Integrate the Favro API with the Python API

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

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Popular Favro and Python Actions#

Create Organization with the Favro API

Creates a new organization. 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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List Users with the Favro API

List all users in the organization. See the documentation

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Update Organization with the Favro API

Updates an existing organization. See the documentation

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Overview of Favro#

The Favro API gives you the power to automate and integrate your project management tools with a host of other services. With Favro and Pipedream, you can create custom workflows to synchronize tasks, update cards, manage boards, and collaborate more effectively across your organization. Whether you're syncing with a CRM, triggering notifications, or generating reports, Pipedream's serverless platform makes it simple to connect Favro with other apps to streamline your processes.

Connect Favro#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    favro: {
      type: "app",
      app: "favro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://favro.com/api/v1/organizations`,
      auth: {
        username: `${this.favro.$auth.username}`,
        password: `${this.favro.$auth.api_token}`,
      },
    })
  },
})

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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