Integrate the Cflow API with the Schedule API

Setup the Cflow API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate Cflow and Schedule remarkably fast. Free for developers.

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Popular Cflow and Schedule Triggers#

Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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Daily schedule from the Schedule API

Trigger your workflow every day.

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Monthly Schedule from the Schedule API

Trigger your workflow on one or more days each month at a specific time (with timezone support).

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Weekly schedule from the Schedule API

Trigger your workflow on one or more days each week at a specific time (with timezone support).

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Overview of Cflow#

The Cflow API lets you automate and integrate your workflow management, enhancing your business processes with custom automations. With Pipedream, you can harness this API to create, update, and track workflows without manual interference. This enables you to connect Cflow with various other apps and services, streamlining your processes from initiation to completion.

Connect Cflow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cflow: {
      type: "app",
      app: "cflow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://us.cflowapps.com/integromat/api/cflow/getworkflows`,
      headers: {
        "Content-Type": `application/json`,
        "apikey": `${this.cflow.$auth.apikey}`,
        "userkey": `${this.cflow.$auth.userkey}`,
        "username": `${this.cflow.$auth.username}`,
      },
    })
  },
})

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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