Integrate the Turbot Pipes API with the Python API

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

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Popular Turbot Pipes and Python Actions#

Create Organization with the Turbot Pipes API

Creates a new organization in Turbot Pipes. See the documentation

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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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Delete Organization with the Turbot Pipes API

Deletes the specified organization. See the documentation

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Update Organization with the Turbot Pipes API

Updates an organization. See the documentation

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Overview of Turbot Pipes#

The Turbot Pipes API allows for sophisticated data integration and workflow automation across a variety of sources and services. With Turbot Pipes, you can design data pipelines that connect your systems, automate data transformations, and orchestrate tasks to streamline your operations. The API provides methods to create, manage, and execute these data pipelines, which can be especially powerful when leveraged through Pipedream's serverless platform. You can connect Turbot Pipes with numerous other apps available on Pipedream to automate data flows, sync information, and react to events in real-time.

Connect Turbot Pipes#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    turbot_pipes: {
      type: "app",
      app: "turbot_pipes",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pipes.turbot.com/api/v0/actor`,
      headers: {
        Authorization: `Bearer ${this.turbot_pipes.$auth.token}`,
      },
    })
  },
})

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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