Crawlspace is a centralized web crawling platform designed for developers to build and deploy web crawlers efficiently. It enables users to gather fresh data for applications and agents while contributing to a platform-wide cache for crawler traffic. With Crawlspace, developers can affordably crawl millions of pages, extract structured data using Large Language Models (LLMs) or query selectors, and store data in various formats, including SQLite databases, buckets, and vector databases. The platform emphasizes compliance by following robots.txt directives and implementing rate-limiting by default. Additionally, Crawlspace offers features like JavaScript rendering, scheduling, and support for secrets management, all within a serverless architecture that scales horizontally to meet diverse crawling needs.
Key Features and Functionality:
- Scalable Crawling: Affordably crawl tens of millions of pages per month on a horizontally-scaling architecture.
- Data Extraction: Utilize LLMs or query selectors to extract JSON conforming to custom schemas.
- Compliance: Adheres to robots.txt and rate-limits responses by default.
- Storage Solutions: Store structured data in SQLite, unstructured data in buckets, and semantic data in vector databases.
- JavaScript Rendering: Render single-page applications that require JavaScript to run.
- Scheduling: Set crawlers to run on consistent schedules, including daily, hourly, or by-the-minute intervals.
- Secrets Management: Crawl pages behind authentication using encrypted credentials.
- Serverless Architecture: Deploy web crawlers without maintaining infrastructure, benefiting from a serverless environment.
Primary Value and Problem Solved:
Crawlspace addresses the challenges developers face in building and deploying scalable, compliant, and efficient web crawlers. By providing a centralized platform with built-in compliance features, scalable architecture, and versatile data storage options, it simplifies the process of web data extraction. This enables developers to focus on leveraging the gathered data for their applications and agents without the overhead of managing crawling infrastructure.
