Integrate the Conveyor API with the Schedule API

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

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Popular Conveyor 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 Conveyor#

The Conveyor API facilitates automated management of continuous delivery for your applications, allowing you to build, test, and deploy code with ease. By leveraging Pipedream's integration capabilities, you can connect the Conveyor API with a multitude of apps to streamline your CI/CD pipeline, automate deployment tasks, and synchronize your development workflow with other services such as version control, project management, and notification systems.

Connect Conveyor#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    conveyor: {
      type: "app",
      app: "conveyor",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.conveyor.com/api/v2/exchange/authorization_requests`,
      headers: {
        "X-API-KEY": `${this.conveyor.$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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