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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
This repository serves as our entire project space which contains all of the open-source projects we've worked on.
- C/C++
- C#/.NET
- PHP
- HTML5/CSS3
Web-based (with desktop installation possible) application that helps keep track of and manage a book collection. Working demo (read-only) here: http://www.fraca7.net:8000/books/. Integration with an iPhone version planned.
This project is an customised, highly evolved open source L2J server emulation software. Main source bases mostly on L2JOfficial project files. Project is written in Java, Python, XML, HTML, SQL and so on. //// and is not available to all anymore. ho
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.
XSDB XML is to DATA as HTML is to DOCUMENT. Publish and combine data as easily as HTML format and web browsers publish and view documents. Implementations in Python, javascript, java, C#/.NET.
ipymssql provides Python support for Microsoft SQL Server. It uses the .NET Framework Data Provider for SQL Server in IronPython. It adheres to the Python DB API 2.0 interface, and supports callproc().