Integrate the Tidy API with the Python API

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

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Popular Ways to Connect Tidy with Python#

Run Python Code with Python API on New Address Created from Tidy API

Tidy + Python

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Run Python Code with Python API on New Job Created from Tidy API

Tidy + Python

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Popular Tidy and Python Triggers#

New Address Created from the Tidy API

Emit new event when a new address is created in Tidy

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New Job Created from the Tidy API

Emit new event when a new job is created in Tidy

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Popular Tidy and Python Actions#

Create Address with the Tidy API

Creates a new address in Tidy. See the documentation(https://help.tidy.com/create-an-address)

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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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Update Job with the Tidy API

Updaets a job in Tidy. See the documentation

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Overview of Tidy#

The Tidy API offers a range of functions tailored for property management, enabling users to automate tasks like booking cleanings, managing properties, and keeping track of services. Integrating the Tidy API into Pipedream workflows opens up possibilities for automating communications, scheduling, and property management tasks by connecting Tidy with hundreds of other apps. This can significantly streamline operations for property managers, cleaning services, and real estate businesses.

Connect Tidy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tidy: {
      type: "app",
      app: "tidy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tidy.com/api/v1/addresses`,
      headers: {
        Authorization: `Bearer ${this.tidy.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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