Integrate the Razorpay API with the Schedule API

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

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Popular Razorpay 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 Razorpay#

The Razorpay API provides a robust platform for handling payments and financial transactions, allowing you to integrate payment processing into your websites or apps. This versatile API enables automated payment capture, refunds, transfers, and the management of subscriptions. With Pipedream, you can weave Razorpay's capabilities into workflows that streamline payment operations, send real-time notifications, synchronize data across platforms, and more.

Connect Razorpay#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    razorpay: {
      type: "app",
      app: "razorpay",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.razorpay.com/v1/items`,
      auth: {
        username: `${this.razorpay.$auth.key_id}`,
        password: `${this.razorpay.$auth.key_secret}`,
      },
    })
  },
})

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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