Schemas define the structure of data you want to extract from websites. They specify field names, data types, and descriptions. Schemas can be reused across multiple workflows. For example, if you need to extract store locations from 5 different websites, you can create one schema and use it for all of them.Documentation Index
Fetch the complete documentation index at: https://docs.kadoa.com/llms.txt
Use this file to discover all available pages before exploring further.
Managing Schemas
Schemas can be created and managed in two ways:In the UI
Create schemas visually using the schema builder, or select from existing templates.
Via Code
Create and manage schemas programmatically with full control over field definitions.
Data Types
When defining schemas, you specify the data type for each field to ensure accurate extraction and validation. Kadoa supports the following data types:| Data Type | Description | Example Use Cases |
|---|---|---|
| STRING | String/text content | Product names, descriptions, article headlines |
| NUMBER | Numeric values (integers, decimals) | Quantities, ratings, scores, counts |
| BOOLEAN | True/false values | Availability status, feature flags, yes/no indicators |
| DATE | Date values | Publication dates, deadlines, event dates |
| DATETIME | Date and time values | Timestamps, scheduled times, last updated |
| MONEY | Currency and monetary values | Prices, costs, revenue, discounts |
| IMAGE | Image URLs and references | Product photos, thumbnails, profile pictures |
| LINK | URLs and hyperlinks | Product pages, external links, social media |
| OBJECT | Nested/complex JSON structures | Structured metadata, complex configurations |
| ARRAY | Lists/arrays of values | Tags, categories, multiple images, feature lists |
Data Type Formats
Some data types return structured values:| Data Type | Format | Example |
|---|---|---|
| MONEY | {"amount": number, "currencyCode": string} | $124.50 → {"amount": 12450, "currencyCode": "USD"} |
The
amount field is always in the smallest currency unit (e.g., cents for USD, pence for GBP).Special Field Types
Beyond regular data fields, Kadoa supports special field types for advanced use cases:Classification Fields
Automatically categorize content into predefined labels. Useful for:- Sentiment analysis (Positive/Negative/Neutral)
- Content categorization (Technology/Business/Sports)
- Priority classification (High/Medium/Low)
Metadata Fields (Raw Content)
Extract raw page content in different formats:- HTML - Raw HTML source code
- MARKDOWN - Markdown formatted content
- PAGE_URL - Page URL