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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.

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1

kindlegarten

A simple web server providing account-based bookmark organization and email reading for the kindle (and other e-readers). Designed with e-reader ergonomy in mind and intended to minimize data traffic.

Downloads: 0 This Week

Last Update: 2016-04-23
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2

phlyMail Free

phlyMail is a Webmail and data hosting application. It features IMAP, POP3, SMS, Fax support, a Calendar, Bookmarks, files manager. Multiuser and single user editions available.

Downloads: 0 This Week

Last Update: 2017-05-02
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3

Universal Access for Family Management

Public Computing Services strives to provide essential information management to families that can't afford commercial software. Browser-based applications help users manage health, communications, education, legal, financial, home and employment data.

Downloads: 0 This Week

Last Update: 2013-03-19
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4

ClanOffice

ClanOffice is a planning tool for gaming clans, using a mysql server to store and share data. It includes a warplanner and calendar and uses simple built-in irc and mail clients to communicate to fellow gamers. A php websuite is allso available.

Downloads: 0 This Week

Last Update: 2013-02-21
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.

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