coffeetrove
Python SDK for CoffeeTrove.com -- explore 440,000+ cafes, coffee origins, brewing methods, beans, and specialty coffee data worldwide.
Install
pip install coffeetrove
For pandas DataFrame support:
pip install coffeetrove[pandas]
Quick Start
import coffeetrove
# Find cafes in any city
paris_cafes = coffeetrove.cafes("Paris", limit=5)
print(paris_cafes[0]["name"])
# Search cafes by name
results = coffeetrove.search_cafes("Blue Bottle", city="Tokyo")
# Coffee origins with flavor profiles
origins = coffeetrove.origins()
ethiopia = [o for o in origins if o["slug"] == "ethiopia"][0]
print(ethiopia["flavor_profile"])
# Brewing methods with step-by-step guides
methods = coffeetrove.methods()
# Coffee drinks with nutritional info
drinks = coffeetrove.drinks()
# Bean varieties
beans = coffeetrove.beans()
# Equipment and gear
gear = coffeetrove.equipment()
Using the Client
For more control, use CoffeeTroveClient directly:
from coffeetrove import CoffeeTroveClient
with CoffeeTroveClient() as client:
# Search cafes with multiple filters
cafes = client.cafes(city="Melbourne", limit=20)
# Get cafes by country
japan_cafes = client.cafes(country="japan", limit=50)
# Count cafes
total = client.count_cafes()
print(f"Total cafes: {total:,}") # Total cafes: 440,000+
# Count by country
france = client.count_cafes(country="france")
print(f"Cafes in France: {france:,}")
# Get all coffee comparisons
comparisons = client.comparisons()
Pandas DataFrames
import coffeetrove
# Cafes as DataFrame
df = coffeetrove.cafes("London", limit=100, as_dataframe=True)
print(df[["name", "city", "score"]].describe())
# Origins as DataFrame
origins_df = coffeetrove.origins(as_dataframe=True)
Data Available
| Data | Count | Description |
|---|---|---|
| Cafes | 440,000+ | Name, address, coordinates, score, hours, chain type |
| Origins | 15+ | Growing regions with altitude, flavor, harvest data |
| Brewing Methods | 15+ | Step-by-step guides with grind, temp, ratio |
| Drinks | 17+ | Ingredients, caffeine, calories |
| Beans | 23+ | Species, origin, flavor notes, processing |
| Equipment | 15+ | Category, price range, difficulty |
| Comparisons | 17+ | Side-by-side drink and method analysis |
Golden Drop Score
Every cafe has a score (0-100) based on data completeness, reviews, and chain type. Independent cafes receive a +10 bonus. Learn more.
Links
- CoffeeTrove.com -- Main site
- Cafe Map -- Interactive map of 440K cafes
- Knowledge Hub -- Brewing guides, origins, drinks
- Brewing Tools -- Ratio calculator, grind guide, timer
- Magazine -- Coffee culture articles
License
MIT
Metadata
Release files for coffeetrove 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| coffeetrove-0.1.0.tar.gz | 19.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| coffeetrove-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 38.2 kB
Release files / coffeetrove-0.1.0.tar.gz
| Download URL | coffeetrove-0.1.0.tar.gz |
|---|---|
| Size | 19.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.14.3
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Release files / coffeetrove-0.1.0-py3-none-any.whl
| Download URL | coffeetrove-0.1.0-py3-none-any.whl |
|---|---|
| Size | 19.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
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