Integrate the DataScope API with the Python API

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

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Popular DataScope and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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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 Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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