Build a heatmap from raw IP address logs
Turn a plain access log full of IP addresses into a set of mapped coordinates ready to plot as a heatmap, by resolving unique addresses in bulk.
Turn a plain access log full of IP addresses into a set of mapped coordinates ready to plot as a heatmap, by resolving unique addresses in bulk.
Address lists can now be sent as a single bulk call, with each address counted individually rather than the whole call counting as one request.
A bulk request with thousands of items in one call needs a timeout budget that matches its size, not a default meant for a single lookup.
Export a customer list from your CRM and resolve every address to coordinates in one bulk request, instead of calling the API once per record.
There is no async job queue here, just synchronous bulk requests, so a large job means chunking and polling your own quota headers.
Resolve every postal code in a customer export in one batch request, instead of looking up each row individually one at a time.
A single call with a hundred addresses inside it counts as a hundred requests, not one. Here is why we count bulk calls by item instead of by call.
Send a list of latitude and longitude pairs to the reverse endpoint in one call and get back an address for each one, in order, without extra overhead.
Turn a spreadsheet export into a single POST request and get back one geocoded result per row, without writing a request loop or paying for extra calls.