updated 06:00 pm EDT, Wed May 31, 2006
Anthracite 1.5 mines data
Metafy today announced Anthracite Web Mining Desktop v1.5, which now includes prebuilt solutions and powerful new capabilities for conditional processing and enhanced URL exporting. The company said that the new included solutions allow users to accomplish valuable text processing tasks without requiring complicated scripting, including: converting daily SEC Filings into RSS Feeds; monitoring webpages and stock prices for changes; building maps of related keywords; filtering web server logs; capturing blog and podcast feed information into SQL; and ranking top keywords for search terms using the Google API. In addition, it features new built-in conditional processing, which gives users the ability to filter and categorize text. It requires Mac OS X 10.4 or later and costs $100.
Anthracite also includes more than sixty additional sample documents to show users the building blocks to construct systems that can convert information on webpages and in emails into databases, find the context of terms on webpages (including in foreign languages), integrate legacy UNIX commands into web systems, extract diverse elements from multiple sites into a report, or build a time-series log of a specific dynamic data point available on the web.
"For two years, Anthracite has been helping customers build high value automated text processing systems that previously required custom programming or repetitive manual extraction," explains Joe Pezzillo, Founder of Metafy. "Anthracite 1.5 makes it even easier for non-programmers to capture their business data from the internet, making more information accessible because users can do it themselves."
Anthracite saves time and money by automating the many repetitive web processing tasks for which programmers or system administrators might not want to take the time to write code, according to the company. It works with customers own data on their own computers: use it to process company websites, build custom feeds and reports, filter log files, user comments, and more.