Browse AI

Browse AI turns website pages into structured datasets without requiring users to write scraping code. A user provides a page URL, lets the AI propose the fields and columns to capture, then reviews and approves the extraction setup. Robots can be reused across pages, run on a schedule and monitor sites for changes. The platform describes support for dynamic pages, pagination, forms and search fields, with retries, proxy management and automated adaptation when page layouts change. Results can be exported as spreadsheets or structured files, delivered through a REST API or webhook, or connected to services such as Google Sheets, Airtable, Zapier and Make. Workflows can chain robots to crawl a site and extract information from linked pages. Teams use these datasets for tasks such as price and inventory monitoring, competitive research, lead generation and market analysis. Browse AI also describes a route for feeding structured web data into LLM and RAG systems. The product is aimed at business and data teams that need recurring web data but want to avoid building and maintaining custom scrapers. A free plan includes monthly credits; paid subscriptions add larger credit allowances, more websites and team capacity. Managed extraction services are also available for enterprise requirements.