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.

Popular Delay and Python Actions#

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).

Try it

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.

Try it

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)
  },
})

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