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Schedule

Trigger workflows on an interval or cron schedule.

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Python

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.

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

With Schedule - A trigger provided by Pipedream - You can easily build
automated workflows that run on regular times or intervals. Some examples of
things that you can build using the Schedule API include:

  • Automated data retrieval from a third-party service, like pulling stats from
    your Salesforce account on a set schedule.
  • Uploading new data sets to a database with a predetermined interval.
  • Automatic emails to customers or leads at a certain time of the day.
  • Automating data analysis based on a set schedule.
  • Automatically optimizing social media postings according to a specified
    timeline.
  • Updating webpages at a certain interval with newly available content.
  • Re-running reports on a periodic basis.
  • Refreshing a cache of data at a given frequency.

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

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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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