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

Introduction to Perfume

Perfume is a beloved category in retail and e-commerce. From elegant floral fragrances to bold woody scents, finding the right perfume with the right scent type and size is crucial for any fragrance purchase. Whether you're a retailer building a perfume marketplace, a developer creating a beauty app, or a consumer looking for the perfect scent, having structured perfume product data is essential.

Imagine being able to search for perfumes and instantly get detailed information about each fragrance - from scent type to bottle size. This is exactly what a specialized Perfume Product API can provide.

What Makes a Perfume API Special?

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

• Scent Type: The fragrance family - floral, woody, fresh, oriental, citrus, spicy, or fruity
• Size: The bottle size - 30ml, 50ml, 100ml, or other standard sizes

With this structured data, you can build powerful features like filtering by scent type, comparing perfume sizes, or recommending fragrances based on preferences.

Try It Out: Search for Perfume

Use the search bar below to search for perfume items. Try queries like "Chanel floral perfume 100ml", "Dior woody fragrance 50ml", or "Tom Ford oriental scent". The results will include detailed specifications automatically extracted from product information across the web.

How It Works: Technical Implementation

Now that you've seen the API in action, let's dive into how it's implemented. This specialized Perfume 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 Perfume 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., "perfume Chanel floral 100ml")
• 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 Perfume-Specific JSON Schema to pass as custom_data_schema of search request

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

{
  "type": "object",
  "properties": {
    "scent_type": {
      "type": "string",
      "enum": ["floral", "woody", "fresh", "oriental", "citrus", "spicy", "fruity"],
      "description": "Type of scent or fragrance family"
    },
    "size": {
      "type": "string",
      "description": "Bottle size (e.g., '30ml', '50ml', '100ml', '1.7oz', '3.4oz')"
    }
  },
  "required": ["scent_type", "size"]
}

Using the Category Prefix

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

Example Search Queries:

• perfume Chanel floral 100ml
• perfume Dior woody 50ml
• perfume Tom Ford oriental
• perfume Versace fresh 30ml

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

Complete Example: Making a Request

Here's how to make a request to The Product API with a perfume-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=perfume%20Chanel%20floral%20100ml&with_image=true', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    custom_data_schema: {
      type: "object",
      properties: {
        scent_type: {
          type: "string",
          enum: ["floral", "woody", "fresh", "oriental", "citrus", "spicy", "fruity"],
          description: "Type of scent or fragrance family"
        },
        size: {
          type: "string",
          description: "Bottle size (e.g., '30ml', '50ml', '100ml', '1.7oz', '3.4oz')"
        }
      },
      required: ["scent_type", "size"]
    }
  })
});

const data = await response.json();
console.log(data.products);
Show more (27 lines)

Expected Response

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

{
  "status": "success",
  "products": [
    {
      "name": "Chanel No. 5 Eau de Parfum",
      "description": "A timeless floral fragrance featuring notes of ylang-ylang, neroli, and aldehydes...",
      "brand": "Chanel",
      "image": "https://example.com/image.jpg",
      "custom_data": {
        "scent_type": "floral",
        "size": "100ml"
      }
    }
  ]
}

Conclusion

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

1. Define your schema based on what perfume 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!

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