Introduction
WebClassifAI is a powerful URL classification API that leverages multiple Machine Learning models trained on extensive datasets to categorize web content according to the IAB (Interactive Advertising Bureau) Taxonomies.
How It Works
When you send a URL to our API:
- The URL is scraped to extract meaningful content from the webpage
- The extracted content is processed and analyzed by our ML models
- The models classify the content into appropriate IAB taxonomy categories
- Results are returned with confidence scores for each prediction
Our system is designed to handle both single URLs and batch processing, with support for up to 500 URLs per request for optimal efficiency.
Key Features
- Multi-Model Approach: Utilizes multiple ML models for accurate classification
- IAB Taxonomy Support: Classifies content according to the latest IAB taxonomies
- Batch Processing: Efficiently process up to 500 URLs in a single request
- Multi-Predict Support: Get multiple category predictions for content that fits multiple categories
- Robust Error Handling: Gracefully handles invalid URLs and server issues
Getting Started
To start using WebClassifAI:
- Create an account to receive your API key
- Review the API Reference for request/response formats
- Check out our Code Examples for implementation guides
- Explore the IAB Taxonomies to understand the classification categories
Trying the API
Ready to test WebClassifAI? You have several options to get started quickly:
Test the API directly in your browser using our Playground - no setup required.
Postman Collection
Try in Postman - Import our pre-configured collection for instant testing.
cURL Example
curl -X POST https://api.classifai.com/v1 \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your_api_key" \
-d '{
"urls": ["https://example.com"],
"taxonomy": "iab-1.0"
}'
For production implementation and language-specific examples, see our Code Examples guide.
Support
Need help? Check out our Support page or contact us directly through our Contact Form .