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Customized parsing databases can be configured to
intelligently read
web pages and then extract and filter target information into re-usable
formats. |
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While there are many parsers available that
can scrape simple HTML output, few can be programmed with the high level
of specificity that FileMaker provides. In addition, FileMaker web
parsers can be set to extract information on timed intervals, making it
possible to connect to, query, and filter the results of dynamic,
database-generated information. |
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- data can be intelligently
extracted from multiple sources
- connections can be scheduled in
order to "page" dynamic data
- extracted data can be filtered,
sorted, and re-assembled
- data can be inserted into Excel,
FileMaker, SQL, or XML
Compiling information from different business intelligence
sources (web pages, news
feeds, product databases, research documents, web services, etc...) by
manually searching, copying, and pasting data is tedious, error-prone,
and inefficient. |
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By combining FileMaker's internal
web viewer, calculation engine, and script processor,
these databases help you to better leverage this information, compiling
filtered
and sorted data into the formats that best suit your requirements. |
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