Overview
What is Web Cat API?
Web Cat API is a collection of Python-based APIs designed to enhance AI models with web search and content extraction capabilities, enabling integration of web content into AI applications like ChatGPT.
How to use Web Cat API?
To use Web Cat API, deploy the Azure Functions API or the MCP server using Docker, configure the necessary environment variables, and make API calls to extract content or perform searches.
Key features of Web Cat API?
- Content extraction using the readability library
- Enhanced text processing for usability
- Web search capabilities integrated with Serper.dev
- Compliance with Model Context Protocol (MCP)
- Support for Server-Sent Events (SSE) and RESTful endpoints
- Configurable rate limiting to protect the API
- Backward compatibility through API versioning
- Docker support for easy deployment
- Parallel processing for faster responses
Use cases of Web Cat API?
- Extracting clean text and images from web pages for AI training.
- Enabling web search functionality in AI applications.
- Integrating web content into custom GPT models.
FAQ from Web Cat API?
- What is required to use the search functionality?
A Serper API key is required to access the search capabilities.
- Can I run the API locally?
Yes! You can test the Azure Functions API locally using the provided curl commands.
- Is there support for multimedia content?
The APIs are optimized for text and image content and may not accurately represent other multimedia or dynamic web content.