Rust-based high-throughput web crawling and scraping API that returns Markdown or structured data for LLM ingestion, offering concurrent crawls, JavaScript rendering, and an MCP server for connecting agents to live web content.
Key Features
- Supports high-concurrency web crawling
- Converts to LLM-ready Markdown format
- Supports JavaScript dynamic-page rendering
- Provides an MCP server to connect AI agents
- Extracts structured web data
Pros
- Extremely fast processing
- Output format perfectly fits LLM needs
- Supports complex dynamic pages
Cons
- Requires API integration ability
- Requires attention to target sites' anti-scraping mechanisms
Use Cases
- AI agents fetching web information in real time
- Large-scale web data cleaning and conversion
- Automated content updates for knowledge bases
Editor's Note
A high-performance crawling tool built for the AI era that dramatically simplifies turning web data into LLM input.
FAQ
What language is Spider Cloud built in?
It is built on the high-performance Rust language, delivering extremely high concurrent processing capability.
What data formats can it output?
It can output Markdown format or structured data, ideal for feeding directly to large language models.
Does it support JavaScript-rendered pages?
Yes. It has JavaScript rendering, so it can correctly crawl dynamically loaded page content.
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