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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.
That project aims at providing a clean API and a simple implementation, as a C++ library, of an Airline-related Inventory Management system. That library uses the Standard Airline IT C++ object model (http://sf.net/projects/stdair).
simple tracking of laboratory purchases and materials
Note: This project has been migrated to:
https://github.com/graik/labhamster
Labhamster is a simple Django project for tracking materials and reagants ordered for a scientific laboratory and offers a rudimentary inventory management. For now it is not much more than the out-of-the-box Django admin interface with a pretty standard data model.
ZIMS is a zope-based inventory management system that handles hardware and software tracking, with license compliance checking, a built in helpdesk/task system, advanced reporting features, and xml-rpc support for remote data interaction.