Integrate the Tookan API with the Python API

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

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Popular Tookan and Python Actions#

Create Appointment Task with the Tookan API

Create an appointment task See docs here

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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 Delivery Task with the Tookan API

Create a delivery task See docs here

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Create Field Workforce Task with the Tookan API

Create a field workforce task See docs here

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Create Pickup And Delivery Task with the Tookan API

Create a pickup and delivery task See docs here

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Overview of Tookan#

The Tookan API allows for the automation and streamlining of delivery and field services. By integrating with Pipedream, users can trigger workflows based on events within Tookan, such as new task creation, task status updates, or agent alerts. This enables businesses to connect Tookan with other apps and services, automating notifications, data synchronization, and logistics operations, leading to improved coordination, customer satisfaction, and operational efficiency.

Connect Tookan#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tookan: {
      type: "app",
      app: "tookan",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.tookan.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.tookanapp.com/v2/get_user_details`,
      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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