Google's Calendar API lets software read, create, and update calendar events, and subscribe to push notifications so it can react the instant something changes, all without a person opening Calendar to check. We build on top of that API to connect Calendar to whatever system actually runs your business, and reach for headless-browser automation for the handful of settings, like Appointment Schedules configuration, that Google never exposed through the API in the first place.
Reading and writing events. Once a calendar owner grants access, through OAuth 2.0, or a service account on a Workspace domain, the API can list, create, update, and delete events: the same actions you'd do by clicking around Calendar, just from code instead.
Push notifications instead of polling. Rather than checking the calendar every few minutes for changes, you can register a webhook through the `watch` method, and Google pings it the moment a watched calendar changes, so an integration reacts within seconds of a booking landing on the calendar.
What it won't do. The API covers events and calendars; it doesn't cover the Appointment Schedules booking-page feature itself. You can't create or configure an Appointment Schedule through the API, only read the bookings it generates afterward as ordinary calendar events. For a business running more than a handful of these pages, one per technician, one per location, that gap means someone's still clicking through the Calendar interface by hand to set each one up.
Reading events out of a calendar is the easy part of this. Deciding what a new booking should actually trigger, a job record, a text reminder, a deposit request, is the part that takes real engineering time, and it's the part Google never does for you. Google's own quota rules and service-account limits can also catch a business off guard once it's watching more than a handful of calendars at once, which is usually the point where a scrappy script needs to become something properly built.
Tell us how many staff, locations, or service types each need their own booking page, and we set up and maintain the Appointment Schedules behind them through browser automation, since Google's API has no endpoint for that part.
A Calendar push notification triggers whatever your business needs next the moment it fires: a job created, a record updated, an alert sent, instead of a bare notification nobody acts on.
Tell us what you're trying to connect it to and where it's not working. We can usually tell pretty quickly whether it's an OAuth scope issue, a quota limit, or something that genuinely needs browser automation instead.
Tell us what you're trying to build and where it's stalling, a scope that won't grant, a webhook that isn't firing, a setting the API just doesn't expose. And if the real bottleneck turns out to be somewhere else in the business entirely, we take that on too, any tool, any process.
Let's talk →Yes. You create a Google Cloud project, enable the Calendar API inside it, then generate OAuth 2.0 credentials (or a service account key for domain-wide Workspace access) before any request will work. It's a one-time setup step, not something you redo per integration.
An API key alone only grants read access to public calendar data. Anything that touches a real person's calendar, reading their private events or creating one, needs OAuth 2.0 consent or a Workspace service account, not just a key.
Yes, through push notifications: you register a webhook URL with the `watch` method, and Google pings it the moment a watched calendar changes, instead of your integration polling on a schedule and hoping it didn't miss anything.
No. Appointment Schedules has to be configured by hand in the Calendar interface; the API can only read the events it produces afterward. If you're managing a lot of these pages, that's exactly the kind of gap we close with browser automation instead of a missing endpoint.
Yes, an official Python client (`google-api-python-client`) alongside libraries for several other languages. It's one of the more common choices we reach for when a client's backend already runs on Python.