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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.
Parses a log file, shows the relevant information in a table
...Is fully customizable:
- which information to show
- adding alternative parsers
- reads from a file or a http server
Current alpha version supports multiple parsers, for which the specification is found in an XML file (which should have the extension '.lpc'. The interface is not customizable yet. If you're interested in how it is done, check out the code.
YAML (tm) is a straight-forward data serilization language, offering an alternative to XML where markup (named lists and mixed content) are not needed. YAML borrows ideas from rfc822, SAX, C, HTML, Perl, and Python.
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)