Spider
Spider Overview
Spider is a cutting-edge web crawling tool designed to optimize data collection for AI projects. Built entirely in Rust, it offers unparalleled speed and scalability, making it ideal for handling large-scale data scraping tasks. With its ability to crawl over 100,000 pages per second and support for various data formats, including LLM-ready markdown, Spider ensures efficient and cost-effective data gathering. Its advanced features, such as concurrent streaming and smart mode, allow users to save time and resources while maintaining high success rates.
Spider is engineered to cater to the needs of AI agents and LLMs by providing clean and formatted data outputs in multiple formats like HTML, JSON, and CSV. It also offers HTTP caching and auto proxy rotations to further enhance performance and reduce latency. With a focus on continuous improvement and community support, Spider is trusted by leading tech businesses worldwide for delivering accurate and insightful data solutions.
Spider Highlights
- Capable of crawling over 100,000 pages per second with unlimited concurrency.
- Supports multiple data formats, including HTML, JSON, CSV, and markdown.
- Offers advanced features like smart mode, concurrent streaming, and HTTP caching for optimal performance.
Use Cases
An e-commerce company wants to gather product information from various competitor websites to analyze pricing strategies and product offerings. Using Spider, they can efficiently crawl over 100,000 pages per second, collecting data in formats like JSON and CSV for easy analysis.
The company gains a comprehensive understanding of competitor pricing and product trends, enabling them to adjust their strategies and remain competitive in the market.
A tech firm developing a new AI language model needs a vast amount of clean and structured text data. Spider's ability to output data in LLM-ready markdown and other formats allows the firm to quickly gather and format the necessary data for training their model.
The firm accelerates the development of their AI model, reducing time to market and improving the model's performance with high-quality training data.
A media company aims to provide real-time news updates by aggregating articles from multiple news websites. Spider's concurrent streaming and smart mode features enable the company to efficiently crawl and update their platform with the latest news articles.
The media company enhances its news delivery service, attracting more users with timely and comprehensive news coverage, thereby increasing user engagement and advertising revenue.