shopscout

Scrape any Shopify store - products, collections, pages & metadata from the public JSON API. No API key required.

Three interfaces: Python SDK, CLI, and REST API.

Installation

# Core SDK only
pip install shopscout

# With CLI (click + rich tables)
pip install shopscout[cli]

# With REST API (FastAPI + uvicorn)
pip install shopscout[api]

# Everything
pip install shopscout[all]

Quick Start

from shopscout import Shopify

shop = Shopify('spharetech.com')

# Store metadata
store = shop.store()
print(store.name, store.currency)

# All products (auto-paginated)
products = shop.products()
for p in products:
    print(p.title, p.price, p.available)

# All collections
collections = shop.collections()
for c in collections:
    print(c.title, c.products_count)

# Products in a specific collection
power_banks = shop.collection_products('power-banks')

# Single product
product = shop.product('66w-transparent-power-bank-20000mah')

# Pages
pages = shop.pages()

Pagination

Fetch everything at once or paginate manually — your choice.

shop = Shopify('spharetech.com')

# Auto-paginate: fetches ALL products in one call
all_products = shop.products()

# Manual pagination: fetch one page at a time
page1 = shop.products_page(page=1, limit=30)
page2 = shop.products_page(page=2, limit=30)

# Same for collection products
all_power_banks = shop.collection_products('power-banks')
first_page = shop.collection_products_page('power-banks', page=1, limit=10)

Exporting

from shopscout import Exporter, Shopify

shop = Shopify('spharetech.com')
products = shop.products()

exporter = Exporter(output_dir='output')
exporter.products_to_json(products)
exporter.products_to_csv(products)

Proxy Support

shop = Shopify('store.com', proxy='http://user:pass@host:port')

CLI

# Scrape products
shopscout products spharetech.com
shopscout products spharetech.com --collection power-banks
shopscout products spharetech.com --json
shopscout products spharetech.com --save products.csv

# Scrape collections
shopscout collections spharetech.com

# Store metadata
shopscout store spharetech.com

# With proxy
shopscout --proxy http://host:port products spharetech.com

REST API

# Start the API server
shopscout serve
shopscout serve --port 3000

Endpoints

Method	Endpoint	Description
GET	/api/v1/products?domain=store.com	All products
GET	/api/v1/products?domain=store.com&collection=power-banks	Collection products
GET	/api/v1/products/{handle}?domain=store.com	Single product
GET	/api/v1/collections?domain=store.com	All collections
GET	/api/v1/store?domain=store.com	Store metadata
GET	/api/v1/pages?domain=store.com	All pages
GET	/health	Health check

Interactive docs at http://localhost:8000/docs

Error Handling

from shopscout import Shopify, StoreNotFoundError, ProductNotFoundError

shop = Shopify('not-a-shopify-store.com')
try:
    store = shop.store()
except StoreNotFoundError:
    print('Not a Shopify store')

try:
    product = shop.product('nonexistent')
except ProductNotFoundError:
    print('Product not found')

Exception Hierarchy

ShopifyError
├── StoreNotFoundError
├── ProductNotFoundError
├── CollectionNotFoundError
├── PageNotFoundError
├── RateLimitError
├── RequestError
└── ParsingError

Data Models

Model	Description
Store	Store metadata (name, currency, counts)
Product	Product with variants, images, options
Variant	Pricing, stock, SKU, weight
ProductImage	Image URL with dimensions
ProductOption	Option name and values
Collection	Collection with image and product count
Page	Static page content

All models have a .to_dict() method for serialization.

License

MIT