How to export Shopify
products to JSON.

The address

This asks for the second page of the whole store, 250 products a page. For one collection, put /collections/NAME before /products.json.

https://shop-name.com/products.json?limit=250&page=2

The answer, shortened

Prices are text in the store's currency, with no currency code. compare_at_price is the struck-out price, or null when there is none.

{
  "products": [
    {
      "id": 1000000000001,
      "title": "Red Crossbody Bag",
      "handle": "red-crossbody-bag",
      "body_html": "<p>A small crossbody bag in red leather.</p>",
      "vendor": "Your Shop",
      "product_type": "Bags",
      "tags": ["leather", "new"],
      "variants": [
        {
          "id": 2000000000001,
          "title": "Default Title",
          "sku": "YS-007",
          "available": true,
          "price": "1899.00",
          "compare_at_price": "2499.00"
        }
      ],
      "images": [
        {
          "src": "https://cdn.shopify.com/s/files/1/0000/0001/files/red-crossbody-bag-1.jpg",
          "width": 2048,
          "height": 2048
        }
      ],
      "options": [{ "name": "Title", "position": 1, "values": ["Default Title"] }]
    }
  ]
}

Python, with no extra packages

It asks for one page at a time with limit=250 until a page holds fewer than 250 products, pauses two seconds between requests, and saves every product in one file. Many stores refuse scripts with error 429 (too many requests) even when the same address opens in a browser. The work is then in the details: which variant's price to show, turning the description HTML into text, and downloading the images. The extension does those for you and needs no setup.

import json, time, urllib.request

store = "https://shop-name.com"   # the store's address
products, page = [], 1
while True:
    url = f"{store}/products.json?limit=250&page={page}"
    with urllib.request.urlopen(url) as response:
        batch = json.load(response)["products"]
    products += batch
    if len(batch) < 250:
        break
    page += 1
    time.sleep(2)   # a pause between requests

with open("products.json", "w", encoding="utf-8") as f:
    json.dump(products, f, indent=2, ensure_ascii=False)
print(len(products), "products saved")