Hi Tom,

Before you dive into creating your own dasbhoard,
take a look at Google Base's built-in 'Performance dashboard':
http://www.google.com/base/performance

Another tool is by Tom Wilson, an active Base developer.
He has created a similar dashboard using the API:
http://dev.tomthedeveloper.com/googlebase/

I don't think either of those pages have all the stats you're
interested in (i.e. correlating search terms with how
frequently an item shows results). You'd have to write your own
tool for something like that.  Keep in mind that queries through
the API are different from queries through Google Base.

Eric

On Sep 28, 8:22 am, Tom_EA <[EMAIL PROTECTED]> wrote:
> Hello all!
>
> I am currently trying to come up with a good way to measure the
> performance of real estate listings submitted via Google Base and
> appearing in the real estate search results.
>
> For example, if we submitted a series of listings for Townsville, CA
> from a web site called, say, realestatewebsite.site, then I would
> like to be able to pull data to generate a report on how prominently
> results from realestatewebsite.site are appearing when someone
> searches for "houses in Townsville, CA".
>
> It has been suggested to me that, using the Google Base Data API, we
> could write a tool to run searches against Base programmatically and
> receive a structured xml file in return, which we could then parse to
> find the rankings of properties.
>
> I know this wouldn't be 100% accurate given the ability of Base users
> to set their listings to not appear via the API, but it is the best
> solution that has been suggested thus far.
>
> So, my first question is... do folks here who are familiar with the
> Base API agree that this is the best way to approach it or is there
> another approach I'm overlooking? Secondly, does anyone have or know
> of a tool already in existence to accomplish this, before we attempt
> to "re-invent the wheel?" And, third, if no tool does exist and we
> have to begin from scratch, does anyone have any suggestions or
> pointers that we should be considering as we begin?
>
> Thanks!
>
> - Tom
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