Havenly Nest

Havenly Nest is a mock.shop sample store for building against a large home furnishings shop before a real Shopify store is ready. The catalog includes beds and bed frames, sofas, dining tables, floor and table lamps, bath towels and rugs, cookware, and storage baskets and vases. There are 995 products across 12 collections. Each product has one option selector; its label and choices depend on the item.

mock.shop is an auth-free Shopify Storefront GraphQL API backed by sample reference stores. Find out more about mock.shop sample stores.

When to use this store

Choose Havenly Nest when you want to build a large home furnishings store with paginated browsing across rooms and product types.

Use Havenly Nest for:

• Full-range home furnishings store with beds, sofas, dining tables, lighting, cookware, bath goods, and decorative accessories across 32 categories
• Solid Wood Bed with Ash Wood Finish product pages with Material choices
• Paginated browsing across bedroom, living, kitchen, bath, and office collections

Choose another mock.shop store if you need a smaller home assortment or products with paired selectors and variable prices. Browse https://mock.shop/llms.txt to find a store that matches your catalog.

Example Havenly Nest query

Here’s an example GraphQL POST request that retrieves options and variant prices for one product from https://home-large-catalog.mock.shop/api:

curl https://home-large-catalog.mock.shop/api \
  -H 'Content-Type: application/json' \
  --data '{"query":"{ product(handle: \"solid-wood-bed-with-ash-wood-finish\") { id title options { name values } variants(first: 50) { pageInfo { hasNextPage } nodes { id title selectedOptions { name value } price { amount currencyCode } compareAtPrice { amount currencyCode } availableForSale } } } }"}'

This query retrieves Solid Wood Bed with Ash Wood Finish, including option values, variant IDs, selected options, availability, and current and compare-at prices. Use the selected variant’s ID and price when adding it to a cart.

The endpoint doesn't require authentication or an access token. Read https://home-large-catalog.mock.shop/llms.txt for catalog details and store-specific instructions.

What this catalog lets you test

Build a large home furnishings store where customers browse by room, load more products, and mix furniture with smaller home essentials. This Havenly Nest catalog has 995 products across 12 collections, making pagination useful rather than adding it to a tiny assortment. Product pages remain simple with one selector and two variants per item. The Solid Wood Bed with Ash Wood Finish, for example, has Material choices Linen and Cotton at the same price. Treat those as sample variant labels, not wood-species information. This is the large home catalog, distinct from the smaller Havenly Nest decor store.

Preview the catalog in a storefront by opening https://home-large-catalog.hydrogen.mock.shop in a browser.

Build with an AI coding tool

To build a large-scale home furnishings storefront with Havenly Nest using Claude, ChatGPT, Cursor, Lovable, or another AI assistant, copy the prompt below. It gives the assistant the store domain and directs it to the catalog instructions before it starts writing code.

Build me a Hydrogen storefront using home-large-catalog.mock.shop as the store domain. Setup instructions: home-large-catalog.mock.shop/llms.txt

Shopify also provides a mock.shop starter project: a Hydrogen storefront with product pages, collection browsing, and a working cart already connected to mock.shop. You or your AI coding tool can customize this code instead of building those pieces from scratch.

Follow the repository’s setup instructions, then set PUBLIC_STORE_DOMAIN=home-large-catalog.mock.shop in .env and restart the dev server to use Havenly Nest’s catalog. Leave PUBLIC_STOREFRONT_API_TOKEN empty; mock.shop doesn’t require a token.

Move to a real Shopify store

mock.shop uses fictional, read-only catalog data. Cart operations work, and checkout is mocked: no payment is taken and no real order is placed. The Customer Account API isn’t supported.

When you’re ready to launch, point your storefront at a Shopify store and add that store’s public Storefront API token. If you don’t have a Shopify store yet, start a Shopify free trial to create one.

Read the mock.shop developer documentation for setup and migration details.

Store facts