Delay the execution of any part of your workflow for as little as one millisecond, or as long as one year.

Integrate the Delay API with the Python API

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

Delay Workflow with the Delay API

Delay the execution of your workflow for a specific amount of time (does not count against your compute time).

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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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Overview of Delay

The Delay API allows you to build workflows that wait a specified amount of
time before continuing. This can be useful for rate-limiting actions, or
waiting for an external event to occur.

Here are some examples of what you can build using the Delay API:

  • A workflow that sends a Slack message after a specified amount of time
  • A workflow that checks for new data from an external API every hour
  • A workflow that backs up a file to Dropbox every day

Connect Delay

export default defineComponent({
  async run({steps, $}) {
    // Specify the amount of time to delay your workflow in milliseconds
    return $.flow.delay(5000)

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

def handler(pd: "pipedream"):
  # Reference data from previous steps
  # Return data for use in future steps
  return {"foo": {"test":True}}