Integrate the Pipedream Utils API with the Python API

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

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Popular Pipedream Utils and Python Actions#

Formatting - [Data] Convert JSON to String with the Pipedream Utils API

Convert an object to a JSON format string

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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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Formatting - [Data] Parse JSON with the Pipedream Utils API

Parse a JSON string

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Formatting - [Date/Time] Add/Subtract Time with the Pipedream Utils API

Add or subtract time from a given input

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Formatting - [Date/Time] Compare Dates with the Pipedream Utils API

Get the duration between two dates in days, hours, minutes, and seconds along with checking if they are the same.

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Overview of Pipedream Utils#

The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.

Connect Pipedream Utils#

export default defineComponent({
  props: {
    pipedream_utils: {
      type: "app",
      app: "pipedream_utils",
    }
  },
  async run({steps, $}) {

  },
})

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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