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

Create a specialized Planners Product API with planner type, size, binding, and page count. Perfect for stationery platforms, office supply stores, and productivity retailers.

Introduction to Planners

Planners are essential organizational tools that help people manage their time, tasks, and goals. From daily planners for detailed scheduling to yearly planners for long-term planning, finding the right planner with the right specifications is crucial for productivity and organization. Whether you're stocking a stationery store, building an office supply marketplace, or creating a productivity product catalog, having structured planner product data is essential.

Imagine being able to search for planners and instantly get detailed information about each planner - from planner type to size, binding, and page count. This is exactly what a specialized Planners Product API can provide.

What Makes a Planners API Special?

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

Planner Type: The time organization format - daily, weekly, monthly, yearly, academic, or undated
Size: The physical dimensions - pocket, compact, standard, large, or extra large
Binding: How pages are held together - spiral, bound, disc-bound, ring-bound, or stapled
Pages: The number of pages in the planner

With this structured data, you can build powerful features like filtering by planner type, comparing sizes, or recommending planners based on organizational preferences.

Try It Out: Search for Planners

Use the search bar below to search for planners. Try queries like "planner daily 2024", "weekly planner spiral", or "academic planner large". The results will include detailed specifications automatically extracted from product information across the web.

Try the Planners API

Search for plannerss 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 Planners 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 Planners 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., "planner daily 2024")
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 Planners-Specific JSON Schema to pass as custom_data_schema of search request

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

{
  "type": "object",
  "properties": {
    "planner_type": {
      "type": "string",
      "enum": ["daily", "weekly", "monthly", "yearly", "academic", "undated"],
      "description": "Type of planner"
    },
    "size": {
      "type": "string",
      "enum": ["pocket", "compact", "standard", "large", "extra_large"],
      "description": "Planner size"
    },
    "binding": {
      "type": "string",
      "enum": ["spiral", "bound", "disc_bound", "ring_bound", "stapled"],
      "description": "Binding type"
    },
    "pages": {
      "type": "number",
      "description": "Number of pages"
    }
  },
  "required": ["planner_type", "size"]
}

Using the Category Prefix

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

Example Search Queries:

planner daily 2024
planner weekly spiral
planner academic large
planner monthly bound

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

Complete Example: Making a Request

Here's how to make a request to The Product API with a planners-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=planner%20daily%202024&with_image=true', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    custom_data_schema: {
      type: "object",
      properties: {
        planner_type: {
          type: "string",
          enum: ["daily", "weekly", "monthly", "yearly", "academic", "undated"],
          description: "Type of planner"
        },
        size: {
          type: "string",
          enum: ["pocket", "compact", "standard", "large", "extra_large"],
          description: "Planner size"
        },
        binding: {
          type: "string",
          enum: ["spiral", "bound", "disc_bound", "ring_bound", "stapled"],
          description: "Binding type"
        },
        pages: {
          type: "number",
          description: "Number of pages"
        }
      },
      required: ["planner_type", "size"]
    }
  })
});

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": "Daily Planner 2024",
      "description": "A comprehensive daily planner with space for appointments, tasks, and notes...",
      "brand": "Productivity Co",
      "image": "https://example.com/image.jpg",
      "custom_data": {
        "planner_type": "daily",
        "size": "standard",
        "binding": "spiral",
        "pages": 365
      }
    }
  ]
}

Conclusion

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

Define your schema based on what planner data matters to your application
Use category prefixes in search queries for better context
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 pens, books, keyboards, and more!