Dropmark
An app to organize all your links, files, and notes into visual collections.
Integrate the Dropmark API with the Schedule API
Setup the Dropmark API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Dropmark and Schedule remarkably fast. Free for developers.
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Popular Dropmark and Schedule Triggers#
Emit new event when a new collection, item, comment, or reaction occurs. See the documentation
Trigger your workflow on one or more days each month at a specific time (with timezone support).
Emit new event when a new item is added to a collection in Dropmark. See the documentation
Popular Dropmark and Schedule Actions#
Retrieves a blended feed of newly created collections, items, comments, and reactions. See the documentation
Retrieves a list of items in a specific collection. See the documentation
Overview of Dropmark#
The Dropmark API enables you to interact programmatically with the Dropmark service, allowing you to create, update, and manage collections and items within those collections. With Pipedream, you can leverage this API to automate workflows that connect Dropmark with other services, process content, and respond to events. For instance, you could automate the organization of resources, sync content across platforms, or even curate collaborative collections effortlessly.
Connect Dropmark#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dropmark: {
type: "app",
app: "dropmark",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.dropmark.com/v1/users/me/`,
headers: {
"X-API-Key": `${this.dropmark.$auth.api_key}`,
},
})
},
})
Overview of Schedule#
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.
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