Our team is preparing an overnight report on public New Zealand listings, and the first trial produced a strange gap in the timeline. Requests went through a New Zealand proxy, but the report grouped records by the server’s date in London. Some entries appeared under the previous day, which made a normal update look like missing data. I want to fix the method before we add more sources. Would you store everything in one time zone, or keep a local timestamp for each source? The proxy location seems straightforward, but the reporting clock has become the harder part.

I would keep the original capture time in UTC and store the intended reporting zone as a separate field. Then the report can group records by New Zealand calendar dates without losing the raw sequence. A local IP does not set your server clock or decide how your software interprets dates. Test the boundary around midnight, and use a named time zone instead of a fixed offset when local clock changes matter. I would also distinguish the time a page was fetched from any publication date printed on it. Those fields answer different questions and should not silently replace each other.

That separation would make the report much easier to audit. I would write down the network location, capture time, and date rules before the next trial. It gives the team a shared definition of what counts as a daily result. The page at https://www.simplynode.io/locations/new-zealand-proxies has plenty of useful information about New Zealand proxy routing and session settings. Use those details for the connection setup while handling dates in the reporting software. Run a small sample on both sides of midnight and inspect how the records are grouped. Once that sample behaves as intended, expand the collection without changing several settings at once.