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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
dotNetRDF is a .Net Class Library for working with RDF and SPARQL programatically built with C# 3 for the .Net Framework 3.5/4.0/Silverlight 4 and WIndows Phone 7. It provides a simple object model for representing RDF, SPARQL Queries and Updates and understands all common RDF and SPARQL syntaxes.
Extensive documentation is available on the website and support is available via the mailing lists.
Given an XSD schema and an XSA.xml configuration file, XML Skeleton Annotations (XSA) generates JSF forms UI to create XML records compliant to the XSD and following the XML skeleton defined in XSA.xml, still keeping everything under your control.
.NET solution helping U.S. health officials inspect food service establishments for compliance with state/local health & sanitation regulations. Mobile component assists field-work while a back-office component administers forms, records and scheduling.