How to Get WooCommerce Product Data via API

Name: ShelfRun
Author: ShelfRun

March 6, 2026 · 6 min read

WooCommerce powers over 6 million online stores — more than any other e-commerce platform. Whether you're building a price comparison app, monitoring competitors, or feeding data into an AI pipeline, you need a reliable way to extract WooCommerce product data.

The challenge: WooCommerce's REST API requires admin credentials. For your own store, that's fine. For competitor stores or third-party data, you need a different approach.

Option 1: WooCommerce REST API (Your Own Store)

If you're extracting from a store you own, use the official REST API:

curl https://yourstore.com/wp-json/wc/v3/products   -u consumer_key:consumer_secret

# Returns paginated JSON with all products
# Max 100 per page, use ?page=2 for more

This works well but requires generating API credentials in WooCommerce → Settings → Advanced → REST API. You cannot use this for stores you don't own.

Option 2: ShelfRun API (Any Public WooCommerce Store)

ShelfRun detects WooCommerce automatically and extracts product data from the store's public endpoints — no admin credentials needed. This works on any public WooCommerce store.

from shelfrun import ShelfRun

sr = ShelfRun(api_key="sr_live_your_key")

# Detect platform and get all products
result = sr.quickscan("woocommerce-store.com")

print(f"Platform: {result['platform']}")  # "woocommerce"
print(f"Products: {result['products_found']}")

for product in result['products'][:10]:
    print(product['name'] + ": $" + str(product['price']))

What You Get from WooCommerce Stores

ShelfRun's WooCommerce extractor returns standardized JSON for every product:

{
  "platform": "woocommerce",
  "products_found": 312,
  "products": [
    {
      "name": "Organic Cotton T-Shirt",
      "price": 29.99,
      "compare_at_price": 39.99,
      "currency": "USD",
      "in_stock": true,
      "stock_quantity": 45,
      "sku": "OCT-BLK-M",
      "categories": ["Clothing", "T-Shirts"],
      "image_url": "https://...",
      "product_url": "https://...",
      "variants": [
        {"name": "Size", "options": ["S", "M", "L", "XL"]},
        {"name": "Color", "options": ["Black", "White", "Navy"]}
      ]
    }
  ]
}

Handling Pagination

Large WooCommerce stores can have thousands of products. ShelfRun handles pagination automatically:

# ShelfRun automatically paginates through all products
result = sr.quickscan("large-store.com")

# All products are returned, regardless of catalog size
print(f"Total products: {len(result['products'])}")

Set Up Ongoing Monitoring

For continuous price tracking, add the store to ShelfRun's monitoring:

import requests

# Add store with daily sync
response = requests.post(
    "https://api.shelfrun.com/v1/stores",
    headers={"X-API-Key": "sr_live_..."},
    json={
        "url": "woocommerce-store.com",
        "sync_frequency": "daily",
        "webhook_url": "https://yourapp.com/webhook"
    }
)

store_id = response.json()["store_id"]
print(f"Monitoring store: {store_id}")

Filter by Category or Price Range

Once you have products, filter them in Python:

# Get all products under $50 that are in stock
affordable = [
    p for p in result["products"]
    if p["price"] < 50 and p["in_stock"]
]

# Get products in a specific category
clothing = [
    p for p in result["products"]
    if "Clothing" in p.get("categories", [])
]

print(f"Affordable items: {len(affordable)}")
print(f"Clothing items: {len(clothing)}")

WooCommerce vs Shopify: What's Different?

ShelfRun normalizes data across platforms, but there are some WooCommerce-specific features worth knowing:

Variable products: WooCommerce uses variable products for size/color variants — ShelfRun returns all variant combinations
Stock management: Per-variation stock is common in WooCommerce; ShelfRun reports it at both product and variant level
Custom fields: WooCommerce stores often use ACF or custom meta — ShelfRun includes these in the metadata field when available