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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.
Pumilio is a web-based sound analysis and archive system for almost any kind of sound file with tools to see the spectrogram of the sound, select regions for further analysis and insertion in a database, filtering, and many other manipulations.
Web gallery based on pre-generated metadata, typically according to directory structure, not database or an administration. Development moved to: http://github.com/martinkozak/fsgal.
bitHull is a Simple unstructured data store-and-share mechanism. It is part experimental graph-based task/note/idea management system and part data aggregator.
A group of specific modules that allow to create and manage a simple distance learning system including audio/video and slide synchronization (in live streamed session too), slideshows, content management, teacher/student chat.
Landlords, multi-family homes, manufactured home communities, single family homes, associations, commercial properties and mixed portfolios.
Rent Manager is award-winning property management software built for residential, commercial, and short-term-stay portfolios of any size. The program’s fully customizable features include a double-entry accounting system, maintenance management/scheduling, marketing integration, mobile applications, more than 450 insightful reports, and an API that integrates with the best PropTech providers on the market.
Self-Organizing Photo Album is an application that automatically organizes your collection of pictures primarily based on the location where the pictures were taken, at what event, time etc.