products from 280+ artisan roasters, with tasting notes mapped to the SCA Flavor Wheel.
A structured catalog of 8,000+ specialty-coffee products from 280+ 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.
One-time purchase · Instant CSV / SQLite download · Zero recurring fees
Direct automated extraction across `/products.json` and `/sitemap.xml` feeds without browser rendering latency.
Poetic terms (`"Grandma's peach cobbler"`) mapped directly to hierarchical paths (`Fruity > Other Fruit > Peach`).
Multi-layer keyword and product-type boundaries filter out mugs, grinders, apparel, gift cards, subscriptions, and merchandise.
| 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.
One-time download · 8,000+ records · Snapshot 2026.07
Built to your spec · per engagement
This is where most of the value is — a fresh, curated feed built to your requirements, not a one-off snapshot of public data.
Request a Custom Quote →Prefer live, self-serve data? Run our scraper on Apify →
RoasterDB is a structured, factual database containing over 8,000 specialty coffee releases from 280+ 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.
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.
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.
Yes. Our Tier 2 Custom & Enterprise offerings include tailored daily/weekly crawling pipelines, custom roaster target lists, and hosted GraphQL/REST endpoints. Contact RoasterDB@proton.me for scoped quotes.
Whether you need custom schema formats, API access, or enterprise invoicing, reach out directly to our desk at RoasterDB@proton.me.