Integrate the Sessions API with the Schedule API

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

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Popular Sessions and Schedule Triggers#

New Session Ended from the Sessions API

Emit new event when a session ends. Useful for data processing initiation. See the documentation

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Custom Interval from the Schedule API

Trigger your workflow every N hours, minutes or seconds.

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New Session Started from the Sessions API

Emit new an event when a session starts. See the documentation

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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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Overview of Sessions#

The Sessions API enables developers to handle real-time data streams and manage user sessions effectively. With Pipedream's power to integrate various services, the Sessions API can be the backbone of workflows that require managing user states across events. You can track user activities, tailor user experiences based on session data, or even trigger specific actions when certain session events occur.

Connect Sessions#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sessions: {
      type: "app",
      app: "sessions",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.app.sessions.us/api/booking-pages`,
      headers: {
        "x-api-key": `${this.sessions.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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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