faker-ecommerce-provider 1.2.0

Generate realistic e-commerce test data: products, SKUs, orders, 25+ carriers, 25+ payment methods, coupons, reviews, and more

faker-ecommerce-provider

Faker provider for generating realistic e-commerce fake data.

Installation

pip install faker-ecommerce-provider

Usage

from faker import Faker
from faker_ecommerce import EcommerceProvider

fake = Faker()
fake.add_provider(EcommerceProvider)

# Basic usage
fake.product_name()       # 'Premium Leather Electronics Item'
fake.product_name(include_brand=True) # 'Sony Modern Wireless Headphones'
fake.brand_name()         # 'Samsung'
fake.product_description() # 'A modern headphones made with high-quality stainless steel.'
fake.sku()                # 'ABC-1234-XY'
fake.order_id()           # 'ORD-123456789'
fake.tracking_number()    # '1ZABCD1234567890'
fake.tracking_number(carrier="USPS") # '9400100000000000000000'
fake.price()              # '$49.99'
fake.shipping_carrier()   # 'FedEx'
fake.payment_method()     # 'Apple Pay'

# Generate a complete order
order = fake.full_order()
print(order)
# {
#   'order_id': 'ORD-891234567',
#   'product': 'Apple Classic Aluminum Laptop',
#   'sku': 'DLL-4821-KP',
#   'price': '$899.99',
#   'payment_method': 'Credit Card',
#   'customer_type': 'Prime',
#   'status': 'Shipped',
#   'carrier': 'UPS',
#   'tracking_number': '1Z87654...',
#   'review_rating': 5
# }

💡 Tip: Run python showcase.py to see all available features and examples!

Available Methods

Method	Example
product_name()	Premium Leather Electronics Item
product_name(include_brand=True)	Samsung Modern Smartphone
brand_name()	Apple, Sony, Nike
product_description()	A modern laptop made with high-quality aluminum.
product_category()	Electronics, Clothing, Home & Garden
sku()	ABC-1234-XY
order_id()	ORD-123456789
tracking_number()	1ZABCD1234567890
price()	$49.99
discount_percentage()	25%
shipping_carrier()	FedEx, UPS, DHL
payment_method()	Credit Card, PayPal, Apple Pay
order_status()	Pending, Shipped, Delivered
customer_type()	Guest, VIP, Prime
return_reason()	Wrong Size, Defective
coupon_code()	SAVE20
review_rating()	1-5
full_order()	Dictionary with complete order details

Running Tests

To run the tests, install the dependencies and run pytest:

pip install .[dev]
pytest tests/

License

MIT