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Cloud tools for web scraping and data extractionAutomate 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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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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GitHub Résumé
Resumes generated using the GitHub informations
...By connecting with GitHub, the application extracts key data such as repositories, contributions, and activity, then formats it into a clean, easy-to-share résumé. This tool is ideal for software engineers, open source contributors, and students who want to showcase their coding experience without manually formatting everything. The project focuses on simplicity, automation, and making your GitHub profile presentable in a résumé format. With its streamlined approach, it provides a quick way to highlight your technical background in a professional context. You must have Ruby and the Rack gem installed.
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