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Parsing databases programmatically submit data
to and then read responses
from ASP and PHP-enableb web sites and can extract and filter the
returned information. |
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While there are other 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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- calculated queries can be intelligently
submitted and responses read
- connections can be scheduled in
order to "page" dynamic data
- returned information can be
validated,
sorted, and re-assembled
- filtered 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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