Search Results for "browser"
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Showing 12 open source projects for "browser"
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Automate contact and company data extractionGenerate 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.
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GoAccess
GoAccess is a real-time web log analyzer and interactive viewer
GoAccess is an open-source, real-time log analyzer and interactive viewer for web server logs. It runs in terminals on UNIX-like systems and can generate standalone HTML, JSON, or CSV reports for browser-based analysis. GoAccess offers enhanced WebSocket authentication, supporting local and external JWT verification, with secure token refresh capabilities and seamless integration with external authentication systems. GoAccess allows any custom log format string. Predefined options include, Apache, Nginx, Amazon S3, Elastic Load Balancing, CloudFront, etc. ... -
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Log.io
Real-time log monitoring in your browser
Inputs watch log files for changes, send new log messages to the server, which broadcasts to web clients. Log messages are tagged with stream and source information based on user configuration. log.io has no persistence layer. File inputs are informed of file changes via inotify, and log messages hop from input to server to web client via TCP and socket.io, respectively. log.io uses a stateless TCP API to receive log messages. Writing a third party harvester is easy. Open a TCP connection to... -
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Website Analyzer
Real-time traffic analysis for your website for 100% FREE
Powered by http://www.softwaresuite.de Similar service cost at least $ 10 in a month. With this software, you get the opportunity to analyze your website visits in real time. Website Analyzer service is ad-supported and therefore it is free for you to 100%. Live web stats and traffic analytics. Observe your visitors interacting with your web site in real time and much more in our feature list. -
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Postfix Lazy Log Analyzer
A decade old shell script to ease postfix log analysis
...The shell script should run against postfix mail log file and generate statistic and detailed HTML files for analysis. The initial idea is to have it running on a webserver to be remotely accessible; however, the file can be easily opened by any browser. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Slickster provides tools for viewing and analyzing Log4J logs in a multi-server distributed environment. Log4J logs are centralized into a database. Logs are viewed through a browser. Logs can be filtered and monitored in real-time.
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The Sparten Log Viewer is designed to allow users to view log files online through a web browser. It is currently based on php and runs on any platform that support standard unix log format, php, and tail.
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A framework for logging of Java script errors,exceptions and debug messages on web server using Ajax.Logs will be written by Ajax Log processor on web server in XML format, which is called by Java script functions on browser.
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G-P - Global EOR SolutionWith G-P's industry-leading Employer of Record (EOR) and Contractor solutions, you can hire, onboard and manage teams in 180+ countries — quickly and compliantly — without setting up entities.
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Web log analyzer... Written in Java, aims to provides the usual host / page analysis. Can also do site graphing using graphviz, browser, os, worm and search engine identification, and country and session tracking.
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Smartreferer is a small and lite set of PHP files that can be used to track and display information (referer, browser information) about the latest visitors on your homepage. Needs PHP 4+ and MySQL 3+.
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Mojo Webstats is a simple web statistics tool. It uses Javascript, PHP and MySQL to process web statistics. Includes: 1) date/time, 2) document location and title, 3) ip address and hostname, 4) browser version, 5) visitor resolution, and 6) referrer.
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