Integrate the Cronfree API with the Python API

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

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Popular Ways to Connect Cronfree with Python#

Run Python Code with Python API on New Message Received (Instant) from Cronfree API

Cronfree + Python

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Popular Cronfree and Python Triggers#

New Message Received (Instant) from the Cronfree API

Emit new event when a new message is received. See the documentation

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Popular Cronfree 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 Cronfree#

The Cronfree API allows you to schedule tasks to run at specific intervals, similar to a traditional cron job, but with the flexibility of web-based management. On Pipedream, you can harness this API to trigger workflows on a schedule, offload periodic tasks from your apps, and integrate with other services to perform actions like sending emails, updating databases, or even automating social media posts.

Connect Cronfree#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cronfree: {
      type: "app",
      app: "cronfree",
    }
  },
  async run({steps, $}) {
    const data = {
      "hookUrl": `{{your_hook_url}}`,
      "license_key": `${this.cronfree.$auth.license_key}`,
      "wdays": `{{your_wdays}}`,
      "months": `{{your_months}}`,
      "hours": `{{your_hours}}`,
      "minutes": `{{your_minutes}}`,
      "timezone": `{{your_timezone}}`,
    }
    return await axios($, {
      method: "post",
      url: `https://login.cronfree.com/zapier/schedule`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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