Integrate the Agiliron API with the Python API

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

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Popular Ways to Connect Agiliron with Python#

Run Python Code with Python API on New Contact Created from Agiliron API

Agiliron + Python

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Run Python Code with Python API on New Lead Created from Agiliron API

Agiliron + Python

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Run Python Code with Python API on New Task Created from Agiliron API

Agiliron + Python

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Popular Agiliron and Python Triggers#

New Contact Created from the Agiliron API

Emit new event when a new contact is created in Agiliron. See the documentation

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New Lead Created from the Agiliron API

Emit new event when a new lead is created in Agiliron.

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New Task Created from the Agiliron API

Emit new event when a new task is created in Agiliron.

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Popular Agiliron and Python Actions#

Create Contact with the Agiliron API

Generates a new contact within Agiliron. See the documentation

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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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Create Event with the Agiliron API

Creates a new event within Agiliron. See the documentation

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Create Lead with the Agiliron API

Establishes a new lead within Agiliron. See the documentation

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Connect Agiliron#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    agiliron: {
      type: "app",
      app: "agiliron",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.agiliron.$auth.subdomain}.agiliron.net/agiliron/api-40/Accounts`,
      headers: {
        "Accept": `application/json`,
        "apiKey": `${this.agiliron.$auth.api_key}`,
      },
      params: {
        filter: `CreatedTime,bt,01-15-2000 | 01-31-2025`,
      },
    })
  },
})

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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