Integrate the DataScope API with the Schedule API

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

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Popular DataScope 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 DataScope#

DataScope is a versatile API for data collection and management, ideal for streamlining workflows that involve forms, surveys, or data entry. With DataScope, you can automate the consolidation of data gathered from various sources, analyze submissions in real-time, and trigger actions based on incoming data. It’s a powerhouse for anyone looking to digitize and automate paper-based processes, conduct field research, or collect structured data on the go.

Connect DataScope#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    datascope: {
      type: "app",
      app: "datascope",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.mydatascope.com/api/external/answers`,
      headers: {
        "Authorization": `${this.datascope.$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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