Integrate the Tave API with the Python API

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

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Popular Tave 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 Tave#

The Tave API is a powerful tool for managing studio operations, including client management, job tracking, and financial insights. By integrating Tave with Pipedream, you can automate workflows, sync data across applications, and trigger actions based on specific events. This can save time, reduce manual errors, and allow you to focus on more creative aspects of your business. Whether you're looking to streamline your lead management, automate your booking process, or keep your accounts in sync, Pipedream's serverless platform facilitates these connections with minimal setup.

Connect Tave#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tave: {
      type: "app",
      app: "tave",
    }
  },
  async run({steps, $}) {
    const data = {
      "SecretKey": `${this.tave.$auth.secret_key}`,
      "Brand": `Test Brand`,
      "Email": `actiondev.project@gmail.com`,
      "FirstName": `Action`,
      "LastName": `Developer`,
    }
    return await axios($, {
      method: "post",
      url: `https://tave.app/webservice/create-lead/${this.tave.$auth.studio_id}`,
      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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