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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.
Proxyee is a JAVA-written HTTP proxy server library that supports HTTP, HTTPS, and WebSocket protocols, and supports MITM (Man-in-the-middle), which can capture and tamper with HTTP, and HTTPS packets. The CA certificate (src/resources/ca.crt) from the project needs to be imported to a trusted root certificate authority. The CA certificate (src/resources/ca.crt) from the project needs to be imported to a trusted root certificate authority.
...YourKit is kindly supporting this open source project with its full-featured Java Profiler. YourKit, LLC is the creator of innovative and intelligent tools for profiling Java and .NET applications. CentOS, 1 CPU, 4GB RAM runned on VM, CPU 10%, Memory 15%, 6000 xhr-long polling sessions or 15000 websockets sessions, 4000 messages per second.
Provide two well designed and out of box websocket c++ classes
Websocketfiles provides two well designed and out of box websocket c++ classes that you can easily use in your ongoing project which needs to support websocket. The purpose of this project is to let you add websocket support in your c++ project as quickly/efficient as possible.The websocketfiles is designed as simple as possible and no network transport module included. It exports two network interfaces named from_wire/to_wire that can be easily binding with any network modules(Boost.Asio, libuv, libevent and so on).
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
This is a Karellen fork of gevent-websocket. The goal of this fork is to maintain the project to support Python 3.3, 3.4 and 3.5+ as well as latest WS standards errata.