Spider
The Web Crawler for AI Agents and LLMs
Description
Spider is an advanced web crawling solution designed to provide high-quality data for AI agents and Large Language Models (LLMs). It is engineered with a focus on speed and scalability, utilizing a Rust-based engine to efficiently collect web data. This makes it a powerful tool for users looking to elevate their AI projects by ensuring a reliable and fast stream of information.
The platform offers robust data automation capabilities, allowing for the collection of content in various formats, including clean markdown, HTML, and text, which are ideal for fine-tuning or training AI models. Spider supports seamless integrations with major AI tools and services, features concurrent streaming to optimize bandwidth and reduce latency, and includes smart functionalities like dynamic switching to Headless Chrome for JavaScript-heavy pages. It also provides HTTP caching to boost speed for repeated crawls.
Key Features
- High-Speed Crawling: Built in Rust, capable of crawling over 20k SSG pages in batch mode and 100,000 pages/seconds.
- Scalable Architecture: Engineered for next-generation scalability, handling extreme workloads effortlessly, powered by the Spider open-source project.
- Multiple Output Formats: Delivers clean and formatted markdown, HTML, or text content suitable for fine-tuning or training AI models.
- Seamless Integrations: Compatible with major AI tools and services including LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, and PhiData.
- AI-Powered Scraping (Beta): Offers custom browser scripting and data extraction using AI models with no cost step caching.
- Smart Mode & Headless Chrome: Dynamically switches to Headless Chrome when needed for JavaScript rendering and complex site crawling.
- Concurrent Streaming: Effectively streams all results concurrently, saving time and reducing latency costs, especially for large crawls.
- Developer-Friendly API: Features a simple, consistent API with high request limits (e.g., 50,000 requests per minute) and auto proxy rotations.
Use Cases
- Powering AI agents with real-time web data
- Collecting diverse training data for Large Language Models (LLMs)
- Automating content aggregation for AI-driven analysis and insights
- Fine-tuning AI models using specifically formatted web content
- Conducting large-scale web scraping for market research and development
- Building streamlined data pipelines for AI applications
Frequently Asked Questions
What is Spider?
Spider is a leading web crawling tool designed for speed and cost-effectiveness, supporting various data formats including LLM-ready markdown.
Why is my website not crawling?
Your crawl may fail if it requires JavaScript rendering. Try setting your request to 'chrome' to solve this issue.
Can you crawl all pages?
Yes, Spider accurately crawls all necessary content without needing a sitemap.
What formats can Spider convert web data into?
Spider outputs HTML, raw, text, and various markdown formats. It supports JSON, JSONL, CSV, and XML for API responses.
Does it respect robots.txt?
Yes, compliance with robots.txt is default, but you can disable this if necessary.
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