expand.ai transforms any website into a type-safe API, enabling developers to extract and utilize structured data reliably and efficiently. The platform addresses the challenges of web scraping by providing high-quality, traceable data from any public site, regardless of complexity or bot protection.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Extracting structured data from websites is often complex and unreliable due to dynamic content, JavaScript rendering, and bot protection mechanisms. Existing web scraping methods can be time-consuming, require significant maintenance, and may return inconsistent or inaccurate data.
Solution
Expand.ai provides a platform that transforms any website into a type-safe API, enabling developers to reliably extract and utilize structured data. The platform leverages AI to automatically infer schemas and extract data, even from websites with complex rendering or bot protection. Users can customize schemas to fit their specific needs and integrate data from various sources, including the web and internal documents. Expand.ai manages the underlying infrastructure, including proxies and browser management, ensuring high data quality and reliability. The extracted data can be used to feed LLMs or create custom datasets that can be exported to various destinations.
Target Audience
Expand.ai targets developers, data scientists, and AI engineers who need reliable, structured data from the web for applications such as AI model training, data analysis, and application development.
Features
- Automatic schema inference using AI to create type-safe APIs from any website
- Support for JavaScript rendering and bot protection to ensure data extraction from complex sites
- Customizable schemas to tailor data extraction to specific requirements
- Integration with various data sources, including web pages and internal documents
- Semantic markdown output for optimized LLM integration
- Scalable web crawling infrastructure capable of processing millions of pages
- Data quality checks and tracing to ensure accuracy and prevent hallucinations
- Dataset creation and export to S3, Postgres, Google Sheets, and other destinations