The following best practices apply to the Actions Center Local Services Ads End-to-End integration and can be leveraged to avoid usability and performance issues. Low data quality might lead to inventory takedown.
Feeds
- If a service doesn't have a set length, set
duration_sec
in the Availability feed to one of the following:- The number of seconds it takes to perform the service in a reasonable manner.
-
The average number of seconds required to complete the service.
- Make the
Category
field input in the merchant's feed is specific. For example, a restaurant might submit a specific type, such as French or Japanese. For details, see Place types for potential category values. -
Set merchant-specific terms of service in the
Terms
field of the Merchant feed so that the following note appears below the Book button:By continuing, you agree to <merchant>'s Terms of Service.
In this case, "Terms of Service" is a link that, when clicked, displays the text set in the terms text field. -
Compress your feeds using
gzip
Booking Server
To optimize your integration of the Maps Booking API, do the following:
- Always use UNIX timestamps in UTC format.
- Generate a unique booking ID when a new booking in the
CreateBooking
API is called.
Real-time updates
To ensure the best user experience during the booking process, do the following:
- For a standard implementation, use the BookingNotifications API to change the start time, duration, and booking state, such as cancellation or no-show, of an appointment.
- Upon any change on the Actions Center booking from your side, always send real-time booking updates from the system with the BookingNotification API in real-time so that the data doesn't become stale on the Actions Center side. For example, you can cancel, reschedule, or update a booking from your system in the Actions Center.
- For every booking update from
UpdateBookingRequest
, make sure that theUpdateBookingResponse
value contains the booking ID and that all updated fields must reflect the new value. -
If Inventory RTU
are implemented
- Only update availability in batches of 100-1000 slots per API call.
-
Use
*Restrict
(such asstartTimeRestrict
) fields to narrow the edit target, reduce payload size and avoid re-sending too much unchanged data. -
If you spin off several threads, implement an
exponential backoff
to prevent throttle errors. If you don't implement an exponential backoff correctly, you might
get a
RESOURCE_EXHAUSTED
quota error. You can retry the exponential backoff to handle them, but, if you find that your server often reaches quotas when you runReplaceServiceAvailability
, configure your server to batch replace for availability. This solution prevents quota errors because it reduces the number of API calls your serve has to make.
- Set your API call response time limits to less than one second. Ensure that your server can handle five queries per second (QPS) with sub-second latency at least 95% of the time.