Back to API Presets
API Preset
January 27, 2025By Product API TeamFurniture

Building a Furniture API with The Product API: A Complete Guide

Create a specialized Furniture Product API with type, material, and color. Perfect for furniture retailers, home decor platforms, and interior design marketplaces.

Introduction to Furniture

Furniture is a cornerstone of home and office design, encompassing everything from comfortable sofas to functional desks. Whether you're a retailer building a furniture marketplace, a developer creating a home decor app, or a consumer furnishing a space, having structured furniture product data is essential.

Imagine being able to search for furniture items and instantly get detailed information about each piece - from type and material to color. This is exactly what a specialized Furniture Product API can provide.

What Makes a Furniture API Special?

A Furniture Product API goes beyond basic product listings. It understands the unique characteristics that matter to furniture buyers:

  • Type: The category of furniture - sofa, chair, table, bed, desk, cabinet, shelf, dresser, ottoman, or bookshelf
  • Material: The primary material - wood, metal, fabric, leather, plastic, glass, rattan, or upholstered
  • Color: The color of the furniture piece for matching and design coordination

With this structured data, you can build powerful features like filtering by furniture type, comparing materials, or recommending items based on style preferences.

Try It Out: Search for Furniture

Use the search bar below to search for furniture items. Try queries like "furniture leather sofa brown", "furniture wooden dining table", or "furniture metal desk black". The results will include detailed specifications automatically extracted from product information across the web.

Try the Furniture API

Search for furnitures and see detailed specifications automatically extracted from product information.

How It Works: Technical Implementation

Now that you've seen the API in action, let's dive into how it's implemented. This specialized Furniture API is built on top of The Product API which is an AI-based product search API that works with any product and any type of query. It responds with structured JSON and supports custom structured responses, allowing you to build specialized APIs for any product category.

The Product API's powerful custom_data_schema feature allows you to define additional structured fields specific to your product category, enabling you to create category-specific APIs like this Furniture API. For more details on how the API works, see the full documentation.

Understanding APIs for Product Data

An API (Application Programming Interface) enables different software applications to communicate. For product data:

  • Input: You send a search query (e.g., "furniture leather sofa brown")
  • Processing: The API searches across multiple sources and uses AI to extract relevant information
  • Output: You receive structured product data in JSON format

The flexibility of a product API means you can customize it for specific categories by defining additional data fields through JSON Schema.

Creating a Furniture-Specific JSON Schema to pass as custom_data_schema of search request

Here's the JSON Schema we use for furniture products:

{
  "type": "object",
  "properties": {
    "furniture_type": {
      "type": "string",
      "enum": ["sofa", "chair", "table", "bed", "desk", "cabinet", "shelf", "dresser", "ottoman", "bookshelf"],
      "description": "Type of furniture"
    },
    "material": {
      "type": "string",
      "enum": ["wood", "metal", "fabric", "leather", "plastic", "glass", "rattan", "upholstered"],
      "description": "Primary material"
    },
    "color": {
      "type": "string",
      "description": "Furniture color (e.g., 'brown', 'black', 'white', 'gray', 'beige')"
    }
  },
  "required": ["furniture_type", "material"]
}

Using the Category Prefix

When searching for furniture items, we prefix the search query with "furniture" to help the AI understand the context and return more relevant results.

Example Search Queries:

  • furniture leather sofa brown
  • furniture wooden dining table
  • furniture metal desk black
  • furniture fabric chair gray

The prefix "furniture" ensures the API understands you're looking specifically for furniture items and not other products.

Complete Example: Making a Request

Here's how to make a request to The Product API with a furniture-specific schema. For complete API reference including authentication, endpoints, and all parameters, see the documentation:

const response = await fetch('https://api.example.com/api?search=furniture%20leather%20sofa%20brown&with_image=true', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    custom_data_schema: {
      type: "object",
      properties: {
        furniture_type: {
          type: "string",
          enum: ["sofa", "chair", "table", "bed", "desk", "cabinet", "shelf", "dresser", "ottoman", "bookshelf"],
          description: "Type of furniture"
        },
        material: {
          type: "string",
          enum: ["wood", "metal", "fabric", "leather", "plastic", "glass", "rattan", "upholstered"],
          description: "Primary material"
        },
        color: {
          type: "string",
          description: "Furniture color"
        }
      },
      required: ["furniture_type", "material"]
    }
  })
});

const data = await response.json();
console.log(data.products);

Expected Response

The API will return products with standard fields plus your custom custom_data field:

{
  "status": "success",
  "products": [
    {
      "name": "Leather Sofa",
      "description": "A comfortable brown leather sofa with modern design...",
      "brand": "Furniture Co",
      "image": "https://example.com/image.jpg",
      "custom_data": {
        "furniture_type": "sofa",
        "material": "leather",
        "color": "brown"
      }
    }
  ]
}

Conclusion

By combining the flexible Product API with a furniture-specific JSON Schema, you can create a powerful, specialized API for furniture products. The key is:

  1. Define your schema based on what furniture data matters to your application
  2. Use category prefixes in search queries for better context
  3. Leverage the custom_data field to build rich, category-specific features

The same approach works for any product category - you just need to define the right schema for your needs!

Ready to get started? Create your own product API on The Product API and start building your own category-specific APIs today!


Ready to build your own category-specific API? Check out our other API preset guides for backpacks, sunglasses, chainsaws, and more!