Integrate the Cheddar API with the Schedule API

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

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Popular Cheddar 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 Cheddar#

The Cheddar API provides developers with the ability to manage subscription billing and track customer usage data. In Pipedream, you can leverage the Cheddar API to automate billing operations, synchronize customer data across platforms, and respond to events like payment successes or failures. Use HTTP requests to integrate Cheddar's features into your Pipedream workflows, seamlessly connecting with other apps available on Pipedream's platform.

Connect Cheddar#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cheddar: {
      type: "app",
      app: "cheddar",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://getcheddar.com/xml/plans/get/productCode/DELUXROOM`,
      auth: {
        username: `${this.cheddar.$auth.email}`,
        password: `${this.cheddar.$auth.password}`,
      },
    })
  },
})

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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