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with Google Calendar and Data Stores?
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Popular Ways to Connect Google Calendar with Data Stores#
Popular Google Calendar and Data Stores Triggers#
Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.
Emit new event when a Google Calendar events is created or updated (does not emit cancelled events)
Emit new event when a Google Calendar event is created that matches a search
Emit new event when a Google Calendar event is cancelled or deleted
Popular Google Calendar and Data Stores Actions#
Add or update a single record in your Pipedream Data Store
Add or update multiple records to your Pipedream Data Store
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
Check if a key exists in your Pipedream Data Store or create one if it doesn't exist.
Overview of Google Calendar#
The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.
Connect Google Calendar#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_calendar: {
type: "app",
app: "google_calendar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_calendar.$auth.oauth_access_token}`,
},
})
},
})
Overview of Data Stores#
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
Connect Data Stores#
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})Community Posts#
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