Integrate the Schedule API with the Python API

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

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Popular Ways to Connect Schedule with Python#

Run Python Code with Python API on Custom Interval from Schedule API

Schedule + Python

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Run Python Code with Python API on Daily schedule from Schedule API

Schedule + Python

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Run Python Code with Python API on Monthly Schedule from Schedule API

Schedule + Python

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Run Python Code with Python API on Weekly schedule from Schedule API

Schedule + Python

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Popular Schedule and Python 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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Popular Schedule 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 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.

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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