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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.
daddyQ, written in Python, monitors and logs disk usage on file servers, and take actions on excessive disk usage. Users that are often over their quota or are over the quota with excessive disk usage get their files deleted.
RRFiller provides an easy-to-use solution for logging statistics into an RRDTool database. Designed to complement RRGrapher, the project also provides configurations for creation and updating RRD databases using standard tools like vmstat and netstat.
pam_eps enables you to authentify users against a machine with a ssh daemon running. If the user exists in the remote server and the password is correct a new user with the expecified password and username will be created in the local machine.
Pymoodss is a multithreading python extension library for
the moodss server monitoring system. Modules for mod_backhand, df, psgrep,
ping, mdstat are avaible.
The Secure Remote Log Monitor (SRLM) project provides client and server
utilities that collect application or system log files from multiple systems over an untrusted network onto a central server for analysis and action.
Sarvant (SAR Visual ANalysis Tool) is a python script that will analyze a sar file (from the sysstat utility, 'sar') and produce graphs using gnuplot of the collected data.
Dun and Bradstreet Risk Analytics - Supplier Intelligence
Use an AI-powered solution for supply and compliance teams who want to mitigate costly supplier risks intelligently.
Risk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
DPytHOS is a means for administrators of large networks to both
monitor and manage the servers under their control.
DPytHOS is implemented in python and uses a generic database
back-end (with MySQL supported and MS-SQL 2000 supported via
XML)
Logpecker is a tool for syslog files like /var/log/messages. More flexible than a simple regexp matcher, you can use syslog facility and priority. Messages that appear too often are sieved out. Generates root-tail tickers, reports, active event lists
Originally written by Paul Vixie in 1986 and distributed through mod.sources, "display" is a program which will repeatedly execute a command and display the output through curses. The purpose of this project is to maintain and extend display.
Shadow Watcher is a Peer to Peer log sharing tool for the security analyst. Consider it a "community watch" program which allows you to keep your system secure from the threats on the internet and help others do the same.
Mutant is a multi-threaded command line monitoring tool, written in Python, using the ncurses library. With it, you can watch the output from multiple commands in a single terminal. Each command has a specific interval and color.
This project offers a client/server tool to analyze the /var/log/auth.log in order to gather information about the login attempts. The information is sent to a server side where the datas are stored in a sqlite database.